![]() Out of total 155 applications, only 15 projects were awarded (less than 10% award rate). (11/2015-10/2016) Syracuse University Internal Research Grant Program, Accessible Online Social Learning via Crowdsourcing, $11,250, PI, Yun Huang. (06/2017-05/2022) NSF CAREER Award, Inclusive Privacy: Effective Privacy Management for People with Visual Impairments, $497,873, PI, Yang Wang. (07/2018-06/2021) National Leadership Grants for Libraries, Learning Spaces in Libraries, Log Number: Log Number: LG-80-15-0212-15, $249,908, PI, Yun Huang. Co-PIs: Yun Huang (UIUC), Pilyoung Kim (Univ. (07/2021-06/2023) NSF SaTC-Edu: Teaching High School Students about Cybersecurity and Artificial Intelligence Ethics via Empathy-Driven Hands-On Projects, total ~$300K, UIUC $154,754, PI Yang Wang. of Colorado Boulder), PI Leah Findlater (Univ. (10/2021-09/2025) NSF SaTC Medium: Novel Algorithms and Tools for Empowering People Who Are Blind to Safeguard Private Visual Content, total ~$1.1M, UIUC $315,931, PI, Co-PIs: Lawrence Angrave (UIUC), Meng Jiang (Notre Dame), Qi Wang (Gallaudet University). (09/2021-09/2024) NSF: Advancing STEM Online Learning by Augmenting Accessibility with Explanatory Captions and AI, total $849,990, Lead PI, (08/22-07/25) Institute of Museum and Library Services Early CAREER Research Development Award: “Empowering Libraries with Conversational AI”, total $399,996.Currently, our research is funded by NSF, Department of Health and Human Services, Institute of Museum and Library Services, Google and Facebook. Example projects include mobile crowdsourcing systems for public safety, systems for protecting people's privacy in social media, designs for enabling new forms of interactions between librarians and patrons, and mechanisms for making authentication more accessible for people with disabilities. We propose, develop and evaluate novel infrastructure solutions for a variety of social computing applications. We develop original designs that either enable new forms of user/social interaction or impact existing user/social interaction. We seek deep understandings of how people interact with sociotechnical computing systems. The SALT ( Soci al Compu ting Systems) lab focuses on systems research in social computing. Openings: motivated students interested in qualitative and quantitative data analysis, graphic design, web/mobile app/smart contract development, and professional writing. ![]()
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