Location: Virtual, via the SCOOCS online conference platform
Conference Theme: Information for a Better World: Shaping the Global Future
ConfTool Submission and Registration Site: Users can visit the iConference 2022 ConfTool submission instance while it remains active.
SCOOCS online platform: Registered participants can log into the 2022 conferencing platform and presentation library while it is still active.
Official Papers Proceedings: See "Information for a Better World: Shaping the Global Future, 17th International Conference, iConference 2022" on Springer LNCS.
Posters Proceedings: IDEALS open repository
Total virtual participants: 350
Full Research Papers: 32 (acceptance rate 39%)
Early Career Colloquium Participants accepted: 25
Rates (listed in U.S. dollars):
Interactive Events (includes our former Workshops and Sessions for Interaction and Engagement tracks)
Conference Chairs: Eric Meyer, University of Texas at Austin; Kenneth R. Fleischmann, University of Texas at Austin; Kalpana Shankar, University College Dublin; Amber Cushing, University College Dublin; Yoichi Tomiura, Kyushu University; Emi Ishita, Kyushu University
iSchools Doctoral Dissertation Award Chair: Gillian Oliver, Monash University
Proceedings Chair: Malte Smits, Humboldt-Universität zu Berlin
Volunteers: Nishad Thalhath, University of Tsukuba; Martina Boyle, University College Dublin; Tokinori Suzuki, Kyushu University
Michael Seadle, Executive Director
Slava Sterzer, Business Manager
Clark Heideger, Director of Communications
Katharina Toeppe, Program Manager
Cynthia Ding, Social Media
iSchools Doctoral Dissertation Award
This award recognizes the most outstanding dissertation of the preceding year. Each member iSchool was invited to submit one dissertation for blind review by an international jury made up of iSchools leadership and faculty. The winner received $2,500 U.S., the two runners up received $1,000 U.S. each.
Mayara Costa Figueiredo, University of California, Irvine, Donald Bren School of Information and Computer Sciences
Data Work and Data Tracking Technologies in Fertility Care: A Holistic Approach
2022 RUNNERS UP
Mateusz Dubiel, University of Strathclyde, Computer and Information Sciences
Exploring the Impact of Conversational Strategies on User Search Experience in Goal-Oriented Tasks in a Voice-Only Domain
Priya Kumar, University of Maryland, College of Information Studies
From Oversharing to Sharenting: How Experts Govern Parents and Their Social Media Use
Lee Dirks Award for Best Paper
Sponsored in 2022 by Springer Nature and the iSchools, the Lee Dirks Award is presented to the author(s) of the conference’s most outstanding full research paper. The 2022 award included a prize of $1,000 U.S. This award honors the memory of Lee Dirks of Microsoft Research, long-time friend and supporter of the iConference. Click here for past winners.
2022 WINNING PAPER
Title: A Brief Typology of Time: Temporal Structuring and Dissonance in Service Provision for People Experiencing Homelessness (#214)
Authors: Stephen C. Slota, University of Texas at Austin; Kenneth R. Fleischmann, University of Texas at Austin; Sherri R. Greenberg, University of Texas at Austin
2022 RUNNERS UP (alphabetical by title):
Title: Access to Information Two Years After an ICT4D Project in Bangladesh: New Digital Skills and Traditional Practices (#145)
Authors: Viviane Frings-Hessami, Monash University; Anindita Sarker, Monash University
Title: Facial Recognition Interaction in a University Setting: Impression, Reaction, and Decision-making (#157)
Authors: Hengyi Fu, University of Alabama; Yao Lyu, Pennsylvania State University
Title: Identifying Machine-Paraphrased Plagiarism (#116)
Authors: Jan Philip Wahle, University of Wuppertal; Terry Ruas, University of Wuppertal; Tomáš Foltýnek, Mendel University in Brno; Norman Meuschke, University of Wuppertal; Bela Gipp, University of Wuppertal
Title: Internet access and bridging the digital divide: the crucial role of universal service obligations in telecom policy (#184)
Author: David McMenemy, University of Strathclyde
Best Short Research Paper
Title: Testing the Keystone Framework by Analyzing Positive Citations to Wakefield’s 1998 Paper (#189)
Authors: Amulya Addepalli, William Fremd High School and University of Illinois Urbana-Champaign; Karen Ann Subin, Naperville North High School and University of Illinois Urbana-Champaign; Jodi Schneider, University of Illinois Urbana-Champaign
Note: While this award has no cash prize, the iSchools awarded emerging authors Addepalli and Subin a pair of complimentary registrations to next year’s iConference, in recognition of their achievement and as encouragement to pursue their studies in the information field.
2022 RUNNERS UP, alphabetical by title
Title: Elapsed collective memory: Looking for the forgotten classic works in Library and Information Science (#224)
Authors: Yujia Zhai, Tianjin Normal University; Alec McGail, Cornell University; Ying Ding, University of Texas at Austin
Title: A Higher Purpose: Towards a Social Justice Informatics Research Framework (#250)
Authors: Zhasmina Tacheva, Syracuse University; Sepideh Namvarrad, Syracuse University; Najla Almissalati, Syracuse University
Title: Predicting the usage of scientific datasets based on article, author, institution, and journal bibliometrics (#156)
Authors: Daniel Acuna, Syracuse University; Zijun Yi, Syracuse University; Lizhen Liang, Syracuse University; Han Zhuang, Syracuse University
Title: Toward a Practice-Based Approach to Privacy Literacy (#167)
Author: Priya C. Kumar, Pennsylvania State University
ID #381: The Craft of Database Curation: Taking Cues from Quiltmaking
Authors: Alexandria Jane Rayburn, University of Michigan; Andrea K. Thomer, University of Michigan
2022 RUNNERS UP
ID #344: Co-Designing Data Labs at the Public Library: Data Literacy with, for, and by Teens
Authors: Leanne Bowler, Pratt Institute; Mark Rosin, Pratt Institute; Irene Lopatovska, Pratt Institute; Laura Vroom, Pratt Institute
ID #431: How Do Students from Different Disciplines Perceive the Concept of “Data”?: A Visual Elicitation Method
Authors: Tien-I Tsai, National Taiwan University; Yun-Chi Chang, National Taiwan University; Chieh-Ru Lin, National Taiwan University
ID# 307: Public Libraries’ service model for Community Open Data Engagement
Authors: Ayoung Yoon, Indiana University Indianapolis; Andrea Copeland, Indiana University Indianapolis
ID #383: Risk in the CoreTrustSeal Data Repository Certification Process:
Author: Rebecca D. Frank, Humboldt-Universität zu Berlin
Pictured left: Thorsten Beck's winning entry in the LIS In Pictures contest, one of many social events that took place during iConference 2022.
The following speakers made keynote presentations at iConference 2022.
Digital Libraries and Information Schools – Looking Back at Developments and Changes since the1990s
Biography: Shigeo Sugimoto is an Emeritus Professor at the University of Tsukuba. Sugimoto earned BE, ME and Ph.D. degrees from the Department of Information Science, Faculty of Engineering, Kyoto University, with specialization in software engineering and computer languages. His current research interests are technological and theoretical aspects of metadata in the cultural and historical domains, which include intangible cultural heritage, media arts, sports and natural disasters.
Sugimoto joined the University of Library and Information Science (ULIS) in 1983. ULIS became the Faculty of Library, Information and Media Science, University of Tsukuba after an institutional merger in 2002. He served as a faculty member at Tsukuba for more than 35 years, until his retirement in 2019. He is now a professor emeritus, University of Tsukuba. He is a former chair of the Asia-Pacific chapter of the iSchools organization.
Sugimoto first learned about the information school movement in North America when visiting the University of Pittsburgh and University of Michigan in mid-1990s. He explored many issues related to the movement through his research activities in digital library communities such as DLI, JCDL, and ICADL, and the Dublin Core Metadata Initiative (DCMI). He sought to build a network of people with interests in the information school movement in East and Southeast Asia, mainly based at ICADL and A-LIEP conferences when he was affiliated at the Research Center for Knowledge Communities, University of Tsukuba in early 2000s. Since that time, he has been actively involved in iSchools activities in the Asia Pacific region. Find more about Dr. Sugimoto on the University of Tsukuba website.
Presentation Abstract: Digital Libraries and Information Schools – Looking Back at Developments and Changes since the1990s
This talk is intended to reveal things which Shigeo Sugimoto has learned from his scholarly activities in the digital library and information school communities since the mid-1990s. Those years, from the middle 1990s to the early 2000s, were personally very exciting, as drastic changes were made directly or indirectly as a result of Digital Library Initiatives (DLI) hosted by NSF and other institutions, various developments of digital libraries and metadata, and the information school movement.
Over the past decades, digital devices to store and convey information contents have radically changed – from packaged media to networked media. The information and communication environments for scholarly activities have been transformed by the emergence of e-journals, open data, linked data, large datasets of cultural resources, and so forth. It is common for today’s users to find, access and download resources on the Internet from anywhere and at any time, which was simply a kind of dream in the 1990s. Obviously, these changes brought fundamental changes to libraries and LIS schools.
In this talk, Sugimoto will first mention his experiences which motivated him to start activities in the digital library and information school communities and his community building activities with colleagues at information schools in the Asia Pacific region. He will also mention his recent research activities on metadata models for cultural resources such as media arts including Manga (Japanese comics) and intangible cultural entities, focusing on the underlying changes of metadata, i.e., from item-centric description to content-oriented description.
Finally, Sugimoto hopes this talk will reignite some ideas from the past for the scholars and students of the next generations, to help them grow their communities and develop their scholarly activities.
Data Science and Artificial Intelligence for Better Governance and the Public Good
Biography: Helen Margetts OBE FBA is Professor of Society and the Internet in the Oxford Internet Institute (OII) at the University of Oxford, and Director of the Public Policy Programme at the Alan Turing Institute for Data Science and AI. From 2011-8 she was Director of the OII, a multi-disciplinary department of the University of Oxford and Director of the School of Public Policy, UCL (2000-4), and has degrees in Mathematics (BSc), Politics (MSc) and Government (PhD, LSE). She has researched and written extensively about the relationship between technology, government, politics and public policy, including Political Turbulence which won the Political Studies Association’s 2017 prize for best politics book. She received the Technical University of Munich’s Friedrich Schiedel prize (2018), the O.B.E for services to social and political science (2019), held a Senior Chair in Technology & Society at the Library of Congress (2019), became a Fellow of the British Academy in 2019 and won the Meyer-Struckmann Prize for research on Digitization and Democracy from the Heinrich-Heine-University Düsseldorf in 2020.
Presentation Abstract: Data Science and Artificial Intelligence for Better Governance and the Public Good
Data science and Artificial Intelligence (AI) have huge potential to improve public policy-making and governance, and hence the quality of citizens’ lives. These data-driven technologies and methodologies offer the possibility to reduce street crime and online harms; personalise healthcare and education to the needs of individual citizens; foresee financial crises and global pandemics; and allocate resources equitably, while optimising the use of organized expertise such as police and teachers. The last few years have seen a huge rise in interest from policy-makers in how AI can further economic and social prosperity. In the past, however, governments have struggled to maximise the potential of successive generations of information technology and may face similar challenges with the latest generation.
This talk discusses how governments might best develop and use data science and AI to foster government innovation, improve policy-making and further the provision of public goods. It shows how, exactly, methodologies such as machine learning, agent computing and data-centric AI can help policy-makers with the tasks of detection, measurement, prediction, personalisation and simulation, all needed for core government functions. It explains how the Alan Turing Institute built up the Public Policy Programme to work with policymakers on the use of data science for these tasks, and presents some of the Programme’s research. It discusses the kind of ethical frameworks that are essential in developing responsible data science and AI in public settings. Finally, it shows how data science and AI might have been used to make better decisions and design policy interventions during the pandemic. Building generalised, integrated models and fine-grained, real-time data flows could help to foster more resilient policy-making to face future shocks. Ultimately, data science and AI developed explicitly for the public sector might help government to become more robust, adaptive, equitable, prescient, and fair than ever before.
Structure, Scale, and Time. iSchools, Artificial Intelligence, and which Future
Biography: Batya Friedman is a Professor in the Information School and holds adjunct appointments in the Paul G. Allen School of Computer Science & Engineering, the School of Law, and the Department of Human Centered Design and Engineering at the University of Washington where she co-founded the Value Sensitive Design Lab and the UW Tech Policy Lab. Dr. Friedman pioneered value sensitive design (VSD), an established approach to account for human values in the design of technical systems. Her work in value sensitive design has resulted in robust theoretical constructs, dozens of innovative methods, and practical toolkits such as the Envisioning Cards. Value sensitive design has been widely adopted nationally and internationally where it has been used in architecture, biomedical health informatics, civil engineering, computer security, energy, global health, human-computer interaction, human-robotic interaction, information management, legal theory, moral philosophy, tech policy, transportation, and urban planning, among others. Additionally, value sensitive design is emerging in higher education, government, and industry as a key approach to address computing ethics and responsible innovation. Today, Dr. Friedman is working on open questions in value sensitive design including multi-lifespan design, and designing for and with non-human stakeholders – questions critical for the wellbeing of human societies and the planet.
Dr. Friedman’s 2019 MIT Press book co-authored with David Hendry, Value Sensitive Design: Shaping Technology with Moral Imagination, provides a comprehensive account of value sensitive design. In 2012 Dr. Friedman received the ACM-SIGCHI Social Impact Award and the University Faculty Lecturer award at the University of Washington, in 2019 she was inducted into the CHI Academy, in 2020 she received an honorary doctorate from Delft University of Technology, and in 2021 she was recognized as an ACM Fellow. She is also a stone sculptor and mixed media artist. Dr. Friedman received both her B.A. and Ph.D. from the University of California at Berkeley.
Presentation Abstract: Structure, Scale, and Time. iSchools, Artificial Intelligence, and which Future
Structure helps shape futures. We act within existing structure in the now, from which futures unfold across time and scale. These observations drawn from my decade long work in multi-lifespan design lie at the core of my remarks. In this keynote, I will unpack these observations and their implications. Then I will apply them to two different topics: the future of Information Schools; and commitments to artificial intelligence and machine learning technologies. In both cases, I will use these observations to show what is in place with current structures, what we can anticipate unfolding over time given current expectations for scale, challenges arising from structure, our professional responsibilities, and, in some instances, constructive ways forward.
I conclude where I began, with structure. What structures, then, should we build?