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About
- - - About the Data Science Institute
      
      The Data Science Institute (DSI) executes the University of Chicago’s bold, innovative vision of Data Science as a new discipline.
  - - Jobs & Opportunities
      
      Open faculty, postdoctoral, staff, and student roles with the UChicago Data Science Institute and our partners.
    - Visiting DSI @ UChicago
    - Contact
Research
- - - Initiatives
    - AI + Science
      
      A new paradigm of transformational AI-enabled scientific discovery across the physical and biological sciences.
    - Data & Democracy
      
      Protecting democracy in the digital age through cross-disciplinary research and convening key stakeholders.
    - Internet Equity
      
      Measuring and analyzing Internet performance and reliability to address inequity in U.S. communities.
    - AICE: AI for Climate
      
      Inter-discplinary integration of AI with fundamental domain knowledge to accelerate and transform climate research with a focus on both scientific advances and societal impacts.
    - Data Ecology
      
      The goal of data ecology is to study dataflows and design interventions to control how data impacts our world.
    - Complementary AI
      
      Exploring how to train AI models that augment rather than mimic human capacity.
  - - Programs
    - Outlier Research & Evaluation
      
      A team committed to bringing equity to education with a focus on learners of all ages from groups historically underrepresented in STEM.
    - Open Spatial Lab
      
      Creating open source tools and analyses to solve problems using geospatial data science.
    - Data Science Software Development Core
      
      Providing software development and data science services across the University.
  - - Seed Funding Projects
      
      Early-stage, interdisciplinary research funded and supported by the Data Science Institute.
    - Funding Opportunities
      
      Open calls for funding for early-stage, transformative data science research.
    - Postdoctoral Programs
      
      Unique opportunities for early-career scientists who wish to advance cutting-edge data science approaches, methods, and applications in research.
Education
- - - Academic Programs
    - Undergraduate Data Science Major
      
      A curriculum combining computational and analytical skills, domain knowledge, communication skills, and ethics.
    - Master's Programs
      
      Degree-granting programs in computational analysis and public policy and applied data science.
    - PhD Program
      
      Combining training in mathematical foundations of data science, responsible data use, and advanced computational methods.
  - - Other Programs
    - Data Science Clinic
      
      An experiential project-based course where students work in teams with real-world clients from industry, academia, and social impact organizations.
    - Summer Research Programs
      
      Summer research opportunities for undergraduate students in an immersive, interdisciplinary environment.
    - Preceptors in Data Science
      
      A partnership between the University of Chicago and City Colleges of Chicago to train the next generation of data science educators.
Outreach
- - - Industry Affiliates
      
      Connecting industry partners to groundbreaking data science research, emerging technologies, and talent acquisition opportunities at UChicago.
    - 11th Hour Project Software and Data Hub
      
      Software and data science for grantees of the 11th Hour Project, which serves nonprofits in energy, food and agriculture, human rights, and marine technology.
    - Community Data Fellows
      
      Pairing students with local community organizations to leverage data and technology in service of their mission.
  - - Data Science for Social Impact Network
      
      A consortium of diverse higher education partners to broaden STEM participation and amplify social impact through data science.
    - Data4All High School Workshop
      
      A program introducing Chicago high schoolers to data science and inspiring them to consider career pathways in data science and AI.
People
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Akshat Gupta

High Schooler, Illinois Mathematics and Science Academy

Mentor: Samantha Riesenfeld

Project Title: Learning How to Identify Noisy Features from Persistent Homology

Data Science Institute
John Crerar Library Building
5730 South Ellis Avenue, Suite 150
Chicago IL 60637
data-science@uchicago.edu

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