Undergraduate Computer and Data Science Research Fair 2024

Student Application Deadline: Tuesday, November 12 (5:00 PM ET)

Event Date: Thursday, November 21 (5:00 PM – 7:30 PM) | Mudd Building, 4th Floor | Carleton Commons & DSI Suite

Artificial and human intelligence are increasingly interconnected across a broad range of fields, reshaping our world in profound ways. Whether in climate science, healthcare, the arts, engineering, or social sciences, new advances in technology are expanding the limits of what’s possible. Together, these intelligences are creating a future where human intuition and computational innovation are co-evolving, complementing and amplifying one another. As we embrace this collaboration, we stand on the brink of new breakthroughs that have the potential to redefine what humanity can accomplish.

The 2024 Columbia-Barnard Undergraduate Computer and Data Science Research Fair will focus on showcasing how students are leveraging artificial and human intelligence to drive real-world impact and explore new possibilities. This event will celebrate the innovative spirit of the next generation of scholars and technologists who are shaping the future.

Hosted by: Data, Media and Society Center at the Data Science Institute, Columbia University

Organizing Committee: Audrey Acken, Junior, SEAS; Ann Chengying Li, Sophomore, SEAS; Alexa Kafka, Sophomore, Barnard College; Christine Li, Junior, SEAS; Daniel Alejandro Manjarrez, Junior, SEAS; Jaeyi Song, Freshman, SEAS; Shayan Chowdhury, Junior, General Studies; Sunny Fang, Senior, Barnard College

2024 Thematic Tracks

Interdisciplinary Applications: How are data science, computer science, and/or AI leveraged in interdisciplinary ways? This track will showcase current applications and critiques of technology and their real-world impact in a range of sectors. 

Foundations and Innovations in Technology: What are the latest technical advancements in data science, computer science, and AI at a foundational level? This track is for projects focusing on core technological developments, such as algorithms, models, data structures, and coding methodologies that are driving new approaches.

Ideas for the Future: How will data science, computer science, and AI be used in the years ahead? This track is for projects that imagine transformative uses of technology and address the opportunities and challenges of tomorrow.