Data & AI
Data and AI are central at SciLifeLab, reflecting that life science research is becoming ever more technology- and data-driven.
SciLifeLab offers support for data management throughout the data lifecycle. This includes the provision of services, consultations, and access to infrastructure for everything from project planning to data reuse.
SciLifeLab has a history of developing AI and making AI-driven discoveries. The AI strategy of SciLifeLab ensures that it will remain in a position to lead the development and integration of AI into life science at both national and international levels.
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Data services
Services intended to aid users with data management at all stages of the data life cycle.
Featured services
SciLifeLab Serve
Offers hosting for apps (e.g. Shiny and Dash apps), and serves machine learning models.
Open Science
Summarizes the extensive efforts at SciLifeLab related to Open Science.
SciLifeLab Data Policy
The first version of the SciLifeLab Data Policy has been released.
SciLifeLab AI Strategy
The SciLifeLab AI strategy is accessible through link below.
Seminar series, training and AINW
Seminar series
We have a number of seminar series about data management and AI.
Training
All training opportunities are published by the SciLifeLab Training Hub.
AI Network
The SciLifeLab AI Network is an open community of practice connecting researchers, staff scientists, and developers exploring AI in life science research.
The network is hosted on Slack, where members can exchange practical knowledge, share experiences, get peer support around AI tools, and connect across disciplines.
Developers can gather feedback, find pilot users, and start collaborations. The network also hosts two monthly meeting series – the AI seminar series and the less formal AI discussion group – both announced through the Slack channel.
Read more about the AI network and our meeting series
For non-affiliates, i.e. if you don’t have a scilifelab.se e-mail address, please contact us at ai-network@scilifelab.se