Course at EMBL-EBI

Workshop on Artificial Intelligence Competencies: training challenges and needs of research infrastructures and core facilities

Update: the application period is closed, but additional spaces may be available, please contact the organisers if interested.

The Biodata Developers’ (BioDev) Network, Wellcome Sanger Institute and ELIXIR / EMBL-EBI, as part of RItrainPlus project, are organising a knowledge-exchange workshop on ‘Artificial Intelligence Competencies: training challenges and needs of research infrastructures and core facilities’. The overall purpose of the workshop is to create a space to discuss the professional roles and competencies needed to support the implementation of Artificial Intelligence (AI) for research in research infrastructures (RIs), Core Facilities (CFs) and similar organisations, as well as the training gaps and current actions they are already carrying out to address the training needs.

This will be an interactive workshop where attendees will actively participate through discussions, group work or short presentations. The workshop has been shaped with the input gathered through dedicated scoping discussions with different experts. In particular, we would like to thank the following experts and their organisations for their input:

  • Nina Norgren, SciLifeLab
  • Fotis Psomopoulos, Center for Research and Technology Hellas
  • Dan MacLean, The Sainsbury Lab (TSL)
  • Edward Lukyamuzi, Pan-African Mosquito Control Association (PAMCA)
  • Dr Michelle Skelton, Data Science for Health Discovery and Innovation in Africa (DS-I Africa)
  • Helder Nakaya, Albert Einstein Hospitals Brazil
  • Moises Sotelo, University of Guadalajara
  • Rolanda Julius, Data Science for Health Discovery and Innovation in Africa (DS-I Africa)

Who is this course for?

The workshop is aimed at technical staff of RIs, CFs and similar organisations. They should have an overview of their team’s training challenges and needs in the context of implementing AI to support research. For example, participants might include:

  • Senior Data Scientist
  • Data Manager
  • Machine Learning Operations Architect
  • Engineer or Developer of Research Software
  • AI Engineer
  • Training Manager with computational and technical knowledge of the field

Participants will require basic knowledge of the state of use of Artificial Intelligence and Machine Learning for research.

Learning outcomes

After the course participants will be able to:

  • Discover how different organisations are structured to support the use of AI for research in their communities
  • Discuss the main roles or competencies that a RI/CF should have covered to support the use of AI for research
  • Describe the main training needs and challenges of the teams who support the use of AI for research
  • Discuss other challenges of RIs and CFs for the use of AI for research, beyond training challenges

Trainers

Dayane Rodrigues Araujo
EMBL-EBI
Stanley Hanson
Wellcome Sanger Institute
Priyanka Surana
Wellcome Sanger Institute
This course has ended

27 February 2025
European Bioinformatics Institute
United Kingdom
Free
Contact
Juanita Riveros

Organisers

In association with:


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