Application Details

Application Deadline: Monday, October 23 (11:59 PM)
Notice of Acceptance: by Friday, October 27
Event Date:
Thursday, November 2, 2023 (5:00 PM - 8:00 PM)

Information

Tracks: We will accept applications for projects across three thematic tracks. The application will ask you which track you feel your research best fits. You may select more than one option. Learn more about tracks here.

  • Create - Experimental Research

  • Change - Iterate and Transform

  • Converge - Applications of Data and Computer Science

Eligibility: 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.

Presentation Format: Applicants must specify a presentation format. Format details are included below.

Info Session: Applicants can attend our info session on Wednesday, October 18 to learn more about the application and ask any questions. Register to attend here.

Presentation Formats

Benefits of Applying

Participation will be of great benefit to students who want to make connections and take full advantage of data science and computer science communities across Columbia and Barnard.

Networking and Feedback: Showcasing your project will provide the opportunity for invaluable, tangible feedback from industry experts and senior faculty members. This feedback opens the door for collaboration, and the potential to unlock new ideas and take your project to the next level.

Prizes: We plan to have judges at the fair to evaluate your work. Prizes will be issued to the top projects. More details about prizes will be shared with you closer to the date of the event.

FAQ’s

  • We will assign a space that best fits your work. Posters will be given an easel for display. Demos and startups will have a standard 6-foot table. Depending on the volume of applications, you may be asked to share a table with another team.

  • As part of your acceptance email, you will receive a link to register as an exhibitor. Before the event, you will receive a second email with the event floor plan, including your setup number and area. The floor plan will be available on-site at the event to help you find your area.

  • If your project is accepted, you will receive a code to register as an exhibitor on the Eventbrite page. You MUST register as an exhibitor yourself using this code to confirm your participation. This code, and a deadline to register, will be included in your acceptance email.

  • We welcome works in progress and early ideas of new research. You will receive great feedback from other event participants, which you can use to grow your idea.

  • You are welcome to submit projects you have done in your classes, but it is not required. We welcome projects that you may be conducting independently away from your courses, or independent of faculty oversight.

  • We will work with you to find the best space for your project at the research fair. If your project is accepted, we will reach back out to you to discuss your specific space needs. Given the limited space at the venue, you may be asked to remain flexible regarding space.

  • Yes! We welcome both individually created projects and projects that were created as a team.

Please send any other questions to: datascience@columbia.edu