Pre/Post-Conference Tutorials & Workshops

SATURDAY, 10 NOVEMBER

9:00 am – 5:00 pm
The 14th Annual Social Informatics Research Symposium: Sociotechnical perspective on ethics and governance of emerging information technologies (SIG-SI)
Emad Khazraee, Kent State University ; Colin Rhinesmith, Simmons College; Catherine Dumas, University at Albany; Jenny Bossaller, University of Missouri; Rachel Simons, University of Texas; Aylin Ilhan, Universität Düsseldorf; Isabelle Dorsch, Universität Düsseldorf

The Information Ethics and Policy, Social Informatics, and Social Media SIGs propose a full day pre-conference workshop on the topic of ethics and governance of emerging information technologies. Technologies, such as artificial intelligence and virtual reality, which only recently were relegated to the realm of science fiction, now blend into our work and social lives. We embrace massive data sets of surreptitiously collected data for our own research as we endure news stories about unwanted data collection and security breaches. This workshop brings together speakers across the information disciplines to critique and discuss ethics, writ large, of new technologies.

1:00 pm – 5:00 pm
Coordinating Scholarship in Searching as Learning (SIG-Infolearn)
Rebecca Reynolds, Rutgers University;  Eric Meyers, University of British Columbia; Sam Chu, University of Hong Kong; Caroline Haythornthwaite, Syracuse University

Conversations and collaborations in the research area of “Searching as Learning” advance research agendas in human learning and knowledge-building to help further inquiry and human information-seeking research and development. ASIST’s new Special Interest Group, SIG Information and Learning Sciences (SIG InfoLearn) was initiated and launched in Spring of 2017, and hosted a first-year pre-conference workshop to inaugurate the new SIG. Given the success of the first year workshop, we propose to host a follow-up workshop event at the 2018 conference, focused on “Searching as Learning,” to offer scholars whose work falls in this research domain the opportunity to network and engage with one another, share in-progress research study works, and receive feedback from peers and a panel of experts.

1:00 – 5:00 pm
Culture, Community, and Voice in Knowledge Organization Systems (SIG-CR)
Robert D. Montoya, Indiana University, Bloomington; Lala Hajibayova, Kent State University; Shavonn Matsuda, University of Hawaiʻi Maui College; Laura Ridenour, University of Wisconsin-Milwaukee; Maayan Zhitomirsky-Geffet, Bar-Ilan University

In response to the theme of this year’s conference, SIG/CR seeks to more-deeply examine the ethical and human- and community-centered implications of knowledge organization (KO) systems as they are embedded in technological and institutional spaces. In specific we ask, How do KO systems define, liberate, or restrict the capacities (access to information, creation of identity, ability to mobilize, etc.) of communities and/or individuals?

First Nations and indigenous communities will be of particular concern, but any community perspective is welcome, including, marginalized, ethnic, and immigrant populations; gender, economic, and sexual minorities, etc. Community can also reference professional, educational, or other situated communities or groups that are affected by knowledge organizing structures in some capacity. Perspectives on ecological communities would also be very welcome, broadening our discussion into domains often overlooked in studies of KO and technology.

8:00 am – 12:00 pm
HIV Status Disclosure on Geosocial-Networking Apps: Data Ethics, Security, and Privacy Concerns
Megan Threats, University of North Carolina at Chapel Hill

Geosocial-networking apps (e.g., Grindr, Jack’d) and sexual networking sites (e.g., Black Gay Chat, Adam4Adam) are often used by gay, bisexual, trans, and queer men in the USA to identify sexual partners. Use of these online applications has been associated with increased sexual risk behavior. In efforts to reduce risk for HIV infection and minimize the stigma of HIV testing among app users, some apps have incorporated features that allow users to include their HIV status and last HIV test date in their user profiles. Recently it was discovered that some app companies have been sharing its users’ HIV status with third-party applications. This discovery raises data ethics, security, and privacy concerns that hold important implications for the use of mobile apps for HIV prevention.

9 am – 5 pm
Information Ethics and the Future
George Buchanan, University of Melbourne; Dana McKay, University of Melbourne; Cosmin Munteanau, University of Toronto Mississauga

The recent case of Cambridge Analytica demonstrates just how complex issues of information ethics can be. The data used to potentially alter the course of an election was gathered by an academic, under a license from a commercial organization intended to facilitate academic work, then provided to a second commercial organization. That organization then repurposed the data to influence voter opinion for commercial gain. While this is an egregious example of ethical challenges in information use, similar, smaller challenges are played out daily during research involving data on and about humans. Moreover, governments and commercial organizations hold more data about individuals than ever before. Library and information science has long addressed issues of data openness and privacy of information users, and as such is uniquely positioned as a discipline to address these modern challenges. This workshop is aimed at exploring issues of ethics in information use, by researchers, public institutions and commercial organizations, with a view to developing a new understanding of information ethics. This workshop will revisit this long-standing need to focus on ethics in the light of new risks that are emerging from the large-scale availability of personal data, and the ready availability of contended and contentious information.

8:00 am – 12:00 pm
Introduction to Critical Metadata for Practitioners
Deborah Maron, University of North Carolina at Chapel Hill; John D. Martin, III, University of North Carolina at Chapel Hill; Nannette Naught, Innovative Interfaces, Inc.; Erin Carter, Cisco Systems

Individuals working in metadata, an information phenomenon that deals in all manner of description, representation, and retrieval, are often encouraged on the job to focus on technically pragmatic matters, leaving little opportunity to explore and reflect on the social, ethical and political implications of their practice. In this workshop, entitled “Introduction to Critical Metadata for Practitioners,” we provide critical praxis for practitioners from metadata-dependent fields as diverse as cataloging, archiving, search algorithm design, web design, digital humanities, database design, and professional metadata (e.g., Linked Data and other schema/standards development work). This will help practitioners to (re)consider larger existing metadata systems as pieces of material discourse with power implications, and think about how they as metadata professionals presently approach their own work and what they might do differently (or “reflexively”) if encouraged to use critical apparatuses for thinking and practice.

9:00 am – 5:00 pm
Knowledge Services: Expanding your Role and Ensuring Career Success
Dale Stanley, Deb Hunt
Association for Information Science & Technology, United States of America

What’s the next step in your career? Are your skills and passions aligned with what will be in demand in the workplace? In this brief conversation with two experts, we explore how a proven business concept, when combined with a simple model of career effectiveness, can create powerful career development strategies that have helped hundreds of information professionals expand their roles and increase their impact without sacrificing the job satisfaction and passions that led them to this profession in the first place.

9:00 am – 5:00 pm
Metrics 2018: Workshop on Informetric and Scientometric Research (SIG-MET)
Neil Raymond Smalheiser, University of Illinois at Chicago; Timothy Bowman, Wayne State University; Phillippe Mongeon, Université de Montréal

We propose a full day workshop, sponsored by SIG/MET, devoted to informetrics and scientometric research. This workshop will provide a forum for the presentation and discussion of research and applications including new theoretical approaches, indicators, and tools among young and established researchers, PhD students, information professionals and librarians active in the field of informetrics and scientometrics.

1:00 – 5:00 pm
Moving Toward the Future of Information Behavior Research and Practice: 18th Annual SIG-USE Research Symposium
Annie T. Chen, University of Washington School of Medicine; Melissa G Ocepek, University of Illinois Urbana-Champaign; Devendra Potnis, University of Tennessee at Knoxville; Yiwei Wang, Rutgers University

The 18th Annual SIG-USE Research Symposium focuses on the future of information behavior research. This Symposium is an opportunity for faculty, students, researchers, and information professionals, who are interested in information behavior and practices research and in the translation of findings from this research area into professional practice. Major goals include facilitating information exchange between and among scholars and information professionals, serving as a forum for scholars and professionals new to this area to engage critically with the theme, and for scholars and practitioners alike to receive feed-back on preliminary work and works-in-progress. Participants will engage in dynamic break-out discussion sessions as they consider Short Paper and Poster presentations that focus on different aspects of the future of information behavior research, including but not limited to actors/users, applications, contexts and various methods of information behavior research.

8:00 am – 12:00 pm
Professional Development Strategies for Information Science Faculty
Irene Lopatovska, Pratt Institute; Denise Agosto, Drexel University; Heidi Julien, University at Buffalo; Ehsan Mohammadi, University of South Carolina; Joseph Tennis; University of Washington

The workshop aims to offer professional development guidance to the current and future information science (IS) faculty. The workshop continues the conversation that started at the 2016 and 2017 ASIS&T Annual Meetings (Lopatovska et al., 2016; Lopatovska, O’Brien et al., 2017) and identified IS faculty needs in the areas of scholarship, teaching, service, and professional well-being. This workshop on professional development resources and strategies for IS academics will be of interest to faculty, doctoral students and academic administrators.

WEDNESDAY, 14 NOVEMBER

9:00 am – 5:00 pm
Big Metadata Analytics: Setting A Research Agenda for the Data-Intensive Future 
Jian Qin, Syracuse University; Chaomei Chen; Drexel University Jeff Hemsley, Dietmar Wolfram, University of Wisconsin – Milwaukee

Big metadata from research data repositories, catalog systems, and indexing databases is a unique data source for studying collaboration, science history, knowledge diffusion, and many other phenomena emerged from the knowledge creation pro-cess and offers opportunities for building theories and methodologies for a new research area. The big metadata’s quality and readiness for analysis, however, is a major obstacle for using this vast data source for research. This workshop will bring together researchers who have used or are using big metadata in their projects to share their research methods and findings. Through group discussions, participants will develop a research agenda for big metadata analytics.

8:00 am – 12:00 pm
Building a Foundation for Integrating AI and Text Analytics
Tom Reamy, KAPS Group, United States of America

While new AI techniques are generating a lot of press, they have some severe limits when applied to text rather than pattern-based perception. These limits can be overcome with the addition of a range of text analytics techniques – text mining, machine learning, noun phrase extraction, auto-categorization, auto-summarization, and social media/sentiment analysis. The essential trick is how to integrate two very disparate fields that barely speak the same language. This workshop, based on the recent book, Deep Text: Using Text Analytics to Overcome Information Overload, Get Real Value from Social Media, and Add Big(ger) Text to Big Data, will take attendees through the entire process of creating a text analytics foundation that provides the means for that integration. The workshop will include exercises designed to deepen the participant’s appreciation for the practical process of building text analytics applications and, at the same time, exemplify some of the key theoretical issues.

1:00 – 5:00 pm
Deep Learning for Social Media Processing
Muhammad Abdul-Mageed, University of British Columbia

Deep learning, an approach to machine learning inspired by information processing in the human brain, has recently broken records on a range of tasks (e.g., speech recognition, machine translation). Be it it’s use in self-driving cars or health and well-being; the technology is transforming many aspects of our lives. Deep learning is also currently a multi-billion-dollar industry, and its applications are expected to have far-reaching impacts in many fields and domains, including those tightly related to information science and technology. Especially due to its large volume and availability, social media data lend themselves to a wide range of deep learning tasks. This tutorial will introduce use of deep learning for processing social media, with a focus on tasks like emotion detection, sentiment analysis, and detection of fake news.

8:00 am – 12:00 pm
Developing a Meaningful and Sustainable Research Identity
George Buchanan & Dana Mckay, University of Melbourne

This tutorial is focused on early career researchers and will address a range of issues of identity. It is not a branding workshop, rather it is aimed at helping novice researchers understand what is important to them about their research and reflect that in the way they publish. Participants will learn about the importance of author names and select their own with evidence-based guidance. They will learn–with examples and exercises–the ways in which publication titles reflect venue and author as well as publication, and how they can be used to attract the right reviewers and readers. Finally, participants will learn how to write abstracts that reflect not just their work, but their research ethos, further attracting the right readers and reviewers.

8:00 am – 12:00 pm
Github Pages as a Learning Management System for IS Education
Elliott Hauser, UNC Chapel Hill, United States of America

Github pages is a simple yet powerful static website hosting service. With a little set up, it can be turned into an excellent learning management tool for a variety of information science subjects. By using Github’s web-based collaboration flow, students can directly contribute posts to a collaborative website. Using a Markdown-enabled web editor, students can report on their progress on assignments, post personal reflections, or continue class discussions. The collaborative merging of Pull Requests introduces students to a valuable professional skill that project managers, designers, and, of course, developers will use daily in technical careers. This is an excellent addition to programming, database, data analsys, and other technical courses, and can even be used in non-technical courses if desired. Participants will be led through posting to a shared website and will leave with their own site, ready to customize for their own teaching.

9:00 am – 5:00 pm
Information experience design: uniting information research with practice
Kate Davis, University of Southern Queensland; Elham Sayyad Abdi; Queensland University of Technology

This tutorial introduces the related concepts of information experience (IX) and information experience design (IXD). Information experience explores how people engage with information in a given context, while information experience design is an approach to designing interventions to improve user experiences of information, informed by information experience research.

Over the past several years, library and information organisations have adopted methodologies like design thinking to design their services, spaces, products, and programs. These methodologies put the customer at the centre of design process, but do not necessarily focus on the information component of their experience. Information experience design bridges that gap by marrying design methodologies with our disciplinary knowledge about people’s information experience to improve or enhance those experiences.

This tutorial will equip participants with tools and strategies for understanding users’ everyday information experience and designing interventions that enhance those experiences. Participants will work with real data to extract insights about a user’s information experience and use these insights in an information experience design process. Participants will leave this workshop with knowledge of the information experience research landscape, approaches to information experience research, an information experience design toolkit, and practical experience working through a design process.

9:00 am – 5:00 pm
Understanding, Visualizing, and Managing Research Data (SIG-DL)
Ekatarina Grguric & Nushrat Khan, McGill University

Data skills are growing in importance and competencies vary widely in different areas of the information profession. The goal of this tutorial is to introduce early career practitioners to best practices and common strategies in working with, understanding, visualizing, and managing research data while illustrating an approach to further developing these data skills. Knowing how to effectively collect data to answer a research question is one piece of the puzzle and it is easy for early career practitioners to be overwhelmed with the abundance of tools available to them to then work with the collected data. Often these tools also have a high learning curve and require significant time commitment. Rather than surveying many different tools, we have chosen to focus on a few and outline workflows that cover different kinds of data and best practices in managing it.

1:00 pm – 5:00 pm
Using Word2vec and Node2vec Algorithms in Information Science
Yi Bu, Indiana University;  Yong Huang, Wuhan University; Ying Ding, Wuhan University

Word2vec is a group of related models that are used to produce word embeddings. These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words. Node2vec is an algorithmic framework for representational learning on graphs (networks). Given any graph, it can learn continuous feature representations for the nodes, which can then be used for various downstream machine learning tasks. Words and networks are the main focuses of Word2vec and Node2vec, respectively. Learning how to involve and implement Word2vec and Node2vec is of importance to information scientists, because words and graphs (networks) are two typical objectives researched in Information Science, such as the output of a qualitative interview in a human information behavior study (words) and scholarly relationships extracted from scientometrics (networks). This tutorial will show the principle of the two algorithms and provides step-by-step hands-on instructions. More discussions on how to involve them in real information science research will also be triggered.