✺ Data Science and Policy Research Initiative for Global Equity, Resilience, and Sustainability
✺ led by @neilsgaikwad
✺ @kdd_news 20, 21, 22 workshops
Talking about humanitarian mapping and applying computer vision to satellite imagery. Panelists connecting from Kenya, Canada, Korea, and the US. #KDD2022
Thank you for the insightful session @HumanitarianSys @future_andi @nicerawanjiruki@IDEAMAPSNetwork
How do we strengthen e-participation and co-planning in city project planning and design? Authors from the third paper session at the #KDD2022#DatadrivenHumanitarianMapping workshop describe a new web app to achieve greater urban homeostasis.
.@alex_pentland (MIT Media Lab) gave a keynote speech on "The Politics of Data-Driven Humanitarian Mapping: Making Systems that Work for Everyone", sharing data-driven insights and mechanisms for federated data in the future @kdd_news#KDD2022#DatadrivenHumanitarianMapping
Invited speaker Marta Gonzalez @martikagv from UC-Berkeley shared three projects that leverage digital traces for transport planning under natural disasters, assessing air quality, and modeling mitigation for fire risks @kdd_news#KDD2022#DatadrivenHumanitarianMapping
Samira Barzin from the University of Oxford (work with @junrentschler and @NeaveOClery) presents a machine learning approach for high resolution urban employment prediction in developing countries. @kdd_news#KDD2022#DatadrivenHumanitarianMapping
Sungwon Park from KAIST gives a talk on how we can learn economic indicators by aggregating multi-level geospatial information obtained from satellite imagery. @kdd_news#KDD2022#DatadrivenHumanitarianMapping
Today UN Global Pulse's @josephpbullock and @litonidas will share about our work on Multi-AI Complex Systems in Humanitarian Response. #KDD2022@HumanitarianSys
Learn more here: https://t.co/5a20jGJKek
Last paper session authors discussed pushing government's boundary, the pro of adding participatory mapping, and collecting health data at scale, moderated by @BondiElizabeth#DatadrivenHumanitarianMapping#KDD2021
Iris C. Liu (USC) and her teammates calculated a restuarant-level nutrition indicator and ground-truth the data with Nutritionix. As such they constructed a continuous indicator of food environment nutritional quality. #DatadrivenHumanitarianMapping#KDD2021