Virtual workshop sponsored by ASIS&T SIG/MET
ASIS&T 2022 Annual Meeting
- Part I: Saturday, October 8, 2022, 8:00 a.m. – 12:00 p.m. EDT
- Part II: Sunday, October 9, 2022, 8:00 a.m. – 12:00 p.m. EDT
CALL FOR ABSTRACTS
The ASIS&T Special Interest Group for Metrics (SIG/MET) invites contributions to the METRICS 2022 workshop, which will be held prior to the 85th ASIS&T Annual Meeting.
The workshop continues the successful SIG/MET workshop series held annually since 2011 by providing an opportunity to present and discuss research related to the measurement of knowledge production, dissemination, and use among experienced researchers, young academics, and practitioners. We invite abstracts describing empirical or theoretical work related, but not limited to:
- Bibliometric-enhanced information retrieval
- Open access
- Open science
- Patent analysis
- Quantitative science studies
- Research evaluation
- Scholarly communication
- Science communication
- Science of science
The following four types of submission are accepted:
- Research presentations, for completed or in-progress research. [Presentation]
- Posters for work in early stages or best presented visually. [Poster]
- Tutorials for practical information on a tool or method. [Tutorial]
- Panels for discussions on a specific topic. [Panel]
Please indicate the type of submission by naming the file in the following format: Metrics22_First Author’s Last Name + First Name Initials_Submission Type (e.g., Metrics22_ChenPY_Presentation). All submissions should be in the form of a two-page extended abstract using APA style and formatted according to the AM22 Proposal Template Instructions. Where appropriate, up to three figures/tables can be provided. Do not include any author names on the file you upload.
The abstracts of accepted papers and posters, as well as the presentation slides, will be deposited on Zenodo to enhance visibility and retrievability of presented research.
Please submit your abstract as a PDF to https://easychair.org/conferences/?conf=metrics2022
Submissions will be evaluated by at least two independent reviewers based on their relevance to the workshop and their methodological soundness (where applicable), and brief feedback will be given in narrative format.
Thanks to the generous sponsorship from the International Center for the Study of Research (ICSR), the workshop will present the Best Student Paper Awards and Best Paper Award this year to recognize the excellence of the presenting work (excluding posters).
Up to three awardees will be selected for the Best Student Paper Awards. To be considered for the best student paper, the first author of the paper entered into this contest must be a full-time student at the time of submission, irrespective of ASIS&T or SIG/MET membership. Please also indicate Student on the name of the submitted file, e.g., Metrics22_ChenPY_Presentation_Student, even if the co-authors are non-student.
One best paper will also be selected from all accepted papers regardless of their topic. However, to ensure fairness, a paper cannot be awarded both as best paper and best student paper at the same time. In other words, if a student paper is selected to be the best paper, it will not be considered for the best student paper awards.
The winners of both awards will be decided by a double-blind peer review process from the eligible accepted submissions. The awards will be decided before the presentations take place, but the authors must present at the workshop to qualify. We offer a cash prize of $500 for the Best Paper Award and $250 for the Best Student Paper Award.
- Submissions due: Friday, July 22th, 2022 EDT
- Notifications: Friday, August 19th, 2022 EDT
In an effort to provide an open venue for communication and discussion on metrics-related research, we are offering free registration for ASIS&T members and discounted registration fees for non-members this year.
|Early (by August 12)||$0||$0||$25||$10|
|After August 12||$25||$25||$50||$35|
More information on registration rates can be found at https://www.asist.org/am22/22registration/.
- Pei-Ying Chen, Indiana University, Bloomington, Indiana, USA (email@example.com)
- Isabelle Dorsch, Heinrich Heine University Düsseldorf, Düsseldorf, Germany (isabelle.dorsch.hhu.de)
- Fei Shu, Hangzhou Dianzi University, Hangzhou, China; Université de Montréal, Montréal, Canada (firstname.lastname@example.org)