Hi!
My name is Johanna. I am currently a post-doctoral researcher at the Digital Humanities Lab at the University of Basel and the Copenhagen Center for Social Data Science at the University of Copenhagen.From February 2024 to May 2024 I have been a visiting researcher at the Institute for Data, Systems and Society at MIT and from October 2024 to February 2025 at ETH Zurich at the Law, Economics and Data Science Group.Currently, I am mostly interested in ways that AI can help us to do science better, meaningful application of machine learning in the social sciences and methods for estimating uncertainty in ML predictions.Apart from that I am interested in making software to help us do research better and faster, I write a newsletter and I love doing all kinds of outdoors sports.
RESEARCH INTERESTS
I am interested in
using insights from network science to answer social science questions
testing the replicability and generalizability of data driven social science research
exploring how we can use AI tools to speed up and improve research & science
PEER-REVIEWED PUBLICATIONS
Cremers, J., Kohler, B., Frank Maier, B., Nymann Eriksen, S., Einsiedler, J., Kølby Christensen, F., Lehmann, S., Dreyer Lassen, D. Hvas Mortensen, L., Bjerre-Nielsen, A. (2025): Unveiling the social fabric through a temporal, nation-scale social network and its characteristics. Sci Rep 15, 18383 (2025).
Einsiedler, J., Lilleholt, L.,Hvas Mortensen, L., Schild, C., Zettler, I. (2025): Nonresponse at three stages in personality research: Insights based on (Danish) register data of a representative potential participant pool
Teutloff, O., Einsiedler, J., Kässi, O., Braesmann, F, Mishikin, P., del Rio-Chanona, M, (2025): Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand
Trial, H., & Einsiedler, J. (2024). The future of research dissemination: Innovation in publishing formats. MIT Science Policy Review. https://sciencepolicyreview.pubpub.org/pub/r0ph4iry
Einsiedler, J., Cheng, Y., Papst, F., Saukh, O. (2021): Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality 3rd International Workshop on Urban Computing, 2021. Best Paper Award.
OTHER PUBLICATIONS
O. Teutloff, J. Einsiedler, F.Søndergaard Møller (2024): Large language models and the Danish labour market. Statistics Denmark Analysis,
PROJECTS
I have engaged in an art X science project called 'Do algorithms care?' exhibited at the Ars Electronica Festival 2024. All documentation can be found on our website: algorithmic.care.
I have built a prototype for a tool to create interactive meta-studies. I also wrote a blogpost about the potential of interactive meta-studies.
I am writing a bi-weekly newsletter called CuratedCuriosity about technology, science and everything else that gets me curious.
Occasionally I write blogposts on topics such as future of work or higher education.
I have written a Python package for Latent Profile Analysis (available via PyPI)
I am the organisor and co-host of a podcast called "The PhD Pod" - a podcast where we explore all kinds of interesting science topics but also chat about PhD life. My favourite episode is about trust in medicine and challenges in fieldwork.
As part of the Ars Electronica Summer School 2023 I have co-created an art exhibition piece addressing issues of bias in AI, called AI Arcade
I have made an effectiveness analysis of charities in Austria (2021)
Talks & Presentations
Persistance of Social Ties from Informal Group Interactions, International Conference for Computational Social Science 2023, Copenhagen
Generalizability of Multimorbidity Patterns A Cross-Country Comparison, NetSci 2023, Vienna
Engineering Social Groups: How Organizational Group Assignment Affects the Social Fabric, Ninth Annual Conference on Network Science and Economics, Minneapolis
Impact of ChatGPT on Online Labour Markets, AICE – AI, Cognition, and the Economy | Spring 2024 Workshop, Microsoft Research, Boston