September 16, 2019
October 1, 2019
Camera Ready Deadline
October 14, 2019
We welcome methods from these and other related fields:
- Machine Learning
- Computer Vision
- Natural Language Processing
- Information Theory
- Decision Theory
- Game Theory
- Causal Modeling
- Applied Statistics
Further, we welcome applications to a variety of humanitarian and disaster response issues, including but not limited to the following:
- Search and rescue robotics
- Computer vision for damage assessment
- Motion planning in obstructed roads
- Disinformation management on social media
Submissions will be limited to 5 pages of content and 1 page of references in the NeurIPS 2019 format. Papers can contain appendices after the sixth page, but reviewers are not required to consider them in their decisions.
The deadline for submission is September 16th, 2019 at 11:59PM Pacific Time. Submissions must be made on the hosted CMT instance at https://cmt3.research.microsoft.com/NeurIPSAIHADR2019/. All submissions will undergo double-blind review; Thus, please ensure that your submission is anonymized when submitted, including removing names, affiliations, contact information, and ensuring that references to your own previous work are in the third person.
Submissions will be judged on
- Their technical merit
- The clarity in conveying the importance of the work, methodology, and experimental results (if applicable)
- The relevance to the goal of the workshop.
Each submission will be reviewed by at least one member each from the AI and HADR communities to ensure both technical merit and impact are both considered.
Authors of accepted papers will be notified on October 1st, 2019. Upon notification, we ask that authors of accepted papers deanonymize their works, make any final changes, host their paper on the web (for instance, on arXiv), and then submit a link to where the paper is hosted to the workshop organizers by October 14th, 2019. This website will then host a collection of these links.
Note that accepted papers will not be formally published. This means that:
- Authors can retain full copyright of their works
- Work contained in accepted papers are not precluded to be published in other research venues
- Submitted papers are allowed to have significant overlap with previously published or currently submitted work (in this case, please indicate overlapping works).