Artificial Intelligence and Social Work

Social justice meets AI.

Abstracts Currently Under Review

Our ShowCAIS organizing committee is currently reviewing the numerous abstracts we received. Please check your inboxes on Friday, February 21st for acceptance decisions.

In the meantime, more information about ShowCAIS 2025 can be found here.

Want to know what ShowCAIS is all about? Read about last year’s event here, or watch the oral presentations via our YouTube channel below. Over 80 presentations representing 9 USC schools showcased student and faculty projects addressing social justice using AI.

Meet Our Leadership

Bistra Dilkina
(Director)
Computer Science
Areas: Combinatorial Optimizations, Machine Learning, Sustainable Development

Eric Rice
(Director)
Social Work
Areas: Network Science, Community-based Research, Homelessness

Phebe Vayanos
(Director)
Industrial & Systems Engineering
Areas: Robustness, Interpretability, and Fairness, Public Policy, Homelessness

Ajitesh Srivastava
(Associate Director)
Electrical and Computer Engineering
Areas: Graph Machine Learning, Mathematical Modeling, Public Health

Swabha Swayamdipta
(Associate Director)
Computer Science
Areas: Natural Language Processing, Interpretability, Biases

Lindsay Young
(Associate Director)
Communication
Areas: Network Science, Digital Epidemiology, Health Disparities

Meet the 2024/2025 CAIS++ Co-Presidents

Jessica Fu and Raja Somou discuss their responsibilities as CAIS++ co-presidents, their typical days, and how they are using AI for social good.

Read about Jessica here and Raja here.

Exploring the Future of Infectious Disease Modeling

The annual Scenario Modeling Hub (SMH) annual meeting occurred in September at USC, hosted by USC CAIS Associate Director Ajitesh Srivastava.

Information about the event.

USC CAIS Bonding in Pasadena

With the start of the new year, USC CAIS student leaders John Bunyi, Hannah Murray, and Jaspreet Ranjit planned a fun night out for CAIS students to meet each other and play games.

Full write up here.

Become a USC CAIS partner through community projects, funding, volunteering, or research collaboration.

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