Team members
Bringing together researchers and PhD scholars from Denmark, Finland and Sweden, our project consortium consists of four nodes: the Institute for Analytical Sociology (Linköping University, Sweden), Department of Sociology and Social Work (Aalborg University, Denmark), Department of Computer Science (Aalto University, Finland), and the Population Research Institute (Väestöliitto, Finland).
Name | Role | Title | Affiliation |
---|---|---|---|
Carl Nordlund | Project lead, key researcher | Associate professor | Institute for Analytical Sociology, Linköping University, Sweden |
Anja Jørgensen | Key researcher, Team lead | Professor | Department of Sociology and Social Work, Aalborg University, Denmark |
Kimmo Kaski | Key researcher, Team lead | Professor | Department of Computer Science, Aalto University, Finland |
Anna Rotkirch | Key researcher, Team lead | Professor | Population Research institute, Väestöliitto, Finland |
Venla Berg | Key researcher | Researcher | Population Research institute, Väestöliitto, Finland |
Kunal Bhattacharya | Key researcher | Staff Scientist | Department of Computer Science, Aalto University, Finland |
Jose Luiz Estévez | Key researcher | Researcher | Population Research institute, Väestöliitto, Finland |
Kristian Gade Kjelmann | Researcher | PhD student | Department of Sociology and Social Work, Aalborg University, Denmark |
Jesper Lindmarker | Researcher | PhD student | Institute for Analytical Sociology, Linköping University, Sweden |
Rolf Lyneborg Lund | Key researcher | Assistant Professor | Department of Sociology and Social Work, Aalborg University, Denmark |
Chandreyee Roy | Key researcher | Postdoctoral Researcher | Department of Computer Science, Aalto University, Finland |
Tuomas Takko | Researcher | PhD student (external) | Department of Computer Science, Aalto University, Finland |
Katerina Vrotsou | Researcher (visualization) | Associate professor | Media and Information Technology, Linköping University, Sweden |
Research nodes
Linköping university, Sweden
Institute for Analytical Sociology
The Institute for Analytical Sociology at Linköping University (campus Norrköping) represents the Swedish node in this Nordic collaboration and also the organization from which the project is led and managed. Apart from leading the project, Carl Nordlund is co-leading two of the substantive themes in the project: Networks of inter-ethnic family formation (co-led with Anna Rotkirch), and Employment networks and labor market structures (co-led with Rolf Lyneborg Lund). Jesper Lindmarker, PhD student with a focus on the former of these, is also located at the Institute for Analytical Sociology. Starting in 2024, this team will also include Katerina Vrotsou from the Department of Science and Technology, Media and Information Technology group, at Linköping university, who will then join the team together with a visualization engineer/developer.
Aalborg University
Department of Sociology and Social Work
The Danish node of this project is represented by the Department for Sociology and Social Work at Aalborg University. Led by professor Anja Jørgensen, this team also consist of Rolf Lyneborg Lund (assistant professor) and PhD student Kristian Gade Kjelmann. At the Danish node, Anja Jørgensen co-leads the theme on Residential mobility and ethnic segregation (with Kimmo Kaski), and Rolf Lyneborg Lund co-leads the theme on Employment networks and labor market structures (co-led with Carl Nordlund).
Aalto University
Department of Computer Science
The Aalto team represents one of the two Finnish nodes in this collaboration and has computational and network science, data science with AI and machine learning as well as computational analytics and modeling as areas of competence. The focus of the team headed by professor Kimmo Kaski is on developing novel methods to extract knowledge from large datasets, designing algorithms to summarize large volumes of data, and exploring novel ways of using the extracted information. Kimmo Kaski will co-lead the theme on Residential mobility and ethnic segregation (with Anja Jørgensen), and staff scientist Kunal Bhattacharya will co-lead management-related tasks with Carl Nordlund at IAS. This node also includes postdoctoral researcher Chandreyee Roy and PhD student Tuomas Takko (external).
Väestöliitto
Population Research institute
The Population Research Institute at the Family Federation of Finland (Väestöliitto) is one of the two Finnish nodes in this project. Väestöliitto is an NGO that provides evidence-based knowledge to develop Finnish family policy, with extensive connections and collaborations with policy-makers in Finland and with other organizations in EU. Professor Anna Rotkirch, the director of the Population Research Institute, co-leads the Network of inter-ethnic family formation theme (with Carl Nordlund). In addition to Anna Rotkirch, this team also consists of Venla Berg, leading researcher at Väestöliitto, and an additional postdoctoral research fellow will join the consortium later in 2022.
People
Carl NordlundProject lead, key researcher • Institute for Analytical Sociology • Linköping UniversityCarl Nordlund is an associate professor (docent) at the Institute for Analytical Sociology at Linköping University. Following studies in computer science, mathematics, economic history, development studies and human ecology, he obtained his PhD in human ecology from the Department of Human Geography at Lund University in 2010. This was followed by postdoctoral fellowships at Central European University, Budapest, with joint positions at the Department of Political Science and Center for Network Science, and positions at the European University Institute, Florence, and Department of Economic History, Lund University. His work has mainly been published in Social Networks, as well as Network Science, Geographical Analysis, Journal of European Integration, and Studies in Comparative International Development. In addition to project management tasks, his substantive interests within this project is in inter-ethnic family formation and labor market structures, as well as the development of network-analytical methods, particularly deterministic blockmodeling techniques, and in D3js visualization techniques. |
Anja JørgensenKey researcher, Team lead • Department of Sociology and Social Work • Aalborg UniversityAnja Jørgensen is a professor in Urban Sociology and head of SocMap. She has a comprehensive experience conducting and managing research projects within urban -and rural sociology, territorial inequality, urbanization, territorial cohesion, neighbourhood communities, place based belonging and vulnerable neighborhoods. As the research-coordinator of the Horizon 2020 project COHSMO she has been engaged in developing a territorial dimension of the European Social Model of economic growth and democratic capacity. She is one of the central figures (together with Rolf Lyneborg Lund) in developing a micro-area mapping tool based on flexible boundaries, sociological variables and algorithmic learning. This is a unique tool to integrate in-depth understanding of territorial variations and territorial inequality in order to identify geosocial diversity and local uniqueness into sociological analysis. As for ethnic residential segregation (WP3) territorial and social variations and inequalities are critical in order to understand how, where and why residential segregation is a significant driver for perpetuating inequalities. Lack of social exposure and ties to the native population could severely impact employment prospects, learning the native language, and obtaining the social and cultural capital necessary for successfully navigating institutions and educational systems. |
Jose Luiz EstévezKey researcher • Population Research institute • VäestöliittoJosé Luis Estévez is a postdoctoral researcher at Väestöliitto. He studies social network effects on fertility dimensions with especial attention to migrants and inter-ethnic families using Finnish register data. |
Kristian Gade KjelmannResearcher • Department of Sociology and Social Work • Aalborg UniversityKristian Kjelmann is a PhD student at the Department of Sociology and Social Work at Aalborg University. He is a sociologist by trade and a self-taught data wizard. He started up the digital data and methods laboratory [CALDISS at Aalborg University] which he ran from 2018-2022. His research interests includes the use of digital text and computational methods in answering social science research questions. |
Jesper LindmarkerResearcher • Institute for Analytical Sociology • Linköping UniversityJesper Lindmarker is a PhD student at the Institute for Analytical Sociology at Linköping University. Previous studies include organizational studies & business during an accompanying career as an entrepreneur. Later he continued with anthropology, sociology and a master in demography at the Demography Unit at Stockholm university. In the current project Jesper is focusing on integration processes over time expressed as inter ethnic family formation.
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Rolf Lyneborg LundKey researcher • Department of Sociology and Social Work • Aalborg UniversityRolf Lyneborg Lund is an assistant professor at the Department of Sociology and Social Work, Aalborg University. Following a PhD revolving around spatial machine learning and sociogeographical inequality for which he was awarded the Spar Nord Foundation Research Award, Rolf has been working on conceptual and methodological frameworks with a special focus on register based machine learning and image recognition using satellite imagery to further understand the social world. He is the primary coordinator courses on applied machine learning on Department of Sociology and Social Work as well as on Department of Politics and Society. |
Chandreyee RoyKey researcher • Department of Computer Science • Aalto UniversityChandreyee Roy is a Postdoctoral Researcher at Aalto University. She has obtained her Ph.D. in Statistical Physics from Calcutta University, Kolkata in 2019 and has worked on theoretical modelling in the past. Currently, her research focus is on studying human behaviour and their interpersonal relationships based on age and gender through social networks by analysing data from mobile phone communication records. She has also worked in developing methodologies to understand circadian rhythms of humans through calling patterns of the individuals in the network. In this project her interest lies in using social networks to study the dynamics and social mobility of different ethnic communities in the Nordic countries. |