Applications Due: Monday, October 23
Form closes at 11:59 PM ET
Undergraduates: Submit your research! The fair is an opportunity to share your research interests and experiences, and to receive feedback from faculty and industry experts that can help take your project to the next level. Whether you have a research poster to present, a new startup to pitch, or a creative work to exhibit, we want your projects!
Research Fair: Thursday, November 2
5:00 PM – 8:00 PM ET
IN-PERSON at Carleton Commons, Mudd
Join us to see the most innovative undergraduate student work. The fair will exhibit projects across three thematic tracks and in a variety of formats.
About the Fair
Tracks
We will accept applications for projects across three thematic tracks. The application is open to any currently enrolled undergraduate student at Columbia or Barnard, and within any major or discipline. Students are welcome to submit projects from classes, but it is not required. We welcome projects that students may be conducting independently from courses, or independently of faculty oversight.
Create – Experiment: There are a large number of current methodologies and perspectives for analyzing interdisciplinary computer and data science problems. As computer processing evolves and data generation accelerates, new modes of thought are emerging about how to push research forward. What state-of-the-art technologies are possible thanks to these rapid technological developments? This track is focused on novel, unconventional, and/or experimental systems and tools.
Change – Iterate and Transform: Innovation creates a critical need for iteration. How can we predict and troubleshoot potential problems, and learn from the past to ensure that new technologies are produced responsibly, ethically, and with reduced embedded biases? This track is focused on projects that build upon foundational knowledge from different disciplines to change and advance how data and computer science are practiced and applied.
Converge – Applications of Computer and Data Science: Data and computer science have applications across nearly every discipline, from finance and healthcare to public policy and the social sciences. How can researchers best collaborate across disciplines? This track is focused on projects whose implementations and applications may be principally outside of the computer and data science sectors.
Research Formats
Projects will be displayed across a variety of formats, including:
· Research Posters
· Table-based Demonstrations and Visualization Projects
· Startup and Entrepreneurial Projects
· Creative Tech, VR/AR installations, and Performances
Sponsors and Partners
· Department of Statistics, Columbia University
· The Vagelos Computational Science Center, Barnard College
· Computer Science, Barnard College
View full event details with graphics here.
