Natural Science by Maria Al_Zoubi

Haya Mahmoud

haiamahmoud063 — 2024-09-27 18:13:14 UTC

It works both ways. Scientists use their research and empirical work, professional views, and integrity, so they can help define what's considered acceptable within the natural science field. However, societal values, cultural norms, and public opinion usually have a bigger influence on those ethical standards.

For example, recently, the public's opinion and concern about climate change have caused to adding of regulations (making it stricter too) and ethical guidelines that scientists must listen to.

Sources: Iaccarino, M. (n.d.). Science and ethics - PMC. NCBI. Retrieved September 27, 2024, from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1084045/

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Haya Mahmoud

haiamahmoud063 — 2024-09-27 18:20:07 UTC

Natural science provides empirical evidence through the scientific method. First, they make a hypothesis based on observations, then they make experiments to test their hypotheses, and then analyze and finalize the data to reach a conclusion. Scientists then use models or theories to summarize and synthesize knowledge.

For example, the water cycle in biology.

Sources: Science Produces Explanations That Can Be Tested Using Empirical Evidence. (n.d.). NCBI. Retrieved September 27, 2024, from https://www.ncbi.nlm.nih.gov/books/NBK208858/

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Haya Mahmoud

haiamahmoud063 — 2024-09-29 06:35:24 UTC

There isn't a specific standard for methods in scientific progress, it can use many techniques, and different science fields can also have different approaches.

For example, in biology, scientists might use the scientific method to test a hypothesis about mesocosm by conducting controlled experiments with different light conditions. On the other hand, an astronomer studying distant galaxies would analyze existing data from telescopes without performing direct experiments because it's space.

Sources: Ellerton, P. (2016, September 15). What exactly is the scientific method and why do so many people get it wrong? School of Historical and Philosophical Inquiry. Retrieved September 29, 2024, from https://hpi.uq.edu.au/article/2016/09/what-exactly-scientific-method-and-why-do-so-many-people-get-it-wrong

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Sarah Jasim

sarahjasim027 — 2024-09-29 06:42:57 UTC

No, there isn't a single scientific method as scientific progress requires different kinds of scientific methods to reach a conclusion.

National Center for Biotechnology Information. (n.d.). Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1635141/#:~:text=There%20is%20no%20such%20unique,order%20to%20test%20those%20theories.

Sarah Jasim

sarahjasim027 — 2024-09-29 06:49:02 UTC

Imagination and intuition are really important in the creation of hypotheses in natural science as they enable scientists to explore new possibilities, recognize patterns, and refine their hypotheses.

Dordi, K. (2023, November 5). Intuition and its Application in Natural Science - New Acropolis Library. New Acropolis Library. https://library.acropolis.org/intuition-and-its-application-in-natural-science/

Haya Mahmoud

haiamahmoud063 — 2024-09-29 06:52:41 UTC

Scientific laws, are created empirically with little to mo bias (is objective) and are universally accepted even with different, in this case, that's gravity. However, human rights are effected, influenced (by cultural and societal context), interpreted and implemented differently.

Example: North Korea limits individual freedom but countries like Sweeden gives rights to each person.

Sources: Whitehouse, C. (n.d.). Science and Human Rights (9.4.2) | IB DP TOK Notes. TutorChase. Retrieved September 29, 2024, from https://www.tutorchase.com/notes/ib/tok/9-4-2-science-and-human-rights

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 06:53:40 UTC

No there isn't a single scientific method. The scientific progress needs many methods for different fields like physics, biology, and psychology. However, at the beginning of a students' science journey, they are introduced to the "Scientific method".

Luis M. Camarinha-Matos. (n.d.). Scientific Research Methodology and Techniques. Universidade NOVA De Lisboa. https://www.geophysik.uni-muenchen.de/~valerian/Scientific_Working/SRMTunit2.pdf

Sarah Jasim

sarahjasim027 — 2024-09-29 06:56:16 UTC

Natural scientists offer explanations that describe the rules that govern the natural world through scientific methods.

Guo, R. (2017). Studying borders, evaluating border effects. In Elsevier eBooks (pp. 51–80). https://doi.org/10.1016/b978-0-444-64002-4.00003-9

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 07:03:10 UTC

Both imagination and intuition is important in the creation of hypothesis in natural science. With imagination and intuition we have the ability to imagine which helps in the process of hypothesis and then test it through experimentation.

Ahmad, & Khan. (2017). Dialectics of Imagination and Experimentation: Basic science research in developing countries. National Library of Medicine. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368320/

Sarah Jasim

sarahjasim027 — 2024-09-29 07:07:04 UTC

Many of the laws in NS use the language of mathematics as it provides a powerful tool to describe and understand the different kinds of patterns and structures of the natural world.

Cosmos, D. (n.d.). Why mathematics explain the laws of nature? Dark Cosmos. https://darkcosmos.com/home/f/why-mathematics-explain-the-laws-of-nature#:~:text=Mathematics%20explains%20the%20laws%20of,is%20often%20incomplete%20and%20approximate.

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 07:09:21 UTC

Natural scientists offer empirical evidence and they offer offer natural explanations for natural phenomena. These explanations describe how things work, why they happen, what they do, and what they are.

What kinds of explanations do natural scientists offer? (n.d.). Quora. https://www.quora.com/What-kinds-of-explanations-do-natural-scientists-offer

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 07:14:07 UTC

Many natural science laws use mathematical language because math helps describe and understand patterns and regularities in nature. Mathematics provides a precise and concise way to express complex ideas, making it an ideal tool for scientists to formulate and test hypotheses.

Why has mathematics worked so far to describe the laws of nature ? (2007, July 19). Physics Forums: Science Discussion, Homework Help, Articles. https://www.physicsforums.com/threads/why-has-mathematics-worked-so-far-to-describe-the-laws-of-nature.177521/

Sarah Jasim

sarahjasim027 — 2024-09-29 07:16:35 UTC

Inductive and deductive reasoning are really important in scientific inquiry, prediction, and explanation as they are the ones that lead to creating predictions and explanations in science.

DeCarlo, M. (2018, August 7). 6.3 Inductive and deductive reasoning. Pressbooks. https://pressbooks.pub/scientificinquiryinsocialwork/chapter/6-3-inductive-and-deductive-reasoning/#:~:text=The%20inductive%20approach%20begins%20with,data%20to%20test%20those%20hypotheses.

Noor Hassanin

noorhassanin148 — 2024-09-29 07:36:45 UTC

The scientific method is not a one-size-fits-all process; rather, it consists of various approaches tailored to specific disciplines and questions. For instance, while experiments in chemistry follow rigorous protocols, fields like astronomy often rely on observational data. This diversity implies that scientific inquiry can adapt to different contexts and complexities.

Balucani, N., Ceccarelli, C., Vazart, F., Dulieu, F., Skouteris, D., Rosi, M., Pirani, F., Bianchi, E., Caselli, P., & Codella, C. (2024). Can astronomical observations be used to constrain crucial chemical reactions? The methoxy case. SOLIS XVIII. Monthly Notices of the Royal Astronomical Society, 528(4), 6706–6719. https://doi.org/10.1093/mnras/stae232

Noor Hassanin

noorhassanin148 — 2024-09-29 07:37:55 UTC

Imagination and intuition are crucial for formulating hypotheses, as they allow scientists to envision possibilities beyond existing knowledge. For example, Albert Einstein's thought experiments about relativity emerged from intuitive insights rather than purely empirical data. This highlights how creativity can drive scientific progress.

Fatima, A. (2023, November 5). “Imagination is more important than knowledge”. - Amna Fatima - Medium. Medium. https://amnafatimajanjuaa.medium.com/imagination-is-more-important-than-knowledge-898cdcb8a12c

Noor Hassanin

noorhassanin148 — 2024-09-29 07:42:25 UTC

Natural scientists provide explanations that can be descriptive, predictive, or prescriptive, depending on the question at hand. For instance, Newton's laws not only describe motion but also allow for predictions about future actions of objects in motion. This multifaceted approach enhances our understanding of the natural world.

Essam, N., & Essam, N. (2024, April 3). Applications of Newton’s Laws of Motion in Daily Life. PraxiLabs. https://praxilabs.com/en/blog/2021/02/24/applications-of-newtons-laws-of-motion-in-daily-life/

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 16:23:17 UTC

Inductive reasoning makes generalizations from specific observations. It's used to formulate hypotheses, identify relationships, and make predictions. Deductive reasoning uses a general principle to arrive at a specific conclusion. It's used to test hypotheses, explain phenomena, and evaluate evidence. Scientists use both inductive and deductive reasoning, inductive reasoning to formulate hypotheses, which are then tested using deductive reasoning.

Raimo Streefkerk. (2023, June 22). Inductive vs. Deductive Research Approach | Steps & Examples. Scribbr. https://www.scribbr.com/methodology/inductive-deductive-reasoning/

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 16:34:26 UTC

Scientific language can be seen as having multiple functions. It's true that the scientific language mainly aims to explain phenomena, express relationships, and communicate findings, it can also have a descriptive function, as it describes the natural world and the results of experiments.

Pelz, P. B. (n.d.). Chapter 1 Science and Scientific Research | Research Methods for the Social Sciences. https://courses.lumenlearning.com/suny-hccc-research-methods/chapter/chapter-1-science-and-scientific-research/

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 16:59:59 UTC

Yes, natural sciences rely on assumptions. Three key assumptions are: natural causes (natural explanations for events), evidence from the natural world (learning through experiments and observations), and consistency in causes (same causes operate in related situations, making them predictable and applicable).

Understanding Science. (2022a, August 26). Basic assumptions of science - Understanding Science. Understanding Science - How Science REALLY Works. . . https://undsci.berkeley.edu/basic-assumptions-of-science/

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 17:06:07 UTC

We first have to understand the objective of the problem and what we are specifically trying to solve. Then we can rely on already existing knowledge in a specific context. We can also develop theories that can help guide us in the selection of which factors are relevant and what to measure. In addition, when working together with others in the process of solving a problem, we can easily get feedback that can further help us know what to measure.

Leach, H. (2022, October 18). How do you pick the right problem-solving approach when there are so many to choose from? https://www.linkedin.com/pulse/how-do-you-pick-right-problem-solving-approach-when-so-harvey-leach/

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 17:15:13 UTC

To know which model is appropriate we first have to consider the type of problem, the characteristics of your data, and what you want to achieve. We first have to predict a value, classify a category, or group similar things. The we have to understand the characteristics of the data (the amount and type of data). Additionally, we need to think about the goals, whether it's achieving accuracy, understanding relationships, or efficiency.

Scientific models. (2020, April 24). Victoria State Government. https://www.education.vic.gov.au/school/teachers/teachingresources/discipline/science/continuum/Pages/scimodels.aspx

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 17:19:41 UTC

When building a model, we need to make assumptions about how things work and how they are related. To decide what assumptions to make, we need to think about what we already know about the problem. We look at the data to see if we can find any patterns or connections. Then we can figure out what we want the model to do and how simple or complex it needs to be. Then we can try to simplify the problem by focusing on the most important things. Then read what other people have written about similar problems to see what we can learn from them.

Tredennick, A. T., Hooker, G., Ellner, S. P., & Adler, P. B. (2021). A practical guide to selecting models for exploration, inference, and prediction in ecology. Ecology, 102(6). https://doi.org/10.1002/ecy.3336

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 17:25:58 UTC

To decide which one is the best, we have to compare them with each other. We can look at how well each model works, how easy it is to understand, and how fast it can process data. We should also think about what kind of data each model needs and what it assumes about the problem. By considering these things, we can see the strengths and weaknesses of each model and choose the best one for our problem.

Grant, P. (2021, December 10). How to choose between multiple models - towards data science. Medium. https://towardsdatascience.com/how-to-choose-between-multiple-models-a0c274b4228a

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 17:32:38 UTC

To manipulate a model to get an answer, we need to understand the model's structure and components, and identify the key variables that affect its output. By analyzing these components and using techniques such as sensitivity analysis, we can simulate different scenarios and observe how the model responds. This allows us to gain insights into the system's behavior and make predictions about its future performance.

Audrey Eads. (2024, August 16). Data Manipulation: Definition, importance and tips. Indeed. https://www.indeed.com/career-advice/career-development/data-manipulation

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 17:36:44 UTC

When interpreting a model answer, it's crucial to consider the context and the question being asked. This involves understanding the units of the answer, thinking about its scale, and relating it to the real-world problem or question being asked. Additionally, it's essential to be aware of the limitations of the model and the data used, recognizing any assumptions or biases that may affect the accuracy of the answer. This can be interpreted using a regression model.

Beers, B. (2024, August 1). Regression: definition, analysis, calculation, and example. Investopedia. https://www.investopedia.com/terms/r/regression.asp

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 17:44:57 UTC

Even if science should value-free, it will never be value free. As a human pursuit, science is inherently shaped by values, which play a crucial role in shaping scientific inquiry. Values such as inter subjectivity and rationality are essential to the scientific method. These values help scientists work together, rely on evidence, and question their own assumptions, recognizing that they can make errors and that their theories might not be perfect.

Is science value-free? (n.d.). Philosophy Stack Exchange. https://philosophy.stackexchange.com/questions/112911/is-science-value-free

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 17:47:16 UTC

I believe that research should be subject to ethical constraints. The pursuit of knowledge is important, but it should not come at the expense of human well-being, dignity, or the environment. Ethical guidelines can help ensure that research is conducted in a responsible, ethical, and respectful manner, promoting trust and accountability in the scientific community.

Should scientific research be subject to ethical constraints, or is the pursuit of all scientific knowledge intrinsically worthwhile? (n.d.). Quora. Retrieved September 29, 2024, from https://www.quora.com/Should-scientific-research-be-subject-to-ethical-constraints-or-is-the-pursuit-of-all-scientific-knowledge-intrinsically-worthwhile

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 17:51:27 UTC

While scientific facts are considered objective and moral values are seen as subjective. Scientific facts may not be as objective as they seem due to cultural and historical context, personal biases, and methodological limitations. For example, the idea of different human races is not just a biological fact, but also influenced by society and history. Moral values may not be as subjective as they seem as they can be based on universal principles and informed by scientific facts and empirical evidence. For example, protecting human life is a moral value that is widely accepted and based on principles that are considered universal and important.

Scientific objectivity (Stanford Encyclopedia of Philosophy). (2020, October 30). https://plato.stanford.edu/entries/scientific-objectivity/

Noor Alnaggar

2024-09-29 17:58:12 UTC

Moral disagreements can be helped by looking at facts and evidence, especially about the outcomes of actions. However, because people have different values and beliefs, facts alone may not settle all disagreements.

source:https://plato.stanford.edu/entries/disagreement-moral/

Noor Alnaggar

2024-09-29 18:00:09 UTC

Developments in science have challenged long-held ethical values in several ways. For example, advancements in genetics raise questions about cloning and genetic modification, which can conflict with beliefs about the sanctity of life. Additionally, discoveries in psychology and neuroscience challenge ideas about free will and moral responsibility, making us rethink accountability for actions.

source: https://www.thenewatlantis.com/publications/the-moral-challenge-of-modern-science

Noor Alnaggar

2024-09-29 18:01:43 UTC

There isn't just one "scientific method," but rather a collection of approaches that scientists use to investigate questions. While most involve making observations, forming hypotheses, conducting experiments, and analyzing data, the specific steps can vary depending on the field of study and the nature of the research.

source:https://www.techtarget.com/whatis/definition/scientific-method

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 18:02:05 UTC

Developments in science have challenged long-held ethical values in three main ways. They have challenged traditional beliefs, such as the theory of evolution vs. creationism, and the discovery of DNA structure vs. the concept of a "soul". They have also raised new ethical concerns, such as genetic engineering, stem cell research, and artificial intelligence. Furthermore, science has led to a greater understanding of the importance of ethics in research, the development of bioethics, and the concept of "responsible innovation".

Maurizio Iaccarino. (2001, September 15). Science and Ethics. National Library of Medicine. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1084045/

Noor Alnaggar

2024-09-29 18:03:26 UTC

Imagination and intuition play crucial roles in forming hypotheses in the natural sciences. They help scientists envision possibilities, connect seemingly unrelated ideas, and generate innovative questions to explore. This creative thinking can lead to new theories and approaches that drive scientific discovery.

source: https://link.springer.com/article/10.1007/s13194-020-00291-z

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 18:05:47 UTC

Moral disagreements can't be solved just by looking at facts, because they involve different values and beliefs. But facts can still help us make better moral decisions by

showing us what happens when we make certain choices, helping us understand people and how they behave, pointing out biases and wrong assumptions, and helping us have more informed discussions.

The philosophy lab. (2020, May 8). Ethical Disagreement — Can Science Ever Resolve a Moral Disagreement? Meduim. https://medium.com/@thephilosophylab/ethical-disagreement-can-science-ever-resolve-a-moral-disagreement-c4cf66c7edb2

Noor Alnaggar

2024-09-29 18:07:05 UTC

Yes, we often think of scientific facts as completely objective and moral values as entirely subjective. In reality, science can be influenced by context, and while morals are shaped by culture, they can also be guided by reason and common human experiences.

source: https://iep.utm.edu/moral-re/

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 18:11:55 UTC

While human rights and the law of gravity have similarities, they differ. Human rights do not exist in the same way that laws of gravity exist. Laws of gravity cannot be broken, while human rights can be “broken” by violating human rights laws. The law of gravity is consistent and predictable, but human rights are inconsistent and dependent on societal norms, interpretation, and implementation.

Mensenrechten overal anders geïnterpreteerd. Hoe kan dat? (2024, January 8). Leiden University. https://www.universiteitleiden.nl/en/news/2024/01/each-country-interprets-human-rights-differently.-but-why

Sarah Jasim

sarahjasim027 — 2024-09-29 18:12:51 UTC

Societies in which scientists operate exert a greater influence on what is ethically acceptable in science. The ethics of science is usually associated with the reconstruction of rules of action that are shaped by societal values and norms. As a result, what is considered ethically acceptable in science can vary across different societies and cultures.

Unknown. (n.d.). Ethics of science. ScienceDirect Topics. https://www.sciencedirect.com/topics/social-sciences/ethics-of-science

Maria Al Zoubi

mariaalzoubi146 — 2024-09-29 18:18:17 UTC

Societies have a greater influence on what is ethically acceptable in science. This is because science is a method, not a moral guide, and ethical considerations come from outside the scientific process. Societal values and norms shape what is considered right or wrong, and scientists are influenced by these values and norms.

Understanding Science. (2022d, September 10). Science has limits: A few things that science does not do - Understanding Science. Understanding Science - How Science REALLY Works. . . https://undsci.berkeley.edu/understanding-science-101/what-is-science/science-has-limits-a-few-things-that-science-does-not-do/

Sarah Jasim

sarahjasim027 — 2024-09-29 18:19:02 UTC

Human rights do not exist in the same way that the laws of gravity exist. The laws of gravity are considered objective and universal, while human rights are considered social constructs that are based on human values and moral principles.

B, D. (2014, July 22). Do human rights exist in the same way that the laws of gravity exist? Philosophy Stack Exchange. https://philosophy.stackexchange.com/questions/14768/do-human-rights-exist

Jyla Gamul

jylagamul213 — 2024-09-30 09:06:20 UTC

There are many methods and approaches that vary based on the research question. For example, in chemistry, the scientific method often involves forming a hypothesis, conducting experiments to test that hypothesis, and analyzing the results to conclude, such as in the development of new drugs through systematic experimentation.

Wright, G. (2023, February). What is the scientific method and how does it work? WhatIs.com. https://www.techtarget.com/whatis/definition/scientific-method

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Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:06:38 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:06:47 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:06:53 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:07:00 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:07:09 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:07:17 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:07:30 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:07:42 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:07:51 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:01 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:05 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:11 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:16 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:20 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:25 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:32 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:44 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:50 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:08:57 UTC

Yousuf Alqasim

yousufalqasim153 — 2024-09-30 09:09:03 UTC

Jyla Gamul

jylagamul213 — 2024-09-30 12:40:40 UTC

Imagination and intuition are important in making hypotheses in the natural sciences because they allow scientists to generate possibilities and ideas based on existing knowledge. For example, August Kekulé dreams of a snake biting its tail and connecting it to the ring structure of the benzene molecule.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368320/

Jyla Gamul

jylagamul213 — 2024-09-30 12:42:08 UTC

Natural scientists offer causal explanations that describe how and why natural phenomena occur based on empirical evidence and scientific principles. For example, the theory of evolution by natural selection explains the diversity of species by detailing the mechanisms of adaptation and survival over generations.

https://evolution-outreach.biomedcentral.com/articles/10.1007/s12052-009-0128-1

Jyla Gamul

jylagamul213 — 2024-09-30 12:46:42 UTC

Many laws in the natural sciences are stated using the language of mathematics because it is a precise, universal, and logical framework to describe complex ideas. For example, Newton’s law of gravitation is mathematically expressed as F=G m1 m2/d2, providing a clear, testable formula for gravitational force.

https://darkcosmos.com/home/f/why-mathematics-explain-the-laws-of-nature

Noor Hassanin

noorhassanin148 — 2024-09-30 13:13:11 UTC

Many laws in natural sciences are expressed mathematically because mathematics provides a universal, concise language that can accurately describe relationships and patterns. The equation for universal gravitation (F=G(m1m2/r²)) exemplifies how mathematical expressions enable precise predictions of gravitational interactions. This emphasis on math facilitates clearer communication of complex ideas.

Dorato, M. (2005). Why are (Most) Laws of Nature mathematical? In Springer eBooks (pp. 55–75). https://doi.org/10.1007/1-4020-3258-7_2

Noor Hassanin

noorhassanin148 — 2024-09-30 13:14:02 UTC

Inductive reasoning allows scientists to derive general principles from specific observations, while deductive reasoning helps apply these principles to predict outcomes in new contexts. For example, observing that all metals expand when heated (induction) enables predictions for any metal under similar conditions (deduction), illustrating how these reasoning types are integral to scientific advancement.

Bradford, A., Weisberger, M., & Lanese, N. (2024, March 6). What’s the difference between deductive reasoning and inductive reasoning? livescience.com. https://www.livescience.com/21569-deduction-vs-induction.html

Noor Hassanin

noorhassanin148 — 2024-09-30 13:15:52 UTC

Scientific language primarily serves an explanatory function, as it seeks to clarify and interpret observations. However, it also encompasses descriptive elements to present data accurately and interpretative aspects to provide context and implications. The balance among these functions enhances scientific communication.

Rahimi, S., & Khatooni, M. (2024). Saturation in qualitative research: An evolutionary concept analysis. International Journal of Nursing Studies Advances, 6, 100174. https://doi.org/10.1016/j.ijnsa.2024.100174

Noor Hassanin

noorhassanin148 — 2024-09-30 13:17:30 UTC

Natural sciences often rely on foundational assumptions—like the uniformity of nature—that cannot be empirically proven but are essential for conducting scientific inquiry. The assumption that natural laws remain consistent allows scientists to apply findings universally, though its unprovable nature introduces a level of philosophical debate into science.

Understanding Science. (2022, August 26). Basic assumptions of science - Understanding Science. Understanding Science - How Science REALLY Works. . . https://undsci.berkeley.edu/basic-assumptions-of-science/

Noor Hassanin

noorhassanin148 — 2024-09-30 13:18:33 UTC

Before knowing the solution to a problem, scientists identify relevant factors by reviewing existing literature and theories. For example, studying the effect of a new drug involves examining variables like dosage, patient demographics, and health conditions. This iterative process ensures that critical elements are considered before drawing conclusions.

Salahshoori, I., Golriz, M., Nobre, M. A., Mahdavi, S., Malekshah, R. E., Javdani-Mallak, A., Jorabchi, M. N., Khonakdar, H. A., Wang, Q., Mohammadi, A. H., Mirnezami, S. M. S., & Kargaran, F. (2023). Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges. Journal of Molecular Liquids, 395, 123888. https://doi.org/10.1016/j.molliq.2023.123888

Noor Hassanin

noorhassanin148 — 2024-09-30 13:19:26 UTC

Determining which model is appropriate often relies on both empirical validation and theoretical coherence. For instance, climate models are chosen based on historical climate data and their ability to simulate observed phenomena accurately. This process balances predictive accuracy with theoretical soundness.

McSweeney, R. (2022, July 20). Q&A: How do climate models work? Carbon Brief. https://www.carbonbrief.org/qa-how-do-climate-models-work/

Noor Hassanin

noorhassanin148 — 2024-09-30 13:20:21 UTC

Scientists make assumptions in model construction by relying on established theories and empirical evidence. The assumption that ecosystems function through energy transfer informs ecological models. Understanding these foundational beliefs is crucial for the model's reliability.

Herman, B. D., McKay, S. K., Altman, S., Richards, N. S., Reif, M., Piercy, C. D., & Swannack, T. M. (2019). Unpacking the black box: demystifying ecological models through interactive workshops and Hands-On learning. Frontiers in Environmental Science, 7. https://doi.org/10.3389/fenvs.2019.00122

Noor Hassanin

noorhassanin148 — 2024-09-30 13:22:08 UTC

When faced with different models yielding varying solutions, scientists assess their predictive accuracy and applicability to real-world scenarios. For example, competing theories of gravity are evaluated based on their capacity to predict planetary movements accurately. This assessment helps identify the most scientifically robust model.

Thomas Kuhn (Stanford Encyclopedia of Philosophy). (2018, October 31). https://plato.stanford.edu/entries/thomas-kuhn/

Noor Hassanin

noorhassanin148 — 2024-09-30 13:22:57 UTC

Scientists manipulate models to obtain answers based on the specific variables of interest, often guided by previous research and empirical data. In epidemiology, changing a variable in a disease spread model can illustrate potential outcomes of interventions, providing a clearer understanding of relationships.

Gilbert, J. A., Meyers, L. A., Galvani, A. P., & Townsend, J. P. (2014). Probabilistic uncertainty analysis of epidemiological modeling to guide public health intervention policy. Epidemics, 6, 37–45. https://doi.org/10.1016/j.epidem.2013.11.002

Noor Hassanin

noorhassanin148 — 2024-09-30 13:24:12 UTC

Interpreting model outcomes demands careful correlation with real-world contexts, often requiring qualitative and quantitative analysis. For example, a climate model predicting a rise in temperature must be contextualized with socio-economic implications. This ensures that the model's findings are actionable.

Elo, S., Kääriäinen, M., Kanste, O., Pölkki, T., Utriainen, K., & Kyngäs, H. (2014). Qualitative content analysis. SAGE Open, 4(1), 215824401452263. https://doi.org/10.1177/2158244014522633

Noor Hassanin

noorhassanin148 — 2024-09-30 13:26:13 UTC

The question of whether science is value-free is contentious, as scientific inquiry can be influenced by societal values and ethical considerations. The development of CRISPR technology sparks debates about genetic manipulation, illustrating how scientific advancements intersect with ethical dilemmas.

Clare, T., & Clare, T. (2023, July 31). Gene-editing: The ethical questions | Food Ethics Council. Food Ethics Council | Fair and Resilient Food Systems. https://www.foodethicscouncil.org/opinion/gene-editing-the-ethical-questions/

Noor Hassanin

noorhassanin148 — 2024-09-30 13:31:10 UTC

Research should be subject to ethical constraints, as some scientific pursuits can have significant societal implications, like genetic editing. The boundary between ethical research and the intrinsic value of knowledge is often debated, emphasizing the need for guidelines.

Isa, N. M., & Shuri, M. F. H. S. (2017). Ethical concerns about human genetic enhancement in the Malay science fiction novels. Science and Engineering Ethics, 24(1), 109–127. https://doi.org/10.1007/s11948-017-9887-1

Noor Hassanin

noorhassanin148 — 2024-09-30 13:32:47 UTC

There is a tendency to exaggerate the objectivity of scientific facts while viewing moral values as subjective; however, both realms can influence human understanding. The impact of climate science on public policy actions emphasizes the relationship between empirical findings and ethical behaviors.

Wang, J., & Kim, S. (2018). Analysis of the impact of values and perception on climate change skepticism and its implication for public policy. Climate, 6(4), 99. https://doi.org/10.3390/cli6040099

Noor Hassanin

noorhassanin148 — 2024-09-30 13:35:50 UTC

Scientific developments challenge long-held ethical values by confronting established norms, such as debates over human cloning or genetic modification. These challenges encourage society to reassess moral frameworks in light of scientific advances.

Langlois, A. (2017). The global governance of human cloning: the case of UNESCO. Palgrave Communications, 3(1). https://doi.org/10.1057/palcomms.2017.19

Noor Hassanin

noorhassanin148 — 2024-09-30 13:36:56 UTC

While empirical evidence can inform moral disagreements, it may not provide definitive resolutions due to underlying philosophical differences. For example, debates over climate change often pit empirical data against diverse ethical standpoints regarding environmental responsibility.

Chan, J. K. H. (2023). The ethics of wicked problems: an exegesis. Socio-Ecological Practice Research, 5(1), 35–47. https://doi.org/10.1007/s42532-022-00137-3

Noor Hassanin

noorhassanin148 — 2024-09-30 13:38:10 UTC

Human rights do not exist in the same tangible, universally observable manner as the laws of gravity; rather, they are social constructs founded on ethical beliefs. This distinction highlights the complexity of moral discussions in relation to scientific truths.

Human Rights (Stanford Encyclopedia of Philosophy). (2024, May 31). https://plato.stanford.edu/entries/rights-human/

Noor Hassanin

noorhassanin148 — 2024-09-30 13:40:29 UTC

Societal values and norms significantly influence what is considered ethically acceptable in natural science, often shaping research priorities and methodologies. The increasing push for sustainability in scientific research reflects changing societal values aimed at addressing environmental challenges.

Filho, W. L., Levesque, V., Sivapalan, S., Salvia, A. L., Fritzen, B., Deckert, R., Kozlova, V., LeVasseur, T. J., Emblen-Perry, K., Azeiteiro, U. M., Paço, A., Borsari, B., & Shiel, C. (2022). Social values and sustainable development: community experiences. Environmental Sciences Europe, 34(1). https://doi.org/10.1186/s12302-022-00641-z

Jyla Gamul

jylagamul213 — 2024-09-30 13:52:57 UTC

In scientific inquiry, inductive reasoning helps scientists generate hypotheses by observing patterns and creating general conclusions, while deductive reasoning tests these hypotheses by applying general principles to specific cases. For example, Charles Darwin used inductive reasoning to formulate the theory of evolution based on observations of species, and deductive reasoning is applied when testing this theory through specific experiments and predictions.

https://www.pnas.org/doi/full/10.1073/pnas.0901404106

Jyla Gamul

jylagamul213 — 2024-09-30 13:56:16 UTC

Scientific language in the natural sciences has a descriptive and explanatory function, as it is based on empirical evidence aiming to be objective and provide clear explanations. For example, the laws of thermodynamics describe the behavior of energy in systems and explain how heat and work interact in physical processes.

Second Law of Thermodynamics - Britannica.

Jyla Gamul

jylagamul213 — 2024-09-30 14:00:27 UTC

Yes, natural sciences rely on unprovable assumptions. For example, in pseudo-science like astrology, hypotheses were assumed to be correct from the beginning, although they have never been supported by rigorous evidence.
Uniformity of Nature - Stanford Encyclopedia of Philosophy.

Jyla Gamul

jylagamul213 — 2024-09-30 14:03:11 UTC

Natural sciences often rely on prior knowledge, theories, or models as a foundation in selecting relevant factors to measure before finding a solution. For example, when studying climate change, scientists know to measure carbon dioxide levels, temperature, and ocean acidity based on existing theories of greenhouse gases and their impact on global warming.
Climate Models - NASA.

Jyla Gamul

jylagamul213 — 2024-09-30 14:06:47 UTC

It is based on its ability to accurately predict and explain observed phenomena, and its consistency with empirical data. For example, the heliocentric model was accepted over the geocentric model because it more accurately predicted planetary motion and aligned with astronomical observations.(https://solarsystem.nasa.gov/planets/venus/in-depth/#otp_phases).

Jyla Gamul

jylagamul213 — 2024-09-30 14:09:34 UTC

Assumptions are made based on prior and established knowledge that are reasonable and consistent. For example, in constructing models of projectile motion, we assume air resistance is negligible when dealing with basic cases to simplify calculations.
Projectile Motion - Khan Academy.

Jyla Gamul

jylagamul213 — 2024-09-30 14:12:10 UTC

We compare their predictive accuracy against empirical data, simplicity, and evidence. For example, during the COVID-19 pandemic, many epidemiological models were used to predict infection rates, and the most accurate ones were validated against real-world case data.
COVID-19 Modeling - CDC.

Jyla Gamul

jylagamul213 — 2024-09-30 14:14:55 UTC

We should understand the relationships between variables and apply mathematical techniques or computational methods to simulate different scenarios. For example, in climate modeling, scientists adjust parameters such as greenhouse gas concentrations or solar radiation to predict future climate conditions.

https://www.sciencedirect.com/topics/earth-and-planetary-sciences/climate-modeling

Jyla Gamul

jylagamul213 — 2024-09-30 14:20:21 UTC

We should assess the implications of numerical results and their uncertainties. For example, a climate model may predict a temperature increase of 2°C by 2050, which researchers then interpret to assess potential impacts on ecosystems, weather patterns, and human activities.

https://www.sciencedirect.com/science/article/pii/S1674987123002414

Jyla Gamul

jylagamul213 — 2024-09-30 14:23:07 UTC

Science is value-free in its methodologies and findings based on objective and empirical evidence; but, values can influence research topics, interpretation of results, and ethical considerations. For example, research into renewable energy technologies may be driven by societal values prioritizing environmental sustainability, even as the scientific investigation itself aims to remain unbiased.

https://works.swarthmore.edu/cgi/viewcontent.cgi?article=1085&context=fac-philosophy

Jyla Gamul

jylagamul213 — 2024-09-30 14:24:50 UTC

Research should be subject to ethical constraints to ensure the well-being of living and non-living. It must be balanced with moral responsibility. For example, the Tuskegee Syphilis Study is a historical case that highlighted the need for ethical standards in research, as it involved unethical treatment of African American participants without informed consent.
Tuskegee Study - CDC.

Jyla Gamul

jylagamul213 — 2024-09-30 14:27:17 UTC

Yes, we tend to exaggerate the objectivity of scientific facts while viewing moral values as entirely subjective. However, scientific interpretations can be influenced by societal contexts and biases, just as moral values can be informed by empirical evidence and rational discourse. For example, debates surrounding climate change highlight how scientific data can be interpreted differently based on political or economic values.
Climate Change Consensus - NASA.

Jyla Gamul

jylagamul213 — 2024-09-30 14:30:05 UTC

Developments in science have challenged long-held ethical values. For example, the ability to edit genes using CRISPR technology has sparked debates over the ethical implications of modifying human embryos, which challenges traditional views on the sanctity of human life.

https://www.nih.gov/news-events/news-releases/nih-researchers-debate-ethics-crispr-gene-editing

Jyla Gamul

jylagamul213 — 2024-09-30 14:32:38 UTC

Moral disagreements can be informed or mitigated by empirical evidence, but it may not be resolved due to underlying value differences. For example, public health campaigns on smoking have used empirical evidence linking tobacco use to health issues, which has led to shifts in societal attitudes and policy changes, yet debates over personal freedom versus health still persist.(https://www.cdc.gov/tobacco/data_statistics/fact_sheets/secondhand_smoke.html).

Jyla Gamul

jylagamul213 — 2024-09-30 14:34:19 UTC

Human rights do not exist in the same way that the laws of gravity exist. Human rights are social constructs based on moral and ethical beliefs, whereas the laws of gravity are objective physical phenomena based on natural laws. For example, the Universal Declaration of Human Rights articulates moral principles that countries are encouraged to uphold, but these rights can vary significantly in implementation and recognition across different cultures and legal systems.(https://www.un.org/en/about-us/universal-declaration-of-human-rights).

Jyla Gamul

jylagamul213 — 2024-09-30 14:36:07 UTC

Societies exert a greater influence on what is ethically acceptable in natural sciences, as it is shaped by cultural values, public opinion, and legal frameworks. For example, the public backlash against genetically modified organisms (GMOs) has led to stringent regulations and ethical considerations in agricultural biotechnology, reflecting societal concerns rather than purely scientific perspectives. (https://www.usda.gov/topics/farming/gmos-faqs).

Daniel Alhayki

danielalhayki009 — 2024-10-02 17:55:10 UTC

There is no one scientific method. While students at school might be taught a straightforward and generalized approach to scientific experimentation, in reality it is much more complex than that, involving many distinct sub-methods.

Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1635141/#:~:text=There%20is%20no%20such%20unique,order%20to%20test%20those%20theories.

Daniel Alhayki

danielalhayki009 — 2024-10-02 17:57:24 UTC

Imagination allows scientists and researchers to create hypothetical scenarios in which they can assume and try to predict the outcome of things based on their prior knowledge. An example of this could be a scientist trying to imagine how different shapes of paper airplane would fly according to their past knowledge of aerodynamics.

Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368320/#:~:text=The%20cycle%20of%20imagination%20and,as%20a%20hypothesis%2Dbased%20research.

Daniel Alhayki

danielalhayki009 — 2024-10-02 17:59:27 UTC

Through rigorous and thorough testing and analysis the natural sciences aim to offer concrete and evidence-backed explanations to phenomena in the real world. An example of this could be explaining how electrons in an electrical circuit flow based on numerous tests and experiments on circuits themselves.

Source: https://www.sciencedirect.com/topics/earth-and-planetary-sciences/natural-science

Daniel Alhayki

danielalhayki009 — 2024-10-02 18:01:57 UTC

Many of the laws in the natural sciences are stated using the language of mathematics, as mathematics is a much more universal way of spreading information, especially when it comes to describing relationships between variables and how different factors affect one another. An example of this could be the SUVAT equations in kinematics, describing projectile motion of objects in physics.

Source: https://www.ncl.ac.uk/webtemplate/ask-assets/external/maths-resources/mechanics/kinematics/equations-of-motion.html#:~:text=The%20equations%20of%20motion%2C%20also,%2D%20acceleration%20and%20t%20%2D%20time.

Daniel Alhayki

danielalhayki009 — 2024-10-02 18:10:16 UTC

Inductive and deductive reasoning are two crucial ways in which scientists are able to derive and explain natural phenomena based on prior knowledge and experiences. An example of this could be using several observations about sea animals to make a more generalized statement that can explain sea animals in more depth.

Source: https://www.voxco.com/blog/inductive-vs-deductive-reasoning-definition-examples/

Daniel Alhayki

danielalhayki009 — 2024-10-02 18:12:33 UTC

Scientific language has a more explanatory function, as it should. This essentially means that scientific language is crafted and employed in an aim to best explain and educate others about findings, so that more and more people can benefit off of scientific discoveries. An example of this could be the widespread usage of chemistry language and usage across the world, allowing many to understand and learn from others' findings.

Source: https://www.biomerieux.com/corp/en/sitemap/glossary-of-scientific-terms.html

Daniel Alhayki

danielalhayki009 — 2024-10-02 18:14:19 UTC

Science often relies on the main assumption that any phenomenon has a natural explanation and logical reasoning behind it. For example when a ball is thrown up and comes back down to Earth, there is a scientific assumption that something is causing it to come back down, which we define today as the gravitational force of the Earth. This assumption in and of itself is not directly explainable, but its just a heuristic that the scientific community accepts to be true, in order for the pursuit of knowledge to be continued.

Source: https://undsci.berkeley.edu/basic-assumptions-of-science/

Daniel Alhayki

danielalhayki009 — 2024-10-02 18:18:06 UTC

We can know what to measure by first understanding the root of the problem or phenomenon we are trying to explain. Once there, we can attempt to link any relevant prior knowledge to analyze if it would be useful in a certain scenario. If so, then it would be useful to measure that factor when it comes to solving the problem. An example of this could be trying to think of what factors could affect how quickly a liquid boils.

Source: https://www.sciencebuddies.org/science-fair-projects/science-fair/steps-of-the-scientific-method

Daniel Alhayki

danielalhayki009 — 2024-10-02 18:20:24 UTC

In order to figure out which model is appropriate to explain a certain natural phenomenon, it is crucial to determine what the model will be used for. If the model is being used to educate, a more simplistic approach might be more applicable, while if the model is being used in extensive and thorough scientific research, a more detailed and complex model might be more appropriate. An example of this could be the model of the atom being much different depending on the context from which you view it from.

Source: https://www.researchgate.net/figure/Comparison-of-the-levels-of-description-of-the-atom-at-different-grades_fig3_254339820

Daniel Alhayki

danielalhayki009 — 2024-10-02 18:23:40 UTC

The assumptions to make when constructing a model likely has to do with how certain we are about different aspects of the thing we are modelling. If we are completely sure that, for example, an atom has protons and neutrons in its nucleus, we can formulate a model of the atom that way. But we also know they have electrons too, but the location of those electrons is a lot more vague and often depends on several complex factors, so it is very difficult to accurately portray this in a model, thus leading to a more simplified version of it.

Source: https://www.khanacademy.org/science/chemistry/atomic-structure-and-properties/orbitals-and-electrons/a/the-quantum-mechanical-model-of-the-atom

Daniel Alhayki

danielalhayki009 — 2024-10-02 18:26:12 UTC

Deciding which model is best depends on the context in which it is to be employed. If the model of the solar system is to be taught in schools to elementary schoolers, it will be best to use and explain a more basic model that can define and explain the bare fundamentals. While if the model of the solar system is being used by professional science researchers to analyze the orbits of different planets, a more complex and comprehensive model would be much more appropriate.

Source: https://en.wikipedia.org/wiki/Historical_models_of_the_Solar_System

Daniel Alhayki

danielalhayki009 — 2024-10-02 19:13:44 UTC

Manipulating models to get answers can be best done by analyzing all the different factors that go into the model and determining what changing different aspects might do. Depending on the intended outcome, varying or manipulating the right variables can help explain a natural phenomenon in a way that wasn't previously possible.

Source: https://link.springer.com/article/10.1007/s11191-015-9802-6

Daniel Alhayki

danielalhayki009 — 2024-10-02 19:47:22 UTC

To interpret a model answer back in the real world, we must reflect on what it actually signifies and explains. If the model answer is a number or an explanation, it must have a relevant context to give it meaning and give it an applicable purpose. An example of this could be the figure for the amount of particles in one mole of a substance, defined as Avogadro's number.

Source: https://www.britannica.com/science/Avogadros-number

razan

razanelsayed238 — 2024-10-03 08:51:38 UTC

There is no single, universal "scientific method" that applies across all fields. The scientific process is more nuanced and adaptive to the specific context and goals of each discipline

http://www.tok2022.net/natural-sciences.html

razan

razanelsayed238 — 2024-10-03 08:54:34 UTC

The role of imagination and intuition in hypotheses in the natural sciences is crucial. Imagination allows for the generation of novel, yet plausible hypotheses that are informed by evidence and explanatory desiderata, while intuition can provide immediate understanding that guides hypothesis formation

https://junkyardofthemind.com/blog/2020/4/13/imagination-and-hypothesis-generation

razan

razanelsayed238 — 2024-10-03 08:57:27 UTC

The scientific method and empirical data are the main sources of explanations provided by natural scientists. They seek to understand the natural world through systematic observation, experimentation, and the development of theories that can be tested and refined over time.

http://www.tok2022.net/natural-sciences.html

razan

razanelsayed238 — 2024-10-03 08:58:47 UTC

The natural sciences often express their fundamental laws and principles using the language of mathematics because it provides a precise, quantitative way to describe natural phenomena and their relationships. This mathematical formalism allows natural scientists to make accurate predictions, uncover universal patterns, and integrate diverse observations into coherent theoretical frameworks. The concision and logical structure of mathematics also facilitates clear communication and the discovery of deep connections across scientific disciplines.

https://www.newscientist.com/article/mg13318134-400-is-nature-mathematical/

Daniel Alhayki

danielalhayki009 — 2024-10-03 11:09:28 UTC

Science, while it can never be completely value-free, the natural sciences should certainly strive to be value-free. The natural sciences are an inherently objective field of knowledge, exploring the natural phenomena that make up the world around us, and thus must not be influenced by scientists' values. Human nature, subjectivity and beliefs are the main things preventing us from attaining this true objectivity, but through peer review, scientists try to combat this, aiming to eliminate each others' biases.

Source: https://blogs.iu.edu/sciu/2019/05/07/value-free-sci-part-1/#:~:text=Many%20people%20agree%20with%20this,require%20complete%20detachment%20from%20bias.

Daniel Alhayki

danielalhayki009 — 2024-10-03 11:14:14 UTC

The pursuit of knowledge being subject to ethical constraints depends on the context and purpose for such pursuit. If the knowledge being pursued has or will have no direct application or use in the near future, and is just done experimentally at the risk of others around them, then it can be argued that the pursuit of this knowledge should be restricted. However, if the knowledge being pursued has a high significance and can impact the world greatly, such as the pursuit of the COVID-19 vaccine, then such ethical restraints can be lifted to allow for such research.

Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612281/

Daniel Alhayki

danielalhayki009 — 2024-10-03 11:18:14 UTC

We often do tend to exaggerate the objectivity of scientific facts and the subjectivity of moral values. This likely stems from the desire to want to classify these types of knowledge into different classes. The reality is though, objectivity and subjectivity are hard to assess, often making different types of knowledge fit better on a continuum on both of these criteria rather than being separated to one or the other.

Source: https://en.wikipedia.org/wiki/Subjectivity_and_objectivity_(philosophy)#:~:text=The%20two%20words%20are%20usually,in%2Dbetween%2C%20or%20that%20the

Daniel Alhayki

danielalhayki009 — 2024-10-03 11:28:58 UTC

Developments in science have been monumental in influencing paradigm shifts, changing peoples' views on what might have been previously frowned upon, to now being standard practice and commonplace. An example of this could link back to ancient times when some societies, such as the ancient Egyptians, believed that the body was sacred and any interference therein would be forbidden. However nowadays, surgeries are almost mandatory for those going through medical complications, to help them survive and heal.

Source: https://the-past.com/feature/ancient-egyptian-surgery/#:~:text=In%20conclusion%2C%20although%20the%20ancient,by%20the%20Greeks%20and%20Romans.

Daniel Alhayki

danielalhayki009 — 2024-10-03 11:32:16 UTC

While some moral disagreements can be settled with reference to empirical and fact-based evidence, most people tend to hold on to their beliefs much more tightly and are more reluctant to change their views on certain topics. An example of this could be people who are against all kinds of vaccines, despite there being a plethora of research and empirical evidence that suggests that it does nothing but help the body fight off illness.

Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9383768/

Daniel Alhayki

danielalhayki009 — 2024-10-03 11:39:02 UTC

While scientific laws such as the law of gravity are empirically based on evidence and experimentation, human rights are a lot more subjective and open to interpretation. This can be demonstrated in the varying levels of human freedom from countries such as the United States, where citizens have more rights and laws protecting them, to countries such as North Korea where human life is valued much less as reflected through their treatment of citizens.

Source: https://freedomhouse.org/country/north-korea/freedom-world/2024

Daniel Alhayki

danielalhayki009 — 2024-10-03 11:42:45 UTC

While scientists are the ones with the knowledge and expertise to perform and coordinate experiments and tests, it is often the societies in which scientists operate that have a much greater influence on what should and should not be carried out in these contexts. An example of this could be studies in which scientists prescribe placebo medications to unknowing patients, them expecting to heal, but the scientists only goal to observe what happens if certain illnesses progress.

Source: https://science.howstuffworks.com/innovation/scientific-experiments/10-outrageous-experiments-conducted-on-humans.htm

Noor Alnaggar

2024-10-03 17:00:50 UTC

Natural scientists offer explanations that are based on empirical evidence, observation, and experimentation. These explanations aim to identify natural laws, patterns, or mechanisms that govern physical phenomena, often presented in the form of hypotheses, theories, or models that are testable and subject to revision based on new data.

source: https://nap.nationalacademies.org/read/5787/chapter/4

Noor Alnaggar

2024-10-03 17:01:54 UTC

because it provides a precise and universal language that can describe relationships and patterns in a clear and consistent way. Mathematical equations allow scientists to quantify observations, make predictions, and test hypotheses with accuracy, removing ambiguity and increasing the generality of the findings. This precision also enables the laws to be applied across different contexts and scales.

source: https://darkcosmos.com/home/f/why-mathematics-explain-the-laws-of-nature#:~:text=Mathematics%20explains%20the%20laws%20of,is%20often%20incomplete%20and%20approximate.

Noor Alnaggar

2024-10-03 17:03:25 UTC

it involves drawing general conclusions from specific observations or experiments, helping scientists formulate hypotheses or theories based on patterns in data. Deductive reasoning, on the other hand, allows scientists to test these hypotheses or theories by making predictions that can be experimentally verified, confirming or refuting the initial ideas. Both forms of reasoning work together to build, test, and refine scientific explanations.

source: https://opentextbooks.uregina.ca/foundationsofscoialworkresearch/chapter/2-3-inductive-and-deductive-reasoning/

Haya Mahmoud

haiamahmoud063 — 2024-10-03 18:10:23 UTC

Imagination is what allows scientists to create and visualize possibilities and scenarios that would lead to a hypothesis. Intuition allows one to evaluate those ideas and process them based on knowledge and experiences and then create a conclusion. Example: Louis Pasteur's Germ Theory of Disease. He imagined microorganisms could cause diseases his intuition concluded that based on past experiences and other observations.

Sources: Ahmad, H. R., & Khan, N. A. (2017). Dialectics of Imagination and Experimentation: Basic science research in developing countries. Pakistan Journal of Medical Sciences, 33(1). https://doi.org/10.12669/pjms.331.12591

Haya Mahmoud

haiamahmoud063 — 2024-10-03 18:16:39 UTC

This is because math is considered a universal and object language that everybody agrees on, it's an axiom. It gives a clear description and understanding of what's observed in the natural world. For example, in chemistry, math is used to analyze chemical reactions and predict the properties of different substances.

Source: Mathnasium of Cambridge. (2023, March 20). The Importance of Math in Science and Technology. Mathnasium.com; Mathnasium. https://www.mathnasium.com/ca/math-centres/cambridge/news/3420230320-the-importance-of-math-in-science-and-technology

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:18:47 UTC

No, there is no single "scientific method." While there are common steps and principles involved in scientific inquiry, the specific methods and approaches can vary depending on the field of study, the nature of the research question, and the available resources. The scientific method is not a linear process and involves iterative steps, peer review, and replication. For example, The Higgs boson, a fundamental particle predicted by the Standard Model, was discovered at the LHC through extensive experiments. This groundbreaking achievement, made possible by international collaboration, provides compelling evidence for the particle's existence.

https://home.cern/science/physics/higgs-boson/how

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:20:50 UTC

Imagination and intuition are essential tools for generating hypotheses in the natural sciences. They allow scientists to explore new possibilities and envision alternative explanations. However, these qualities must be complemented by rigorous testing and empirical evidence to ensure the validity of scientific claims. for example, Albert Einstein's theory of relativity was initially met with skepticism due to its radical departure from classical physics. His imagination and intuition, coupled with his deep understanding of mathematics and physics, led him to propose a revolutionary new understanding of space and time. Despite facing initial resistance, his theory was eventually confirmed through experimental evidence, solidifying his place as one of the greatest scientists of all time.

https://www.scientificamerican.com/author/albert-einstein/

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:24:27 UTC

Natural scientists offer explanations that are based on empirical evidence, testable hypotheses, and logical reasoning. These explanations aim to provide a coherent and comprehensive understanding of the natural world. They often involve the development of models, theories, and laws that can be used to predict and explain phenomena. For example, The theory of evolution by natural selection, proposed by Charles Darwin, offers a comprehensive explanation for the diversity of life on Earth. This theory is supported by a vast amount of empirical evidence, including fossils, genetic analysis, and observations of natural selection in action. https://www.britannica.com/summary/Charles-Darwin

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:27:28 UTC

Mathematics provides a precise and concise language for expressing the relationships between different quantities and variables in the natural sciences. It allows scientists to formulate precise laws and theories that can be tested and verified through experimentation. Additionally, mathematical models can be used to make predictions and understand complex phenomena. For example, Newton's laws of motion, which describe the relationship between force, mass, and acceleration, are expressed mathematically using equations. These equations have been instrumental in understanding the behavior of objects in motion and have been applied to countless fields, from engineering to astronomy.

https://www.britannica.com/summary/Understanding-Newtons-Laws-of-Motion

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:31:58 UTC

Inductive reasoning is used to draw general conclusions from specific observations, while deductive reasoning is used to apply general principles to specific cases. In scientific inquiry, both forms of reasoning are essential. Inductive reasoning is used to develop hypotheses based on observations, while deductive reasoning is used to test these hypotheses and make predictions. For example, CAR-T cell therapy is a revolutionary treatment for certain types of leukemia and lymphoma. It involves genetically modifying a patient's own immune cells to target and destroy cancer cells. A key article highlighting the development of CAR-T cell therapy is "Chimeric Antigen Receptor T Cell Therapy for Acute Lymphoblastic Leukemia in Children and Young Adults."

https://www.cancer.gov/about-cancer/treatment/research/car-t-cells

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:35:30 UTC

Scientific language primarily serves an explanatory function. It is used to describe and explain natural phenomena, providing clear and concise explanations based on empirical evidence. While it can also be descriptive, the ultimate goal of scientific language is to interpret and understand the world around us. For example, the paper, published in the New England Journal of Medicine, describes a clinical trial evaluating the effectiveness and safety of a new drug (an anti-TNF monoclonal antibody) for treating rheumatoid arthritis. The authors use precise and technical language to explain the study design, patient characteristics, data analysis methods, and statistical results. This allows other researchers to understand and evaluate the study's findings.

https://www.nih.gov/health-information/nih-clinical-research-trials-you

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:37:21 UTC

Yes, the natural sciences rely on certain assumptions that are unprovable by science. These assumptions, often referred to as axioms or postulates, form the foundation of scientific theories and models. For example, the assumption that the laws of physics are consistent throughout the universe is unprovable but is necessary for scientific inquiry. While these assumptions cannot be directly verified, they are supported by the success of scientific theories and models in explaining and predicting natural phenomena. For example, The existence of dark matter is a fundamental assumption in astrophysics. While dark matter has not been directly observed, its presence is inferred from gravitational effects on visible matter and galaxies. This assumption is supported by numerous astronomical observations and theoretical models.

https://science.nasa.gov/mission/roman-space-telescope/dark-matter/

Haya Mahmoud

haiamahmoud063 — 2024-10-03 18:37:33 UTC

No, it can't always solve moral disagreements. This is because most of the moral disagreements arise from different ethical and moral principles and values, it's affected by culture and perspective in general. This means that empirical evidence, won't always be able to handle moral arguments with complex values. For example, for climate change, there are three different views: ecocentrism, technocentrism, and anthropocentrism, each is heavily influenced by culture and value and each sparks debates about how to handle climate change no matter the evidence.

Sources: Tersman, F. (2021). Moral Disagreement (E. N. Zalta, Ed.). Stanford Encyclopedia of Philosophy; Metaphysics Research Lab, Stanford University. https://plato.stanford.edu/entries/disagreement-moral/

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:39:26 UTC

Identifying relevant factors for measurement often involves a combination of existing knowledge, theoretical frameworks, and expert judgment. By drawing on these sources, researchers can develop hypotheses and design experiments to investigate potential factors that may influence a particular problem. This iterative process allows scientists to refine their understanding of the problem and identify the most relevant factors for measurement. For example, when scientists studying the effects of pollution on fish populations in the Chesapeake Bay identified relevant factors such as water quality, pollutant levels, and fish species. By measuring these factors in different locations, researchers investigated the relationship between pollution and fish populations and developed strategies for pollution control and conservation.

https://www.cbf.org/

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:41:02 UTC

The appropriateness of a model is often determined by its ability to accurately predict and explain observed phenomena. Models are evaluated based on their fit to data, their ability to make accurate predictions, and their consistency with existing theories. By comparing multiple models and assessing their performance, scientists can identify the most appropriate model for a particular problem. For example, The CMIP is a collaborative effort among climate modeling groups worldwide to coordinate the development, evaluation, and intercomparison of climate models. Scientists evaluate the performance of various climate models against observational data, such as temperature records, sea level rise, and precipitation patterns. By comparing the strengths and weaknesses of different models, researchers can identify the most reliable models for informing climate policy decisions.

https://www.osti.gov/servlets/purl/1408987

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:42:48 UTC

Assumptions in model construction are often based on existing knowledge, theoretical frameworks, and simplifying assumptions. These assumptions help to make models more tractable and manageable, but they can also introduce limitations and uncertainties. By carefully considering the potential implications of different assumptions, scientists can select those that are most appropriate for the problem at hand. For example, during the COVID-19 pandemic, scientists developed and used various mathematical models to predict the spread of the virus, assess the effectiveness of public health interventions, and inform policy decisions. These models often made simplifying assumptions about factors such as population density, contact rates, and the effectiveness of social distancing measures. While these assumptions helped to make the models more tractable, they also introduced limitations and uncertainties. By carefully evaluating the potential impact of different assumptions, researchers were able to select the most appropriate models for the specific context of the COVID-19 pandemic.

https://www.imperial.ac.uk/research-and-innovation/covid-19-response/

Haya Mahmoud

haiamahmoud063 — 2024-10-03 18:43:59 UTC

Developments in science would usually be caused by developments in technology and the way different people use this technology would go against ethical values. For example, the CRISPR DNA-slicing invention was developed with the goal of helping those with dangerous mutations such as sickle cells, but some parents would want to use it to change the color of their baby's eyes. This is unethical in terms of editing a child for the sake of a parent's desire.

Sources: CRISPR Ethical Concerns | Future Work Institute. (n.d.). Futureworkinstitute.com. https://futureworkinstitute.com/crispr-ethical-concerns/

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:44:11 UTC

The best model is often determined by its ability to accurately predict and explain observed phenomena. Models are evaluated based on their fit to data, their ability to make accurate predictions, and their consistency with existing theories. By comparing multiple models and assessing their performance, scientists can identify the most appropriate model for a particular problem. For example, the Taylor Rule is a widely used macroeconomic model that helps central banks determine interest rate policy. The model is based on the assumption that central banks should adjust interest rates in response to changes in inflation and economic output. By comparing the performance of the Taylor Rule against historical data on interest rates, inflation, and economic growth, economists can assess its accuracy and inform monetary policy decisions.

https://www.federalreserve.gov/

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:45:27 UTC

The manipulation of models is guided by the specific research question and the goals of the analysis. By understanding the underlying assumptions and limitations of a model, researchers can make informed decisions about how to modify the model to address their research objectives. This process often involves adjusting parameters, incorporating additional data, or exploring different scenarios to assess the sensitivity of the model's results. For example, The New York City Department of Transportation (DOT) uses traffic models to simulate the flow of traffic in the city and evaluate the effectiveness of various transportation policies, such as the expansion of bike lanes, the introduction of congestion pricing, and the redesign of intersections. By manipulating the model's parameters to represent different scenarios, the DOT can assess the potential impact of these policies on traffic congestion, travel time, and air quality.

https://www.nyc.gov/html/dot/

Jassim Seyadi

jassimseyadi139 — 2024-10-03 18:47:24 UTC

The interpretation of model outputs depends on the specific context and the research questions being addressed. It is essential to consider the limitations and uncertainties of the model, as well as the potential biases or errors that may be introduced during the modeling process. By carefully evaluating the model's outputs and considering their implications within the broader context of the problem, researchers can draw meaningful conclusions and inform decision-making. For example, In a recent study published in the journal Nature Climate Change, researchers used a global climate model to assess the potential impacts of climate change on agricultural productivity in different regions of the world. The study found that climate change is projected to have significant negative impacts on agricultural yields in many regions, particularly in developing countries. However, the researchers also noted that the model's projections are subject to uncertainties, such as those related to future greenhouse gas emissions and climate model assumptions.

https://www.nature.com/nclimate/

Haya Mahmoud

haiamahmoud063 — 2024-10-03 18:54:14 UTC

Yes, we do when it comes to knowledge. Scientific facts are empirical and they're backed up with evidence and data so they're usually seen as truth. However, moral values are seen as beliefs influenced by cultural perspectives, so they're usually seen as subjective. However, both can influence our acquisition and acceptance of knowledge. For example, vaccines are made based on scientific research and empirical evidence, so it's seen as objective. However, this data and how it's spread and interpreted is always influenced by the media representation, individual experiences, and trust in public health.

Source: Reiss, J., & Sprenger, J. (2014, August 25). Scientific Objectivity. Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/entries/scientific-objectivity

Noor A

2024-10-03 19:37:26 UTC

Scientific language primarily serves an explanatory function. It aims to describe natural phenomena accurately, but more importantly, it seeks to explain the underlying mechanisms, relationships, and causes behind those phenomena. Through this explanatory role, scientific language enables prediction, understanding, and the construction of theories that can be tested and refined over time.

Noor A

2024-10-03 19:39:26 UTC

Yes, the natural sciences do rely on certain assumptions that are unprovable by science. These include assumptions like the uniformity of nature (the idea that the laws of nature are the same everywhere and at all times), the existence of an external reality independent of our perception, and that our senses and reasoning are generally reliable. While these assumptions are foundational to scientific inquiry, they cannot be directly proven by science itself; rather, they are accepted as basic starting points for investigation.

source: https://www.servantsuniversity.com/the-assumptions-of-science/

Noor A

2024-10-03 19:41:59 UTC

Knowing what to measure before finding the solution to a problem often comes from prior knowledge, patterns in previous research, or theoretical frameworks that guide inquiry. Scientists typically start with hypotheses or models that suggest which factors are likely relevant, based on existing understanding or observations. Through experimentation and data collection, they test these factors, refine their focus, and adjust their measurements, allowing them to identify the most pertinent variables as they move toward solving the problem.

source: https://www.indeed.com/career-advice/career-development/problem-solving-strategies

yassin abdelrahman

yassinabdelrahman075 — 2024-10-03 21:20:44 UTC

There isn't a single, universally agreed-upon "scientific method" that all scientists follow exactly. The idea of a single scientific method is more of an idealization. Instead, there are multiple methodologies depending on the field of study and the nature of the research question. Scientific inquiry generally involves a systematic process, but it can vary significantly based on context. (https://plato.stanford.edu/entries/scientific-method/)

yassin abdelrahman

yassinabdelrahman075 — 2024-10-03 21:21:30 UTC

Imagination and intuition play crucial roles in the creation of hypotheses in the natural sciences by allowing scientists to generate novel ideas and conceptualize scenarios that go beyond existing empirical data. These creative processes help bridge gaps in knowledge and propose innovative explanations that can later be tested through experimentation. (https://plato.stanford.edu/entries/scientific-method/)

yassin abdelrahman

yassinabdelrahman075 — 2024-10-03 21:22:34 UTC

Natural scientists offer explanations that primarily involve identifying causal relationships, uncovering underlying mechanisms, and formulating general laws or theories that can predict natural phenomena. These explanations often aim to answer "how" or "why" questions, providing a deeper understanding of the processes governing observable events. (https://plato.stanford.edu/entries/scientific-explanation/)

yassin abdelrahman

yassinabdelrahman075 — 2024-10-03 21:23:26 UTC

Many laws in the natural sciences are stated using the language of mathematics because it provides a precise, unambiguous framework for expressing relationships between variables and making predictions. (https://plato.stanford.edu/entries/laws-of-nature/#MatForLowNat)

yassin abdelrahman

yassinabdelrahman075 — 2024-10-03 21:24:15 UTC

Inductive reasoning in scientific inquiry involves drawing general conclusions from specific observations, which helps in forming hypotheses and developing theories. Deductive reasoning, on the other hand, starts with general principles or theories and uses them to predict specific outcomes, thereby testing the validity of those theories. (https://plato.stanford.edu/entries/scientific-explanation/#IndDedExp)

yassin abdelrahman

yassinabdelrahman075 — 2024-10-03 21:28:23 UTC

Scientific language serves primarily as a descriptive and explanatory function, aiming to accurately represent observations and phenomena while providing clear explanations of the underlying mechanisms at work. While interpretation does occur, particularly in the context of analyzing data and drawing conclusions, the emphasis in scientific discourse is on clarity and precision in describing and explaining empirical findings.

(https://plato.stanford.edu/entries/scientific-language/)

Haya Mahmoud

haiamahmoud063 — 2024-10-04 09:40:08 UTC

Ethical rules follow morals and are important because they make sure the research done doesn't cause harm to others. For example, if there are no ethical constraints regarding discoveries like CRISPR-Cas9, all parents would wish to edit their children to their pleasure, which is considered wrong. This means that research should be subjected to ethical constraints because it ensures that the knowledge gained doesn't lead to abuse or violation of human rights.

Sources: A Commentary on the Importance of Ethics in Scientific Research. (n.d.). Escientificpublishers.com. https://escientificpublishers.com/importance-of-ethics-in-scientific-research-JAA-04-0037

Haya Mahmoud

haiamahmoud063 — 2024-10-04 09:50:45 UTC

Inductive reasoning makes conclusions from specific observations. While deductive reasoning uses a principle and applies it in a specific scenario. They're both important because when they're both used, it enhances understanding and drives more research. For example, when scientists study evolution in biology, they observe the adaptions in the organism (inductive) and then apply the evolutionary principle and predict why these adaptions have helped those animals survive.

Sources: https://www.scribbr.com/methodology/inductive-deductive-reasoning/#:~:text=The%20main%20difference%20between%20inductive,specific%20observations%20to%20broad%20generalizations.

Haya Mahmoud

haiamahmoud063 — 2024-10-04 10:00:43 UTC

Science is not usually value-free because ethical values have to be considered to keep people at bay and to offer safety to others. While it is true that science has to be completely objective to strive for better truth of data, if ethical obligations, that are considered subjective, are ignored, many problems will occur in experiments and research, especially in the cause of human rights and safety.

Sources: https://direct.mit.edu/posc/article-abstract/24/2/167/15518/Why-We-Should-Not-Reject-the-Value-Free-Ideal-of?redirectedFrom=fulltext

and

https://works.swarthmore.edu/cgi/viewcontent.cgi?article=1085&context=fac-philosophy

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 10:46:32 UTC

Yes, the natural sciences rely on foundational assumptions that cannot be proven by science itself. For example, scientists assume the uniformity of nature, meaning the laws of nature are consistent across time and space, and that human cognition is capable of comprehending these laws. While essential for conducting scientific research, these assumptions are philosophical in nature and cannot be empirically verified by science alone(

https://www.tutorchase.com/notes/ib/tok/9-1-1-nature-and-scope-of-sciences

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 10:48:03 UTC

Identifying which factors are relevant to measure before solving a scientific problem often involves forming hypotheses based on existing observations and theoretical frameworks. https://link.springer.com/chapter/10.1007/978-3-030-47967-1_2

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 10:50:41 UTC

When different models give different solutions to a problem, scientists typically evaluate the models based on criteria such as their ability to accurately represent empirical data, their predictive power, and their usefulness for decision-making. A model is considered better if it fits the available data more accurately and has higher predictive success when tested against known outcomes. https://www.cambridge.org/core/elements/scientific-models-and-decision-making/B7AC2159C941E7D0A08D9981FC8822F1

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 12:02:56 UTC

The choice of an appropriate scientific model depends on how well it addresses the specific scientific question and how accurately it represents the relevant aspects of the system being studied. Scientists often choose models based on simplicity, predictive power, and the ability to be validated against empirical data. https://sciencepod.net/scientific-model/

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 12:05:01 UTC

We determine what assumptions to make in constructing a model based on existing theories, observations, and the intended purpose of the model. Sensitivity analysis and simulations help test how different assumptions affect the model's behavior, guiding which assumptions are most relevant and robust. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008539

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 12:05:53 UTC

To know how to manipulate a model to get an answer, one must first understand the structure and assumptions of the model, which are typically derived from a combination of empirical data and theoretical frameworks. Manipulation often involves adjusting variables, applying constraints, or using mathematical equations to simulate different scenarios and observe the model's response. https://chem.libretexts.org/Bookshelves/General_Chemistry/Map%3A_Chemistry_-_The_Molecular_Nature_of_Matter_and_Change_(Silberberg)/01%3A_Keys_to_the_Study_of_Chemistry/1.03%3A_The_Scientific_Approach-_Developing_a_Model

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 12:06:47 UTC

To interpret a model's results in the real world, it’s crucial to contextualize the findings within the framework of the original problem. This means examining how well the model’s outputs align with empirical data and ensuring the conclusions drawn are meaningful in the context of existing theories or observations. https://www.sciencelearn.org.nz/resources/575-scientific-modelling

yassin Abdelrahman

yassinabdelrahman075 — 2024-10-04 12:08:23 UTC

The debate over whether science should be value-free is complex. Some argue that science should remain objective and free from values to ensure unbiased results, while others contend that values inevitably play a role in scientific inquiry, particularly when it comes to ethical considerations and policy implications.https://upittpress.org/books/9780822960263/

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 12:10:39 UTC

Research should be subject to ethical constraints to ensure the safety and well-being of participants and society, as unchecked scientific inquiry can lead to harmful consequences. While the pursuit of knowledge is intrinsically valuable, ethical considerations must guide research practices to maintain public trust and uphold moral standards.https://link.springer.com/referenceworkentry/10.1007/978-3-319-76040-7_62-1

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 12:11:16 UTC

Yes, there is a tendency to exaggerate the objectivity of scientific facts while portraying moral values as highly subjective. This perspective overlooks the inherent subjectivity present in scientific inquiry, including assumptions, biases, and the influence of personal values on research.https://link.springer.com/article/10.1007/BF00430209

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 12:45:31 UTC

Developments in science have frequently challenged long-held ethical values by introducing complex dilemmas that require re-evaluation of existing moral frameworks. For example, advancements in genetic engineering, particularly with technologies like CRISPR, raise questions about the morality of editing human genes, which blurs the lines between healing and enhancement, potentially leading to new forms of inequality https://www.laboratoryequipment.com/558920-Top-10-Ethical-Dilemmas-in-Science-for-2020/

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 13:36:38 UTC

Moral disagreements can be challenging to resolve through empirical evidence alone, as moral intuitions and beliefs are often influenced by subjective factors and cultural contexts. While empirical evidence can inform our understanding of certain moral issues (e.g., data on the consequences of specific actions), deeply held moral beliefs may remain resistant to such evidence due to differing underlying values and perspectives https://link.springer.com/article/10.1007/s10677-020-10100-4

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 13:38:51 UTC

Human rights and laws of gravity exist in fundamentally different ways. Human rights are often viewed as social constructs or moral imperatives established by human agreement and legal frameworks, such as those outlined in the Universal Declaration of Human Rights. In contrast, the laws of gravity are empirical principles grounded in the natural sciences, observable and verifiable through experimentation. https://www.ohchr.org/en/what-are-human-rights

yassin abdelrahman

yassinabdelrahman075 — 2024-10-04 14:21:50 UTC

The influence of scientists and the societies in which they operate on ethical standards in the natural sciences is significant and complex. While scientists often push the boundaries of research, societal values and ethical frameworks provide critical oversight to ensure that scientific endeavors align with public interest and moral standards.https://academic.oup.com/edited-volume/34503/chapter/292746261

Haya Mahmoud

haiamahmoud063 — 2024-10-04 16:30:33 UTC

Scientific language has all of these three functions, but it primarily focuses on explanatory and descriptive. This is because explanatory aims to explain what's observed by humans while descriptive functions aim to describe a process or a situation, etc clearly. For example, photosynthesis describes the process: plants convert sunlight into chemical energy to create glucose and oxygen. An explanation is then elaborated on how light energy is transformed into glucose.

Source: https://dovetail.com/research/explanatory-research/#:~:text=Descriptive%20research%20aims%20to%20define,causes%20and%20correlations%20between%20variables.

Haya Mahmoud

haiamahmoud063 — 2024-10-04 16:42:37 UTC

Yes, it does rely on some assumptions that aren't proven by science. People believe that everything has an explanation caused by nature behind it. They assume that all phenomena have to operate based on those natural laws and they can be understood through the scientific method, but that theory isn't exactly proven.

Sources: https://undsci.berkeley.edu/basic-assumptions-of-science/

Haya Mahmoud

haiamahmoud063 — 2024-10-04 17:37:58 UTC

Knowing what to measure before identifying the solution to the problem requires doing prior research and the context of the problems (to also look at the scenrio from all sides of different perspectives). For example, when scientists research for climate change the have to identify relevant factors to measure before fully understanding the complex idea of the climate and its systems.

Sources: https://www.linkedin.com/advice/3/how-do-you-measure-your-solutions-success-skills-problem-solving

Haya Mahmoud

haiamahmoud063 — 2024-10-04 17:46:00 UTC

To determine whether the model is appropriate or not, we have to assess how well it can explain the natural phenomenon itself, its prediction accuracy, and if empirical data is used in it.

Sources: https://ckaestne.medium.com/model-quality-d654cea6944b

and

https://www.sciencedirect.com/science/article/pii/S1364815221000918

Haya Mahmoud

haiamahmoud063 — 2024-10-04 17:55:34 UTC

This depends on the evaluation of already existing knowledge and empirical data, as well as the context it's being built for. They have to understand the existing idea and its foundation to make it as accurate as possible. For example: when it comes to the business of the economy, most people would make assumptions based on their observation of the consumers' behavior and then they'd change the market to fit the trend.

Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915062/

Haya Mahmoud

haiamahmoud063 — 2024-10-04 18:03:29 UTC

To decide which model is best, they must be compared to each other and then to the situation. Whichever one holds the most empirical data, has the least disadvantages, and explains the natural phenomenon the most, is considered the best-fit solution. For example, different models are created for climate change because it's complex and has numerous factors affecting it. Many are in between mitigation and adaptation strategies and use either depending on the place and situation.

Sources: https://www.the-innovation.org/geoscience/article/10.59717/j.xinn-geo.2023.100015/

Haya Mahmoud

haiamahmoud063 — 2024-10-04 18:16:23 UTC

Determining whether or not to manipulate a model to get an answer requires assessing the model, its limitations, and the context behind it. There's also the idea that it might need updating because of constant change in the world. Example: In environmental science, we usually model weather patterns, etc. However, the world is under global warming so we must update our models constantly to achieve accurate results.

Source: https://www.carbonbrief.org/qa-how-do-climate-models-work/#:~:text=Climate%20models%20are%20run%20using,to%20clouds%20to%20ocean%20salinity.

Haya Mahmoud

haiamahmoud063 — 2024-10-04 18:24:05 UTC

When we interpret the model answer back in the real world, we have to consider its context of why? We also have to understand its answer and interpret it in a way that gives out a beneficial response. For example, economic models. They're used to predict GDP growth and so on. This is done in numerical values and percentages.

Sources: https://www.investopedia.com/terms/g/gdp.asp

Jassim Seyadi

jassimseyadi139 — 2024-10-05 17:24:44 UTC

Science aims to be value-free, but in practice, it is often influenced by societal values and biases. These factors can shape research questions, funding priorities, and interpretations of data. While scientists strive for objectivity, it is important to acknowledge the potential impact of values on scientific inquiry.

Research on GMOs has been influenced by a variety of factors, including economic interests, environmental concerns, and public health considerations. These factors have led to debates about the safety and benefits of GMOs, and have influenced the direction of scientific research in this area .https://www.who.int/

Jassim Seyadi

jassimseyadi139 — 2024-10-05 17:26:04 UTC

Research should be subject to ethical constraints. While the pursuit of knowledge is intrinsically valuable, it must be conducted in a way that respects human rights, animal welfare, and environmental sustainability. Ethical guidelines help to ensure that research is conducted responsibly and minimizes harm to individuals and society.

A notable example of stem cell research is its application in the treatment of Parkinson's disease. Scientists have investigated the potential of using stem cells to replace damaged nerve cells in the brain, which are lost in Parkinson's disease. Several clinical trials have been conducted to evaluate the safety and efficacy of stem cell transplantation for Parkinson's patients.

https://www.nih.gov/

Jassim Seyadi

jassimseyadi139 — 2024-10-05 17:27:32 UTC

We often overemphasize the objectivity of scientific facts while underestimating the subjectivity of moral values. While scientific inquiry aims for objectivity, it can be influenced by biases and societal values. Moral values, on the other hand, are inherently subjective and can vary across cultures and individuals. The Fukushima Daiichi nuclear disaster in Japan in 2011 had a significant impact on public perception and policy regarding nuclear energy. The accident raised concerns about the safety of nuclear power plants and led to increased scrutiny of nuclear energy programs around the world. This event demonstrates how societal values and concerns can shape scientific discourse and influence the direction of research on nuclear energy.

https://www.iaea.org/

Jassim Seyadi

jassimseyadi139 — 2024-10-05 17:29:22 UTC

Developments in science have often challenged long-held ethical values. For example, advances in reproductive technologies have raised questions about the ethics of genetic modification and the creation of embryos for research. Additionally, developments in artificial intelligence have prompted debates about the ethical implications of creating sentient machines.

For example, gene editing technology being used for medical purposes is the treatment of sickle cell disease. Scientists have developed CRISPR-Cas9-based therapies to correct the genetic mutation that causes sickle cell disease. Clinical trials are currently underway to evaluate the safety and efficacy of these therapies. https://www.nih.gov/

Jassim Seyadi

jassimseyadi139 — 2024-10-05 17:30:28 UTC

While empirical evidence can inform moral discussions, it cannot ultimately resolve moral disagreements. Moral values are often based on subjective beliefs and cultural norms, which may not be easily quantifiable or measurable. However, empirical evidence can help to clarify factual disputes and provide a common ground for discussion.

For example, In 2022, the United States Supreme Court overturned Roe v. Wade, a landmark decision that had legalized abortion nationwide. This decision sparked intense debate and protests across the country, with supporters and opponents of abortion expressing strong moral and ethical arguments. While empirical evidence can inform discussions about the health risks associated with abortion, it cannot ultimately resolve the underlying moral disagreement about the sanctity of life.

https://www.guttmacher.org/

Jassim Seyadi

jassimseyadi139 — 2024-10-05 17:32:08 UTC

Human rights are not like the laws of gravity. While the laws of gravity are based on natural laws that are universally applicable, human rights are social constructs that are agreed upon and protected by societies. Human rights are not always universally recognized or respected, and their interpretation can vary across cultures and historical periods. The concept of human rights has evolved over time and is not universally agreed upon. For example, the right to vote was not recognized for all citizens in many countries until relatively recently. This demonstrates that human rights are subject to societal and historical context.

https://www.ohchr.org/en/ohchr_homepage

Jassim Seyadi

jassimseyadi139 — 2024-10-05 17:33:17 UTC

Both scientists and the societies in which they operate exert significant influence on what is ethically acceptable in natural science. While scientists may adhere to internal ethical codes, societal values and norms also play a crucial role in shaping scientific research. For example, public concerns about animal welfare and environmental impact can influence the types of research that are considered acceptable.

Research on animal testing has been subject to intense ethical debate, with many advocating for the reduction, refinement, and replacement of animal experiments. Societal values and concerns about animal welfare have influenced the development of ethical guidelines and regulations governing animal research. These guidelines have led to changes in scientific practices, such as the increased use of alternative methods to animal testing.

https://grants.nih.gov/policy-and-compliance/policy-topics/research-integrity

Sarah Jasim

sarahjasim027 — 2024-10-20 04:55:49 UTC

Scientific language primarily serves an interpretative function, allowing researchers to share complex ideas, analyze data, and draw conclusions based on evidence.

Faye, J. (2010). Interpretation in the natural sciences. ResearchGate. https://www.researchgate.net/publication/36444972_Interpretation_in_the_Natural_Sciences

Razan

razanelsayed238 — 2024-10-24 10:50:33 UTC

Inductive and deductive reasoning are essential in scientific inquiry, with inductive reasoning building theories from specific observations and deductive reasoning testing those theories through specific predictions. Together, they create a complementary framework that enhances our understanding and exploration of complex phenomena.

https://www.scribbr.com/methodology/inductive-deductive-reasoning/

Razan

razanelsayed238 — 2024-10-24 10:51:57 UTC

Scientific language encompasses descriptive, explanatory, and interpretative functions, enabling clear communication of observations, theories, and implications, which is essential for conveying complex scientific knowledge effectively.

http://www.tok2022.net/natural-sciences.html

Razan

razanelsayed238 — 2024-10-24 10:53:04 UTC

Yes, the natural sciences rely on unprovable assumptions—such as the uniformity of nature, causality, the existence of an objective reality, and the reliability of human cognition—which form the foundational basis for scientific inquiry, despite their inability to be empirically validated.

https://www.internationalschoolhistory.com/scope-in-natural-science.html

Razan

razanelsayed238 — 2024-10-24 10:55:37 UTC

Knowing what to measure in the natural sciences before arriving at a solution involves a systematic approach that includes clearly defining the problem, reviewing existing literature, using theoretical frameworks, engaging in exploratory research, consulting experts, considering the context, and developing a detailed measurement plan to identify relevant factors effectively.

https://www.bmdshapi.com/comparing-measurement-in-natural-and-behavioral-sciences/

Razan

razanelsayed238 — 2024-10-24 10:57:04 UTC

Determining the appropriate model in the natural sciences involves a systematic approach that includes defining the model's purpose, identifying relevant variables, evaluating existing models, comparing predictions with real data, testing for explanatory and predictive power, ensuring consistency across contexts, and refining the model iteratively based on evaluations.

https://study.com/academy/lesson/selecting-appropriate-models-in-science.html

Razan

razanelsayed238 — 2024-10-24 11:01:08 UTC

Knowing what assumptions to make when constructing a model in the natural sciences involves understanding the model's purpose, reviewing existing literature, identifying key variables, considering the context, engaging in iterative testing, acknowledging limitations, and consulting experts, all of which contribute to creating a robust and applicable model.

https://www.tutorchase.com/answers/a-level/maths/what-are-the-assumptions-in-a-mathematical-model

Razan

razanelsayed238 — 2024-10-24 11:22:03 UTC

When faced with different models yielding varying solutions in the natural sciences, key criteria for determining the most appropriate model include the fit with empirical data, explanatory power, predictive accuracy, consistency across contexts, theoretical support, and peer review consensus, which collectively guide informed decision-making.

https://study.com/academy/lesson/selecting-appropriate-models-in-science.html

Razan

razanelsayed238 — 2024-10-24 11:24:57 UTC

To effectively manipulate a model in the natural sciences, follow a systematic approach that includes understanding the model's structure, defining your objective, adjusting input parameters, using simulation tools, validating predictions against empirical data, and documenting changes and results to ensure reproducibility and clarity in your findings.

https://www.sciencelearn.org.nz/resources/575-scientific-modelling

Razan

razanelsayed238 — 2024-10-24 11:26:01 UTC

To effectively interpret model outputs in the real world, consider the context of the model, evaluate the numerical significance and units of the output, compare predictions with empirical data, communicate findings clearly and meaningfully, and account for uncertainty through confidence intervals and sensitivity analyses.

https://towardsdatascience.com/explainable-artificial-intelligence-part-2-model-interpretation-strategies-75d4afa6b739?gi=d1b9598838c9

Razan

razanelsayed238 — 2024-10-24 11:28:51 UTC

The debate over whether science should be value-free highlights the tension between the ideal of objective knowledge and the reality that human values, beliefs, and ethical considerations inevitably influence scientific inquiry and outcomes.

https://philosophy.stackexchange.com/questions/112911/is-science-value-free

Razan

razanelsayed238 — 2024-10-24 11:32:49 UTC

while the pursuit of scientific knowledge is valuable, it must be conducted within ethical constraints to protect individuals, maintain scientific integrity, and foster public trust. Ethical considerations are not merely obstacles to scientific progress; they are essential for ensuring that research benefits society as a whole.

https://atheismandscience.quora.com/Should-scientific-research-be-subject-to-ethical-constraints-or-is-the-pursuit-of-all-scientific-knowledge-intrinsicall

Razan

razanelsayed238 — 2024-10-24 11:34:04 UTC

while there is a tendency to exaggerate the objectivity of scientific facts and the subjectivity of moral values, both domains are influenced by a range of factors that complicate these distinctions. Recognizing the nuances in both scientific and moral reasoning can lead to a more balanced understanding of their roles in society.

http://www.tok2022.net/natural-sciences.html

Razan

razanelsayed238 — 2024-10-24 11:36:32 UTC

Developments in science, such as advancements in biotechnology, stem cell research, artificial intelligence, environmental science, public health ethics, and research practices, have significantly challenged long-held ethical values, prompting society to reevaluate its moral frameworks in response to new knowledge and technologies.

https://pmc.ncbi.nlm.nih.gov/articles/PMC1084045/

Razan

razanelsayed238 — 2024-10-24 11:38:21 UTC

Moral disagreements can often be informed by empirical evidence, particularly in factual disputes where shared data can clarify beliefs; however, such evidence has limited capacity to resolve disagreements rooted in differing values and attitudes, as these are often deeply entrenched and not swayed by facts alone.

https://plato.stanford.edu/entries/disagreement-moral/

Razan

razanelsayed238 — 2024-10-24 11:41:19 UTC

Human rights do not exist in the same objective and universal manner as the laws of gravity; instead, they are social constructs based on collective human agreements and ethical considerations, reflecting societal values that can evolve and vary across cultures.

https://philosophy.stackexchange.com/questions/14768/do-human-rights-exist