About Us

CAPRO exists because capturing and processing large data has become central to social science and humanities research, while the technical support for it has not kept up. We fill that gap.

A team inside the university

We are based at the Department of Psychology, University of Oslo, and work with projects across the social sciences and humanities at UiO and beyond.

Engineers who have done research

Everyone on the team has worked in research. We know ethics approvals, grant deadlines and what real data actually looks like when it arrives.

You own what we build

Code, documentation and workflows are handed over to you, so your project keeps running long after our hours on it are finished.

Our Team

We are the people who will actually do the work — not account managers who pass it on. Everyone here has worked in research, so you will not have to explain what an ethics approval is or why the grant deadline matters.

Athanasia Mo Mowinckel

Data engineering / R / Web apps / Workshops
Leads CAPRO, writes the R packages, and teaches research groups to work reproducibly.
Inge Kasbohm Amlien

Inge Kasbohm Amlien

Infrastructure / Secure data / Containers / Large-scale computing
Containers, cloud, and the secure setups that keep participant data where it belongs.

José-Luis Alatorre-Warren

Statistics / Diffusion MRI / Neuroimaging
Statistical modelling for complex, longitudinal data — and the MRI underneath it.
Markus Handal Sneve

Markus Handal Sneve

MRI protocols / fMRI analysis / Large-scale computing
Sets up the MRI side of a study, then runs the analysis.
Silje Forsland

Silje Forsland

Data collection / Project coordination / Participant care
Plans data collection end to end, and looks after the people being tested.

What we work with

If something you use is not on this list, ask anyway. Most of what we do is reading someone else’s setup and working out how to make it run.

Languages and tools

  • R
  • Python
  • Bash
  • SQL
  • Git
  • Quarto
  • Docker and Apptainer

Systems at UiO and nationally

  • Nettskjema
  • TSD
  • Educloud
  • NREC
  • Saga and other Sigma2 machines
  • UiO GitLab

Kinds of data

  • Questionnaire and survey data
  • MRI and other imaging
  • Registry data
  • Longitudinal cohort studies
  • Sensor and log data