Fengli is a data scientist, who uses data mining, machine learning, and network representation learning algorithms to investigate how citizens move and interact in urban space. His research interests span the fields of data science, urban science, and computational social science. He currently focuses on harnessing the power of newly available urban big data (e.g., street view images and mobile network records) and developing data-driven models for urban activities. Fengli received his Ph.D. in Engineering from Tsinghua University in 2019, where he developed spatiotemporal data mining algorithms and stochastic models for urban mobility.
Clara, a native of Toronto, Canada, received her Ph.D. in chemistry in 2020 from the University of Chicago, under the mentorship of Prof. Suri Vaikuntanathan. Her current research focuses on large data sets on publication, grant funding, and research teams to study processes of knowledge production.
Stefan is a Marie Curie Fellow and an assistant professor at the Department of Organization Studies of Tilburg University in the Netherlands. He is interested in how science and broader society influence each other. The European Commission sponsors his current project ‘Invisible Forces’, which aims to understand the contribution of professional staff of universities to academic knowledge development.