Dr Diogo Pacheco is passionate about data; by its capacity to inform and to mislead. He is particular interested in computational social science and modelling complex social behaviour, i.e. combining the expertise of social, cognitive and STEM science to develop tools to enhance our understanding about society.
He started his academic life at the University of Pernambuco (Recife-PE, Brazil) aiming to use computational intelligence to solve practical real-world problems. His bachelor and master's degrees in Computer Engineering main contribution was building a decision support system (DSS) for the sugarcane harvest problem. The DSS was empowered by an evolutionary multi-objective optimization algorithm processing leveraged information from artificial neural networks.
In 2013, after a 5-year break from academia, he moved to the USA to start a PhD focusing on the exploration of social media data (digital footprints) as a proxy for understanding human behavior, at the Florida Institute of Technology. In 2018, he joined the Observatory on Social Media and Center for Complex Networks and Systems Research at Indiana University as a postdoctoral fellow.