My research focuses on understanding Human Cooperation. I apply experiments, field studies, and meta-analysis to test evolutionary and psychological theories of cooperation. My work addresses issues related to (a) how people think about their interdependence in social interactions, (b) how people condition their cooperation to acquire direct and indirect benefits, and (c) understanding cross-societal variation in cooperation. I founded the Amsterdam Cooperation Lab in 2015, and I am the recipient of an ERC Starting Grant (2015-2020) and ERC Consolidator Grant (2020-2025).
I am interested in conducting experimental research on prosocial and cooperative behavior. In particular, I focus on understanding the relation between institutions, trust, and cooperation among strangers. I am currently involved in the creation of a multi-disciplinary open access database that aims to capture the entire history of research on human cooperation, and I aim to apply meta-analytic methods on this rich data to contribute to the understanding of cooperation across the globe.
The core of my research interests is at the intersection of culture, mental health, and human sociality. I analyze qualitative and quantitative data and use a diverse set of research methodologies including field data, comparative cross-cultural analyses, confirmatory hypothesis testing, and exploratory research methods. I have used the Human Relations Area Files and have conducted field research with Micronesian Islanders to test evolutionary models of suicidality and conflict resolution.
My research is situated in the areas of Affective Computing and Social Signal Processing. It focuses on enabling technological systems to infer cognitive and affective states from data about human behavioral cues using multimodal machine learning. I am particularly interested in developing context-sensitive approaches for this kind of computer-based behavioral analysis. By accounting for person- and situation-specific influences on the underlying psychological processes driving human behavior, these have the potential for automatic inferences that are more accurate and robust across different scenarios in the real world. I am currently exploring the computational modeling of social perception processes and partner selection choices in collaborative interactions based on behavioral data about the involved individuals.
I consider my field of research, cooperation, a very important area of research as it has implications for policy makers and planners. As I learned more about social dilemma research from my colleagues, group size became my focus. Over the next four years as a PhD candidate, I will conduct new investigations on group size, work effectively with and learn from great minds within the social dilemma domain, and review the literature in meta-analytic studies.
My research interest focuses on structural features of situations, interdependence and cooperation. Recently, I’m applying a meta-analytic method to understand how human cooperation can be influenced by structural features of social dilemmas. I will also conduct online experiments and field research to investigate interdependence, culture and cooperation.
My research interest focuses on understanding (a) which social cues and evidence affect inferences individuals make about their social partners, especially in the domain of trust and cooperation, (b) how can these information be used to predict, faciliate or/and optimize partner selection, (c) how other contextual variables (i.e. interdependence, social distance) contribute to shaping cooperative behavior. In my studies, I want to apply an interdisciplinary approach, combining psychology, cognitive and computer science.
I am interested in people’s cooperative behaviors in real-world and economic games, specifically, what kind of people and under what circumstances will people behave more cooperatively. The former helps identify those people, whereas the latter helps stimulate cooperation in the applied settings. I wish to contribute to the game-based personality assessment by incorporating cooperative game tasks. In addition to experimental studies, I’m keen on learning new research paradigms like computational modeling, social network analysis, etc.
I am a student under the Spinoza Prize project “Understanding Language by Machines”. My research focuses on trust, explicitly investigating how robots could navigate the real world and form complicated relationships with people just like we do. My work aims to create and evaluate a computational model of trust, from a robot’s perspective towards trusting humans in collaborative tasks. For this, I apply complementary Artificial Intelligence techniques (from Machine Learning and Natural Language Processing to Symbolic Knowledge Representation).
FORMER PhD STUDENTS