2021’s LIS B conference, like many things this year, required some changes. As we moved the conference online, we had to figure out which platform would be the easiest to use for presenters and attendees, how best to accommodate presenters in multiple time zones, and what we would do if all of the more than 300 registrants actually showed up on each day.
Moving the conference online meant that we were able to have committee members, presenters, and attendees from around the world. As someone who was organizing and attending the conference in the western half of Canada (UTC/GMT -6 hours), the first hour did require the addition of 2 espresso shots in my earlier than normal morning coffee, but once the keynotes began, I was quickly drawn into what I was listening to and learning about.
Our survey of attendees and presenters found that the vast majority would recommend the conference to a colleague and the wide variety of practical presentations were appreciated. For those unable to attend or who would like to review any of the presentations, recordings for the conference are available on our YouTube channel, and links to the slides and videos are below.
We would like to once again thank all of our presenters for making the conference into a stellar and memorable event.
And I would like to personally thank all the members of this year’s organizing committee: Zosia Beckles, Alicia Gomez, Stephen Grace, Katharine Hancox, Mei Ling Lo, Silvia Dobre, and Katrine Sundsbo, who made what could have been a painful process into something that was fun and uncomplicated.
LIS B Conference 2021: New tools and new technologies: bibliometrics in action for a new decade
Day 1: April 28, 2021
Next Generation Metrics – A White Paper by CESAER
Ingrid Bauer, TU Wien
Where AI and IQ meet: can researchers and bibliometricians trust classifications of citations by algorithms? – a case study
Shiobhan Smith, University of Otago
Using Machine Learning Methods to Refine a (Health Equity) Publication Set for Bibliometric Analysis
Barrie Hayes, Adam Dodd & Michelle Cawley, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Health Sciences Library
Using CADRE to support Large Scale Bibliometric Studies
Samuel Hansen, University of Michigan Library
Mind The Sustainability Gap: Thoughts from Developing a Metric for Journals and SDG
Simon Linacre, Cabells
Using Machine Learning to analyse research in the context of Sustainable Development
Juergen Wastl, DigitalScience
CRediT – Where next for the contributor role taxonomy?
Simon Kerridge, University of Kent
Open Editors: A New Data and Its Challenges
Andreas Pacher, TU Wien Bibliothek
Bibliometrics in context: a personalised action plan for time-poor academics
Vicky Wallace, University of Birmingham Library Services
Using the Altmetric Explorer for Responsible Metrics as an Author for Research Output Impact Statements and Research Environment Case Studies
Ernesto Priego, University of London
A systematic review on how machine learning has been applied to bibliometrics
Fei Yu, University of North Carolina at Chapel Hill
Biblioshiny: A Comprehensive Science Mapping App for Systematic Literature Review
Corrado Cuccurullo, University of Campania L. Vanvitelli