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ABSTRACT / Cooperation is one of the fundamental pillars on which today’s society is based. Nevertheless, conflicts are present in every aspect of human life and arise from group-living and competition for resources, generally leading to dominance-subordination relationships called hierarchies. These hierarchies exist in both large systems, such as world politics or news coverage, and in smaller systems like faculty hiring networks and healthcare professionals. Furthermore, hierarchies are not exclusive to humans but are also present in many social animals. However, the specific mechanisms that produce and maintain hierarchies remain unclear. The relationship between hierarchies and cooperation is an open and essential problem since some initial experimental evidence suggests that steep hierarchies lead to low cooperation and less steep hierarchies can preserve it. My previous research has been centered around hierarchies and how they can foster cooperation in unusual ways. Using agent-based modeling and experimental data, we propose several mechanisms that allow for cooperation to increase and be stable in certain types of societies.
BIO / Pablo Lozano works using modeling techniques (agent-based modeling, mainly), but he uses experimental approaches too. He uses tools from network theory, machine learning, evolutionary game theory, and behavioral economics. Pablo is a Junior visiting researcher at Central European University, where he works on networks, (explainable) AI, and computational social science. He currently works with János Kertész, Márton Karsai, and Gerardo Íñiguez. Other coauthors are Angel Sánchez and Alberto Antonioni. Pablo did his master's in Applied Mathematics and his bachelor's in Industrial Engineering (Industrial Electronics and Robotics), both at UC3M.