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Data-driven Humanitarian Mapping, KDD 2022

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NASA/USGS

NASA/USGS

by Neil Gaikwad

April 25, 2022

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

Neil Gaikwad (@neilsgaikwad) is co-organizing the 3rd KDD conference workshop on Data-driven Humanitarian Mapping with  Shankar Iyer (Core Data Science, Meta Research) and Dalton Lunga (Oak Ridge National Laboratory).  

Citation

Snehalkumar ‘Neil’ S. Gaikwad, Shankar Iyer, Dalton Lunga, and Elizabeth Bondi. 2021. Data-driven Humanitarian Mapping: Harnessing HumanMachine Intelligence for High-Stake Public Policy and Resilience Planning. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 

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

  • Submission deadline: June 10, 2022 at 11:59 PM Pacific Standard Time
  • KDD Virtual Conference: August 14-18, 2022 
  • Please submit your papers using the submission site

KDD Workshop on Humanitarian Mapping Program Chairs

Neil Gaikwad (MIT Media Lab) 
Shankar Iyer (Meta Research)  
Dalton Lunga (Oak Ridge National Laboratory)
 

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