# Integrating environmental sustainability into bioinformatics training and its delivery

- Institution: CERN
- Speaker: Flaminia Zane
- Year: 2026
- Language: English
- Subjects: Mathematics
- Source: [CERN](https://videos.cern.ch/record/3025573)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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

## Lectures

1. [Integrating environmental sustainability into bioinformatics training and its delivery](https://invisiblenetwork.ai/learn/cern/3025573/27995d3ce8f8), 32 min (CERN's player)