Omar Guerrero has a PhD in Computational Social Science. Previously, he was a research fellow at the Saïd Business School (Oxford) and an Oxford Martin Fellow at the Institute of New Economic Thinking. His research interests lie in the intersection of Economics, Complexity Science and Data Science.
Omar’s research focuses on various socioeconomic topics such as labour and firm dynamics; detecting vote-trading behaviour in legislatures; modelling how governments determine policy priorities; and understanding how inequality emerges from institutional arrangements. The overarching theme of his agenda is using computation to bridge the gap between data science and social modelling. For this, he employs methods from fields such as agent computing and network science. More generally, he is interested in advancing CSS by developing methods and models that can inform public policy.