Directory

Johan is a first year PhD student in the Department of Information Science. His research investigates field robotic systems within their contexts, looking at how decisions in robot design influence wider systems robots exist within. Johan holds degrees in Computer Science (BS, MS) and Philosophy (BA) from the University of Washington (UW). He was previously a Researcher at the 3A Institute within the School of Cybernetics at the Australian National University, and helped establish the undergraduate computer ethics curriculum at the Paul G. Allen School at UW.

Areas of Interest: Design, Robotics, Cyber-Physical Systems, Cybernetics, Human-Robot Interaction

 

Katherine is an Information Science PhD student working with Professor Gili Vidan. She explore themes of trust, authenticity, and meaning-making in technology-mediated interactions and experiences. Her research interests include themes of (dis)trust in digital technology, virtual/augmented reality, technology-aided art, and human-computer interactions. Before coming to Cornell, she completed my BA in Sociology at Princeton University and my MPhil in Digital Humanities at Trinity College Dublin.

Areas of Interest: (Dis)trust in digital technology, virtual/augmented reality, technology-aided art, and human-computer interactions.
 

Dibyendu's interests encompass critically examining emerging technologies for issues around social justice, citizen-state relations and the future of work. He further seeks to design contextually appropriate interventions to address some of these issues. Dibyendu has a bachelor's degree in computer science and worked as a software developer and data scientist, both in the public and private sectors, prior to joining Cornell.

Areas of Interest: Public Interest Technologies, ICTD, HCI, Critical Information Studies, Social Justice

Pegah Moradi is a PhD candidate in Information Science studying the social and organizational dimensions of digital automation, with a particular interest in work and workers. Her dissertation research focuses on how self-checkout and automated surveillance impact frontline retail work.

Pegah's work is supported by the NSF GRFP, Microsoft Research, the Siegel Public-Interest Technology Fellowship, and the MacArthur Foundation (through the Cornell AI, Policy, and Practice Initiative). Before starting her PhD, she received her B.A. in the interdisciplinary College Scholar program at Cornell and worked as a Project Manager for an enterprise software company in Washington, D.C.

Areas of Interest: Automation, Work and Labor, Digital Economy, Surveillance and Privacy, Policy
 

Ph.D. Candidate in the Department of Information Science at Cornell University and Cornell Tech. As a qualitative researcher working at the intersection of tech entrepreneurship, platform studies, and the impact of computing technologies, she explores individual, institutional, and philanthropic approaches to fostering tech entrepreneurialism within marginalized communities, noting their lack of representation in global startup culture. Her work informs and supports the development of tech-enabled, entrepreneurial infrastructures and ecosystems that facilitate restorative economic justice for structurally exploited populations. 

Daniel is a PhD student in Information Science. His primary interests lie in the areas of sociotechnical systems and their governance. In particular, he is interested in infrastructures that mediate access – and transactions – in public and private spaces.

Areas of Interest: Science and Technology Studies (STS), Data and AI Governance, Human-Computer Interaction (HCI), Information and Communications Technologies for Development (ICT4D)

Ph.D. student advised by Dr. Aditya Vashistha. Broadly, her goal is to contribute to responsible AI systems. Currently thinking about and working on: (1) developing robust methods and benchmarks for the sociotechnical evaluation of LLMs; (2) critically assessing the validity, design assumptions, and limitations of existing model evaluations; and (3) applying insights from (1) and (2) to evaluate the downstream impacts of AI systems across diverse social contexts. Previously, she was a UX researcher at Coinbase and Uber. Before that, studied HCI at the University of Washington.

Areas of Interest: Human-AI collaboration, Misinformation, Content Moderation, ICTD