Introduction

Hey, I'm a PhD Candidate with the psychological methods group at the University of Amsterdam. There I'm affiliated with the Theory Methods Lab and the Center for Urban Mental Health.

My primary interest is how studies of mathematically built complex systems can help us understand human thoughts and behaviors. I'm working on the topics of urban mental health and theory construction. I also try to keep up with developments in meta science and methods.

I'm lucky to have received a multitude of perspectives through my three formal educations: philosophy (BA), cognitive science (BA), and psychology (Research MA). And through my three current supervisors: Denny Borsboom, Sacha Epskamp, and Han van der Maas.

Feel free to contact me through Twitter or mail: adam.finnemann [at] gmail [dot] com

Scientific output

Articles**

Blog posts

Talks

A Mayor’s Depression: Do mental health disorders scale with city size?

- Presented at the 2021 Conference on Complex Systems

An Urban Desirability paradox? A Large Scale Study of UK Urban Psychology

  - Presented at the 2022 IOPS Conference

Resources

Here I have gathered some of my favorite resources with brief explanations. In general, they present simple yet powerful ideas which are helping me to think about the world.
These two blog posts by Denny Borsboom capture elegantly the crux, necessity, and power of viewing psychological research and constructs through the lens of systems thinking.
Systems thinking in psychology
Dodging the magic bullet
How do we become systems thinkers? I think one answer lies in the existence of system archetypes: common structures that produce a characteristic behavior. Self-reinforcing feedback loops producing exponential growth (dynamics of diseases and populations etc.) is an example of a system archetype. In my Ising Paper, I argue that a many-body system with pairwise alignment produces a characteristic cusp behavior.
The cusp catastrophe model summarising Ising dynamics
Other cool system archetypes:
Robinaugh et al. (preprint) connect two feedback loops on different timescales (one slow, one fast) to model panic disorder. I think that's a neat system archetype.
Wittenborn et al. (2015) use the modular feature of feedback models, meaning, we can repeatedly piece feedback loops together into larger structures. Doing so, they integrate the myriad of factors related to depression into a comprehensive model.
Axelrod's model of cultural evolution captures a universal feedback between who we are and who we interact with. It rests on two universal ideas 1) we interact with individuals that are similar to ourselves (homophily), and 2) during the interactions we become more similar. A classic example is how we speak to people of similar language thereby aligning our speech patterns. Repeating this behavior in a large population it's easy to show how different cultures emerge (see model 10 in Alex Mesoudi's great tutorial with model implementation in R).
Emergence of cultural boundaries in Axelrod's model of cultural evolution (source).
Other cool science:
Salganik, Dodd and Watts' model is an elegant classic study showing how success is only driven to a small extend by quality. Rather, immense success of a song, book, program, idea or technology arise through social dynamics.
The Rpyschologist teaches statistics beautitfull through dynamic visualizations. Has helped me greatly in understanding statistical concepts such as maximum likelihood estimation and confidence intervals.