The Data Science Institute (DSI) executes the University of Chicago’s bold, innovative vision of Data Science as a new discipline.
Open faculty, postdoctoral, staff, and student roles with the UChicago Data Science Institute and our partners.
A new paradigm of transformational AI-enabled scientific discovery across the physical and biological sciences.
Protecting democracy in the digital age through cross-disciplinary research and convening key stakeholders.
Measuring and analyzing Internet performance and reliability to address inequity in U.S. communities.
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.
The goal of data ecology is to study dataflows and design interventions to control how data impacts our world.
Exploring how to train AI models that augment rather than mimic human capacity.
A team committed to bringing equity to education with a focus on learners of all ages from groups historically underrepresented in STEM.
Creating open source tools and analyses to solve problems using geospatial data science.
Providing software development and data science services across the University.
Early-stage, interdisciplinary research funded and supported by the Data Science Institute.
Open calls for funding for early-stage, transformative data science research.
Unique opportunities for early-career scientists who wish to advance cutting-edge data science approaches, methods, and applications in research.
A curriculum combining computational and analytical skills, domain knowledge, communication skills, and ethics.
Degree-granting programs in computational analysis and public policy and applied data science.
Combining training in mathematical foundations of data science, responsible data use, and advanced computational methods.
An experiential project-based course where students work in teams with real-world clients from industry, academia, and social impact organizations.
Summer research opportunities for undergraduate students in an immersive, interdisciplinary environment.
A partnership between the University of Chicago and City Colleges of Chicago to train the next generation of data science educators.
Connecting industry partners to groundbreaking data science research, emerging technologies, and talent acquisition opportunities at UChicago.
Software and data science for grantees of the 11th Hour Project, which serves nonprofits in energy, food and agriculture, human rights, and marine technology.
Pairing students with local community organizations to leverage data and technology in service of their mission.
A consortium of diverse higher education partners to broaden STEM participation and amplify social impact through data science.
A program introducing Chicago high schoolers to data science and inspiring them to consider career pathways in data science and AI.
Mentors: Daniel Grzenda & David Uminsky
Project Title: Social Impact Track – PalmWatch
