University of Illinois Urbana-Champaign, School of Information Sciences Application Deadline: January 05, 2024. Tenure-Track Faculty in Data Curation & Responsible Data Science (Open Rank) - Information Sciences Job#: 1021905

University of Illinois Urbana-Champaign, School of Information Sciences Application Deadline: December 15, 2023. Tenure-Track Faculty Position in Artificial Intelligence (Open Rank) - School of Information Sciences Job#: 1021454

University of Illinois Urbana-Champaign, School of Information Sciences Application Deadline: January 15, 2024. Tenure-Track Faculty, Engaged Scholarship (Information Sciences) (Open Rank) - Information Sciences Job#: 1021959

University of Wisconsin - Milwaukee, College of Community Engagement and Professions Application Deadline: January 12, 2024. The new College of Community Engagement and Professions (CCEP) is seeking an energetic, visionary scholar to serve as the Associate Dean and Head of School of the School of Information Studies, the iSchool at the University of Wisconsin-Milwaukee (UWM). As the school leader, this individual will build and support an inclusive and supportive environment for teaching, learning, scholarship and service. The Associate Dean and Head of School will work as a member of the CCEP Dean’s leadership team to bring to life the progressive vision for the new college. They will also be responsible for the day-to-day operations in the school. UWM’s School of Information Studies (SOIS) is committed to shaping the future of library science and information technology, and improving the world, through innovation and inquiry, connecting humans to the information they use every day. For more information or to apply, please visit: https://apptrkr.com/4860689

University of Illinois Urbana-Champaign, School of Information Sciences Application Deadline: January 15, 2024. The School of Information Sciences (iSchool) at the University of Illinois invites applications for a full-time, tenure-track faculty position at all ranks (Assistant, Associate or Full Professor). We are seeking applications in the broad areas of Engaged Scholarship in any aspect of the Information Sciences.

University of Illinois Urbana-Champaign, School of Information Sciences Application Deadline: Open until filled. The University of Illinois Urbana-Champaign, the premier public research university in the State of Illinois, invites nominations and applications for the position of Executive Associate Dean of the School of Information Sciences (iSchool). The anticipated start date is negotiable and ideally by summer 2024. Reporting to the Dean of the iSchool, the Executive Associate Dean will provide leadership for the internal administration of the iSchool, including administrative oversight for the work of the iSchool’s associate deans and assigned staff, as well as coordination of iSchool faculty affairs. The Executive Associate Dean should possess a Ph.D. or other terminal degree in one of the many fields within the Information Sciences and a record of recognized achievement in research, teaching, and service that would warrant a tenured appointment at the rank of Professor in the iSchool. The University of Illinois has retained the executive search firm Korn Ferry. Inquiries, nominations, and/or the below required application materials (in separate PDFs) should be sent directly to Dr. Josh Ward at Josh.Ward@KornFerry.com

The University of Oklahoma, Dodge Family College of Arts and Sciences Application Deadline: January 15, 2024. The Dodge Family College of Arts and Sciences at the University of Oklahoma invites applications in all Applied Social Science and Humanities fields and disciplines for the new Dodge Family Endowed Chair in Technology and Society beginning in August 2024. We are especially interested in applicants whose research connects with societal challenges, inequities, and opportunities presented by technology advancements that impact daily life, social connection, human health and well-being, or the nature of work. This position aligns closely with strategic plans of the Dodge Family College of Arts and Sciences (https://www.ou.edu/cas/connect/strategic-plan) and the Office of the Vice President for Research and Partnerships (https://www.ou.edu/research-norman). A successful candidate will be appointed to a Department within the Dodge Family College of Arts and Sciences that aligns with their expertise. The teaching load will be one course per semester. For full position details, qualifications, and to apply visit: https://apply.interfolio.com/136729

Drexel University, College of Computing & Informatics (CCI), Department of Information Science The Department of Information Science in Drexel University’s College of Computing & Informatics (CCI) invites applications to our PhD program for Fall 2024. PhD students will have the opportunity to work with leading faculty on diverse topics related to human-centered computing (HCC), artificial intelligence (AI), data science, and library and information science (LIS). Several CCI faculty members are recruiting PhD students for Fall 2024 in the following areas: Ontology, semantics/ontology-related research, controlled vocabularies Knowledge graphs Natural language processing (NLP) Artificial intelligence (AI) and machine learning (ML) Large language models (LLM) Metadata/FAIR data, data management Biomedical informatics AI applications in biomedical sciences Recommender systems Information retrieval Algorithmic fairness and social impact Human-centered AI Human-computer interaction & health Human-computer interaction & online safety Computer supported cooperative work We encourage prospective students to contact individual faculty for additional information about the available positions. Learn More and Apply by March 15, 2024 Applications will be considered on a rolling basis from December 15, 2023, through March 15, 2024. To ensure full consideration, applicants are encouraged to submit materials by the priority deadline of December 15. Learn more about the PhD IS Program and the application process can be found on our website: https://drexelcci.info/phdis For any questions about the application process and/or general program inquiries, contact Michaela Lee (ml3738@drexel.edu), PhD Recruitment Specialist. ----- About Information Science Department, CCI, and Drexel University The Information Science Department at Drexel is an ideal environment to pursue an interdisciplinary PhD that examines the intersection of information, technology and people. Information Science faculty bring diverse training to their research, with PhDs in a range of disciplines, including anthropology, psychology, library and information science, computer science, engineering, mathematics, and others. The College of Computing & Informatics (CCI) is uniquely positioned as an interdisciplinary and entrepreneurial research and education leader for the 21st century. CCI’s two departments, Information Science and Computer Science, complement each other to offer trailblazing research and education. In recent years, CCI has experienced substantial enrollment growth, recruited new faculty, and introduced new programs in Data Science, Human-Computer Interaction and User Experience, Artificial Intelligence and Machine Learning, and Business Information Technology (in partnership with the LeBow College of Business). CCI occupies two-and-one-half floors in a brand-new building, constructed in 2019, offering state-of-the-art classrooms, labs, meeting areas, collaboration spaces, and a maker space. Drexel University is also home to interdisciplinary research centers and institutes where students find additional opportunities for mentorship and scholarly engagement. Drexel is located in central Philadelphia, a vibrant urban center that is home to many other universities and cultural institutions.

University of Illinois Urbana-Champaign, School of Information Sciences Application Deadline: December 15, 2023. The School of Information Sciences (iSchool) at the University of Illinois invites applications for full-time, tenure-track faculty positions at all ranks. We welcome applications in the broad areas of artificial intelligence (AI), including but not limited to: foundation models AI for social good, social justice, and social change human-AI interaction machine learning (e.g., deep learning) natural language processing trustworthy AI, explainable AI, automated methods that support the FAIR principles (findable, accessible, interoperable, and reusable) and / or FATE (fairness, accountability, transparency, and ethics) data / text mining, graph mining data ethics data storytelling domain informed data science knowledge representation network science * data science We seek applicants who will thrive in an interdisciplinary academic unit at one of the nation’s premier land-grant research universities. Successful candidates must exhibit the potential to conduct world-class research, teach effectively in undergraduate, professional, and doctoral programs, and contribute to our mission of advancing diversity, equity, and inclusion. At the iSchool at Illinois, we employ methods from across the disciplines to grapple with society’s most urgent challenges related to information, its practices, and technologies. Our faculty are global experts in such areas as AI, HCI, data curation, information policy, and network science. The iSchool at Illinois is home to an interdisciplinary doctoral program in information sciences and the top-ranked professional master’s program in library and information science. We also offer professional master’s programs in information management and bioinformatics, a licensure program in school librarianship, as well as an exciting undergraduate degree that reimagines a liberal arts education for a global information society. More information can be found at ischool.illinois.edu. Appointment Information This is a 100% full-time Academic position, appointed on a 9-month basis. The expected start date is August 16, 2024. Salary is commensurate with experience and qualifications. Application Procedures & Deadline Information To apply, please create a candidate profile at jobs.illinois.edu and upload a cover letter discussing your interest in and suitability for this position, cv, statements of research and teaching, and the contact information of three references. For full consideration, please apply by the priority deadline of 6:00 pm (CST on December 15, 2023. For further information about this specific position, please e-mail ischool@illinois.edu. For questions regarding the application process, please contact 217-333-2137. Faculty Recruitment - Dual Career Academic Couples Program Benefits - Living in Champaign-Urbana The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, COVID-19 vaccination requirement, and employment eligibility review through E-Verify. Applicants with disabilities are encouraged to apply and may request a reasonable accommodation under the Americans with Disabilities Act (2008) to complete the application and/or interview process. Requests may be submitted through the reasonable accommodations portal, or by contacting the Accessibility & Accommodations Division of the Office for Access and Equity at 217-333-0885, or by emailing accessibility@illinois.edu. Requisition ID: 1021454 Job Category: Faculty Apply at: jobs.illinois.edu

Carnegie Mellon University, Heinz College of Information Systems and Public Policy By Jennifer Monahan In the ever-evolving landscape of healthcare, technology has become an indispensable ally. Electronic records let physicians access patient information more easily. Phone apps and web-based tools allow users to schedule doctor’s appointments and check test results online. The Covid pandemic illustrated how tele-health appointments can be a crucial tool in connecting patients with doctors. One of the most promising – and fraught – advancements is the integration of artificial intelligence (AI) into the healthcare sector. The potential intersections of AI, machine learning/deep learning (ML/DL), and health care are many. Rema Padman, Trustees Professor of Management Science and Healthcare Informatics at Heinz College of Information Systems and Public Policy, has been focusing lately on three particular areas of study.  She recently sat down to share some of her research and to discuss the opportunities and challenges of AI in health care. Empowering Patients Through Digital Solutions One key application of AI in health care is the development of digital solutions that enhance health literacy – a significant but understudied challenge in healthcare delivery.“A health-literate patient is really an engaged patient, and an engaged patient has better outcomes,” Padman explained. “So how can we leverage these technologies and analytics to create solutions that would be informative and engaging for people to access, and simultaneously improve their knowledge about managing their conditions?”Digital therapeutics – using software and evidence-based insights to build digital solutions that aim to bring about behavior change – is one answer. When a doctor diagnoses a patient with an illness, the treatment often includes a prescription for medication. With digital therapeutics, the doctor might also prescribe a multi-media-rich video that explains the condition and another that helps the patient understand what the medication is, exactly when and how they should take it, and what the side effects might be. The videos are already out there.“We found that there are several million videos on health-related topics alone on YouTube,” Padman said. Some of that content is created by academic medical centers and large healthcare organizations like University of Pittsburgh Medical Center (UPMC), the Mayo Clinic, and Johns Hopkins University. No problem. Some of it is created by lay people with no medical training, but strong (and oftentimes erroneous) opinions about a particular illness or medical treatment. That’s a problem. Some of the videos, even from credible sources, might not take into consideration the specific needs of a particular population of people – such as dietary customs, nutritional needs, age, race, or gender. That can also be a problem. Asking an already overtaxed doctor to sort through thousands of videos about treating a urinary tract infection to find the best one for a particular patient is unrealistic. That’s where AI can help.“What we’re doing is using AI, ML/DL, and natural language processing to curate these videos,” Padman said.  “We are asking questions: Does the video contain accurate medical information? Is it understandable by the layperson? Is it at an eighth grade or a fifth-grade reading level? Is it laid out well? Is it audible? Is it short - under five minutes? Does it provide some kind of actionable guidance? Is it trustworthy? Is it fair and unbiased? Is it inclusive and representative?” AI for Global Good Professor Rema Padman shared insights about the use of AI in health care at an ML workshop in Geneva, Switzerland. The United Nations event accelerates Sustainable Development Goals. AI FOR GOOD GLOBAL SUMMIT The AI model Padman is helping to develop filters all that video content to find a shortlist of videos that fit these criteria. With that curated list, the medical practice can conduct a final review for accuracy and timeliness of content, and determine a few of the most pertinent videos about UTIs (or heart disease, or strep throat, or any other illness) that best fit their patient populations and keep them handy to prescribe when needed. Padman is one of the authors – an advisory group of 25 members including physicians, thought leaders, and technologists from around the world – of a recent publication in the National Academy of Medicine’s NAM Perspectives who have created criteria for evaluating the credibility of health-related online social media content produced by non-profit organizations, for-profit organizations, and individuals. The achievement is noteworthy because having formal, agreed-upon standards in place is a key step in establishing trustworthiness. Identifying credible sources is one challenge. Inclusivity and representation are similarly essential components. Currently, much of the content deemed reliable is created by domain experts at healthcare organizations. While women have entered these ranks, few of the health-related videos are narrated by women or people of color. Padman highlighted what that discrepancy might mean for patients as a “rapport” problem. As a person of South Asian descent herself, considering a patient who might be diagnosed with diabetes, Padman said that hearing information from a diabetes-educator, for example, who is familiar with South Asian cultural norms and food habits could help improve adherence to recommendations.“When I see videos that reference five food groups and so on, that's not aligned with the way my meals are made,” Padman said. “And studies have shown that, especially among African American populations, Latin populations, and others, rapport is very important for uptake of guidelines, prescriptions, and therapies.”When someone’s health is at stake, inclusivity and fairness can be matters of life and death. The video prescriptions are a helpful tool, but not a perfect antidote.“We cannot just blindly apply AI/ML and say the resulting videos are fully curated when it doesn't really meet the health-education needs of the population,” Padman explained. Explicitly evaluating the videos to improve inclusivity is one way Padman is trying to address and mitigate potential biases. Digital Vaccines: AI + Gamification for Pediatric Health Literacy Digital therapeutics can work for children as well as adults. Padman and FriendsLearn, the gamified mobile platform developer, have created a digital vaccine and are collaborating with researchers from CMU, the University of Michigan, Johns Hopkins University, Hofstra University, and Voluntary Health Services in India to evaluate this mobile health gamified platform that incorporates the science and technology of neurocognitive training and implicit learning via AI-enabled immersive gaming. It currently targets early childhood nutrition literacy, physical activity, and health-hygiene promotion in a fun and engaging way for kids; the project has the potential to expand to include other literacy needs such as mental health and wellness care. The goals are to improve healthy lifestyle knowledge, behavioral, and clinical outcomes. Like a traditional vaccine, digital vaccines are meant to prevent disease. The difference is digital vaccines work by orienting the brain toward healthy behaviors, rather than stimulating a physical reaction in the immune system. Fooya! The fooya! app targets early childhood nutrition literacy, physical activity, and health-hygiene promotion in a fun and engaging way for kids. DIGITAL VACCINE PROJECT Padman’s team did a randomized, controlled trial (RCT) with a low-resource school in India during the fall of 2022. Another RCT is underway with the UPMC Children's Hospital of Pittsburgh, focused on children with Type 1 diabetes. The results are promising, and the project has already garnered attention; the project won the 2022 Transformational Solutions – New Frontiers Award by the Financial Times and the World Bank's International Finance Corporation for pioneering deep tech breakthroughs with digital vaccines. AI for Improved Chronic Disease Management AI has the potential to be an invaluable tool in chronic disease monitoring and management. Risk assessment models enable healthcare providers to identify high-risk patients and tailor interventions accordingly, but the models also have ethical implications related to bias. Effective, unbiased models depend on large quantities of comprehensive, unbiased data. If the data source – say, one million electronic health records – lacks information about Black women with heart disease, the model could produce an inaccurate prediction of risk for that illness for a female Black patient. Effective tools also depend on technologists to ask the right questions, to identify potential blind spots that could result in bias, and to design AI models that result in equitable healthcare solutions. It’s a tall order. CMU’s Block Center for Technology and Society was formed to consider issues such as this one. For an example of how Rayid Ghani, Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy, has used ML to predict risk equitably for lead poisoning in children, make sure to check out this article. The benefits of developing equitable, transparent, safe, and secure AI models for risk prediction are worth the considerable cost and effort. Good information allows doctors to make the right prediction for the right individual at the right time – ultimately resulting in better outcomes for patients. Reducing a physician’s cognitive workflow is another potential benefit of AI. Currently, during a 15-minute visit with a patient, the doctor is often trying simultaneously to transcribe notes, complete insurance checklists, review past electronic health notes, and listen to the patient’s concerns. An AI system that could address the insurance requirements, summarize the patient’s history, and highlight key aspects for the doctor to cover during the appointment would allow more time and cognitive bandwidth for the physician to listen to and focus on the patient. Padman and her colleagues have focused on combining AI and optimization to minimize the cognitive workload that physicians experience while placing orders in hospital information systems. AI in Action: Interdisciplinary Team Triumphs One concrete example of how AI can solve complex problems in health care is a recent project to match breast cancer patients with appropriate clinical trials, completed by graduate students at Carnegie Mellon University and the University of Pittsburgh. The interdisciplinary team of Alexander Chih-Chieh Chang, Yuwei Guo, Shiqi Liang, Katelin Lauren Rimando Avenir, Aditya Singh, Rabira Tusi, and Anirudh Vaidhyaa Venkatasubramanian included students from Pitt-CMU’s joint MD-Ph.D. program as well as CMU master’s-level students studying design, information systems, health care analytics, and business intelligence and data analytics. Padman served as their faculty mentor. More than 80% of clinical trials struggle because of lack of patients. Among clinical trials that move forward, recruiting enough participants who fit the trial criteria and are representative of the larger population in terms of ethnicity and race is a significant challenge. The student team recently won first place and $35,000 in the Third Coast AI for Health Equity Bowl by developing a solution for these dilemmas. Their AIquitas  (pronounced “eye-keet-us”) tool utilized ML algorithms that intelligently compare patient records with clinical trial language and then evaluate compatibility scores. Team AIquitas Members of the team celebrate after finishing first, earning a $35,000 award. ABOUT TEAM AIQUITAS For all patients – and especially for people of color, because of the problematic history of unethical medical testing on racial minorities – having a trusting relationship with their physician is one important predictor in whether the patient might choose to participate in a clinical trial. With a tool like AIquitas, physicians would benefit from the efficiency and effectiveness of an automated trial-screening process, freeing up time that can be spent caring for and listening to patients. Patients would benefit from receiving personalized recommendations about which clinical trials are the best fit for them. Supported with such information, patients could more easily seek out trials directly if they wished. The endgame is that every patient could better access clinical trials, regardless of their socioeconomic status and race. The team is in the process of publishing their work; they hope to pilot the tool at the University of Pittsburgh Medical Center (UPMC) and eventually bring it to market. OPTIMIZING OPERATIONS WITH AI A third area where AI can be particularly effective is in streamlining operations within healthcare systems. Tasks such as scheduling or assigning patients to practice physicians could be accomplished efficiently with AI, if technologists could design the right parameters, ask the right questions, and use the right data. Patient needs are complex and unique. For example, an otherwise healthy 20-year-old might require a quick appointment and prescription for antibiotics to address an infection. An 80-year-old with underlying health conditions or comorbidities would need more time and attention from the physician to provide effective treatment for that same infection.“We really need to understand these clusters of patient pathways, different groups of patients requiring different sequences of activities, tasks, and needs,” explained Padman. “Once we understand the major categories of patients, then we can subsequently design efficient ways of tracking tasks and serving their healthcare needs.”Intelligent models could improve the clinical workflow – what Padman calls the “upstream to downstream” patient and clinician experience, from the time a patient calls to make an appointment throughout the care and follow-up process – taking into account whether the patient requires a specialist, has a preferred physician, is already being treated by multiple doctors, etc. An integrated and adaptive system that considers the unique characteristics of each patient has the potential greatly enhance the overall healthcare experience and outcomes. Why Getting it Right Matters “Health care touches everybody,” Padman said. The integration of AI into health care holds immense promise for the future. From empowering patients of all ages, to assisting physicians with chronic disease management, to optimizing operations, AI has the potential to reshape healthcare delivery. The stakes are high to implement AI tools in a way that benefits all populations – and does not perpetuate existing inequalities.“We have to think very deeply about these issues of accountability, ethics, liabilities, trustworthiness, and biases,” Padman said, “and of course, to always keep in mind underserved and disadvantaged populations.”AI’s transformative potential must be harnessed ethically and equitably, ensuring inclusivity, privacy, and responsible use. As AI continues to evolve, we stand at the precipice of a new era in health care, where technology and human expertise converge to improve patient and societal outcomes and redefine the possibilities of modern medicine.

Florida State University, School of Information Application Deadline: January 05, 2024. We are seeking faculty colleagues with interdisciplinary, sociotechnical systems research interests in the general area of health informatics. Candidates should be able to articulate a research agenda that fits within the broader research interests of the iSchool and demonstrate the ability to work effectively within a highly interdisciplinary environment and actively seek external funding. Successful candidates will be expected to conduct impactful research and teach in health informatics and one or more of the following areas: emerging applied artificial intelligence, human-centered data science, cybersecurity, human-centered computing, user experience (UX), or data management. 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 with teaching online, as well as face-to-face, is preferred. Faculty typically teach 2 courses per semester each academic year. All faculty members are expected to advise students and to serve on School, College, and University committees, and to be active in professional and academic organizations. Qualifications Qualified applicants will have a Ph.D. or equivalent doctorate in information science, biomedical and health informatics, information technology, computer science or another relevant discipline. Contact Info Inquiries should be directed to: Personnel Committee School of Information Florida State University Tallahassee, FL 32306-2100 Attn: LaToya Brown tel: 850-644-5775 email: lbrown5@fsu.edu How To Apply If qualified and interested in a specific Faculty job opening as advertised, apply to Florida State University at https://hr.fsu.edu/facultyjobs. If you are a current FSU employee, apply via myFSU > Self Service. Applicants are required to complete the online application with all applicable information. Applications must include education details even if attaching a Vita. The following items should be submitted as part of the application: A cover letter A curriculum vitae A research statement including interests, plans, and approach to securing external funding A teaching statement including plans and philosophy Up to three selected publications or preprints for review The names and contact information of three potential references Note: transcripts and up to three written letters of recommendation will be required of candidates selected for an interview. Considerations This is a Faculty position. This position requires successful completion of a criminal history background check. The preferred starting date is Fall 2024. This position is being advertised as open until filled. Review of applications will begin on November 15, 2023 and continue until January 5, 2024. To find the job posting on the FSU HR website, please use the Job ID number 56533.

University of Maryland - College Park, College of Information Studies Application Deadline: January 26, 2024. Candidates with interests in other innovative library-related topics are also encouraged to apply. We seek a candidate whose work complements and extends the College’s societal impact and methodological traditions that recognize the information norms and assets of members of historically marginalized communities. The successful candidate will engage in an active program of high-impact research, teach at the undergraduate and graduate level, provide research advising to students at all levels, and engage in service to the profession and shared governance within the university. This is an open-rank, tenure-track or tenured appointment. Tenure-track Assistant Professors are appointed for three years, with potential renewal for three more years and tenure review. Rank and appointment type are based on a candidate’s record. Salary and benefits are competitive and based upon qualifications. Tenure-track and tenured faculty typically have 9-month appointments, with opportunities for grant-funded research and university-funded teaching in the summer. For this position, the successful candidate will be involved in: Developing and conducting a high-impact research agenda and disseminating research results Designing and developing innovative information studies curricula Crafting exceptional educational experiences for students Contributing to relevant professional communities Participating in shared governance