Integrating environmental sustainability into bioinformatics training and its delivery

          @misc{ scivideos_oai:cds.cern.ch:3025573,
            doi = {},
            url = {https://videos.cern.ch/record/3025573},
            author = {},
            keywords = {},
            language = {en},
            title = {Integrating environmental sustainability into bioinformatics training and its delivery},
            publisher = {},
            year = {2026},
            month = {may},
            note = {oai:cds.cern.ch:3025573 see, \url{https://scivideos.org/cern-cds/3025573}}
          }
          

Abstract

At the European Bioinformatics Institute (EMBL-EBI), we support bioinformatics efforts through research, data services, and training. Training plays an essential role in shaping how biodata scientists design analyses, access data, and utilise computational infrastructure. An aim of EMBL-EBI Training is not only to teach bioinformatic tools, but also their responsible use. In this talk, we present ongoing work to embed green computing principles across our activities. This includes: (1) developing new training content, such as the "Sustainable computing in science" on-demand course published in January 2026; (2) integrating sustainability into already existing courses; and (3) exploring ways to monitor and reduce the impact of our live courses, both computationally and operationally. We aim to share practical lessons and open discussion on encountered challenges, such as audience prioritisation, addressing gaps in trainer expertise, and integrating sustainability as standard practice rather than an add-on, making it a core component of scientific training.

00:00:00 Slide 1
00:00:24 Slide 2
00:01:27 Slide 3
00:01:58 Slide 4
00:02:38 Slide 5
00:03:07 Slide 6
00:04:20 Slide 7
00:05:14 Slide 8
00:06:33 Slide 9
00:07:37 Slide 10
00:09:13 Slide 11
00:10:16 Slide 12
00:10:47 Slide 13
00:11:47 Slide 14
00:13:26 Slide 15
00:14:48 Slide 16
00:15:05 Slide 17
00:15:18 Slide 18
00:15:57 Slide 19
00:17:33 Slide 20
00:18:00 Slide 21
00:18:28 Slide 22
00:18:58 Slide 23
00:19:56 Slide 24
00:20:22 Slide 25