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Month: November 2022

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event report

BioHackathon Europe 2022

Biohackathon europe 2022

Paris, 7-11 November 2022

by Beatriz Serrano-Solano

AI4Life was present this year at the BioHackathon Europe 2022, which took place in November at Campus Des Berges de Seine, near Paris. Since 2018, ELIXIR Europe has been organising the BioHackathon to bring together both ELIXIR and non-ELIXIR members to work on projects aligned with the ELIXIR Platforms, Communities or Focus Groups.

The participation of AI4Life was focused on two projects:
– Project 9: Disseminating FAIR Machine Learning Models via BioModels
– Project 17: Metadata schemas supporting Linked Open Science (with a focus on reproducibility)

Through the interaction with these two projects, we explored the collaboration of the BioImage Model Zoo with databases like BioModels, by discussing the minimum metadata that would allow the interoperability between such resources. We also engaged with more initiatives like Bioschemas, the DOME recommendations, the EDAM ontology and the ELIXIR Machine Learning Focus Group.

We will be happy to continue these interactions, and we look forward to our future collaboration and participation in similar events.

AcknowledgementS
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past events

Workshop: Towards FAIR AI image data

Workshop: Towards FAIR AI image data

Date

Venue

Description

24-25 January, 2023

Online

The BioImage Archive (BIA), EMBL-EBI’s data resource for open life sciences image data, provides general-purpose deposition services for any imaging dataset accompanying a publication, as well as reference image data. The BIA currently supports basic deposition of image annotations together with corresponding images. As part of the recently awarded Horizon Europe project, AI4LIFE, we would like to improve the BioImage Archive’s support for image annotations as part of AI-ready datasets.
In particular, we wish to make deposited annotations as widely usable as possible, adhering to the FAIR principles of Findability, Accessibility, Interoperability and Reusability. This is particularly challenging for image annotations, since there are few standards for representing annotation data that are widely adopted across the community.
Towards this end, we will hold a workshop involving participants from the bioimaging AI community, including data generators, annotators, AI researchers and software/tool developers.