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Data Institute for Societal Challenges

abstract digital waves

 

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.

Read our 2024-2029 Strategic Plan

2024-2029 Strategic Plan Download (PDF)
Data Institute for Societal Challenges

FY25 Research Highlights

Research Seed Funding Awarded

$64,300.00

Awarded

9

Research Teams

14

OU Researchers


Affiliate Research Proposals & Awards

59

Proposals Submitted

$73,536,816

Submitted Proposal Funding

10

Proposals Awarded

$2,031,883

Awarded


OU Community Engagement

380

DISC Members

186 Faculty | 147 Students | 19 Staff | 28 Postdocs

568

DISC Affiliates

286 Faculty | 182 Students | 32 Staff | 28 Postdocs

Communities of Practice

14

Communities of Practice

Bioinformatics

Brain & Behavior

Community Engagement

Digital Humanities

Environmental Systems Science

Machine Learning & Big Data in the Social Sciences

Neuroscience & Neurosurgery

Opioid Research

Supply Chain 

 3D Workflow

Business & Economics 

Hydrology

Human-Centered Trustable AI

Machine Learning X Supercomputing

Research Team
Development Activities

16

Total Workshops Co-Hosted

488

Cumulative Workshop Attendance


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