https://padlet.com/assj/ESDS_class_2 Please take the opportunity to collectively reflect upon the main take aways from this course. What concepts did you find useful, what wil you always remember (or would at least like not to forget) and what questions have remained unanswered. Hopefully, this can be a useful resource in the future. So, write up central terms, concepts and questions and explain/answer them below. Supplement each other and answer each others questions. I have written a few for inspiration - if you don't know what you learned during this course you can start by filling them out en-us 2021-10-12 15:26:16 UTC 2021-10-14 09:33:11 UTC hello@padlet.com assj https://padlet.com/assj/ESDS_class_2/wish/1811147135 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147135 assj https://padlet.com/assj/ESDS_class_2/wish/1811147137 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147137 assj https://padlet.com/assj/ESDS_class_2/wish/1811147138 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147138 assj https://padlet.com/assj/ESDS_class_2/wish/1811147140 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147140 assj https://padlet.com/assj/ESDS_class_2/wish/1811147141 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147141 assj https://padlet.com/assj/ESDS_class_2/wish/1811147144 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147144 assj https://padlet.com/assj/ESDS_class_2/wish/1811147146 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147146 assj https://padlet.com/assj/ESDS_class_2/wish/1811147148 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147148 assj https://padlet.com/assj/ESDS_class_2/wish/1811147149 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147149 assj https://padlet.com/assj/ESDS_class_2/wish/1811147152 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147152 assj https://padlet.com/assj/ESDS_class_2/wish/1811147153 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147153 assj https://padlet.com/assj/ESDS_class_2/wish/1811147154 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147154 assj https://padlet.com/assj/ESDS_class_2/wish/1811147155 what can it be used for? what do you need to be aware of?]]> 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147155 assj https://padlet.com/assj/ESDS_class_2/wish/1811147156 .. is good for [...]]]> 2021-10-12 15:26:16 UTC https://padlet.com/assj/ESDS_class_2/wish/1811147156 https://padlet.com/assj/ESDS_class_2/wish/1816503197 Whether or not the researcher intervenes and affects what is being observed : obtrusive if they do have an effect - this includes people just being aware of observation.
Examples: 
obtrusive: interviews, surveys, field experiments, lab experiments
Unobtrusive: archives, primary source data collection

]]> 2021-10-14 09:18:18 UTC https://padlet.com/assj/ESDS_class_2/wish/1816503197 https://padlet.com/assj/ESDS_class_2/wish/1816503639 Things to control for within the experiment, such as people opting out of the newsletter re. the power experiment]]> 2021-10-14 09:18:33 UTC https://padlet.com/assj/ESDS_class_2/wish/1816503639 https://padlet.com/assj/ESDS_class_2/wish/1816504652 2021-10-14 09:19:05 UTC https://padlet.com/assj/ESDS_class_2/wish/1816504652 https://padlet.com/assj/ESDS_class_2/wish/1816504916 Assigning treatments randomly within an experiment]]> 2021-10-14 09:19:14 UTC https://padlet.com/assj/ESDS_class_2/wish/1816504916 https://padlet.com/assj/ESDS_class_2/wish/1816507429 2021-10-14 09:20:32 UTC https://padlet.com/assj/ESDS_class_2/wish/1816507429 https://padlet.com/assj/ESDS_class_2/wish/1816508016 Difference between desired and actual privacy (?)]]> 2021-10-14 09:20:50 UTC https://padlet.com/assj/ESDS_class_2/wish/1816508016 https://padlet.com/assj/ESDS_class_2/wish/1816509638 2021-10-14 09:21:23 UTC https://padlet.com/assj/ESDS_class_2/wish/1816509638 https://padlet.com/assj/ESDS_class_2/wish/1816513371 A type of ethics that emphasizes following a set of rules: simply following these can be seen as sufficient for ethical practice]]> 2021-10-14 09:23:13 UTC https://padlet.com/assj/ESDS_class_2/wish/1816513371 https://padlet.com/assj/ESDS_class_2/wish/1816517492 Salganik discusses this. Inspired by rules and ad-hoc approaches: takes aspects from both and tries to find a middle way. Follow guiding principles, but some flexibility and ability to trade off between principles]]> 2021-10-14 09:25:17 UTC https://padlet.com/assj/ESDS_class_2/wish/1816517492 https://padlet.com/assj/ESDS_class_2/wish/1816523049 This describes how an event (e.g. ban of Instagram) can lead to further, sometimes unexpected/more serious events (people circumventing censorship and finding political materials as well as Instagram)]]> 2021-10-14 09:27:57 UTC https://padlet.com/assj/ESDS_class_2/wish/1816523049 https://padlet.com/assj/ESDS_class_2/wish/1816523225 Gamification is about creating similar expierience in an survey or something else which is similar to game-design to motivate and engage the participant]]> 2021-10-14 09:28:04 UTC https://padlet.com/assj/ESDS_class_2/wish/1816523225 https://padlet.com/assj/ESDS_class_2/wish/1816526774 Ready made data is every data source that is not initially designed to use it for reasearch e.g. Webdata, official records, text data etc. Thus it is often very messy and also does not contain the sufficient variables to operationalize theoretical constructs. Because of this, it is often neccesary and usefull to combine ready- with custommade data. 

Custom made data in comparison is data that is designed "from researchers for research" e.g. surveys, experiments, interviews. The keyvalue of this data is that one can in theory include what one needs. THus, this data is valuable to operationalize certain research questions and relate it to theoretical assumptions. But, custom made data is often not sufficient to answer all questions, because the methods are often obtrusive, which could lead to biased results etc. Also, asking people is sometimes not the best way to get valid results, because other dimensions such as social desireability can bias responses. 
(Salganik 2019 "Bit by bit": p.7 ff..)  ]]> 2021-10-14 09:30:01 UTC https://padlet.com/assj/ESDS_class_2/wish/1816526774 https://padlet.com/assj/ESDS_class_2/wish/1816526862 The granularity of data is about the data's level of detail. For example weather data for every second of an day is more granular then weather data for every minute of an day. ]]> 2021-10-14 09:30:04 UTC https://padlet.com/assj/ESDS_class_2/wish/1816526862 https://padlet.com/assj/ESDS_class_2/wish/1816526976  Unobtrusive data collection methods like scraping require reflections on ethical implications. Good to have Salganiks 3 Rs in mind when working with digital traces: 
• Replace 
• Refine 
• Reduce ]]> 2021-10-14 09:30:09 UTC https://padlet.com/assj/ESDS_class_2/wish/1816526976 https://padlet.com/assj/ESDS_class_2/wish/1816527462 Digital traces are NOT digital data (yet): need to be turned into it by researchers with a purpose. Digital traces refers to info we leave behind via activity interacting with the digital world: e.g. the internet, smart sensors, etc
Weaknesses: incomplete, indistinguishable, incomprehensible
Strengths: organic, big, always-on, non-reactive]]> 2021-10-14 09:30:24 UTC https://padlet.com/assj/ESDS_class_2/wish/1816527462 https://padlet.com/assj/ESDS_class_2/wish/1816532288 Netnography is an online research method to understand social interaction in contemporary digital communications contexts]]> 2021-10-14 09:33:11 UTC https://padlet.com/assj/ESDS_class_2/wish/1816532288