| Personal Website | http://www.kateto.net |
| COVID States Project | http://www.covidstates.org |
The Department of Communication at Rutgers University’s School of Communication and Information seeks a full-time faculty member in the area of Information and Communication Technology (ICT) with an emphasis on Data Science. Preference will be given to candidates at the Assistant and Associate levels. The appointment will begin in Fall 2024. We are seeking a social scientist studying information and communication technology who uses computational social science methods. The ideal candidate will conduct theory-driven, empirical, communication-centered research that examines the social implications of new technologies. This new faculty member will contribute to the growing computational social science area at the School of Communication and Information, Rutgers University. We are looking for an innovative and engaged communication scholar whose research foci recognizes emerging issues in areas including but not limited to: · Artificial intelligence fairness and algorithmic bias · Artificial intelligence and the future of work · Social inequality and democratic participation· Media and technology · Youth and technology· Cities and technology· Globalization and civil society · Mis/dis-information and technology · Identity formation and technology · Collective intelligence and digital collaboration · Inequities in access, uses, and outcomes of technology · Relationship between online and offline behaviorThe ideal candidate will have expertise in computational social science methods including, but not limited to, machine learning, natural language processing, and network science. We are also interested in candidates whose research uses computational methods to understand and address inequalities related to race, ethnicity, gender, LGBTQ+ status, socioeconomic status, physical/mental health, geography, or environment.Responsibilities of tenure-track and tenured faculty members include undergraduate and graduate teaching assignments, an active program of research in the candidate’s area of scholarly expertise, and service contributions in accordance with the university policy for tenure‐track and tenured appointments. Our faculty employs a wide range of empirical approaches in their research. We encourage candidates whose scholarship intersects with, and extends, one or more of the department’s research foci (organizational communication, health communication, communication and technology, interpersonal communication, and language and social interaction) and/or other areas within the school such as media studies and information science. For more about the Department of Communication and the School of Communication and Information (SC&I), see comminfo.rutgers.edu. We look forward to welcoming a new colleague who will contribute to our thriving undergraduate and master’s level programs and our highly regarded interdisciplinary school-wide Ph.D. program. Inquiries can be made to the search committee chair: Katherine Ognyanova ([email protected]).
To broaden the reviewer pool for ACM Web Science 2023 and to depend less on personal connections, we invite researchers to self-nominate to serve as reviewer on the Program Committee. Typical PC members will have a PhD, but senior PhD students will be considered. Publication experience in ACM Web Science or a similar venue is a requirement.