Project Grant 2035358

The National Science Foundation awarded a $280,000 Project Grant under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to the University of Maryland, College Park to conduct research into privacy ecosystems and management strategies for vulnerable populations. The project aims to go beyond an app-centric view of privacy by examining the broader privacy risks faced by vulnerable individuals, particularly in the healthcare context. Through qualitative research including...

This $100,000 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports the development of an empathy-based framework to enhance privacy education and design. The project team at the University of Notre Dame is using generative AI to create synthetic personas with AI-generated personal data. These personas are then used to design interactive sandboxes and developer tools that allow individuals to empathize with the...

This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports research to develop novel approaches for enabling participatory privacy protections for AI training data. The $120,511 award to the Fred Hutchinson Cancer Center in Seattle, WA will engage a multi-disciplinary team to conduct ethnographic and computational research. The key objectives are to: (1) identify socio-technical decision points and...

This Project Grant award from the National Science Foundation (NSF) Division of Social and Economic Science under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $393,256 to George Mason University to conduct research investigating the broader privacy ecosystems that vulnerable populations experience, beyond just individual mobile applications. The key products and services being delivered under this three-year award include: Qualitative research, including...

This $2 million project grant from the National Science Foundation's Division of Computing and Communication Foundations supports the development of predictive modeling tools to aid pandemic prevention and response efforts. Funded under the Computer and Information Science and Engineering program, the 18-month award to Boston Children's Hospital will plan a future center-scale effort to address gaps in understanding and modeling pandemic potential, impact of interventions, and factors...

The National Science Foundation (NSF) awarded a $200,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Virginia to develop data-driven, multimodal methods for behavior-based epidemiological modeling. The key objectives are to: Improve techniques for deriving meaningful insights from imperfect, real-world sensor data like mobile phones and search engine logs to capture complex human behaviors in real-time. Couple agent-based disease models...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $100,000 to Northeastern University provides funding for a 3-year collaborative research project titled "SATC: CORE: SMALL: Empathy-Based Privacy Education and Design Through Synthetic Persona Data Generation." The project aims to develop new frameworks and tools to enhance privacy education and design through the use of AI-generated synthetic...

This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to incorporate group-level behavioral responses into epidemic models. The award of $700,000 will support research to develop mathematical models and computational algorithms that capture how group behaviors, such as the formation of social bubbles and changes in risk-mitigating norms, can impact pandemic trajectories. The project, led by Northeastern University,...

The National Science Foundation (NSF) awarded a $998,028 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to The Trustees of the University of Pennsylvania, doing business as Clinical Practices of the University of Pennsylvania. The grant supports the development of the Data Access Platform for Human Mobility in Epidemiology (DAPHME), a large-scale data platform that collects and processes global positioning satellite (GPS) datasets to improve the...

This National Science Foundation (NSF) Project Grant award, under the CFDA 47.070 Computer and Information Science and Engineering program, provides $250,000 in funding to Arizona State University to develop intelligent anonymization methods for preserving the privacy of clients' bio-signals while retaining data utility for clinical purposes. The key products and services delivered through this 3-year award (10/1/2024 - 9/30/2027) include: 1) Designing reinforcement learning-guided generative...