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Data-driven Humanitarian Mapping, KDD 2021

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NASA/USGS

NASA/USGS

by Neil Gaikwad

April 23, 2021

Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resiliency Planning, KDD 2021

Neil Gaikwad (@neilsgaikwad), a doctoral scholar from the Space Enabled Research Group, is co-organizing the 2nd KDD conference workshop on Data-driven Humanitarian Mapping with  Shankar Iyer (Core Data Science, Facebook Research), Dalton Lunga (Oak Ridge National Laboratory), and Elizabeth Bondi (Harvard University).  

Call for Participation
Societal challenges such as climate change-induced threats, the COVID-19 coronavirus pandemic, poor air quality, natural disasters, economic inequalities, racial-and-gender violence, and human conflicts disproportionately impact vulnerable populations worldwide. The 2nd KDD Workshop on Data-driven Humanitarian Mapping envisions scientific and community-based solutions to address these pressing issues.  The workshop brings together a global community of researchers and practitioners to advance the commonly shared data science research agenda on inclusive humanitarian actions and sustainable development. 

We will continue to build on the overwhelming success of the 2020 KDD workshop. This is a critical time to convene a broad spectrum of researchers, NGOs, humanitarian responders, and policymakers to advance the emerging area of Data-driven Humanitarian Mapping. Join the global community in enhancing human-machine intelligence for high-stake public policy and resiliency planning.

For more information, please visit the workshop website.  


#Data science #AI #ClimateAction #ClimateCrisis #HumanitarianCrisis #SDGs #Sustainability #Global Development & Data-driven Policymaking 

Key Dates

  • Submission deadline: May 25, 2021 at 11:59 PM Pacific Standard Time
  • Acceptance notification: June 30, 2021
  • KDD Virtual Conference: August 14-18, 2021  
  • Please submit your papers using the submission site

KDD Workshop on Humanitarian Mapping Program Chairs

Neil Gaikwad (MIT Media Lab) 
Shankar Iyer (Facebook Research)  
Dalton Lunga (Oak Ridge National Laboratory)
Elizabeth Bondi (Harvard University) 

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