Asger is a data scientist, and has previously studied physics and software development. He has a passion for statistics and programming and works i.a. with techniques for image recognition, data extraction and analysis from various internet platforms. He has previously taught programming and statistics as well as the development of scientific software.

Line is a sociology student at Copenhagen University. She is particularly interested in professional capital, and has previous experience from TeamArbejdsliv and the Investment Fund for Developing Countries. 

Mikkeline communicates what's difficult to put into words. She looks behind the numbers of the complex analyses and helps to qualify and disseminate the insights with an eye for the clients' situation and strategic potential. Mikkeline has a rhetorical background and she is concerned with how we influence each other in the digital democracy: What messages resonate in the digital assembly houses and why? Mikkeline has experience from various communications and consulting agencies and the NGO sector.

Niels is a computer scientist and data scientist specialising in big data processing and distributed machine learning. He is an analyst and also works on designing and implementing the scalable and robust data systems which collects and prepares data for our analysts and machine learning experts. Niels is also affiliated with the research group for data-intensive systems at the IT University.

Tali is a sociologist and works with a wide range of social science methods and analyses. She has experience with both statistical modeling, social network analysis, surveys as well as qualitative interviews. Tali is particularly interested in examining complex issues and create innovative designs that combine traditional and new methods. Furthermore, Tali is an external lecturer in quantitative and qualitative methods at the Department of Sociology at the University of Copenhagen.

Mira studies sociology at the University of Copenhagen. As a partner at Os & Data, Mira contributes to the quantitative and qualitative analytical work and the communication of complex figures and insights. Mira has experience as a research assistant and as a student assistant in the private sector.

Milena holds a Master's degree (Cand.it.) in Digital Economics and Machine Learning from the IT University of Copenhagen and Boston University. As an independent consultant, Milena has worked with regulatory processes in technology as well as with the communication and analysis of algorithms used in the justice system, with a particular focus on representation, ethics, and regulation of AI. Milena is the primary project partner on our studies of digital volunteerism as well as in the planning of our upcoming summit for administrators and moderators.