Collaborating with communities for a more just, healthy, and sustainable world.


ShowCAIS 2024 Abstract Submission Now Open


Submit your 500-word unstructured abstract for a poster or oral presentation at ShowCAIS.  The presentation can focus on new work, or work that was recently presented or submitted to a conference.  Social science based abstracts can include quantitative, qualitative, or mixed methods studies.

We are most excited about projects that involve both engineering (e.g., computer science, operations research, data science) and social/environmental disciplines  (e.g., social work, public health, public policy, climate).  We also welcome abstracts that are primarily set in one discipline with implications for the other.  For example, technical abstracts should have social good applications; social/environmental papers should discuss opportunities for AI work.

Deadline is February 16, 2024 at 5 p.m. PT.


Meet Our Leadership

Bistra Dilkina

Computer Science
Areas: Combinatorial Optimizations, Machine Learning, Sustainable Development

Eric Rice

Social Work
Areas: Network Science, Community-based Research, Homelessness

Phebe Vayanos

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)

Areas: Network Science, Digital Epidemiology, Health Disparities 


Our primary goal in this center is to share our ideas about how AI can be used to tackle the most difficult societal problems. We believe that this agenda can best be achieved by a genuine partnership between AI and social work.

USC CAIS Statement on
Diversity, Equity, and Inclusion


Diversity, Equity, and Inclusion (DEI) are highly valued principles at the USC Center for AI in Society (CAIS) and are critical to our pursuit of academic excellence.  In particular, we aim to encourage a culture in which every member of CAIS feels valued, supported and inspired to achieve individual and common goals, no matter his/her/their race, ethnicity, gender identity, sexual orientation, religion, nationality, immigration status, age, disability status, class, economic background, education, color, family structure, background, experience, or beliefs. This includes providing opportunity and access for persons in engineering and social work from historically under-represented or underserved groups.  We recognize the need for research centers like CAIS to not only take a stance on critical social issues, but also to actively engage in dialogue and action on these issues.



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