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University of North Carolina at Chapel Hill, School of Information and Library Science Application Deadline: August 22, 2023. We seek a dynamic senior leader to join us in shaping the future of the library and information professions, library and archival practice, and the roles that information plays in the 21st century, the roles institutions will play in empowering marginalized voices, bringing communities together, and understanding the constantly changing impacts that memory and new knowledge have on our society.

Dr. Jane Greenberg Jane Greenberg, PhD, Alice B. Kroeger Professor and director of the Metadata Research Center at Drexel University’s College of Computing & Informatics (CCI) is the recipient of the 2023 ASIS&T Research in Information Science Award from the Association for Information Science & Technology (ASIS&T). This award recognizes an individual or team who has made an outstanding contribution to information science research. The award is for a systematic “program of research” in a single area at a level beyond the single study. Candidates for the Research in Information Science Award are assessed based on the following four criteria: intellectual merit and quality of the contribution; broader impacts of the contribution to theory, practice and society; the coherence of the contribution; methodological innovation used in research; and the transformation and transcendence of the information field. Evidence of the intellectual merit of Greenberg’s research is demonstrated in the citations to her publications, serving in a leadership role as PI, co PI, or senior investigator on over $79 million in research funding, and broad impact. Greenberg founded the Metadata Research Center in 2004. The Center, under her leadership, has and continues to elevate the study — and science — of metadata. Greenberg is currently leading an innovative automatic metadata generation project for artificial intelligence (AI) ready data through Biology-guided Neural Network (BGNN) project. This project has been incorporated into the Imageomics Institute. One of her papers on this work won a Best Research Paper Award at the Metadata and Semantic Research International Conference in Milan, Italy. The 2023 ASIS&T Research in Information Science Award committee cited (as mentioned in ASIS&T’s announcement): “Dr. Greenberg's contributions to metadata research for over 25 years have contributed significantly to several areas of metadata implementation and practice. In particular, her research on metadata to support data sharing contributes to open science principles.” As a jury member commented: “Dr. Greenberg's contributions are potentially the most foundationally transformative of any of the nominees and her technological methodology the most compelling to me. The broader impact of her work is huge.” Greenberg will receive the award at the 2023 ASIS&T Annual Meeting (Oct. 27 to 31 in London, UK). Original Article: https://drexel.edu/cci/news/2023/July/jane-greenberg-wins-association-for-information-science-and-technology-research-award/

University College London, Department of Information Studies Application Deadline: September 11, 2023. We are seeking to appoint Community Fellows (ten in total until summer 2024) to contribute to “The Sloane Lab: Looking back to build future shared collections”, led by University College London (UCL) in partnership with the Technische Universität Darmstadt, British Museum (BM) and Natural History Museum (NHM). The fellow will undertake creative, critical, practice and/or research-led projects with the Sloane Lab’s Knowledge Base and data, demonstrating the new forms of analysis and interpretation the project will unlock. The fellowship comes with an award of £7,500. We welcome applications from outside as well as inside the United Kingdom. The tenure of the fellowship does not require residency in the UK. All fellowships will be hosted remotely online. Applications to the fellowship are particularly welcomed from Global Majority Individuals. This advertised role offers an exciting opportunity for individuals with an interest in contributing to the Sloane Lab, including but not limited to, digital humanists, artists, computer and data scientists and heritage practitioners (community or institution based). The Fellows will exemplify the research capacity unlocked by the Sloane Lab, engage with its Knowledge Base and data directly by undertaking creative, critical and/or research-led projects with collections as data. Research areas may include but are not limited to local and family history, object biography, critical heritage, Indigenous and devalued knowledge, or the transferability of the technology developed by the Sloane Lab.

Rutgers University, School of Communication and Information Application Deadline: October 15, 2023. The Library and Information Science (LIS) Department in the School of Communication and Information (SC&I) at Rutgers University, New Brunswick, invites applications for a Data Science tenure track appointment as part of a larger interdisciplinary Fair and Responsible Data Science (FRDS) cluster hire at Rutgers supported by the Rutgers Presidential Diversity Hiring Initiative. Information about the FRDS initiative may be found here. Other Rutgers units hiring in FRDS include School of Arts and Sciences (Computer Science and Statistics) and Engineering. Across the School of Communication and Information’s 75 full time equivalent faculty, about 20 focus on scholarship related to FRDS. The LIS department is a founding member of the iSchools Consortium and has a research and learning culture that is inclusive, diverse, and cohesive, international in scope and local in impact. The LIS tenure-track/tenured appointment in Fair and Responsible Data Science may be at the Assistant Professor, Associate Professor or Full Professor levels. Hiring Criteria: Ideal candidates would be world-class data science researchers who advance the field of human-centric data science with novel technical and social innovations and/or apply data science to novel contexts in fields related to communication, information, and media. Such candidates would have a track record of scholarship and technical expertise in fields such as responsible AI, algorithmic fairness, information visualization, network science, and/or designing novel data-driven frameworks in contexts such as social computing, wearable computing, health computing, misinformation, privacy, etc. Faculty hired in Data Science will be well-positioned to lead externally funded research projects in such areas. Ideal candidates would be methodologically rigorous and adept at bringing core data science ideas to fruition in interdisciplinary settings. Candidates who transcend traditional research topics, complement our faculty’s strengths, and can teach across our undergraduate and graduate programs are highly sought for application. Candidates should speak to their record of engagement, accomplishment, and / or potential for academic, professional, and/or institutional work undertaken to advance diversity, equity, and inclusion either in their cover letter or in a separate written diversity statement. Through this initiative, we will strongly emphasize hiring faculty who can help advance diversity, equity, and inclusion at Rutgers and especially in enhancing DEI in STEM. The University Statement on Diversity can be found here. We look forward to welcoming a new colleague who will contribute to our thriving undergraduate and master’s level programs in LIS and our highly-regarded interdisciplinary school-wide Ph.D. program, and will be expected to contribute as relevant to wider Data Science cluster initiatives in research and education programs at Rutgers. Minimum Education & Experience A Ph.D. or equivalent doctoral degree in a relevant field is expected as of June 2024 for a September start date. Applicants should have a demonstrated record or strong likelihood of top-tier peer-reviewed publication and evidence of or preparation for effective teaching. Applicants at the rank of Associate Professor or above should provide evidence of leadership in research, instruction, and service; a record of external funding is a plus. 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. Review of applications will begin October 15, 2023, and will continue until the position is filled. Candidates are required to submit a letter of application; a brief statement that demonstrates how your research/teaching advances DEI in STEM; CV; two sample publications and the names of three references. Inquiries can be made to Prof. Rebecca Reynolds, Chair, Department of Library and Information Science, Rutgers University, 4 Huntington St., New Brunswick, NJ.

Dr. Nitin Kohli (Photo/Emily Liu) Postdoctoral scholar and iSchool alum Nitin Kohli has been awarded the prestigious iSchools Doctoral Dissertation Award for his dissertation, “Leveraging Differential Privacy While Attending to Social and Political Commitments.” iSchools is an international organization (not related to the School of Information) centered around supporting and strengthening doctoral programs and research involving information or information sciences at various universities around the world. In this dissertation, Dr. Kohli examined how to design algorithms to create “privacy-protective statistics” that can attend to different social and political commitments. He identified a prominent issue affecting statistical agencies — just because data was aggregated didn’t mean that individual privacy was guaranteed. “Since statistics contain information about a dataset, then when more and more statistics are released, more and more information about the dataset is released,” he explained. “After a point, it will become possible to narrow down what possible values must be in the dataset, and what possible values could not be in the data set.” This process of reverse engineering the data, called a reconstruction attack, has real implications. The U.S. Census discovered that records of 46% of the U.S. population, which is about 142 million individuals, could be reconstructed by using the published 2010 statistics. Enter: differential privacy, which enables the ability to compute statistics in a privacy-preserving manner by creating carefully crafted “noise.” While effective, there is a tradeoff — the “noise” can inadvertently make it difficult to attend to values such as fairness and health, especially since they rely on accurate information. “My dissertation examined how we can leverage differential privacy effectively while simultaneously attending to other values, even in the presence of this noise,” Dr. Kohli described. “Protecting privacy is not just an intellectual exercise — it is a serious matter that requires the utmost attention, especially in the face of new and emerging technologies…My goal throughout my research is to aid practitioners, policymakers, and researchers seeking to use mathematical approaches to attend to specific social and political commitments, including privacy, in areas where statistical knowledge is essential to advancing the public good,” he added. Kohli is a three time UC Berkeley graduate; he received his bachelor’s in mathematics and statistics, master’s in information and data science in 2015, and a Ph.D. in information science in 2021. He is currently affiliated with the UC Berkeley Center for Effective Global Action, Global Policy Lab, and works with Professors Joshua Blumenstock and Paul Laskowski on various projects. The iSchools Doctoral Dissertation Award recognizes outstanding work in the information field. Applicants must be nominated and go through a two-phase review process. “This award is a testament to a multitude of factors. Of course, it’s a testament to all the work I’ve put in over the years. And it’s also a testament to UC Berkeley.” Professor Deirdre Mulligan, Kohli’s nominator, commented, “Dr. Kohli’s work…is a compelling example of the research advances possible when scholars use techniques from applied mathematics — including game theory and mechanism design, cryptography, and statistics — with research on domain specific needs and problems. The novelty, creativity, and practical contributions of Dr. Kohli’s dissertation makes it an excellent choice for the iSchools Doctoral Dissertation Award.” Kohli dedicates the award to his 25 year-old self, who applied to Ph.D. programs because he had so many questions about the role that mathematical advances, like differential privacy, could play in society. “This is why the iSchools Doctoral Dissertation Award means so much to me,” he added, “because I wrote my dissertation to answer the questions that I had in the past when I was a young data scientist who felt disillusioned about the work he was doing, hoping one day others who feel the same way or have the same questions I did will be able to build upon my work and continue finding ways to better attend to privacy and other social and political commitments.” “This award is a testament to a multitude of factors. Of course, it’s a testament to all the work I’ve put in over the years. And it’s also a testament to UC Berkeley – I’ve done my bachelors, my masters, and my Ph.D. here, so it’s safe to say this dissertation is also a product of Berkeley as well.” Dr. Kohli also thanked his family, Michael Wong and Mike Leong of the Student Learning Center at Berkeley, Professors Deirdre Mulligan, Paul Laskowksi, Joshua Blumenstock, and Mortiz Hardt. Original Article: https://www.ischool.berkeley.edu/news/2023/alum-nitin-kohli-wins-ischools-doctoral-dissertation-award-outstanding-differential Related Ph.D. Student Nitin Kohli Awarded for Excellence in Teaching Kohli received the Teaching Effectiveness Award for graduate student instructors from the UC Berkeley Graduate Division. Alumna Jennifer King’s Dissertation Honored by iSchools Organization School of Information alumna Jennifer King was honored by the iSchools organization for her doctoral dissertation, “Privacy, Disclosure, and Social Exchange Theory.” Alum Galen Panger (Ph.D. 2017) Awarded iSchools Doctoral Dissertation Prize Dr. Galen Panger is the winner of the 2018 iSchools Doctoral Dissertation Award. Dr. Panger’s dissertation, “Emotion in Social Media,” was judged the best dissertation from an information school in the iSchools organization.

University of Washington, The Information School Application Deadline: August 7, 2023. The University of Washington Information School is at an exciting juncture, as we broaden and deepen the teaching profile of our Master of Information Management (MSIM) Program by offering a new position. This position will contribute to excellence in teaching and service in a diverse, intellectually stimulating, multi-disciplinary environment with an emphasis on social impact. Information Management is an emerging field with the purpose of designing, developing, managing, and using information with insight and innovation to support decision making and create value for individuals, organizations, communities, and societies.  Within this space, we are seeking a faculty member who can complement iSchool expertise in Business Intelligence/Business Analytics. Business Intelligence/Analytics is an area of study concerned with managing the process of transforming data into information for organizational insight. This specialization has a managerial/strategic focus, but also incorporates modern analytics and data warehousing toolsets to provide a foundational exposure to key technologies. The UW Information School is dedicated to hiring faculty who will enhance our inclusion, diversity, equity, access, and sovereignty (IDEAS) mission and vision through their research, teaching, and service. As information systems and institutions serve increasingly diverse and global constituencies, it is vital to understand the ways in which differences in gender, class, race, ethnicity, religious affiliation, national and cultural boundaries, national origin, worldview, intellectual origin, ability, and other identities can both divide us and offer us better ways of thinking and working. The Information School faculty are committed to preparing professionals who work in an increasingly diverse and global society by promoting equity and justice for all individuals, actively working to eliminate barriers and obstacles created by institutional discrimination. The successful candidate will join a broad-based, inclusive Information School, whose faculty members pursue their scholarship, teaching, and service across multiple degree programs and are committed to the values of leadership, innovation, and diversity. The University of Washington is an institution that encourages inclusive research and community outreach, situated between the Puget Sound and Lake Washington, in the city of Seattle, on the traditional territories of the Coast Salish people. Seattle is a rapidly growing, dynamic, and diverse metropolitan area with a leading technology sector and vibrant civic sector. Applicants may find further information about the Information School at: ischool.uw.edu. The position is a full-time 9-month non-tenure track appointment at the rank of Assistant Teaching Professor with an anticipated start date of September 1, 2024. All University of Washington faculty engage in teaching, scholarship and service. The base salary range for this position will be $10,500 to $11,500 per month ($95,500 - $103,500 per 9-month academic year), commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Please visit this link for more information and to apply for this position:http://apply.interfolio.com/127412

University of Sheffield, Information School Application Deadline: July 11, 2023. The Information School is seeking to recruit a specialist University Teacher. This role is full-time, fixed term from 1 August 2023 until 30 September 2024. The post-holder will contribute to the teaching of modules on our Librarianship and Information Management masters programmes You will also carry out supervision of masters dissertation projects. You will have completed/be close to completing your PhD or have equivalent level of experience. You will have knowledge and experience of innovative teaching and assessment. You will ideally have experience of supporting teaching in higher education and may have, or be working towards, a postgraduate qualification in teaching. If you feel like you would be a good fit for the role, we would love to hear from you!

University of Sheffield, Information School Application Deadline: July 13, 2023. We are seeking to recruit two Lecturers / Senior Lecturers in Data Science to enhance and expand our excellent research and teaching in these areas. The successful applicants will make a strong contribution to the further development of our research activities, to the delivery of our undergraduate and postgraduate programmes and to the supervision and development of research students in cognate areas. You will have a PhD (or equivalent) in a relevant field, a developing (Lecturer) / established (Senior Lecturer) research profile, a proven teaching ability, a strong commitment to interdisciplinary collaboration, and will make a key contribution to advancing the School’s leading position in the field. You will make a strong contribution to the further development of our research activities; to the delivery of undergraduate and postgraduate programmes; and to the supervision and development of research students. You will collaborate with other relevant research groups and networks in the School, and across the University. As the roles will involve supervising and supporting research students and colleagues they will be required to foster a culture of mutual support and collegiality. At Senior Lecturer level, we are interested in hearing from you if you also have experience of supporting staff performance and the ability to lead and manage research activity. If you feel like you would be a good fit for the role, we would love to hear from you!

University of Nebraska at Omaha, College of Information Science and Technology Application Deadline: June 30, 2023. The College of Information Science & Technology at the University of Nebraska at Omaha (UNO) invites applications for multiple two-year visiting faculty positions at the rank of visiting assistant professor or visiting instructor. The desired start date for these positions is August 2023. Applicants with expertise in all areas of computing are encouraged to apply. Those with a background in software engineering, database systems, human-centered computing, cybersecurity and technical project management are of particular interest. Visiting faculty will be expected to support coursework essential for undergraduate and graduate programs in Computer Science, Cybersecurity, and Management Information Systems. Successful applicants will have a passion for student-centered undergraduate teaching and show potential to develop a portfolio of teaching excellence that contributes to UNO’s engaged metropolitan campus mission. Candidates should share a commitment to broadening participation in computing through their teaching and/or professional engagements. Candidates must hold an earned master’s or doctoral degree in a computing-related discipline. Those seeking a visiting assistant professor title must hold an earned doctorate or be actively ABD in a doctoral program. Review of applications will begin on June 30, 2023 and will continue on a rolling-basis until the positions have been filled. Applications must be submitted online at https://unomaha.peopleadmin.com/postings/17733 and should include a cover letter, curriculum vitae, teaching statement, diversity & inclusion statement and contact information for three references. A research statement is required for those seeking the rank of visiting assistant professor. Questions can be directed to Brian Dorn.

iSchool at Kyushu University & iSchool at the University of Illinois at Urbana-Champaign Dates: 1:00 pm – 5:05 pm on Monday, June 19, 2023 (Japan Standard Time) Venue: Meeting room at Science and Technology Library at Ito Campus(On-site), Zoom Webinar (Online) Register here by June 15: https://www.lib.kyushu-u.ac.jp/ja/webform/rdm_20230619 Program (in Japanese Standard Time) 13:00-13:05　Opening Remarks by Rin-ichiro Taniguchi, Executive Vice President, Chief Director of Data-Driven Innovation Initiative, Director General of University Libraries, Kyushu University (KU) 13:05-13:10　Introduction to this Symposium by Emi Ishita, Professor of Research Data Service Division, Data-Driven Innovation Initiative, KU 13:10-14:10　Talk 1 Title: Building Research Data Infrastructure in Libraries: The Impact of Culture and Values Speaker: Peter Darch, Assistant Professor, School of Information Sciences, University of Illinois Urbana-Champaign (Illinois) 14:10-15:00　Talk 2 Title: Big Data Use in the Humanities and Social Sciences: The case of HathiTrust Research Center Speaker: J. Stephen Downie, Professor, School of Information Sciences, Illinois 15:00-15:10　Break 15:10-15:40　Talk 3 Title: Introduction to Research Data Service Division at Kyushu University Speaker: Yoichi Tomiura, Professor, Director of Research Data Service Division, KU 15:40-16:10　Talk 4 Title: Introduction to Certification Program on Research Data Management Service at the Department of Library Science at Kyushu University Speaker: Emi Ishita, Professor of Research Data Service Division, Data-Driven Innovation Initiative, KU 16:10-16:15　Break 16:15-17:00　Panel Discussion 17:00-17:05　Closing Remarks by Kentaro Fujioka, Professor, Department Chair of Library Science, KU

University of Sheffield, Information School Application Deadline: July 05, 2023. We seek applications from ambitious, highly motivated and talented individuals who will be keen to play an active role in maintaining and enhancing the School’s national and international reputation for research, teaching excellence and innovation. The appointee will have a strong commitment to both research and teaching, and to interdisciplinary collaboration, and will make a key contribution to advancing the School’s competitive position. They will contribute to our undergraduate and postgraduate programmes in areas such as information systems and information management.

University of Sheffield, Information School Application Deadline: July 05, 2023. The Information School at the University of Sheffield is seeking to recruit a Lecturer / Senior Lecturer in Information Systems to enhance and expand our excellent research and teaching in these areas. The successful applicant will make a strong contribution to the further development of our research activities, to the delivery of our undergraduate and postgraduate programmes and to the supervision and development of research students in cognate areas. You will have a PhD (or equivalent) in a relevant field, a developing (Lecturer) / established (Senior Lecturer) research profile, a proven teaching ability, a strong commitment to interdisciplinary collaboration, and will make a key contribution to advancing the School’s leading position in the field. You will make a strong contribution to the further development of our research activities; to the delivery of undergraduate and postgraduate programmes; and to the supervision and development of research students. You will collaborate with other relevant research groups and networks in the School, and across the University. As this role will involve supervising and supporting research students and colleagues you will be required to foster a culture of mutual support and collegiality. At Senior Lecturer level, we are interested in hearing from you if you also have experience of supporting staff performance and the ability to lead and manage research activity. If you feel like you would be a good fit for the role, we would love to hear from you! For more details and to apply go to: https://www.jobs.ac.uk/job/DAK626/lecturer-senior-lecturer-in-information-systems. We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development. We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.