This Project Grant award from the National Science Foundation's Division of Computer and Network Systems provides $174,906 to the University of Tulsa to develop secure, privacy-preserving, and efficient crowdsourcing systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070).
The University of Tulsa will enhance security, privacy, and efficiency in crowdsourcing systems by developing an advanced quality control approach to ensure data integrity, investigating privacy risks and designing schemes to prevent violations, and creating an artificial intelligence framework to help workers identify and prioritize tasks more efficiently. Additionally, the University will integrate these schemes into a browser extension for workers and a server-side model for deployment in large-scale crowdsourcing systems. This award supports the NSF's mission to advance computing research and education and was deemed worthy through the Foundation's merit review process.