UMD Tenure-Track Faculty Position, Dept of Government and Politics (GVPT) & College of Behavioral and Social Sciences (BSOS) and the College of Information Studies (iSchool)
The Department of Government and Politics (GVPT) at the University of Maryland: With more than 30 tenured and tenure-track faculty, 1,000 undergraduate majors, and 100 graduate students, we are one of the largest departments in the College of Behavioral and Social Sciences (BSOS). Our faculty teach and conduct research in all of the major fields in our discipline, including American politics, comparative politics, international relations, political theory, political economy, and formal theory and methods. Realizing that many of the key problems we face have a significant political component, our faculty and students study a variety of issues with real-world policy implications ranging from civil wars and ethnic conflict to environmental politics, partisan polarization, and inequality. College of Information Studies (iSchool): With a commitment to advancing social justice, the iSchool envisions a world where information and technology break down barriers and create new possibilities for individuals, communities, and organizations to achieve their full potential. Our faculty and students are a multidisciplinary and generative community of approximately 40 tenured and tenure track faculty, 40 professional track faculty, and 90 doctoral students. Our College enrolls over 1,700 diverse students in nine degree programs: Ph.D. in Information Studies, Master of Library and Information Science (MLIS), Master of Information Management (MIM), Master of Science in Human Computer Interaction (HCIM), Master of Professional Studies in Game, Entertainment, and Media Analytics (GEM), Master of Professional Studies in Data Journalism, Bachelor of Science in Social Data Science, Bachelor of Arts in Technology and Information Design (InfoDesign), and Bachelor of Science in Information Science (InfoSci), which is the fourth largest major at UMD. The Social Data Science (SoDa) Center is a joint effort between the iSchool and BSOS that leverages UMD’s substantial strengths in survey methods, measurement, information management, visualization, and analytics to conduct research, provide education, and work with partners to advance social data science and measurement. The Department of Government and Politics (GVPT) in the College of Behavioral and Social Sciences (BSOS) and the College of Information Studies (iSchool) at the University of Maryland, College Park, invite applications for two tenure-track positions at the assistant professor level. These positions are open to applicants from any fields within political and information sciences that apply data science concepts and methods in their work. GVPT and the iSchool particularly seek candidates whose scholarship and teaching interests address important social science problems in the fields of American Politics, Comparative Politics, International Politics, and Political Methodology that intersect with Information Science. We encourage candidates to demonstrate how their research contributes toward social justice and equity, diversity and inclusion, or ethical access to information. Both faculty members will have joint appointments at GVPT and iSchool - one with a tenure home at GVPT and the other at the iSchool. Tenure home will be negotiated at the time of hire. The successful candidates will be expected to contribute to the newly formed undergraduate Major in Social Data Science, which is a BSOS-iSchool joint program. We seek a candidate who will build upon our record of educating political and information scientists committed to leadership, service, research, and innovative practice and impact. The successful candidates will be expected to have a high-impact research agenda and to seek external funding for research. They will also teach at the undergraduate and graduate levels, provide research advising to students at all levels, and engage in service to the profession and shared governance within the university. In particular candidates whose scholarship speaks to the following broad substantive topics are encouraged to apply: ● Social media politics ● Information disorder (misinformation, disinformation, etc.) ● Online political and civic participation ● Political power in information systems While these areas of expertise are of particular interest, candidates with expertise and interest in other relevant topics that apply data science methods are encouraged to apply. Candidates whose work recognizes the information norms and assets of marginalized communities particularly relating to the topics above and other relevant topics, are especially encouraged to apply. This is a tenure-track appointment. Tenure-track Assistant Professors are hired for 3 years, with potential renewal for three more years and tenure review. Salary and benefits are competitive based upon qualifications and experience. Tenure-track and tenured faculty have 9-month appointments, with opportunities for grant-funded research and university-funded teaching in summers. For this position, the successful candidate will be involved in: ● Developing and conducting research projects and disseminating research results ● Designing and developing curricula related to information science ● Crafting exceptional educational experiences for students ● Participating in shared governance ● Contributing to relevant professional communities. *Minimum Qualifications* ● A Ph.D degree at the time of appointment ● Demonstrated research excellence, including a record of peer-reviewed research in one or more areas described in the position summary above, or related areas and potential to attract external support ● Interest in developing effective and innovative courses. *To apply you will need to provide:* ● A letter of interest that clearly describes your background and expertise in the area and the unique contributions you would make to the GVPT, iSchool and the University of Maryland. ● Your CV ● A list of 3 professional references. For each reference include the person’s title, institution, contact information (including phone number and email address), the capacity in which you know this person, and how long you have known this person. ● A statement of your research interests and accomplishments ● A statement of your teaching philosophy For best consideration, applications should be submitted by *September 23, 2022.* To apply please use the UMD ejobs link: https://ejobs.umd.edu/postings/98270
Call for Submissions – EMNLP Workshop NLP for Positive Impact Submission website: https://softconf.com/emnlp2022/NLPforPositiveImpact2022/ Workshop website: https://sites.google.com/view/nlp4positiveimpact Important Dates - (Submission channel 1) Latest submission deadline to Softconf: Aug 15, 2022 - (Submission channel 2; alternative) Latest ARR commitment deadline: Oct 2, 2022 (As the ARR site explains, authors can commit to venues when they have their reviews and meta-reviews. By Oct 2, you need to "commit" your ARR paper through Softconf, as in EMNLP 2022). - Notification of Acceptance: Oct 9, 2022 - Camera-Ready Papers Due: Oct 16, 2022 - Workshop Date: Dec 7, 2022 All deadlines are 11:59PM (Anywhere on Earth <https://www.timeanddate.com/time/zones/aoe>) Summary The widespread and indispensable use of language-oriented AI systems presents new opportunities to have a positive social impact. NLP technologies are starting to mature to the point where they could have an even broader impact, supporting the UN sustainability goals <https://sdgs.un.org/goals> by helping to address big problems such as poverty, hunger, healthcare, education, inequality, COVID-19 and climate change. Our workshop aims to promote innovative NLP research that will positively impact society, focusing on responsible methods and new applications. We will encourage submissions from areas including (but not limited to): - Work that grounds the impact of NLP: Beyond developing a better-performing NLP model, can we make a step further to connect the model to actual social impact? Example directions include: case studies of real-world deployments; or improving the deployment and maintenance of NLP models in practice. In addition to commonly recognized NLP for social good areas such as NLP for healthcare, mental well-being, and many others, we also call for work on neglected areas such as NLP for poverty, hunger, energy, climate change, among others. We also highly value work that builds on interdisciplinary expertise, and encourage submissions of case studies or worked examples that seek to expand the social impact of NLP through collaboration with other fields (e.g., philanthropy, social science, political science, economics, HCI). - Work that guides researchers in NLP for Social Good: Can we provide insights and guidance to the field? Example directions include: measures of social impact; automatic identification of various social needs, their corresponding sizes and demographics of people affected; position papers to propose promising new tasks or directions that the field should pursue; literature review of a subfield; philosophical discussions of what social good is; approaches to interdisciplinary collaboration; user study designs, user surveys; ethical considerations, and other related topics. Note that we want submissions to our workshop to have some distinctive features of social good implications, beyond a general paper on NLP. We will require each submission to discuss the ethical and societal implications of their work, and encourage a discussion of what "positive impact" means in the work. Organizers - Zhijing Jin (Max Planck Institute & ETH Zurich) [lead organizer] - Laura Biester (University of Michigan) - Dora Demszky (Stanford University) - Mrinmaya Sachan (ETH Zurich) - Joel Tetreault (Dataminr, Inc.) - Steven Wilson (Oakland University) - Lu Xiao (Syracuse University) - Jieyu Zhao (University of Maryland, College Park) Contact Email - nlp4pi.workshop@gmail.com Lu Xiao Associate Professor School of Information Studies Syracuse University https://ischool.syr.edu/people/directories/view/lxiao04/
participants (2)
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Lu Xiao -
Naielia Akela Allen