The organizing team combines junior and senior researchers from academia and industry who bring diverse expertise and complementary perspectives to the workshop — spanning HCI, CSCW, ethics in AI, computational social science, and applied AI.
PhD candidate at Northeastern University whose work explores the design and evaluation of generative AI systems that support how people think, work together, and co-create with AI. He also chairs the ACM SIGCHI Boston chapter.
Assistant Professor of Technology Ethics and Global Affairs at the University of Notre Dame. His research sits at the intersection of HCI, ethics in AI, and critical social science, focusing on how computing systems can support coexistence in plural societies.
Assistant Professor of Human-Centered Computing at UNC Charlotte and visiting scholar of HCI at Mohamed bin Zayed University of AI (MBZUAI). She leads the Bridges for Responsible Computing group, advancing accountable AI innovation for economic inclusion.
Solutions Architect at NVIDIA. PhD in Computer Science from UC San Diego. Steven focuses on how to design and develop systems that combine humans and computers to leverage the strengths of each, and co-led a 2025 CSCW workshop on GenAI's role in collaborative group-work.
Professor of Computer Science and Engineering at the University of Oulu. Simo leads the Crowd Computing research group and has organised several workshops across major HCI venues (CSCW, CHI, UbiComp). His work focuses on applied AI in digital health, human-AI interaction, and human-centric data management.
PhD candidate at Cornell Tech. His research examines how generative AI shapes interactive system design, how students navigate self-initiated AI use in HCI workflows, and issues of transparency in user research. He also teaches workshops and summer courses on design ethics.
Senior Researcher at Microsoft Research in Cambridge and an affiliated lecturer at University of Cambridge, as well as honorary lecturer at University College London. His research explores human-centred AI, end-user programming, and how people interact with data and intelligent systems.
Professor for Information Systems and Network Science at the D'Amore-McKim School of Business at Northeastern University. Chair of the ACM Collective Intelligence Conference Steering Committee, fellow at the Institute for Quantitative Social Science (IQSS) at Harvard, and fellow at the Center for Collective Intelligence at MIT.
Assistant Professor and Director of the Civic AI Lab at Northeastern University, where she co-designs, develops, and studies public AI technologies that empower workers, federal agencies, industry leaders, and NGOs.
For questions about submissions or the workshop program, contact Kashif Imteyaz (Lead Facilitator). For website or accessibility questions, contact Hauke Sandhaus (Web Chair). For publicity inquiries, contact Steven R. Rick.