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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) @ None
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.

Sat 8:00 a.m. - 8:15 a.m.
Introduction and Welcome (Intro)
Ritwik Gupta
Sat 8:15 a.m. - 8:45 a.m.
Invited Talk: Duncan (Talk)   
Brittany Duncan
Sat 8:45 a.m. - 9:15 a.m.
Invited Talk: Vaughan (Talk)   
Christopher Vaughan
Sat 9:15 a.m. - 9:45 a.m.
Invited Talk: SeLegue (Talk)   
Phillip SeLegue
Sat 9:45 a.m. - 10:15 a.m.
Invited Talk: Yun (Talk)   
Sang-Ho Yun
Sat 10:15 a.m. - 10:45 a.m.
Break (with Zoom session) (Break)
Sat 10:45 a.m. - 11:00 a.m.
Spotlight Talk: Tingzon (Talk)   
Issa Tingzon
Sat 11:00 a.m. - 11:15 a.m.
Spotlight Talk: Chen (Talk)   
Chen Chen
Sat 11:15 a.m. - 11:30 a.m.
Spotlight Talk: Huot (Talk)   
Fantine Huot
Sat 11:30 a.m. - 11:45 a.m.
Spotlight Talk: Lee (Talk)   
Jihyeon Lee
Sat 11:45 a.m. - 1:00 p.m.
Lunch (with Zoom Session) (Break)
Sat 1:00 p.m. - 1:30 p.m.
Invited Talk: Bjørgo (Talk)   
Einar Bjørgo
Sat 1:30 p.m. - 2:00 p.m.
Invited Talk: Rahnemoonfar (Talk)
Maryam Rahnemoonfar
Sat 2:00 p.m. - 2:30 p.m.
Invited Talk: Ye (Talk)   
Xinyue Ye
Sat 2:30 p.m. - 3:00 p.m.
Invited Talk: Rao and Dzombak (Talk)   
Vivek Rao, Rachel Dzombak
Sat 3:00 p.m. - 3:30 p.m.
Break (with Zoom session) (Break)
Sat 3:30 p.m. - 3:45 p.m.
Spotlight Talk: Tsai (Talk)   
Alicia Tsai
Sat 3:45 p.m. - 4:00 p.m.
Spotlight Talk: Benson (Talk)   
Vitus Benson
Sat 4:00 p.m. - 4:15 p.m.
Spotlight Talk: Boin (Talk)   
JB Boin
Sat 4:15 p.m. - 4:30 p.m.
Spotlight Talk: Jain (Talk)   
Vidhi Jain
Sat 4:30 p.m. - 4:45 p.m.
Break (with Zoom session) (Break)
Sat 4:45 p.m. - 5:00 p.m.
Spotlight Talk: Rodriguez (Talk)   
Alexander Rodriguez
Sat 5:00 p.m. - 5:15 p.m.
Spotlight Talk: Ebrahimi Kahou (Talk)   
Samira Ebrahimi Kahou
Sat 5:15 p.m. - 5:30 p.m.
Spotlight Talk: Nevo (Talk)   
Sella Nevo
Sat 5:30 p.m. - 6:00 p.m.
Live Q&A

Author Information

Ritwik Gupta (Carnegie Mellon University - Software Engineering Institute)

**Ritwik Gupta** is a Machine Learning Research Scientist at Carnegie Mellon University’s Software Engineering Institute. His research focus lies on the hand-off between humans and autonomous systems. Specifically, his current projects include robotic anomaly detection in constrained environments, humanitarian assistance and disaster response, and efficient machine learning with limited compute resources. Prior to CMU, Ritwik’s back- ground was in the world of biomedical informatics, focusing on causal driver-passenger mutation identification.

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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