Our world is creating massive amounts of data through cellphones, sensors, videos, automation, and simulation. These data have enormous potential to transform our lives and help in solving our greatest societal challenges. The Data Institute for Societal Challenges (DISC) will create innovative advances in data science, artificial intelligence, machine learning, and real-world applications. We will develop and grow convergent research teams focused on solutions for local to global challenges implementing foundational data science and data-enabled research.
At DISC, we strive to facilitate and empower collaboration between research teams and partners. We encourage you to explore and get involved with one of our many innovative Communities of Practice. You can also add your name to our Membership Directory to lend your expertise to other researchers if needed and be included in exclusive member-only workshops and events.
$0
Awarded
0
Research Teams
0
OU Researchers
27
Proposals Submitted
$43,996,043
Submitted Proposal Funding
8
Proposals Awarded
$4,361,569
Awarded
356
DISC Members
173 Faculty | 138 Students | 19 Staff | 26 Postdocs
520
DISC Affiliates
268 Faculty | 165 Students | 29 Staff | 24 Postdocs
12
Communities of Practice
Bioinformatics
Brain & Behavior
Community Engagement
Digital Humanities
Environmental Systems Science
Machine Learning & Big Data in the Social Sciences
Neuroscience
Opioid Research
Supply Chain
3D Workflow
Business & Economics
Hydrology
3
Total Workshops Co-Hosted
94
Cumulative Workshop Attendance
April 29, 2024
The University of Oklahoma has received a nearly $4 million congressional appropriation for supply chain risk management research from the 448th Supply Chain Management Wing of the U.S. Air Force Sustainment Center.
July 23, 2024
The University of Oklahoma, through its Data Institute for Societal Challenges, has signed a memorandum of understanding with the College of Liberal Arts and Convergence Science at the Korea Advanced Institute of Science and Technology to facilitate long-term data science collaboration.
