https://padlet.com/techchange/analysis Copy and paste your mini group's top 4-5 innovations here. For example, consider innovations within... A) Looking at new/non-traditional data sources; triangulating/integrating new/novel sources into our analyses; triangulating/integrating existing data sources B) Visualizing data in new ways; using new/improved analytic methods (i.e., metrics) in our work; incorporating non-descriptive statistics in our visuals; visualizing data to help the reader get to conclusions faster, etc. C) Using new or innovate software that we haven’t used before; looking at existing software and its functions but using it in new ways, etc. en-us 2021-10-02 18:26:16 UTC 2021-10-28 17:32:46 UTC hello@padlet.com https://padlet-uploads.storage.googleapis.com/1155856366/be0a57f8c3222360c3c0cffd73461793/TC_Illustration_Draft_2021_D1_26.png https://padlet.com/techchange/analysis/wish/1790265842 2021-10-04 16:31:32 UTC https://padlet.com/techchange/analysis/wish/1790265842 https://padlet.com/techchange/analysis/wish/1790268061 In PEPFAR we're really good at reporting out on MER indicators and achievement toward quarterly/annual targets. What we lack is a way of consolidating the nuance and story behind what the data is telling us. How do we capture this data, so we can have both together at the click of a button?]]> 2021-10-04 16:32:21 UTC https://padlet.com/techchange/analysis/wish/1790268061 https://padlet.com/techchange/analysis/wish/1790270011 Integrating innovations such as the Narratives Shiny App and the YODA model within Pano or some shared repository that's more easily accessible to stakeholders.]]> 2021-10-04 16:33:05 UTC https://padlet.com/techchange/analysis/wish/1790270011 https://padlet.com/techchange/analysis/wish/1790271664 Automating routine processes such as the QC process by researching different innovative data science techniques. Example: automated clicking software for unit testing]]> 2021-10-04 16:33:43 UTC https://padlet.com/techchange/analysis/wish/1790271664 https://padlet.com/techchange/analysis/wish/1790272590 Start to move towards predictive modeling to solve PEPFAR related questions using advanced R and/or Python statistical packages. Build sub-cluster of people interested in teaming up to create these types of models and encourage teamwork and mentorship (from those who have build innovative products)]]> 2021-10-04 16:34:04 UTC https://padlet.com/techchange/analysis/wish/1790272590 https://padlet.com/techchange/analysis/wish/1790276393 1) Capacity building and standarization in qualitative data (above and beyond narratives)
2) Narratives data hard to read in Pano - RShiny is a great innovation, can we integrate RShiny app into Pano?]]> 2021-10-04 16:35:17 UTC https://padlet.com/techchange/analysis/wish/1790276393 https://padlet.com/techchange/analysis/wish/1790282971 1) school registers for AGYW
2) climate risks for children to CHIV/OVC program
3) humanitarian/migration/movement data into CoT]]> 2021-10-04 16:37:37 UTC https://padlet.com/techchange/analysis/wish/1790282971 https://padlet.com/techchange/analysis/wish/1790284268 2021-10-04 16:38:06 UTC https://padlet.com/techchange/analysis/wish/1790284268 https://padlet.com/techchange/analysis/wish/1790286901 Using animation to tell data stories]]> 2021-10-04 16:39:07 UTC https://padlet.com/techchange/analysis/wish/1790286901 https://padlet.com/techchange/analysis/wish/1790288404 Integrating additional data streams, such as financial/SIMS, (to the extent possible) into our more routine MER programmatic analysis so that program folks can readily access. ]]> 2021-10-04 16:39:42 UTC https://padlet.com/techchange/analysis/wish/1790288404 https://padlet.com/techchange/analysis/wish/1790289330 Many ICPI dashboards and tools require some data manipulation to produce the respective visualizations. Therefore we should be more intentional in documenting "how to" for each product.]]> 2021-10-04 16:40:01 UTC https://padlet.com/techchange/analysis/wish/1790289330 https://padlet.com/techchange/analysis/wish/1790290237 Have to think about how our analysis are helping make programmatic decisions. Sometimes efforts are made into looking visuals nice visually but what is that ultimately telling the field team on how to improve performance. Interpretation is important part of this process.]]> 2021-10-04 16:40:21 UTC https://padlet.com/techchange/analysis/wish/1790290237 https://padlet.com/techchange/analysis/wish/1790291785 Creating new metrics to help better analyze data, given MER indicator challenges. BUT also figuring out how to bring visibility and get users to uptake those metrics/provide feedback. ]]> 2021-10-04 16:40:56 UTC https://padlet.com/techchange/analysis/wish/1790291785