Ciao! I'm

Mauritz Niklas Cartier van Dissel

PhD Candidate · Complexity Science Hub (Vienna) and Graz University of Technology

Welcome to my website! I'm Mauritz, a PhD candidate at the Complexity Science Hub (CSH) in Vienna, working with Prof. Fariba Karimi in the Network Inequality Lab. My research applies mathematics to the analysis of network data, with a particular focus on complex systems in computational social science.

Before joining CSH in April 2023, I earned my bachelor's and master's degrees in mathematics at the University of Trento, Italy. My master's thesis, in collaboration with the Basque Center for Applied Mathematics, developed state-space models for online prediction of multivariate electricity loads.

You can reach me at cartiervandissel@csh.ac.at.

News

May 2026

New Preprint! "Contact, conflict, or opportunity?" is now on arXiv

Our new paper studying how out-group exposure influences adolescents connection preferences in 228 Czech classrooms is now available. Check it out!

May 2026

Finally a website! And going to NetSci 2026

After years of procrastination, I launched this website to catalogue and share my research and connect with others in the field. Check back here for updates on my latest work and news. On a completely unrelated note (:P) I will be coming to Boston for NetSci 2026, see you there!

May 2026

Talk at the Washington Quantum Computing Meetup

Gave a talk on our work titled "A Payne–Whitham model of urban traffic networks with traffic-light dynamics and its application to signal optimisation." at the Washington Quantum Computing Meetup. You can find the video recording of the talk here.

Apr 2026

"Ranks of Disparity" interactive launches

We released an interactive explainer for the hyperFA*IR fairness framework, plus press coverage in Der Standard and an amazing blog post by Reviewer Too.

Mar 2026

Research visit to Brno, Czech Republic

I spent two weeks at SΛTIS Lab at Masaryk University in Brno collaborating with Tomáš Lintner on our project studying friendship and segregation in Czech school classrooms.

Feb 2026

New paper on preference aggregation and social networks

"A simple preference aggregation rule explains how multidimensional identities shape social networks" is out, with Samuel Martin-Gutierrez and Fariba Karimi.

Nov 2025

Radio interview on Radio Eins, Berlin

Discussed our research on intersectional inequalities in social networks on Die Profis, Radio Eins (RBB), Berlin.

Nov 2025

"Intersectional inequalities in social ties" published

CSH news coverage: "Double Disadvantage Hurts More Than Twice as Much". The paper shows how social inequalities don't just add up — they compound.

Sep 2025

IceLab seminar & camp at Umeå University

Gave a talk on hyperFA*IR — fairness in rankings through random sampling — as a visiting researcher in Umeå's IceLab. I then stayed for the IceLab camp — a really amazing experience, in which I met really cool people! More on this year's edition →

Jun 2025

Presented hyperFA*IR at ACM FAccT in Athens

Really happy with how the talk went! I presented our latest work titled hyperFA*IR — a hypergeometric framework for detecting and enforcing fairness in rankings drawn from finite candidate pools — at ACM FAccT 2025. Watch the talk →

Publications

Contact, conflict, or opportunity? Out-group exposure creates tie opportunity, not tolerance
M. N. Cartier van Dissel, T. Lintner, S. Martin-Gutierrez, F. Karimi
arXiv preprint, 2026
A simple preference aggregation rule explains how multidimensional identities shape social networks
S. Martin-Gutierrez, M. N. Cartier van Dissel, F. Karimi
Communications Physics, 2026
Intersectional inequalities in social ties
S. Martin-Gutierrez, M. N. Cartier van Dissel, F. Karimi
Science Advances, 2025
hyperFA*IR: A hypergeometric approach to fair rankings with finite candidate pool
M. N. Cartier van Dissel, S. Martin-Gutierrez, L. Espín-Noboa, A. M. Jaramillo, F. Karimi
ACM FAccT 2025
Journey Through the World of Dynamical Systems on Networks
A. Puchalska, M. N. Cartier van Dissel, et al.
Trends in Mathematics, Springer, 2024

See the full list on Google Scholar.