DDLS Annual Conference 2025 workshops

During the second day of the  DDLS Annual Conference 2025 held at Uppsala Kongress och Konsert (UKK) participants will have an opportunity to attend one of the workshops. The workshops are directed at researchers in data-driven life science in all career stages.

Please note that each workshop has a limited number of seats, on the first come first served basis. Those registered after the limit is reached will be placed on the waiting list. The workshops will take place in various rooms of the main venue of the conference –UKK All workshops start at 13:30 but end at various times. Coffee/tea and fika will be served during the workshops.

Feel free to email datacentre@scilifelab.se with any questions about workshop 1 and 2 and traininghub@scilifelab.se for workshop 3.

Workshops

Workshop 1. Automating life science & biomedical tasks with LLMs and beyond: practical guide

Held by: Ola Spjuth (UU, SciLifeLab AI Lead) and AI data engineers Mahbub Ul Alam and Johan Alfredéen at SciLifeLab Data Centre

Where and when: November 13, 2025 at 13:30-16:00, room K1 (36 seats) UKK

Description:  We will explore how artificial intelligence (AI) can help make your research more productive. You will see how AI agents can help you
create new, testable ideas. We will introduce modern agentic AI tools that can automatically handle many research tasks. These tools use powerful large language models (LLMs) to plan and perform complex jobs. You will learn how to apply them using several available cloud
platforms and open-source tools. The main goal is to show you how to use AI to speed up your work and discover new research questions.

Workshop participants can then choose from a number of hands-on exercises that they can complete on their own laptops. We will be available to help and answer questions.
   

Workshop 2. Open Source Software for Research – Sharing Code and Software the Right Way

Held by: Chris Erdmann (Head of Open Science, SciLifeLab) and coordinators Alma Nilsson, Suné Joubert and Parul Tewatia SciLifeLab Data Centre

Where and when: November 13, 2025 at 13:30-16:00, room K2 (20 seats) UKK

Description: Research depends on software, but without open and FAIR practices, reproducibility and reuse are limited. Open-source software means code that is not only available but also licensed for free use, modification, and sharing. This workshop provides an overview of open science policy related to software, and introduces the Open Science Software Checklist , showing how to apply it to make research code adhere to open science policies and guidelines. Speaker at the workshop include Malin Sandström from the Swedish Research Council (Vetenskapsrådet) and researchers from the SciLifeLab research community, as well as coordinators and data stewards from SciLifeLab Data Centre.

Participants should bring their own laptop and have a GitHub account. Having Visual Studio Code installed and connected to one’s GitHub is helpful but not required.

Workshop 3. Development of a Mastery Rubric for Data Driven Life Scientists

Held by: Jill Jaworski, SciLifeLab Training Hub

Where and when: November 13, 2025 at 13:30-16:00, room K3+K4 (90 seats) UKK

Description: What is a data-driven life scientist? What knowledge, skills and abilities do these individuals have and what core competencies do they share within their respective expertise-areas? What distinct characteristics set them apart from other life-scientists?

In this interactive workshop, through facilitated discussions and collaborative exercises, we will come to a shared understanding of what is required in this profession. We will create a Rubric that outlines the different knowledge, skill and ability areas of data-driven life scientists and map these competencies against beginner, intermediate and mastery levels.

In this way, we will help define the scope of data-driven life scientists and demonstrate what is needed for them to progress along learning paths from beginners to masters in their subject areas, thereby helping them understand how and where they can develop professionally. Amid quickly changing scientific landscapes, complex and pressing real-world issues, and growing mistrust in science, it is important to create a shared framework for what we mean when we describe data-driven life scientists, which will help bring credibility to the profession, trust, and clear guidance on how to professionally develop.

Participants will need to bring a laptop or tablet to this workshop to be able to fully participate.