Join iSchool faculty and students for the annual conference of the Association for Library and Information Science Education (ALISE), which will take place from September 24-26 in Knoxville, Tennessee. The theme of ALISE 2019 is "Exploring Learning in a Global Information Context." Dean and Professor Eunice E. Santos will provide welcoming remarks at the iSchool-sponsored School Representative's Breakfast at 7:30 a.m. on September 25.

Six iSchool instructors were named in the University's List of Teachers Ranked as Excellent for Summer 2019. The rankings are released every semester, and results are based on the Instructor and Course Evaluation System (ICES) questionnaire forms maintained by Measurement and Evaluation in the Center for Innovation in Teaching and Learning. pau

Professor Ted Underwood will present his research on machine learning at the University of Pittsburgh on September 19. His talk is part of the University's Sawyer Seminar, a year-long project funded by The Andrew W. Mellon Foundation that brings together a diverse range of practitioners and disciplinary specialists to analyze the co-evolution of data and method across more than a century.

Associate Professor Anita Say Chan presented her research at the Annual Meeting of the Society for the Social Studies of Science (4S 2019), which took place in New Orleans on September 4-7. The Society is an international, nonprofit association that fosters interdisciplinary scholarship in social studies of science, technology, and medicine (a field often referred to as STS). The theme of this year's meeting was "Innovations, Interruptions, and Regenerations."

Assistant Professor Jodi Schneider presented her research on argumentation mining at a doctoral workshop at the University of Fribourg in Switzerland on September 2-3. Her lecture and tutorials were featured during the University’s Language and Cognition program’s “Linguistic and Corpus Perspectives on Argumentative Discourse” workshop. Schneider discussed problem definitions, corpora, and argument annotation for mining arguments from text.