Data-driven Humanitarian Mapping and Policymaking, 1st Worksop at the ACM SIGKDD 2020


State Department photo/ Public Domain

State Department photo/ Public Domain

Neil Gaikwad from the Space Enabled research group is co-organizing the KDD Workshop on Humanitarian Mapping  with  Shankar Iyer, Yu-Ru Lin ,  and Dalton Lunga. Workshop will be held August 24, 2020, from 8:00 AM to 4:00 PM Pacific Standard Time.

The KDD Workshop on Humanitarian Mapping brings together a global community of leading researchers and decision-makers from computer scientists, data scientists to epidemiologists, economists, urban policy researchers, computational social scientists, privacy researchers, legal scholars, and humanitarian organizations with a commonly shared priority research agenda.

Our goal is to bridge the gap between theory, practice, technology transfer, and actionable policymaking in humanitarian actions. Together, we aim to advance the knowledge of data-driven humanitarian actions in the preparation, mitigation, response, and recovery phases of disasters. The ongoing crisis of the COVID-19 coronavirus pandemic exemplifies the criticality of humanitarian mapping, measurement development, and evidence-based causal decision evaluation. 

This is a critical time to convene a broad spectrum of researchers, humanitarian responders, and policymakers working in this space to collectively tackle big challenges. Please join us in enhancing human capacity in harnessing data and human-machine intelligence for actionable policy decisions.  

Key Dates: 

  • Submission deadline: May 20, 2020, at 11:59 PM Pacific Standard Time
  • Acceptance notification: June 15, 2020
  • KDD Conference: August 23-27, 2020
  • Location: San Diego, California USA 
  • Please note that in light of the COVID-19 outbreak, we have indicated to KDD that we want to retain the flexibility of virtual or in-person contribution. 

KDD Workshop on Humanitarian Mapping Program Chairs
Neil Gaikwad (MIT Media Lab) 
Shankar Iyer (Facebook Research)  
Yu-Ru Lin (Facebook Research, University of Pittsburgh) 
Dalton Lunga (Oak Ridge National Laboratory)

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