Open Science

Open science is about building a scientific culture that values accessibility, transparency, reproducibility, and collaboration.

This is something I care about deeply and try to reflect in my daily work.
My contributions to open science span different levels, from personal practices to community involvement and infrastructure.

I see open science as a way of working, not just a set of rules. It affects how I design studies, write code, share results, and support others in doing the same.

What I share

I publish the data, analysis scripts, and visualizations for my research projects as a standard part of my workflow. Cleaning code for public release is a slow process, but it is the only way to ensure the results are actually reproducible.

Here is a list of resources where you can find my data and code:

Community Management and Governance

Open science also means supporting the systems and communities that make it possible. Here is how I contribute:

  • I am an Open Science Ambassador in the Max Planck Society, I advise researchers at my institute on how to comply with data-sharing mandates and use institutional repositories.
  • I am an active member of SORTEE (Society for Open, Reliable, and Transparent Ecology and Evolution), where I serve on the Member Engagement Committee.
  • In 2025, I am organising the SORTEE Code Club, a monthly online meetup exploring practical tools and workflows for open science.
    → See the upcoming schedule here.
  • I also work as a Data Editor for PCI Ecology, where I check the accessibility and reproducibility of data and code associated with recommended preprints.
  • Code of Conduct Committee The Carpentries: I resolve governance and policy disputes within this international network of data science instructors.