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site address: corpnet.uva.nl redirected to: www.planetnl.org/team

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team planet nl top of page home team resources expertise data software collaborations collaborations publications news contact more use tab to navigate through the menu items our research team our team is based at both leiden university and university of amsterdam with interdisciplinary expertise in the social sciences humanities mathematics physics and computer science the team the core team members are listed below in addition a number of people from the popnet project are also affiliated frank takes frank takes is professor of network science and director of education at the computer science and ai instititute of leiden university his research under the theme network science is focused on methods and algorithms for knowledge discovery from large scale social network data eelke heemskerk eelke heemskerk is professor of political networks and director of the computational social science programme university of amsterdam his research lies at the intersection of political economy socio economics and corporate governance his primary interest is in how formal and informal network structures can change positions of power and influence socio economic behavior eszter bokányi eszter bokányi is a postdoctoral researcher at leiden university she holds a phd in physics from eötvös loránd university budapest her work focuses on network science and computational social science exploring how the structural properties of large scale social networks can be linked to persistent societal problems such as inequality or segregation she is particularly interested in examining the connections between urban spaces and social ties in spatial networks yuliia kazmina yuliia kazmina is a phd candidate in computational social science at the university of amsterdam she studies how social networks shape segregation economic mobility and political behaviour using large scale longitudinal data she integrates theoretical insights from social and network science with empirical analysis of population scale data to uncover the social structures that shape economic mobility and segregation gamal adel gamal adel is a phd candidate in network science at leiden university gamal s research focuses on community dynamics in large scale social networks katherine hamilton katherine is a research assistant in network science at leiden university she is interested in stochastic processes in networks and is exploring how micro scale changes can affect network structure on a macro scale rachel de jong rachel de jong is a phd candidate at leiden university with an interest in computational network science and algorithms her research focuses on creating disclosure control methods for network data that take into account network structure her work takes place both within the ano net project with statistics netherlands cbs and in the planet nl project vera de bel vera de bel is an assistant professor in the department of sociology and a member of the interuniversity center for social science theory and methodology ics at the university of groningen vera is intrigued by changes in kinship networks as a result of divorce in her research she studies enlarged grandparent generations due to the presence of step grandparents in addition to analyzing kinship networks she also examines the quality of relationships within the family network by collecting and analyzing survey data sara nunziatini sara nunziatini is a computational social science student at the university of amsterdam and an assistant to the planet nl research group gina ristani gina ristani is a learning scientist with a background in educational psychology and physics serving as the community lab manager for the planet nl research group she coordinates joint research initiatives supports internal operations and facilitates collaboration across researchers data custodians funders and policy partners within the dutch and european research ecosystem arda ergin phd candidate in computational social science at the university of amsterdam he is interested in using graph neural networks to understand and develop actionable insights for complex issues such as inequality segregation sustainability and polarization jomana abdelrahman jomana abdelrahman is a phd candidate in computational social science with a background in political science analytics data science and applied ai her research blends social science theory with computational methods with a particular focus on using network analysis to study complex social and political systems jomana s interests span network science social inequality platform governance and accountability in computational systems legacy projects the team has been previously involved in a number of other projects in the field among which population scale social networks popnet this project was developed by our team under popnet which ran from 2020 to 2024 since 2025 the developed digital infrastructure and research community are under the umbrella of the netherlands platform for large scale analysis of networks planet nl for more information and additional resources related to popnet please visit www popnet io global corporate networks corpnet this area of expertise builds upon the success of the 2015 2019 erc corpnet project see the project website for details corpnet uva nl the underlying research is particularly focused on how corporate networks provide insights in transparency power dynamics and the social implications of corporate ownership stay up to date with planet nl join our mailing list for upcoming events and news email sign up i want to subscribe to your mailing list bottom of page
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