Data Engineering, API development and visualization for CTIS
I served as the main developer in Data Engineering and Visualization & API development for the project "The University of Maryland Social Data Science Center Global COVID-19 Trends and Impact Survey, in partnership with Facebook is a partnership between Facebook and academic institutions" (CTIS). The survey is available in 56 languages. A representative sample of Facebook users is invited on a daily basis to report on topics including, for example, symptoms, social distancing behavior, vaccine acceptance, mental health issues, and financial constraints.
Related publications:
1. Junchuan Fan, Yao Li , Kathleen Stewart, Anil R. Kommareddy, Adrianne Bradford, and Samantha Chiu. "Covid-19 world symptom survey data api." (2020).
2. Kreuter, Frauke, Neta Barkay, Alyssa Bilinski, Adrianne Bradford, Samantha Chiu, Roee Eliat, Junchuan Fan, Tal Galili, Daniel Haimovich, Brian Kim, Sarah LaRocca, Yao Li , Katherine Morris, Stanley Presser, Tal Sarig, Joshua A Salomon, Kathleen Stewart, Elizabeth A Stuart, Ryan Tibshirani. "Partnering with a global platform to inform research and public policy making." In Survey Research Methods , vol. 14, no. 2, pp. 159-163. 2020.