Education Research Current About VU Amsterdam NL
Bachelor's programmes Master's programmes VU for Professionals
Exchange programme VU Amsterdam Summer School Honours Programme Dutch language courses (NT2) Semester in Amsterdam
PhD at VU Amsterdam Featured research Prizes and distinctions
Interdisciplinary research institutes Scientists of VU Amsterdam Research Impact Support Portal Create impact with your research
News Events calendar Moving towards a healthier future
VU UPDATE: Situation in Israel and the Palestinian regions Culture at VU Amsterdam
Practical matters Mission, core values and vision Entrepreneurship on VU Campus
Governance of VU Amsterdam Valorisation and impact Partnering with VU Amsterdam VU Alumni Community Take a look at our vacancies!
Sorry! De informatie die je zoekt, is enkel beschikbaar in het Engels.
This programme is saved in My Study Choice.
Something went wrong with processing the request.
Something went wrong with processing the request.

dr. Marcos Oliveira, MSc

Assistant Professor, Faculty of Science, Artificial intelligence

Assistant Professor, Network Institute

Personal information

Marcos Oliveira is an Assistant Professor in Computer Science at the Department of Computer Science of the Vrije Universiteit Amsterdam, where he is a member of the AI & Behaviour group. He is also affiliated as an Honorary Lecturer with the Department of Computer Science at the University of Exeter in the United Kingdom. Previously, he was a postdoctoral researcher at the GESIS–Leibniz Institute for the Social Sciences in Germany.

His research lies at the intersection of computational social science, complex systems, network science, and data science, and is strongly informed by concepts from sociology and criminology. He studies how societal challenges such as social inequality, urban crime, and social risks of digitalization arise from individual behavior and interaction. His work combines large-scale behavioral data with mathematical and computational models to uncover mechanisms that drive social structure and dynamics. Empirically, he works with data ranging from online browsing activity to sensor-based measurements of face-to-face interaction, with applications to topics such as privacy, predictability, network inequality, and crime dynamics.

Marcos Oliveira has published in a wide range of international journals, including Nature Communications Physics, Nature Scientific Reports, Crime Science, Royal Society Open Science, and PLOS One. His research has been supported by competitive grants, including UKRI/Innovate UK and Facebook Integrity & Impact Research. In addition to his research activities, he serves on the Editorial Board of PLOS Complex Systems and has held various academic service and leadership roles.

Research

Marcos Oliveira's research asks how individual actions and interactions give rise to large-scale social patterns and challenges, and how explicit computational models can be used to understand the mechanisms underlying these processes. Central questions include: How do social groups form and evolve? Under what conditions do interaction patterns lead to social isolation or inequality? How predictable is human behavior in digital and physical environments, and what are the limits of such predictability? How does individual uniqueness emerge from behavioral data, and what does this imply for privacy, profiling, and urban crime?

To address these questions, he combines large-scale behavioral data (e.g., online browsing traces, sensor-based measurements) with theory-informed, interpretable computational models. His work bridges computer science with sociology and criminology, using network analysis and complex-systems approaches to study social dynamics in contexts ranging from online environments and social gatherings to cities.

Ancillary activities

No ancillary activities

Ancillary activities are updated daily

Quick links

Homepage VU Amsterdam Culture at VU Amsterdam University Library Dashboard

Study

Academic calendar Study Guide Timetable Canvas

Featured

Donate to the VU Fund VU Magazine Ad Valvas Digital accessibility

About VU Amsterdam

Contact with VU Amsterdam Take a look at our vacancies! Faculties VU Amsterdam Divisions VU Amsterdam
Privacy Disclaimer Safety Web Colophon Cookie settings Web Archive

Copyright © VU