"Take your image descriptions to the next level. This session explores practical strategies for describing complex visuals -- such as graphs, conceptual diagrams, and multi-layered infographics -- so that all learners can access the content they convey. We'll also discuss how AI-generated descriptions can support this work, and when they fall short."

The 2025 Idea & Innovation Challenge Submission Deadline is TODAY!

All submissions are due by 1PM today, October 10th. Don't miss your chance to participate in this year's challenge and compete for cash prizes up to $1,100! 

This year's Idea & Innovation Challenge invites students to compete in three tracks: Technology & Innovation, Social Impact, and the Spark Track (We provide the topic — you bring the solution!)

The 2025 Spark Track topic is to reimagine the future of social media. Your mission is to design a platform that's just as engaging and viral as today's apps, but built to uplift, connect, and inspire.

Submit your idea in any of our 3 tracks by 1PM today, October 10th, for the chance to compete in the final event on November 20th. Don't wait—turn your ideas into impact (and cash)!

Click here to submit your idea! 

SEE YA THERE!

For tech-savvy individuals like Eric Stokan, artificial intelligence, programming languages, and open-source software are powerful tools that can turn once-impossible ideas into reality. Researchers can use human language processing to analyze historical documents or legal texts. Through collaborative platforms, global organizations can collaborate quickly without incurring travel costs. In the social sciences, open-source tools provide students with unique opportunities to work with experts developing projects that address community needs. However, to take full advantage of these revolutionary technologies, these tools often require advanced computing skills or access to expensive software, which can limit their impact and exclude those without the necessary resources or training.

Stokan, director of the Center for Social Science Scholarship (CS3), is committed to removing these barriers for faculty and students in computational social science, which uses computers, data, and algorithms to study human behavior and social systems. His research lies at the intersection of urban policy, economic development, and computational social science, with a focus on how local governments make policy decisions and how those decisions impact equity, economic growth, and environmental sustainability. 

The University System of Maryland (USM) William E. Kirwan Center for Academic Innovation has awarded Stokan the Elkins Professorship for Academic Transformation to address this gap with his project “Computational Social Science and Generative AI: Scalable, Modular Training for Teaching, Research, and Public Impact.”

The Elkins Professorship is named after Wilson H. Elkins, a former Rhodes Scholar and president of the University of Maryland, College Park from 1954 to 1978. This prestigious award is for faculty within USM who are working on innovative projects focused on the use of generative AI to advance academic transformation, foster improvements in access, affordability, quality of outcomes, and/or stewardship of people’s time, money, and other scarce resources.

“The professorship will allow me, through the Center for Social Science Scholarship, to first assist faculty and students in understanding how to leverage advances in computing and AI to address new research questions and scale their research in ways that were unfathomable during Dr. Elkins tenure,” says Stokan, associate professor of political science, who earned one of three $10,000 awards. He will use the funding to complete Computational Public Administration—his first book written with R, a free programming language used for statistical computing and graphics—about computational social science methods focused on addressing public policy and administration topics, such as climate change and economic development. 

The funding will also support the design and implementation of five hands-on training modules and workshops tailored for faculty, students, and community organizations. Participants will learn to use generative AI large language models (LLM) like ChatGPT and R. The goal is to help participants answer novel and important research questions, develop marketable technical skills, to work more effectively with data, and better communicate the results of their analyses with the broader community.

“I am deeply honored to receive the Elkins Professorship, in honor of the late Wilson H. Elkins, who was a transformational leader, administrator, and educator,” says Stokan. “This award is important to me because it not only provides support but also affirms my commitment to accommodating learners at all levels of experience in computational social sciences, promoting accessibility, equity, and methodological transparency.”

Initial support for the project came from the UMBC’s Faculty Development Center, the AOK Library’s Digital Scholarship Services, iHARP/Data Science Scholars, and the Institute for Public Leadership at the University of Maryland, College Park.

The workshops will be offered through CS3 in collaboration with CGC-SCIPE, the UMBC Division of Information Technology, and ScaleS. A lecture series component, which will include external speakers, is being co-sponsored with the Department of English, the Department of Sociology, Anthropology, and Public Health, and the Department of Modern Languages, Linguistics, and Intercultural Communications. 

Register for the fall semester’s workshop series on AI, LLMs, and computational methods.