SCS DEI Seminar

  • Remote Access - Zoom and Simulcast
  • Virtual Panel - ET
  • Panel Discussion: Promoting Justice and Equity in Computer Science
Seminars

A panel illustrating a few of the DEI activities and research of SCS Ph.D. students.

Moderator:

  • Judeth Oden Choi, Ph.D. Student, Human-Computer Interaction Institute, School of Computer Science

Judeth is a PhD student at the Human-Computer Interaction Institute at Carnegie Mellon University. Using a mixed-methods approach, she researches social justice activism on Twitter. Drawing from her background in theatre, she applies a dramaturgical lens to investigate the relationship between on-the-ground movement processes and networked protest. Her research interests also include theatre-based design methods, and playtesting methods for game and experience design.

Joined by Panelists:

Erica Principe Cruz is an ARCS Scholar and PhD Student in the Human-Computer Interaction Institute at Carnegie Mellon University, where she studies how digital games and immersive technology experiences can be designed to empower marginalized communities. She investigates computer-mediated play as a potential tool for practicing playful resistance as personal methods of combating oppression. Erica also studies how countercultures and counterspaces within academic research can be designed to support the joy and rest of her communities.

  • Priya Donti, Ph.D. Student, Computer Science Department and Department of Engineering and Public Policy

Priya Donti is a PhD student in Computer Science and Public Policy at Carnegie Mellon University, and a U.S. Department of Energy Computational Science Graduate Fellow. She is also a co-founder and chair of Climate Change AI, an initiative to catalyze impactful work in climate change and machine learning. Her work lies at the intersection of machine learning, electric power systems, and climate change mitigation. Specifically, her research explores ways to incorporate domain knowledge (such as power system physics) into machine learning models.

Bailey is a PhD student in the Computer Science Department theory group at Carnegie Mellon University. In her research, she studies social and democratic systems through lenses of fairness, equity, and social welfare. She co-founded and now leads the development of a course designed to teach STEM PhD students about privilege, bias, allyship, and inclusion. In her spare time, she likes to read novels and do experimental cooking. Her focus for this panel will be teaching anti-bias in a mandatory setting.

Joshua is a PhD student in the Computer Science Department at Carnegie Mellon University.  His research area focuses on machine learning and its social impact. Primarily, he is interested in understanding the long-term social ramifications of data-driven decision systems, especially as they relate to the criminal justice system. Joshua is  currently funded throuJgh the Ford Foundation Pre-Doctoral Fellowship. His focus for this panel will be on the need for community engagement in AI research

The School of Computer Science has launched a seminar series focusing on the impact of issues surrounding diversity, equity and inclusion in computer science. During the spring 2021 semester, we  are exploring such topics as broadening participation and access in computing and STEM, ethics and bias in AI, and justice and health as they relate to computer science. The series will feature speakers from academia, nonprofits and government to provide a broad perspective.

Talks will be simulcast and available to all, and will be recorded for later viewing.

 Zoom Participation. See announcement →  CMU Community - interactive  |  Panopto Simulcast → Open to all.

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