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Second Workshop on AI for Humanitarian Assistance and Disaster Response
Ritwik Gupta · Robin Murphy · Eric Heim · Zhangyang Wang · Bryce Goodman · Nirav Patel · Piotr Bilinski · Edoardo Nemni

Sat Dec 12 08:00 AM -- 06:00 PM (PST) @
Event URL: https://www.hadr.ai/ »

Natural disasters are one of the oldest threats to both individuals and the societies they co-exist in. As a result, humanity has ceaselessly sought way to provide assistance to people in need after disasters have struck. Further, natural disasters are but a single, extreme example of the many possible humanitarian crises. Disease outbreak, famine, and oppression against disadvantaged groups can pose even greater dangers to people that have less obvious solutions. In this proposed workshop, we seek to bring together the Artificial Intelligence (AI) and Humanitarian Assistance and Disaster Response (HADR) communities in order to bring AI to bear on real-world humanitarian crises. Through this workshop, we intend to establish meaningful dialogue between the communities.

By the end of the workshop, the NeurIPS research community can come to understand the practical challenges of aiding those who are experiencing crises, while the HADR community can understand the landscape that is the state of art and practice in AI. Through this, we seek to begin establishing a pipeline of transitioning the research created by the NeurIPS community to real-world humanitarian issues.

Author Information

Ritwik Gupta (Carnegie Mellon University - Software Engineering Institute)

I am currently a first year Ph.D. student at the University of California, Berkeley co-advised by Drs. Trevor Darrell and Shankar Sastry. My focus is on efficient machine learning for humanitarian assistance and disaster response and the polciy surrounding the use of ML in developing areas. I am also the Founder and President of Neural Tangent, a company aimed at creating ML solutions to humanitarian assistance and disaster response problems. I also provide consulting in the space of machine learning, artificial intelligence, edge computing, and remote sensing.

Robin Murphy (Texas A&M University)
Eric Heim (Carnegie Mellon University, Software Engineering Institute)
Zhangyang Wang (University of Texas at Austin)
Bryce Goodman (Defense Innovation Unit)
Nirav Patel (Defense Innovation Unit)
Piotr Bilinski (University of Oxford)
Edoardo Nemni (United Nations Operational Satellite Application Programme)

Edoardo Nemni is a Machine Learning Researcher at the United Nations Institute of Training and Research Operational Satellite Application Programme (UNITAR-UNOSAT). His research focus lies on apply deep learning algorithms to satellite imagery for disaster response such as satellite-derived flood analysis, shelter mapping, building footprints, damage assessment, and more. His current project is FloodAI: an end-to-end fully automated pipeline whereby satellite images of flood-prone areas are automatically downloaded and processed to output disaster maps.

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