• AI and Social Movements

    AI and Social Movements

    Project lead: Lauren Klein (Emory, Departments of Quantitative Theory & Methods and English)

    Contributing faculty: Sandeep Soni (Emory, Department of Quantitative Theory & Methods)

    Project team: Dani Roytburg (Emory, BA ’25, Computer Science and Quantitative Social Sciences), Debbie Olorunisola (Yale, BA ’26 Statistics and Data Science), Dez Miller (Emory, Ph.D. ’26, Comparative Literature), Ololade Faniyi (Emory, Ph.D. ’28, Women’s, Gender and Sexuality Studies)

    How do ideas move from margin to center? Who are the people behind those ideas? Can machine learning methods help to credit them for their important work? Using #StopCopCity and #BlackLivesMatter as case studies, we explore the uses–and, crucially, the limits–of AI for the study of social movements.

  • Public Interest AI

    Public Interest AI

    Project lead: Brandeis Marshall (DataEdX)

    Project team: Jhoie (Joy) Victor

    Our Public Interest AI project examines and critiques the interlocking historical, social, political, and technical aspects of the city’s data quality management in relation to the Atlanta Beltline Project. The Atlanta Beltline is a “network public parks, multi-use trails, transit, and affordable housing along a historic 22-mile railroad corridor”. We will evaluate output requirements used in decision-making and policy creation to contextualize these aspects across race and gender demographics, especially in the southwest region of the city. Community-based workshops will interweave history and culture in order to reveal the people behind the datapoints. Policymakers, local organizations, Atlanta’s Beltline personnel, and metro Atlanta educators and administrators, are encouraged to help us co-create these data/AI literacy workshops, inform public interest research directions and shape an inclusive data/AI future for the city of Atlanta.

  • AIAI Data Collective

    AIAI Data Collective

    Project lead: Dan Sinykin (Emory, Department of English)

    Project team: Nia Judelson (Emory, Ph.D. ’26, English), Em Nordling (Emory, Ph.D. ’26, English)

    Artificial Intelligence is powered by data. When that data is private and opaque, as it is in the AI initiatives at major tech companies, we are prevented from knowing the full ethical and political implications of the resulting AI. The AIAI Data Collective is a new project dedicated to modeling transparent and ethical AI data collection, documentation, storage, and sharing. We will complete an environmental scan and literature review to produce a white paper on the state of AI data. From that white paper, we will produce a set of best practices for AI data. We will build a website to house and share potential AI training data according to these best practices, modeling what ethical AI data looks like.

  • Atlanta Studies + AI

    Atlanta Studies + AI

    Project Lead: Ben Miller (Emory, Department of English)

    Project team: Roy Chang (Emory, Quantitative Theory and Methods), Ra’Niqua Lee (Emory, English), and the Atlanta Studies Editorial Board

    Over a two-year period, Atlanta Studies looks to publish short and long-form perspectives on how data science, machine learning, and AI shape decisions, policies, and the built environment of Atlanta. These posts can include autobiographical stories of encounters with algorithmic decision making in Atlanta, compelling new infographics and data-driven storytelling, research-driven, empirical, critical frameworks of AI’s influence on the city, and more. Submissions of blog posts of 500–1,500 words and articles of up to 5,000 words should be sent to the Atlanta Studies editors at

    Atlanta Studies also looks to provide a venue for these conversations at its annual Atlanta Studies Symposium. Taking place each spring, the symposium provides a forum for the community, policy makers, non-profits, and academics to come together and discuss topics related to the histories, planning, and possible futures of Atlanta and the region. Look for an official call for papers later this fall at