UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Report on Coalgebraic Methods in Computer Science 2022

Hansen, Helle H; Zanasi, Fabio; (2022) Report on Coalgebraic Methods in Computer Science 2022. ACM SIGLOG News , 9 (3) pp. 61-62. 10.1145/3559736.3559742. Green open access

[thumbnail of Zanasi_siglog-report-cmcs22.pdf]
Preview
Text
Zanasi_siglog-report-cmcs22.pdf - Accepted Version

Download (13MB) | Preview

Abstract

The 16th edition of the IFIP WG 1.3 International Workshop on Coalgebraic Methods in Computer Science (CMCS 2022) took place in Munich on Saturday April 2 and Sunday April 3, 2022, as a satellite event of the European Joint Conference on Theory and Practice of Software (ETAPS 2022). As chairs of the workshop, it was a great pleasure for us to run the workshop as an on-site event after a long hiatus due to the COVID pandemic. The workshop was, in fact, a hybrid event, allowing both speakers and registered participants to participate remotely, but in-person participation was strongly encouraged, partly through ETAPS registration fees being the same for online and on-site participation. Up until just a few weeks before the workshop, the COVID situation in Munich was still quite uncertain, and we did not know how many people would attend on-site or at all, so we were extremely happy to find that the large majority of speakers and participants chose to travel to the event, which ensured a lively and engaging atmosphere. The workshop had circa 40 participants of which 5 participated online (with an attendance of 20--30 throughout the sessions). This made CMCS the second-largest workshop at ETAPS 2022. The hybrid setup did pose some technical challenges, but it was much appreciated, and without the option of presenting on-line at least three of the talks would have had to be cancelled. A hybrid format will be considered also for future editions of the workshop.

Type: Article
Title: Report on Coalgebraic Methods in Computer Science 2022
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3559736.3559742
Publisher version: https://doi.org/10.1145/3559736.3559742
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10161213
Downloads since deposit
33Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item