Workshop
Third Workshop on AI for Humanitarian Assistance and Disaster Response
Ritwik Gupta · Esther Rolf · Robin Murphy · Eric Heim
Mon 13 Dec, 9 a.m. PST
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.
Schedule
Mon 9:00 a.m. - 9:10 a.m.
|
Introduction
(
Introduction
)
>
SlidesLive Video |
🔗 |
Mon 9:10 a.m. - 9:40 a.m.
|
Retrospectives on the Deployment of a Flood Segmentation Deep Learning Model Into a Near-Real-Time Monitoring Service
(
Retrospective
)
>
SlidesLive Video |
Edoardo Nemni 🔗 |
Mon 9:40 a.m. - 10:10 a.m.
|
Automated Labeling of Civil Air Patrol Imagery for Hurricane Ida
(
Retrospective
)
>
SlidesLive Video |
Katherine Picchione 🔗 |
Mon 10:10 a.m. - 10:40 a.m.
|
Jonathan Stock - Director, United State Geological Survey Innovation Center
(
Invited Talk
)
>
SlidesLive Video |
Jonathan D Stock 🔗 |
Mon 10:40 a.m. - 11:10 a.m.
|
David Merrick - Director, Emergency Management and Homeland Security Program at FSU
(
Invited Talk
)
>
SlidesLive Video |
David Merrick 🔗 |
Mon 11:10 a.m. - 11:40 a.m.
|
Break link | 🔗 |
Mon 11:40 a.m. - 11:47 a.m.
|
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
(
Oral
)
>
SlidesLive Video |
Haoran Su 🔗 |
Mon 11:47 a.m. - 11:54 a.m.
|
Disaster Mapping From Satellites: Damage Detection with Crowdsourced Point Labels
(
Oral
)
>
SlidesLive Video |
Danil Kuzin 🔗 |
Mon 11:54 a.m. - 12:01 p.m.
|
Creating a Coefficient of Change in the Built Environment After a Natural Disaster
(
Oral
)
>
SlidesLive Video |
Karla Saldana Ochoa 🔗 |
Mon 12:01 p.m. - 1:30 p.m.
|
Lunch link | 🔗 |
Mon 1:30 p.m. - 2:00 p.m.
|
Emily Aiken - Graduate Student Researcher, University of California, Berkeley
(
Invited Talk
)
>
SlidesLive Video |
Emily Aiken 🔗 |
Mon 2:00 p.m. - 2:30 p.m.
|
Tomas Svoboda - Professor, Czech Technical University in Prague
(
Invited Talk
)
>
SlidesLive Video |
Tomas Svoboda 🔗 |
Mon 2:30 p.m. - 2:37 p.m.
|
Damage Estimation and Localization from Sparse Aerial Imagery
(
Oral
)
>
SlidesLive Video |
Jeffrey Liu · Rene A Garcia Franceschini 🔗 |
Mon 2:37 p.m. - 2:44 p.m.
|
NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks
(
Oral
)
>
SlidesLive Video |
jie wei 🔗 |
Mon 2:44 p.m. - 2:51 p.m.
|
Synthetic Weather Radar Using Hybrid Quantum-Classical Machine Learning
(
Oral
)
>
SlidesLive Video |
Graham Enos 🔗 |
Mon 2:51 p.m. - 2:58 p.m.
|
Unsupervised Change Detection of Extreme Events Using ML On-Board
(
Oral
)
>
SlidesLive Video |
Vit Ruzicka 🔗 |
Mon 2:58 p.m. - 3:30 p.m.
|
Break link | 🔗 |
Mon 3:30 p.m. - 4:30 p.m.
|
Poster Session ( Poster Session ) > link | 🔗 |
Mon 4:30 p.m. - 4:35 p.m.
|
Small Unmanned Aerial Systems for Wildfire Response
(
Challenge Discussion
)
>
SlidesLive Video |
Andrew Jong 🔗 |
Mon 4:35 p.m. - 4:40 p.m.
|
Multi-Modal Data Fusion and Machine Learning for Disaster Response
(
Challenge Discussion
)
>
SlidesLive Video |
Debraj De 🔗 |
Mon 4:40 p.m. - 4:45 p.m.
|
Autonomous Debris Pile Estimation
(
Challenge Discussion
)
>
SlidesLive Video |
William Basener · Robin Murphy 🔗 |
Mon 4:45 p.m. - 5:30 p.m.
|
Challenge Discussion ( GatherTown Discussion ) > link | 🔗 |
-
|
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment
(
Poster
)
>
|
Donghoon Shin 🔗 |
-
|
Mapping Access to Water and Sanitation in Colombia using Publicly Accessible Satellite Imagery, Crowd-sourced Geospatial Information, and Random Forests
(
Poster
)
>
|
Niccolo C Dejito 🔗 |
-
|
Deep Learning Methods for Daily Wildfire Danger Forecasting
(
Poster
)
>
|
Ioannis Prapas 🔗 |
-
|
Building Damage Mapping with Self-Positive Unlabeled Learning
(
Poster
)
>
|
Junshi Xia 🔗 |
-
|
On Pseudo-Absence Generation and Machine Learning for Locust Breeding Ground Prediction in Africa
(
Poster
)
>
|
Arnu Pretorius 🔗 |
-
|
Fully Convolutional Siamese Neural Networks for Buildings Damage Assessment from Satellite Images
(
Poster
)
>
|
Eugene Khvedchenya 🔗 |
-
|
Synthetic Weather Radar Using Hybrid Quantum-Classical Machine Learning (Poster)
(
Poster
)
>
|
Graham Enos 🔗 |
-
|
Creating a Coefficient of Change in the Built Environment After a Natural Disaster (Poster)
(
Poster
)
>
|
Karla Saldana Ochoa 🔗 |
-
|
NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks (Poster)
(
Poster
)
>
|
jie wei 🔗 |
-
|
Damage Estimation and Localization from Sparse Aerial Imagery (Poster)
(
Poster
)
>
|
Jeffrey Liu 🔗 |
-
|
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles (Poster)
(
Poster
)
>
|
Haoran Su 🔗 |
-
|
Disaster Mapping From Satellites: Damage Detection with Crowdsourced Point Labels (Poster)
(
Poster
)
>
|
Danil Kuzin 🔗 |
-
|
Unsupervised Change Detection of Extreme Events Using ML On-Board (Poster)
(
Poster
)
>
|
Vit Ruzicka 🔗 |