[ Facebook Research – Agent-based user interaction simulation to find and fix integrity and privacy issues request for proposals | Research Funding ]
Event details
| Date | 15.07.2020 |
| Category | Call for proposal |
Aim: Software systems increasingly support communities of users who interact through the platform, elevating the importance and impact of research on integrity and privacy. How do we ensure that such communities remain safe and their data remains private?
To tackle these challenges, Facebook is undertaking research and development on a Web Enabled Simulation (WES) system called WW. WW is a multiagent simulation that trains agents (bots) using automated learning and optimization to simulate the social behavior of a range of good and bad actors. The simulation aims to automatically find and fix integrity and privacy issues.
In this call, Facebook is particularly interested in research work that tackles these challenges and that could also lead to collaboration with their WW project. More details, including open research problems and challenges we hope to tackle in partnership with the scientific community, can be found in the keynote paper on the WES agenda and WW project.
Facebook is pleased to invite faculty to respond to this call for research proposals. In order to support academic work that addresses our challenges and opportunities while producing generalizable knowledge, Facebook is pleased to offer six research awards of up to $50K each. Awards will be made as unrestricted gifts to the principal investigator’s host university.
Funding: USD $50’000
Eligibility: Applicants must be current full-time faculty at an accredited academic institution that awards research degrees to PhD students, and they must be the Principal Investigator on any resulting award. Awards must comply with applicable U.S. and international laws, regulations, and policies.
How to Apply: Proposals should include a summary of the project (1-2 pages), a draft budget description (1 page), CVs of all involved researchers, and administrative information about the institution. For any assistance on the organizational details or tax information, please contact the Research Office. Budgets should be formulated to include 5% overhead (the maximum allowed in the program guidelines).
Deadline: 15 July 2020 (5:00 pm AOE)
Further information
To tackle these challenges, Facebook is undertaking research and development on a Web Enabled Simulation (WES) system called WW. WW is a multiagent simulation that trains agents (bots) using automated learning and optimization to simulate the social behavior of a range of good and bad actors. The simulation aims to automatically find and fix integrity and privacy issues.
In this call, Facebook is particularly interested in research work that tackles these challenges and that could also lead to collaboration with their WW project. More details, including open research problems and challenges we hope to tackle in partnership with the scientific community, can be found in the keynote paper on the WES agenda and WW project.
Facebook is pleased to invite faculty to respond to this call for research proposals. In order to support academic work that addresses our challenges and opportunities while producing generalizable knowledge, Facebook is pleased to offer six research awards of up to $50K each. Awards will be made as unrestricted gifts to the principal investigator’s host university.
Funding: USD $50’000
Eligibility: Applicants must be current full-time faculty at an accredited academic institution that awards research degrees to PhD students, and they must be the Principal Investigator on any resulting award. Awards must comply with applicable U.S. and international laws, regulations, and policies.
How to Apply: Proposals should include a summary of the project (1-2 pages), a draft budget description (1 page), CVs of all involved researchers, and administrative information about the institution. For any assistance on the organizational details or tax information, please contact the Research Office. Budgets should be formulated to include 5% overhead (the maximum allowed in the program guidelines).
Deadline: 15 July 2020 (5:00 pm AOE)
Further information
- More details on the call can be found on the RFP website.
- For any other questions, contact the Research Office.
Practical information
- General public
- Free