From: "Wagner, Caroline" <>
Date: August 12, 2022 at 5:07:34 PM EDT
Subject: Message:  Open faculty position in information technology and public policy

Thrilled to announce a new, open rank Tenure-Track Faculty Position: Artificial Intelligence, Data, and Public Governance

The John Glenn College of Public Affairs at The Ohio State University seeks a scholar and teacher whose interdisciplinary work explores how existing and emerging information technologies can serve or undermine the public interest, and whether or how they should be governed. This position focuses on the use of data in management and policy making, as well as the governance of data and data use. Both public and private sector organizations increasingly use data, data science, AI, and other emerging technologies to inform their operations and decisions. This development can enable greater access, agility, responsiveness, and insight. But it also poses threats to privacy, fairness, equity, and accountability and can give rise to unintended consequences. Realizing the benefits, and addressing the threats, requires rethinking governance, management, law, and policy. This faculty member, working at the frontier of public interest technology and science/technology policy, will join the Translational Data Analytics Institute (TDAI) and will enhance the Ohio State University’s major investments in information technology, digital trust and cybersecurity, AI/machine learning, and data governance.

The position begins Fall, 2023. Salary will be commensurate with the candidate’s experience and qualifications. Applicants must have completed, or be nearing completion, of all Ph.D. degree requirements. Successful candidates will have doctorates in a relevant field such as public policy and public affairs, government, law, ethics, computer science or engineering, systems engineering, information management systems, or technology in society. Highly desirable candidates will have a strong potential for developing a successful research portfolio, practical experience, potential for high quality teaching, evidence of interest, capacity, and/or experience in helping to address the challenges that affect our community, potential to engage diversity topics in the classroom and mentor under-represented minorities, potential to engage and strengthen John Glenn College relationships with University, local, or professional communities, and the potential to obtain research funding.

Application Instructions

Applications will be evaluated as they are received and will be accepted until the position is filled. Applications received by September 5, 2022, are guaranteed full consideration. To apply, please submit a letter of application, curriculum vitae, writing sample, and three professional reference letters to OSU’s portal. Questions may be addressed to the search chair, David Landsbergen, at To build a diverse workforce, Ohio State encourages applications from individuals with disabilities, minorities, veterans, and women. Ohio State is an EEO/AA employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.

About Glenn College, Translational Data Analytics Institute, and Ohio State University The John Glenn College of Public Affairs was recently ranked 20th overall among other graduate public affairs programs in in the U.S. The Ohio State University is ranked 7th in public administration out of 200 universities internationally according to the Shanghai Ranking. Our curricular offerings include the NASPAA-accredited Master of Public Administration and In-Career Master of Arts in Public Policy and Management; online Master of Public Administration and Leadership; dual master’s degrees with Law, City and Regional Planning, Public Health, Environment and Natural Resources, Social Work, Business Administration, Agricultural, Environmental and Development Economics, Slavic and East European Studies, and Latin American Studies; a joint degree in Arts Policy and Administration; a Ph.D. in Public Policy and Management; a B.A. in Public Management, Leadership, and Policy; a B.S. in Public Policy Analysis, and a variety of undergraduate and graduate minors including nonprofit management. The College also offers a wide array of management and leadership training seminars, programs, and certificates, serving over 2,000 mid-career professionals each year.

The Translational Data Analytics Institute is a foundational component of The Ohio State University’s Discovery Themes Initiative. Membership in TDAI provides an exceptional environment for cross-college interdisciplinary and external collaborations. Our 250+ faculty affiliates are part of an active community of scientists representing all 15 colleges and more than 60 disciplines who work on developing programs, resources and collaborative projects that span the traditional academic disciplines. TDAI affiliated faculty are connected to a vast network of existing and developing shared resources including datasets and databases and robust opportunities to test new technologies and platforms through external partnerships (i.e., Ohio Supercomputer Center, Aruba Networks/HPE, Amazon Web Services, among others). TDAI supports a virtual research data infrastructure connecting users for sharing datasets, knowledge, and software; and maximization of a cloud-based environment to integrate, develop and incorporate workflow specifications compliant with the FAIR process. In 2018 TDAI opened a 21,000 sq. ft. data analytics facility in the heart of The Ohio State University campus in Pomerene Hall. The facility has state of the art convening space and configurable project rooms; software, hardware, and visualization labs; hoteling workstations; and spaces that highlight our collaborative research programs.

The Ohio State University

Caroline S. Wagner, PhD

John Glenn College of Public Affairs 
Battelle Center for Science & Engineering Policy
Page Hall 210U, 1810 College Road N, Columbus, OH 43210 -

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