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.
$12,500
Awarded
2
Research Teams
5
OU Researchers
15
Proposals Submitted
$10,928,633
Submitted Proposal Funding
6
Proposals Awarded
$4,667,682
Awarded
246
DISC Members
136 Faculty | 84 Students | 15 Staff | 11 Postdocs
388
DISC Affiliates
225 Faculty | 135 Students | 18 Staff | 9 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
12
Total Workshops Co-Hosted
187
Cumulative Workshop Attendance
September 08, 2023
Extreme weather events, like those impacting millions of Americans this summer, threaten public safety, destabilize supply chains and damage vital infrastructure. Researchers from the University of Oklahoma and the Los Alamos National Laboratory have been awarded a grant from the U.S. Department of Energy to explore and simulate the atmospheric processes that lead to heatwaves, heavy precipitation, droughts and other potentially catastrophic weather events.
August 02, 2023
