Florida State researcher explores human-AI collaboration and digital learning

Subhasree Sengupta, an assistant professor at Florida State University, is studying how social media, online communities and generative AI can support learning, connection and professional growth. Her work focuses on responsible technology design, collaborative learning and the future of work.

Why it matters: - Subhasree Sengupta’s research looks at how emerging technologies can shape learning, resilience, professional identity and community-building. - The work speaks to a broader shift in how people use digital spaces for education, collaboration and career development. - The research also has implications for responsible AI design and the future of work.

What happened: - Subhasree Sengupta, an assistant professor at Florida State University, is pursuing interdisciplinary research on the relationship between people, technology, learning and professional development. - Sengupta holds a joint appointment with the Learning Systems Institute and the School of Information. - Her work examines social media platforms, online communities and generative AI ecosystems as spaces for expression, learning, collaboration and growth. - Influential Women recognized Sengupta and published a profile on her work. - More information is available through her Influential Women profile.

The details: - Sengupta’s research spans human-AI collaboration, AI and education, responsible technology design, collaborative learning, workforce development and AI-mediated communication. - Her doctoral work at Syracuse University examined how online communities, including Reddit discussion forums, can provide support, resilience and community-building opportunities for women in technical fields. - Her education includes a master’s degree in computer science from the University of Southern California, a user experience design certificate in user-centered design from Cornell University and a bachelor’s degree in computer science from the University of Minnesota. - At Minnesota, Sengupta graduated Summa Cum Laude and with High Distinction. - Her background combines computer science and applied mathematics with computational, qualitative and design-based research methods. - Her work draws on computational social science, human-computer interaction, computer-supported cooperative work, social network analysis and informal learning. - Sengupta said technology can help people discover what they want to learn, who they want to become and how they can connect with others. - Sengupta said success is rooted in passion, satisfaction, fulfillment and continued learning rather than only external milestones. - A mentor’s advice to do something that keeps you awake at night continues to shape her career. - Sengupta encourages people to expect setbacks, especially when pursuing ideas that have not been done before. - When an approach fails, she advises exploring a new direction, adjusting the idea or finding a clearer way to communicate value to a specific audience.

Between the lines: - Sengupta’s profile reflects a growing view in academia that AI and digital platforms should be studied as social systems, not just technical tools. - Her emphasis on intrinsic success and resilience suggests a research agenda rooted in long-term learning rather than short-term metrics. - The focus on women in technical fields points to an interest in who gets support and belonging inside online communities.

What's next: - Sengupta will continue research, teaching and service that connect technical and social perspectives. - Her work is likely to keep focusing on how digital environments can support learning, collaboration and responsible innovation. - The profile frames emerging technologies as tools that can help people learn, connect and pursue professional goals if they are thoughtfully designed and used.

The bottom line: - Sengupta’s research argues that AI and digital platforms matter most when they expand human capability, community and opportunity.