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AbGradCon 2021: lessons in digital meetings, international collaboration, and interdisciplinarity in astrobiology

Published online by Cambridge University Press:  06 July 2022

Tony Z. Jia*
Affiliation:
Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan Blue Marble Space Institute of Science, 1001 4th Ave., Suite 3201, Seattle, Washington, 98154, USA
Kristin N. Johnson-Finn
Affiliation:
Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
Osama M. Alian
Affiliation:
Department of Microbiology & Molecular Genetics, Michigan State University, 288 Farm Lane, East Lansing, Michigan, 48824, USA
Irene Bonati
Affiliation:
Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan Netherlands Institute for Radio Astronomy (ASTRON), Oude Hoogeveensedijk 4 7991 PD Dwingeloo, The Netherlands
Kosuke Fujishima
Affiliation:
Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa-shi, Kanagawa 252-0882, Japan
Natalie Grefenstette
Affiliation:
Blue Marble Space Institute of Science, 1001 4th Ave., Suite 3201, Seattle, Washington, 98154, USA Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, New Mexico, 87501, USA
Thilina Heenatigala
Affiliation:
Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan National Astronomical Observatory of Japan, 2 Chome-21-1 Osawa, Mitaka, Tokyo 181-8588, Japan
Yamei Li
Affiliation:
Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
Natsumi Noda
Affiliation:
Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan Department of Earth and Planetary Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
Petar I. Penev
Affiliation:
Innovative Genomics Institute, University of California, Berkeley, 2151 Berkeley Way, Berkeley, California, 94720, USA
Paula Prondzinsky
Affiliation:
Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
Harrison B. Smith
Affiliation:
Earth-Life Science Institute, Tokyo Institute of Technology, 2-12-1-IE-1 Ookayama, Meguro-ku, Tokyo 152-8550, Japan
*
Author for correspondence: Tony Z. Jia, E-mail: tzjia@elsi.jp
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Abstract

The Astrobiology Graduate Conference (AbGradCon) is an annual conference both organized for and by early-career researchers, postdoctoral fellows, and students as a way to train the next generation of astrobiologists and develop a robust network of cohorts moving forward. AbGradCon 2021 was held virtually on 14–17 September 2021, hosted by the Earth-Life Science Institute (ELSI) of Tokyo Institute of Technology after postponement of the in-person event in 2020 due to the COVID-19 pandemic. The meeting consisted of presentations by 120 participants from a variety of fields, two keynote speakers, and other career-building events and workshops. Here, we report on the organizational and executional aspects of AbGradCon 2021, including the meeting participant demographics, various digital aspects introduced specifically for a virtual edition of the meeting, and the abstract submission and evaluation process. The abstract evaluation process of AbGradCon 2021 is unique in that all evaluations are done by the peers of the applicants, and as astrobiology is inherently a broad discipline, the abstract evaluation process revealed a number of trends related to multidisciplinarity of the astrobiology field. We believe that meetings like AbGradCon can provide a unique opportunity for students and early career researchers in astrobiology to experience community building, inter- and multidisciplinary collaboration, and career training and would be a welcome sight in other fields as well. We hope that this report provides inspiration and a basic roadmap for organizing future conferences in any field with similar goals.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Fig. 1. The AbGradCon 2020 (left) and AbGradCon 2021 (right) conference logos. Designed by Lucy Kwok (http://be.net/thislucykwok).

Figure 1

Table 1. 14 September session schedule

Figure 2

Table 2. 15–17 September session schedule

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Fig. 2. Wordclouds (wordclouds.com) representing the frequency of words within the attendees' (a) abstract titles and (b) abstract text.

Figure 4

Table 3. Regions of residence of AbGradCon 2021 participants

Figure 5

Table 4. Fields of abstracts presented at AbGradCon 2021, as self-reported by the presenters

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Fig. 3. Comparison of Virtual Meeting Space in Gather.town versus The Original Proposed Meeting Space at ELSI, Tokyo Institute of Technology.

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Fig. 4. Various demographic information about the applicants. (a) Region of residence. (b) Primary Field of submitted abstract (self-reported). (c) Career level.

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Table 5. Total number of evaluators in different demographic categories (self-reported)

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Table 6. Statistics of evaluations of abstracts sorted by category (as determined by evaluators)

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Table 7. Demographics statistics of all submitted abstracts (mean score of all evaluated abstracts was 12.1)

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Table 8. Sub-field statistics of all submitted abstracts (mean score of all evaluated abstracts was 12.1)

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