Announcement: First Cohort of Fritz Fellows (Summer/Fall 2020)
March 11, 2020
The Tech & Society Initiative is pleased to announce its first round of recruitments to the Fritz Family Fellowship Program. Nine Fritz Family Fellows will be joining the Initiative beginning either in Summer 2020 or Academic Year 2020. Subsequent recruitment rounds will follow this spring to complete the 2020-2021 Cohort.
Fritz Fellow #1 (Sponsored by: Institute for Tech Law & Policy and Communications, Culture & Technology Graduate Program)
Project Description: The Tech Institute-CCT Fritz Summer Fellow will be a rising second or third year law student, invited to develop their own legal policy paper on a cutting edge issue in technology policy, and to contribute to the research and policy work of the Tech Institute and CCT’s faculty. Through this cross-disciplinary collaboration, the Summer Fellow will be encouraged to think beyond traditional legal frameworks to engage in broader policy questions and questions of societal impact. Likely topics include algorithmic fairness and civil rights; internet policy and competition; governance of information platforms; intellectual property and social good.
Fritz Fellow #2 (Sponsored by: Ethics Lab, Computer Science, Massive Data Institute)
Project Description: This Fritz Family Fellow will be responsible for a project involving “translational ethics”, looking at foundational values underlying research ethics that are challenged by granular, real-world context of research using social media and other organic data. Embedding with real world cases and connecting to ethical theory is crucial for progress here. The Fellow’s work will help to increase CS/Ethics connections and capacity on campus, and should be productive of future grant applications in this space. The Fellow’s work, while primarily academic, will also be used to develop a case study for future CS/Ethics classes envisioned for the new CS/Ethics Major and IDST Tech, Ethics, and Society major.
Fritz Fellow #3 (Sponsored by: Center on Privacy & Technology)
Project Description: This Fritz Family Fellow will conduct research and analysis regarding the use of surveillance and data-sharing in immigration enforcement, as well as possible policy solutions to curb surveillance and data-sharing in immigration enforcement. The Fellow may also contribute research and analysis regarding the use of face recognition technology by law enforcement agencies.
Fritz Fellow #4 (Sponsored by: McCourt School Data Science & Public Policy Program, Massive Data Institute, GU Politics, Computer Science)
Project Description: This Fritz Family Fellow will work with faculty and Fellows from MDI, GUPolitics, and Computer Science to analyze social and digital media related to the 2020 presidential campaign. MDI is engaged in an Election 2020 project which produces real time information on the state of the presidential campaign in the 2020 cycle. Analytics developed can help us understand what is happening and help the country be more reflective about the kind of discourse that is most useful for our politics. The impact of this work be twofold: to enrich the public dialogue about the campaign, and to develop analytics that will be useful to scholars producing peer-reviewed research on election outcomes.
Fritz Fellow #5 (Sponsored by: Massive Data Institute, Institute for Tech Law & Policy)
Project Description: This Fritz Family Fellow will participate in a project that leverages technology and data science to address problems in the civil justice system. Specifically, the Fellow will conduct research and analysis on court and legal services provider data collection practices, standards, and procedures. The Fellow will help the faculty research leads gather data infrastructure requirements to design a “civil justice data commons” to share data from state courts, administrative agencies, and legal service providers to improve our understanding of how people interact with the civil justice system, and how the justice system can be improved.
Fritz Fellow #6 (Sponsored by: Center for Security & Emerging Technology, Computer Science)
Project Description: This Fritz Family Fellow will contribute right away to CSET’s CyberAI project by producing a cross-disciplinary research paper in collaboration with Computer Science on the ways in which AI can change offensive and defensive cyber operations and thus shape geopolitics.
Fritz Fellow #7 (Sponsored by: Massive Data Institute, Computer Science)
Project Description: This Fritz Family Fellow will focus on public policy and social science applications of privacy and fairness in machine learning. This is a new area of research for MDI and Computer Science, and having a postdoc with a strong understanding of the theoretical and applied issues will be important for making this a new pillar of interdisciplinary research at GU.
Fritz Fellow #8 (Sponsored by: Institute for Tech Law & Policy and Communications, Culture & Technology Graduate Program)
Project Description: The Institute for Tech Law & Policy (Law Center) and the Communications, Culture & Technology graduate program (Main Campus) are eager to collaborate on research, advocacy, and teaching. This Fritz Family Fellow will conduct cross-disciplinary privacy research that bridges across faculty in the two programs, producing scholarship that integrates legal expertise and cultural studies. The Fellow also will pioneer a new effort to integrate technical expertise into tech law clinics, which research cutting edge issues and conduct advocacy before federal agencies and courts on issues such as privacy, surveillance, algorithmic fairness, and intellectual property.
Fritz Fellow #9 (Sponsored by: Ethics Lab and Communications, Culture & Technology Graduate Program
Project Description: This Fritz Family Fellow will produce research on new challenges posed by human interactions with social robots, which are increasingly being used to educate children, offer companionship for the elderly, and provide elementary forms of psychotherapy. These developments raise urgent ethical and social questions, including subtle forms of manipulation; data collection in intimate settings that threatens privacy; and changing conceptions of meaningful social relationships. This Fellow’s project will bring together ethics, cultural theory, and psychology to develop novel empirical and ethical understandings of social robots and their place in human society.