Undergraduate Computer and Data Science Research Fair
Thursday, November 2, 2023 (5:00 PM - 8:00 PM) - Carleton Commons, Mudd
Create | Change | Converge
Congratulations to the talented undergraduate researchers who won prizes.
Full List of 2023 Exhibitors →
2023 Prize Winners
Best in Create Track
Daniel Ben-Levi | Effective English Language Learner Tutoring with Language Models
Best in Change Track
Rahi Mitra | Development of an Automated Pre-Processing Method for Feature Identification in Carotid Arterial Wall Motion Waveforms: A Feasibility Study In Vivo
Best in Converge Track
Lucy King | Investigating the Impact of Early Life Stress on Spontaneous Alternation Tasks in Mice: A Quantitative Approach
Best Use of Statistical Innovations
Kevin Jiang | OpenDataVal: a Unified Benchmark for Data Valuation
Best Overall Project
Angel Cui | Safe and Reliable Medical Records: Assessing the Robustness of openEMR
Returning for its second year, the fair will exhibit 25+ original research projects being conducted by undergraduate students across Columbia and Barnard. The projects on display cut across many disciplines and domains, including economics, biology, health, humanities, linguistics, music, architecture, and the sciences. Join us to explore how data and computer science is shaping the future.
Hosted By
The Data, Media and Society Center at the Data Science Institute, Columbia University
Questions? Contact us here, or email datascience@columbia.edu
Tracks
This year's fair is inspired by the way that interdisciplinary research brings together ideas from different fields to generate new insights and perspectives. This is expressed in the three themes — Create, Change, and Converge — which highlight the full lifecycle of scientific research from initial idea to iteration and implementation across diverse domains. Student projects will be organized across these three tracks.
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.
Create
— Experiment
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.
Change
— Iterate & Transform
Converge
— Applications of Data & Computer 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.
Presentation
Formats
The research fair accepted a range of projects and formats, including:
1. Research Posters
2. Table based Demonstrations and Visualization Projects
3. Startup and Entrepreneurial Projects
4. Creative Tech, VR/AR installations, and Performances
Support the next generation of data and computer scientists!
Sponsorship
Your sponsorship will help provide educational experiences to undergraduates at Columbia. Funds raised will be used towards organizing the fair, issuing special prizes for student exhibitors, and the development of special events on data science, media, and technology.
Sponsorship Levels
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Partner | $500
Logo placement. Partners will have their logo placed on the fair website, in marketing to students, and on digital signage throughout the fair.
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Sponsor | $1,000
A booth at the fair! Sponsoring is the best way to meet with undergraduate students on site at the fair, recruit new talent to your organization, and spread your message.
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Benefactor | $1,500+
Gain stage time. Sponsors at this level will have dedicated time to present to students during the fair. Benefactors can share company highlights, job and internship opportunities, or anything else!
2023 Sponsors and Partners
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Department of Statistics, Columbia University
SPONSOR
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The Vagelos Computational Science Center, Barnard College
PARTNER
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Computer Science, Barnard College
PARTNER
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Columbia Data Science Society
PARTNERED STUDENT GROUP
Complimentary Sponsorship Benefits for DSI Industry Affiliates
Representatives from DSI Industry Affiliate companies will automatically receive sponsorship benefits. Reach out to us at datascience@columbia.edu to inquire about registration, recruiting, and exhibitor opportunities.
DSI Industry Affiliate Companies
2023 Organizers
Undergraduate Organizing Committee
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Christine Li
Sophomore, Computer Science, Columbia Engineering
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Veronica Hodapp
Junior, Computer Science, Columbia College
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Sunny Fang
Junior, Data Science, Barnard College
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Theodore Nelson
Senior, Computer Science, Columbia College
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Audrey Acken
Sophomore, Computer Science, Columbia Engineering
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Daniel Manjarrez
Sophomore, Computer Science, Columbia Engineering
Faculty & Administration
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Susan McGregor
Associate Research Scholar, The Data Science Institute; Co-Chair, DSI Data, Media and Society Center
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Alexis Avedisian
Assistant Director of Events and Special Programs, The Data Science Institute