Data-driven Humanitarian Mapping and Policymaking: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resiliency Planning, KDD 2022 |  August 15th 

Neil Gaikwad (@neilsgaikwad) leads the organizing of the 3rd KDD conference workshop on Data-driven Humanitarian Mapping and Policymaking at the 28th  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington DC. 

Citation

Gaikwad et al., 2022. Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability.  In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington DC. 

Call for Participation
Humanitarian challenges disproportionately impact historically marginalized and underserved communities worldwide. According to the United Nations Office for the Coordination of Humanitarian Affairs (OCHA), 274 million people will be at-risk in 2022. Humanitarian challenges disproportionately impact historically marginalized and underserved communities worldwide. According to the United Nations Office for the Coordination of Humanitarian Affairs (OCHA), 274 million people will be at-risk in 2022. Despite growing perils to human wellbeing and environmental sustainability, there remains a notable paucity of computing and data science research to inform equitable policy decisions for improving the livelihood of vulnerable populations. The 3rd KDD Workshop on Data-driven Humanitarian Mapping envisions scientific and community-based solutions to investigate and address these overarching sustainability challenges.

For more information, please visit the workshop website.  

Key Dates

• KDD Conference: August 14-18, 2022 
  
• Online participation and DEI scholarship: please submit this form
• In-person participation at Washington DC:register using the KDD portal

Program Chairs

• Neil S. Gaikwad (MIT Media Lab)
• Shankar Iyer (Meta Research)
• Dalton Lunga (Oak Ridge National Laboratory )
  
  Organizing Team
  
• Neil S. Gaikwad (MIT Media Lab)
• Shankar Iyer (Meta Research)
• Dalton Lunga (Oak Ridge National Laboratory )
• Takahiro Yabe (MIT Media Lab and IDSS)
  
• Xiaofan Liang (Georgia Institute of Technology )
• Nikhil Behari (Harvard University)
• Bhavani Ananthabhotla (MIT IDSS Technology & Policy Program)
• Sreelekha Guggilam (Oak Ridge National Laboratory)
• Guanghua Chi (Meta Research)

#human-AI collaboration #decision-making #Data science #AI #ClimateAction #ClimateCrisis #HumanitarianCrisis #SDGs #Sustainability #Global Development & Data-driven Policymaking