Pablo Lozano Rodríguez

I am Software Developer @t3rn where I work on SDKs, cryptography, blockchain and Web3. I love Rust and TS, and now I'm involved in testing.

Previously, I was a Postdoctoral Fellow @Central European University where I work on networks, (explainable) AI, and computational social science.
I currently work with János Kertész, Márton Karsai, and Gerardo Íñiguez. Other coauthors are Angel Sánchez and Alberto Antonioni.

I used to work on data analysis and programming modelling, but I also use experimental approaches from behavioral economics. I make use of tools from network theory, machine learning, evolutionary game theory, and behavioral economics. I like reinforcement learning and Bayesian statistics.

I did my Ph.D. and master's in Applied Mathematics at the mathematics department at Universidad Carlos III de Madrid, Spain. I also hold a bachelor's in Industrial Engineering (specialization: Industrial Electronics and Robotics), from UC3M.

Email  /  CV  /  Bio  /  Google Scholar  /  ORCiD: 0000-0001-7473-2827  /  Twitter  /  Github

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Research

I'm interested in complex systems, networks, machine learning in general and reinforcement learning in particular, evolutionary game theory, and behavioral economics. Much of my research is focused on inferring behavior from human groups and understand how societies work. All the articles are open access.


Climate change uncertain decisions: an experimental approach
Pablo Lozano, Alberto Antonioni, Angel Sánchez
In preparation, 2021

Experimental approach to study which action is the best strategy when facing uncertainty in climate change.

Priming increases cooperation within competitive groups
Pablo Lozano, Alberto Antonioni, Francesca Giardini, Rafael Wittek, Siegwart Lindenberg
In preparation, 2021

Through an behavioral economics approach, we study if (verbal) priming has effect on the cooperation level within human groups.

Reinforcement learning for cooperational dynamics in uncertain reputation networks
Carlos Hernández Hernández bachelor's thesis. Co-supervised with Angel Sánchez.
July, 2021

Agent-based model to study, using reinforcement learning, how individuals learn to behave in unreliable reputation environments within dynamic networks.

Hierarchies and cooperation: an experiment
Pablo Lozano, Alberto Antonioni, Angel Sánchez
Under review, 2021

Experimental evidence showing egalitarian individuals formign hierarchies through conflicts as well as signalig of non-cooperative individuals.

Cooperation, social norm internalization, and hierarchical societies
Pablo Lozano, Sergey Gavrilets, Angel Sánchez
Scientific Reports (Nature), 2020
article  /  metrics  /  supplementary  /  bib ref

An agent-based model where a hierarchy arises from an egalitarian society, conflics can happen a social norm is internalized leading to a high cooperative (hierarchical) society.

Shall we turn off the media? Global information can destroy local cooperation in the one-dimensional ring
Bilge Aydin, Marta Biondo, Deepak Gupta, Mattia Ivaldi, Francesca Lipari, Pablo Lozano, Francesco Parino, Ennio Bilancini, Leonardo Boncinelli, Valerio Capraro
arXiv, 2019
article  /  bib ref

Numerical simulations to study the evolution of cooperation in the one-dimensional ring when the interaction structure is strictly local, and hence fitness only depends on local behaviors, while the competition structure is partly global, and hence selection can happen also between distant agents.

Cooperation on dynamic networks within an uncertain reputation environment
Pablo Lozano, Alberto Antonioni, Marco Tomassini, Angel Sánchez
Scientific Reports (Nature), 2018
article  /  metrics  /  bib ref

Agent-based model based on experimental results to study reputation evolution within a dynamic network where agents can fake reputation.



Talks, seminars, etc.

These are the places I've been to, talked in or plan to go. If you think I could give a talk, feel free to invite me. Also, you can grab the slides (if any) and reuse them with attribution!

AMETHYST Satellite: gAME THeory on complex SysTem
Satellite co-organizer, at the 2021 Conference on Complex Systems (CCS) in Lyon, France. (Website)
October 2021
An Experimental Approach to Hierarchies: High Ranked Individuals Exploit Low Ranked Ones But Act Altruistically
Talk, at the 2021 Conference on Complex Systems (CCS) in Lyon, France.
October 2021
SFI Complexity Interactive
Summer school, at Santa Fe Institute, New Mexico (USA).
June-July 2021
Hierarchies and cooperation: an experiment
Talk, at FisEs Joven 2021 Conference.
May 2021
Cooperation, social norm internalization, and hierarchical societies
Talk, at 8th Computational Social Science (CSS) Satellite event at the Conference on Complex Systems (CCS).
December 2020
Hierarchies can arise spontaneously in egalitarian societies
Poster, at 5th International Conference in Computational Social Science (IC2S2).
July 2019
Complexity 72 hours
Part of Ennio Bilancini’s group researching on social physics. Derived from the three-day research event, there’s a preprint in arXiv.
June 2019
SEEHB meeting
Talk at the second edition of the Southern Eastern Evolutionary and Human Behavior meeting at Georgia State University, Georgia (Atlanta).
April 2019
European Night of the Researchers
Communication poster: "Genre and technology: EU projects about Big Data."
November 2018


Extra

Technical skills



Modified from Jon Barron's website.