Achilleas Psyllidis (PhD)
Achilleas Psyllidis is Assistant Professor of Location Intelligence and Spatial Analysis within the Knowledge and Intelligence Design (KInD) group, Industrial Design Engineering (IDE) faculty, Delft University of Technology.
He is also Research Fellow of the Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute), where he leads the Social Urban Data Lab (SUDL), and further affiliated with the Leiden-Delft-Erasmus Center for BOLD (Big, Open, Linked Data) Cities. He is Co-Principal Investigator of the SocialGlass research program.
Leveraging on his multidisciplinary background in architectural engineering, spatial planning, and data science, he is passionate about problems at the intersection of machine learning and urban / regional science. Therefore, he builds computational methods and location-based tools and services to make sense of and characterize places and people's activities, experiences, and interactions. He further seeks to understand what processes drive their behavior. His methodological approaches are driven by data and informed by theory. He is motivated by how the steadily expanding location ecosystem, fueled by the increasing variety of location data and the advances in technology backing location analytics, can help us better understand human dynamics and potentially improve urban living. He aims to bring Location Intelligence at the core of the design process, through the tools and methods which he develops. With a better understanding of where and why things happen at the places they happen, he believes that designers can create improved products, services, and systems.
A prominent example of his work is SocialGlass. This online system harnesses urban big data to help city stakeholders better understand and forecast city dynamics.
Achilleas gets motivation from the groundbreaking ways of understanding how cities work and the emerging potential for addressing community needs in an improved fashion. His vision is to leverage the combined potential of urban and computer sciences towards building solutions to problems of cities and communities. The city of Amsterdam in general, and AMS Institute in particular, provide an excellent environment to bring this vision to fruition.
“I want to help cities and communities unveil hidden dimensions of the urban environment”