New Questions. New Collaborators. New Fields.

Frontiers in Data Science and AI is a university-wide initiative that surfaces emerging research questions meant to spark topical exchanges across disciplines. 

Each year, the executive committee of the Data Science Institute identifies a set of timely, yet broad, themes at the edge of what data science and AI can currently address and issues a request for proposals (RFP). The Institute supports faculty-designed and led programming — symposia, panels, workshops and other experimental formats — that cut across disciplines and bring new intellectual combinations together.

Themes are broad by design with the intention to solicit proposals from a wide array of disciplines. The goal is to foster collaboration and intellectual exchange across Columbia’s community as they consider how data science and AI are transforming their fields. DSI envisions creating conditions for new research collaborations through this initiative – by lowering friction for convening, providing backing for exploratory ideas, and making visible the questions that no single department or researcher is positioned to address alone.

Themes for 2027

DSI is currently welcoming proposals around two new themes: The Future of Evidence in the Age of AI and The Algorithmic City.

Deadline: Sunday, September 27, 2026 (11:59 PM ET)

Eligibility: Full-time faculty, senior research scientists, and research scientists.

Learn More and Apply

The Future of Evidence in the Age of AI

AI is reshaping how evidence is produced, interpreted, and contested, making it easier to identify patterns and generate claims from large datasets while also enabling new forms of fabrication and forgery at scale. The Future of Evidence explores how these shifts challenge established ideas of authenticity, provenance, and verification, even as they expand the possibilities around new ways of knowing. This theme invites exploration into how evidence functions across fields — from science and medicine to law, journalism, history, and the arts — and how AI is transforming it. It also surfaces questions of what standards, institutions, or mechanisms can help to sustain credible knowledge while preserving openness and free expression.

The Algorithmic City

AI is increasingly shaping how cities function and how urban life is experienced—from infrastructure and services to everyday movement and interaction. The Algorithmic City examines how these systems are embedded across streets, neighborhoods, and regions, and asks how they will reshape urban life. It raises key questions about governance and accountability at different scales, the digital and physical infrastructures required to support AI-enabled systems, and how their impacts — social, environmental, and economic — will be managed. The theme also explores how data is collected, shared, and contested across public and private actors, and how civic AI can be designed to reflect democratic values, including the role of citizens in shaping and challenging algorithmic decision-making.