Breaking Ground: Collaborative Design of Data and AI Systems for Science and Society
January 14-15, Michigan League — Ann Arbor, MI
The Research Data and Systems Vision (RDSV) team launched its inaugural workshop on the Collaborative Design of Data and AI Systems for Science and Society, bringing together a diverse group of experts to explore the transformative potential of artificial intelligence and databases in advancing scientific research and public services. This first-of-its-kind event set the stage for bold ideas, critical discussions, and collaborative innovation.
The two-day workshop attracted thought leaders from academia, government, and the private sector, united by a shared mission to address the challenges and opportunities in data and AI integration. Participants engaged in thought-provoking presentations and dynamic breakout sessions, working together to chart a course for better alignment between research initiatives and societal needs.
“This workshop created a rare space for cross-sector collaboration,” said Jing Liu, MIDAS executive director. “By bringing these voices together, we’re able to tackle complex issues like data governance, ethical AI, and the real-world implications of these technologies.”
Highlights from the Workshop
- Exploring New Frontiers: Expert presentations provided a foundational understanding of how AI and databases are currently shaping fields as diverse as public health, climate science, and urban planning.
- Hands-On Collaboration: Curated breakout teams discussed real-world challenges, such as managing conflicting priorities in data-driven projects and enhancing public-private partnerships.
- Real-World Case Studies: Sessions spotlighted the friction points organizations face with AI adoption, from ethical dilemmas to technical hurdles, using real-world examples to foster actionable insights.
- Pitch-Style Innovation: A highlight of the event was the high-energy pitch session, where participants presented research concepts and invited collaboration. This dynamic exchange sparked the formation of interdisciplinary research teams, setting the stage for ongoing innovation.
Looking Ahead: Building Momentum for Change
The workshop wasn’t just a venue for ideas—it was a launchpad for future action. Discussions during the event uncovered promising pathways for collaboration, emphasizing the importance of early alignment with community needs and the value of interdisciplinary teams. Many of the ideas generated during the pitch session will be carried forward into future RDSV workshops, fostering a cycle of innovation and implementation.
The event also underscored the importance of fostering public trust in AI and data systems.
“It’s critical that we ensure these tools serve the greater good,” said Shahana Chumki, MIDAS research manager. “Workshops like this are a reminder that collaboration is key to building systems that benefit everyone.”
