University of Texas at Austin Application Deadline: December 1st, 2024. The School of Information at The University of Texas at Austin invites applicants for up to two tenure-track Assistant Professor positions to start in Fall 2025. Candidates will be expected to conduct innovative and impactful research and to teach at both graduate and undergraduate levels. We seek candidates who investigate human-centered artificial intelligence (AI) systems through designing, building, and technically evaluating such systems. Our call is intended to be broadly inclusive of the range of AI subdisciplines and areas such as (but not limited to): machine learning (ML), natural language processing (NLP), computer vision (CV), and generative AI and large language models (LLMs), etc. Candidates should develop AI systems in their research that advance support for human work or activities, e.g., by augmenting and amplifying the capabilities of individuals or groups of people.

University of Texas at Austin Application Deadline: December 1st, 2024. The School of Information at The University of Texas at Austin invites applicants for up to two tenure-track Assistant Professor positions in Cultural Heritage Informatics to start in Fall 2025. The School is seeking innovative scholars in the work, structure, and especially the social impact of cultural heritage institutions broadly understood. We are seeking scholars who will deepen understanding and drive innovation to advance institutions such as libraries, museums, and archives, among other cultural heritage contexts of information. Candidates will be expected to conduct innovative and impactful research and to teach at both graduate and undergraduate levels.

Indiana University Indianapolis Application Deadline: January 15, 2025. The Luddy School of Informatics, Computing and Engineering at IU Indianapolis (IUI) invites applications for one tenure-track faculty assistant professor position in the Department of Library and Information Science (LIS). The appointment will begin August 1, 2025, on the IUI campus. Exceptional researchers are being sought to support a new PhD program in Information Science as well as the campus’ transition to an R1 institution. The LIS Department has an undergraduate data science program, collaborates on graduate data science initiatives, and has an ALA-accredited Master of Library Science degree program delivered through online methods . An area of special interest is Community Informatics, including community archives, community health, and community data. We are also interested in the use of artificial intelligence and other cutting-edge technologies and methods (e.g., Big Data, machine learning, analytics, data visualization) as applied to the aforementioned areas. Additionally, we are interested in community-based or application-driven scholars who seek to integrate research strategies with real world problems.

San Jose State University Application Deadline: December 1st, 2024. The School of Information at San José State University is pleased to announce a search for an Assistant Professor - Artificial Intelligence (AI) in LIS, beginning in August 2025, for our Master of Library and Information Science (MLIS) and Bachelor of Information Science and Data Analytics (BSISDA) programs. The position will focus on AI and library & information science - a critical area of need and a high priority area for San José State University. Duties will include assisting with the design, development, and release of a new interdisciplinary minor in AI for undergraduates, as well as a new 4+1 accelerated program (a 4 year undergraduate program combining 1 year of graduate work to emerge with both a bachelors and a masters degree), and helping lead the iSchool in the AI LIS teaching and research areas.

Identifying whether online information is faulty or ungrounded is important to ensure information integrity and a well-informed public. This was especially challenging during the COVID-19 pandemic when misinformation spread like wildfire across the Internet.  A new project led by Associate Professor Dong Wang will integrate diverse human and machine intelligence to examine multimodal data (e.g., text and image) that was produced during the pandemic. His project, “ Crowd-Assisted Human-AI Teaming with Explanations ,” has been awarded a three-year, $599,999 grant from the National Science Foundation (NSF).   According to Wang, the new project will develop a crowd worker-based interactive artificial intelligence (AI) system that explores the collective strengths of the professional knowledge of domain expert crowd workers, the general logical reasoning ability of non-expert crowd workers, and the effective information retrieval capability of AI models. The researchers will recruit experts in the field, such as healthcare providers, and freelance workers, or average people, from crowdsourcing platforms like Amazon MTurk or Prolific. These crowd workers will perform tasks to help train the AI models, making the system more robust.   “While significant efforts in artificial intelligence and machine learning have addressed information integrity in this type of multimodal setting, many solutions cannot be directly applied due to lack of domain specific knowledge and the expertise needed to provide meaningful, convincing explanations,” Wang said.   While the focus of this project is COVID-19, the framework and models that are developed will be able to address information integrity with explanations in other domains, such as healthcare, disaster response, and public safety.   Wang’s research interests lie in the areas of human-centered AI, social sensing and intelligence, big data analytics, misinformation detection, and human cyber-physical systems. He holds a PhD in computer science from the University of Illinois Urbana-Champaign.

Saracevic was an expert on the evaluation of information retrieval systems; the notion of relevance in information science; and the human aspects in human-computer interaction in information retrieval. SC&I Distinguished Professor Emeritus of Library and Information Science Tefko Saracevic , a world-renowned expert on human information behavior, human-computer interaction from the human viewpoint, modeling interaction processes in information retrieval, and the concept of relevance in relation to information and information systems, has died.   A full-time member of the SC&I Library and Information Science Department faculty for 25 years, Saracevic joined Rutgers in 1985. In 1991 he was promoted to Professor II (then the highest academic rank at the university). From 2003 to 2006 he served as an associate dean at SC&I. In 2010 he transitioned to emeritus status, but for years afterward he still taught an online Digital Libraries course.   Saracevic conducted research and published widely on the testing and evaluation of information retrieval systems; the concept of relevance in information science; human aspects in human-computer interaction in information retrieval; user and use studies in information science and librarianship; studies of user-derived value of information and library services; evaluation of digital libraries; and analysis of Web queries as submitted to search engines.   As principal investigator or co-principal he received research grants from the National Science Foundation, National Institutes for Health, Department of Education, Council for Library Resources, the Rockefeller Foundation, UNESCO, and several other national and international organizations. His results were widely reported and cited.   Active internationally, particularly in relation to information problems in developing countries, for over a decade Saracevic was involved with the Rockefeller Foundation in design, deployment, and evaluation of compact high-quality, low-cost medical information systems in under-resourced areas around the world.   He was a visiting professor at four universities abroad and he also worked and consulted with a number of international organizations on development and evaluation of information systems and libraries.   Saracevic presented papers at international meetings in 43 countries, and was an invited keynote speaker at over a dozen international conferences. He also served as co-founder and co-chair, from 2000 to 2014, of the biennial conference and course  Libraries in the Digital Age  (LIDA) held in Zadar, Croatia.   Saracevic was active in a number of professional associations. He was the president of the American Society for Information Science (ASIS, now ASIS&T) in 1991. He received the Gerard Salton Award for Excellence in Research, by the Special Interest Group on Information Retrieval, Association for Computing Machinery (SIGIR/ACM) in 1997; the ASIS Award of Merit (highest award given by the Society) in 1995; the 1989 Best Paper Award in the  Journal of the American Society for Information Science ; the ASIS Outstanding Information Science Teacher Award in 1985; and the Rutgers University Board of Trustees Award for Excellence in Research in 1991. In 1994 he was a Fulbright Scholar at the University of Zagreb, Croatia; he was granted a second Fulbright scholarship for 1999.   As of 2024, he had received 5,818 citations in the Scopus database (a prominent abstract and citation database of scientific journals, books, and conference proceedings). In  Google Scholar  (with a broader coverage of all kinds of documents in addition to journals) he received  16,462  citations. In a  histogram of citations  from papers in the  Journal of the Association for Information Science and Technology  (JASIST & predecessor names), done by the late Eugene Garfield from the Web of Science for years 1956-2006 and involving 4605 authors, he ranked first in citations to his work both in articles in the Journal (Total Local Citation Score) and in articles globally from that Journal (Total Global Citation Score).   Saracevic was also a member of a number of editorial boards. From 1985 to 2008 he was Editor-in Chief of  Information Processing & Management , an international journal published by  Elsevier Science Ltd.  Regular reviewer for a number of journals and granting agencies.   Saracevic studied electrical engineering at the University of Zagreb, Croatia, from 1952-1957. He completed his master’s degree in 1962 and his Ph.D. in 1970 in studies in information science at Case Western Reserve University in Cleveland, Ohio. He taught and conducted research at Case Western until 1985, when he moved to Rutgers.   The LIS Department faculty joins the scholarly community around the world in remembering our cherished colleague, Prof. Tefko Saracevic. We anticipate sharing further remembrances in the coming days and weeks, from those who knew him best.

The iSchools Doctoral Dissertation Award  recognizes outstanding work in the information field. Nominations are solicited from all members of the iSchools organization and judged by a selection committee drawn from leading international schools.   The winner receives a prize of $2,500 USD, the runner up $1,000 USD. Current and past honorees can be viewed here .   Eligibility Each member iSchool can nominate applicants for the award. The applicants should have successfully completed their Ph.D. according to the rules of the university between October 01, 2023 to September 30, 2024. The research can be on any topic in the information field, and use any methodology.   Submission Submissions can be made on our ConfTool submission . Submissions must be made by the official doctoral advisor (first reader). Individuals cannot self-nominate.   Materials The following items should be submitted (Four PDF files in one Zip file): PDF 1 : Title Page (doctoral dissertation title, author name, email, phone number, address, current institution, advisor name & contact information, degree granting institution, and completion date) and an Abstract up to 200 words, plus keywords. PDF 2:  An anonymised summary of the research in English, regardless of the language of the doctoral dissertation. Up to 10 pages including tables & figures, preferably in 12 pt Times New Roman font, with one-inch margins (excl. title page & references). References may be in any standard style format. PDF 3:  Recommendation letter from the primary advisor (first reader). PDF 4:  The complete dissertation in PDF format should be submitted in its original language. An English translation might be requested, if necessary.   Nomination Deadline: November 30, 2024 Decision Notification: February/March 2025   Review Process A Review Committee evaluates the Awards submissions. Judging criteria for the Award will focus on the research question, the literature review, the method / the design, the data / the structure of the design and the collection of the data / testing of the design, the analysis and the results of the research. Awards submissions go through a two-phase review procedure. In the first phase, which is anonymous, each dissertation summary is reviewed by two reviewers. The best five dissertations are then chosen for closer scrutiny and reviewing of a third reviewer. The dissertation with the best overall reviewing receives the Doctoral Dissertation Award.   Questions? Contact admin@ischools-inc.org  regarding questions about the Award or iConference 2025 in general.

Issue #89 by Michael Seadle  (Humboldt-Universität zu Berlin) Reese Richardson , Spencer Hong , and Luís A. Nunes Amaral  wrote a Retraction Watch  blog entry called: “Hidden Hydras: Uncovering the Massive Footprint of One Paper Mill’s Operations.” The authors explained that paper mills want to remain as hidden as possible but still need to advertise:    “This contradiction makes it difficult for researchers like us who study systematic fraud to get a full sense of the scope of any paper mill’s operations. By charting the web presence of one shady business, we sought to do just that.”¹     The authors did a series of searches and were directed to “Academic Research and Development Association (ARDA), based in Chennai, India.”¹   ARDA has a list of:     “... indexed journals in which it can guarantee publication … Many of the titles listed on ARDA’s site are well-known hijacked journals already found on the Retraction Watch Hijacked Journal Checker.”¹    The charges per article are “US$250 to US$450”.¹ The authors also    “... uncovered a network of associations consisting of 828 distinct businesses, journals, publishers, individuals, universities, professional societies and indexing services. … Several businesses had bulk request forms for article writing and publication on their website. One stated on its FAQ page that if a journal gets de-indexed by Scopus, it will publish the client’s article in a back-dated issue.”¹   One obvious lesson from the author’s research is that authors need to be more aware of paper mills and the risks they face, especially when their own institutions discover that their publications lack the legitimacy of a genuine peer-reviewed journal. A paper mill publication may seem to help in the short term, but could become damaging once institutions learn the truth.    An important ongoing lesson is the damage done when institutions require so many articles that scholars (especially young scholars) resort to paper-mills. Valuing academic performance using counting techniques has become counterproductive. It forces institutions to deal with the damage done by paper mills, and it detracts from scholars’ ability to develop real ideas. Real scholars need time to think.  1 : Richardson, Reese, Spencer Hong, and Luís A. Nunes Amaral. “Hidden Hydras: Uncovering the Massive Footprint of One Paper Mill’s Operations.” Retraction Watch  (blog), October 1, 2024.   https://retractionwatch.com/2024/10/01/hidden-hydras-uncovering-the-massive-footprint-of-one-paper-mills-operations/ .

Rutgers iSchool LIS faculty and doctoral students will attend the 2024 Association for Library and Information Science Education (ALISE)  conference  in Portland, Oregon, from October 14 to 17. ALISE '24, the premier annual library and information science (LIS) professional gathering will focus on this year’s theme, 'The Ethics and Evolution of Truth and Information.' Attendees will participate in a range of presentations, discussions, and panels related to this theme, including explorations of how library and information professionals define, interrogate, and uphold notions of truth, the impact of innovations in information creation and dissemination on people and communities, and the ethical questions that arise from the rapid adoption of new tools and technologies pertaining to the creation, remixing, and sharing of information. Related topics include using AI technologies and creating and spreading information and misinformation on social media. School of Communication and Information   participants include  Lilia Pavlovsky , Director of the Master of Information Program and Teaching Professor of Library and Information Science;  Marie Radford , Associate Teaching Professor of Library and Information Science;   Joyce Valenza , and doctoral students   Juliana Mestre ,  Catherine McGowan ,  Kaitlin Montague , and  Alexandra Pucciarelli . The keynote speaker is Steve Easterbrook , Ph.D., Director of the School of the Environment and Professor of Computer Science at the University of Toronto. Schedule details are available on the conference  website . SC&I’s participation in ALISE '24 underscores the school's commitment to advancing critical conversations about the future of truth and information in a rapidly evolving digital landscape. Learn more about SC&I’s  Ph.D. program in Communication, Information and Media ,  Master of Information (MI) program , and the  Department of Library and Information Science .  ALISE  is a nonprofit organization that serves as the intellectual home of faculty, staff, and students in the library, information science, and allied disciplines.

Florida State University, School of Information Application Deadline: Open Until Filled   The School of Information (iSchool) at Florida State University seeks to fill two (2) nine-month tenure-track faculty positions at the Assistant Professor level. Review of applications will begin on November 1, 2024, and continue until the positions are filled. We are seeking faculty colleagues with interdisciplinary, sociotechnical systems research interests and the ability to teach in the general areas of Artificial Intelligence (AI), cybersecurity, and/or data science. Additionally, candidates should have strong technical and analytic skills, such as expertise in AI, cloud computing, programming (Java, Python, etc.), digital libraries, mobile/web app development, and data analytics. Candidates should also be able to articulate a research agenda that fits within the broader research interests of the School and demonstrate the ability to work effectively within a highly interdisciplinary environment and actively seek external funding. Successful applicants will be expected to teach at all levels, including courses in the school’s bachelor’s, master’s, and doctoral degree programs. Experience teaching online, as well as face-to-face, is preferred. Faculty typically teach two courses per semester each academic year. All faculty members are expected to advise students, serve on School, College, and University committees, and be active in professional and academic organizations. Qualified applicants will have a Ph.D. or equivalent doctorate in information science, information science, information technology, or a cognate field.

San Jose State University Application Deadline: Screening of complete applications will begin immediately and continue until the completion of the search process/until the position is filled. For best consideration, please apply by October 30, 2024. The School of Information at San José State University is seeking a dynamic, strategic, and collaborative leader with a forward-thinking approach to interdisciplinary education in a fast-paced and innovative environment. The ideal candidate will understand the future of information science, data analytics, and librarianship education both regionally and globally, ensuring the College of Information, Data & Society programs meet the needs of students and communities alike. Ideal qualifications include a terminal degree in an information science discipline or equivalent; a demonstrated record of teaching, research, service, and/or experience meriting appointment as a tenured professor in the college; leadership experience at the department chair, director, associate dean or dean level; and demonstrated ability to develop a culture of philanthropy. The newly formed College of Information, Data & Society (IDS) brings together two leading interdisciplinary academic units: the School of Information (iSchool) and the Department of Applied Data Science (ADS). This bold cross-campus strategy expands SJSU’s capacity to lead in workforce development across critical fields such as information and library science, artificial intelligence (AI), big data analytics and ethics, instructional design, and cybersecurity at both the undergraduate and graduate levels. Positioned at the intersection of technology and practice, IDS connects professionals, institutions, businesses, and industries to Silicon Valley’s only public university, offering educational programs that empower individuals to become engaged citizens of a global society. And, it does so in a highly collaborative environment, where cross-college collaborations and programs are highly valued.

Cornell University Application Deadline: 1 November 2024 The Cornell University Department of Information Science (IS) in the Ann S. Bowers College of Computing and Information Science (Bowers CIS) invites applications for full-time, long-term Lecturer or Senior Lecturer positions at Cornell’s Ithaca campus. Cornell University is located in Ithaca, New York, with a county population of about 100,000 people in the heart of the Finger Lakes region. Both Cornell and Ithaca offer a wide range of cultural activities, sports, and outdoor activities with the pleasures of both city and country close at hand. Our nearly 40 faculty members are leaders in their respective fields within Information Science's interdisciplinary structure, specializing in areas like machine learning, artificial intelligence, human-computer interaction, ubiquitous computing, user-experience design, tech-law policy, and much more. IS is located in Cornell’s Gates Hall and a new building to be completed in 2025 and has strong connections with several other units on campus, including Computer Science, Communication, Economics, Sociology, Science and Technology Studies, Operations Research and Information Engineering, and Cognitive Science. These connections support the IS Department’s mission to advance our understanding of how people and society interact with computing and information. Teaching faculty hired in these positions will be full-time members of the IS Department; a typical full-time (100%) load for a Lecturer in IS is two courses per semester. Based on candidate qualifications and experience, the initial appointment will be either a three-year (Lecturer) or five-year (Senior Lecturer) appointment. This is a non-tenure track position, but it is a professional teaching career track with the potential for growth, the expectation of renewal, and eventual promotion for Lecturers. The department offers a competitive benefits package and salary. Lecturers play a full and active part in departmental life from curriculum design to voting rights and participation in wider faculty governance and decision-making. Cornell University also seeks to meet the needs of dual career couples, with both its own Dual Career program and membership in the Upstate New York Higher Education Recruitment Consortium to assist with dual career searches. We are seeking candidates who will contribute to a mix of undergraduate and masters courses in one or more of the wide range of topics covered by IS. Lecturers both develop new courses and teach existing courses. Current courses cover web programming and design; application development; human-computer interaction; information visualization; data science; network science; and information ethics, law, and policy. These courses are taught at both the lower – or upper – level and are offered to smaller (40-50 students) or larger (300+ students) audiences. Candidates with PhDs in Information Science, Computer Science, and related areas are encouraged to apply. More information about the breadth of courses in the department is available at https://infosci.cornell.edu/courses/list-info-sci-courses . Candidates are also encouraged to look at the curricula for the Ithaca campus undergraduate ( https://infosci.cornell.edu/undergraduate ) and Masters of Professional Studies ( https://infosci.cornell.edu/masters/mps ) degrees.   Candidates must hold a PhD or equivalent degree by August 2025 and have demonstrated commitment to teaching excellence. Applicants should submit a cover letter, curriculum vita (CV), and a teaching statement that speaks to their experience and evidence of teaching ability, skills, and strengths. We ask applicants for all faculty positions to share their experiences and/or approaches (past, current, or future) to fostering learning, research service, and/or outreach in a diverse community. Applicants may choose to submit a stand-alone statement or embed the information in other parts of their application materials.  Application materials should outline aspects of the department’s courses and curricula they see as especially attractive. Candidates may optionally include recent teaching evaluations.