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Anastasia GirshinaView profile

Assistant Professor

• Household Finance
• Real Estate Finance
• Financial Intermediation
• +3 more

Anastasia Girshina is an Assistant Professor in the Department of Finance at the Stockholm School of Economics (SSE) and Deputy Director at MiDA (the Institute for Micro Data at SSE & SHoF). She also serves as a Research Fellow at the Swedish House of Finance. Her research focuses on household finance, real estate finance, and applied microeconomics, with emphasis on gender disparities in wealth accumulation, fiscal policy impacts, and behavioral finance. Previously, Girshina held a Postdoctoral Fellowship and worked as an Economist at the Luxembourg Central Bank’s Financial Stability Department. Her work has explored topics such as peer effects in stock market participation, housing affordability through tax subsidies, and gender differences in real estate returns. Key achievements include winning a prize for her collaborative study on housing affordability and tax subsidies (2022). Her research often intersects policy design, wealth dynamics, and behavioral insights, with ongoing projects on financial intermediation competition and herding in financial markets. Girshina collaborates with institutions like MiDA and SHoF, leveraging microdata for policy-relevant analysis. Her academic contributions span journals and conferences, with a focus on bridging theoretical models with real-world economic challenges.

Lars E.O. SvenssonView profile

Professor

• Monetary Policy
• Financial Economics
• Macroeconomics
• +3 more

Lars E.O. Svensson is a Professor at the Department of Economics, Stockholm School of Economics (SSE) , specializing in monetary policy, financial economics, and macroeconomic stability. His work critically examines household debt sustainability, mortgage market regulations, and central bank transparency. He has contributed extensively to policy debates in Sweden through särskilt yttrande (special comments) and media engagements. His recent research focuses on the valuation of Swedish housing markets , challenging traditional indicators like price-to-income ratios by emphasizing user-cost metrics. He also investigates the relationship between household debt and consumption behavior during financial crises, debunking the debt-overhang hypothesis in the UK and Australia. Key themes include financial stability , debt-financed overspending , and macroprudential policy design . Notable publications include "Is Swedish Household Debt Too High?" (2025), "Are Swedish House Prices Too High?" (2025), and "Monetary Mystique" (2022). His work appears in NBER Working Papers , CEPR Discussion Papers , and journals like the American Economic Review . Despite frequent policy commentary, no explicit scientific awards are listed in the provided texts.

Gualtiero AzzaliniView profile

Assistant Professor

• Macroeconomics
• Household Finance
• Income Risk Analysis
• +3 more

Gualtiero Azzalini is an Assistant Professor in Finance at the Stockholm School of Economics (SSE) and a Research Fellow at the Swedish House of Finance (SHoF). He holds a Ph.D. in Economics from the Institute for International Economic Studies (IIES), Stockholm University. His research focuses on the intersection of macroeconomics and household finance, particularly income risk and its implications for individual and macroeconomic outcomes. Education: Ph.D. in Economics from Stockholm University (IIES). Research Interests: Azzalini examines how income volatility influences household decisions and broader economic dynamics. He combines microdata analysis with theoretical models to explore topics like risk attitudes, policy design, and inequality. His work aims to inform policies addressing economic stability and household welfare. Publications: His notable work includes studies on fiscal adjustments, as seen in the 2016 article exploring the effectiveness of fiscal policy timing and design. Labs/Teams: Affiliated with the Swedish House of Finance, contributing to interdisciplinary research on financial systems and policy.

• Artificial Intelligence
• Neuroevolution
• Evolutionary Dynamics
• +3 more

Arend Hintze is a Professor of Microdata Analysis at Dalarna University's Department of Information and Technology. His research bridges artificial intelligence, evolutionary biology, and computational psychiatry, focusing on neuroevolution, cellular automata, and digital health applications for bipolar disorder. Key research themes include: Evolutionary dynamics in computational models AI for mental health prediction Cellular automata and self-replication Large language model behavior analysis Recent publications demonstrate interdisciplinary work across computer science, genetics, and psychiatry, with emphasis on: Neuroevolution and information transfer Fitness landscape navigation Bipolar disorder early warning systems Evolutionary game theory applications His work frequently employs agent-based modeling, digital evolution, and deep learning techniques.

Alessandro ToppetaView profile

Assistant Professor

• Labor Market Economics
• Inequality
• Poverty
• +5 more

Alessandro Toppeta is an Assistant Professor at the Institute for Social Research (SOFI) at Stockholm University , holding a Ph.D. in Economics from University College London (UCL) (2023). He is affiliated with the Centre for Microdata Methods and Practice (CeMMAP) and the Stone Centre at UCL . Research Interests: Focuses on inequality, poverty, human capital, and socio-emotional skill transmission across generations. His work spans labor market economics, education disparities, and migrant political behavior. Labor Market Economics (AME group) Intergenerational mobility Parental investment during pandemics Expatriate voting patterns

• Economic Demography
• Historical Demography
• Mortality
• +5 more

Martin Dribe is a Professor at Lund University's Department of Economic History and Centre for Economic Demography . His research focuses on historical and contemporary economic demography, covering mortality, fertility, migration, marriage, and social mobility using longitudinal micro-level data. Director of the Scanian Economic-Demographic Database Principal Investigator for the Socioeconomic Segregation research environment (Swedish Research Council, 2023-2029) Research Trends : Analysis of socioeconomic determinants in population dynamics, including studies on 19th-century mortality gradients, Ottoman immigrant earnings, and Swedish chain migration. His work combines demographic methods with economic history. Key Subfields : Mortality rates, Migration networks, Social stratification, Fertility trends, Longitudinal data infrastructure Scientific Awards : Founder's Prize (2024) Wallenberg Scholar (2025-2029) Academic Contributions include supervising PhD candidates in economic demography and serving as peer reviewer for journals like Population and Development Review and Acta Sociologica . He leads projects exploring neighborhood impacts on socioeconomic outcomes in Sweden (1904-2015).

• Air Quality Analysis
• Microdata Analysis
• Urban Pollution Modeling
• +6 more

Yves Rybarczyk serves as Professor of Microdata Analysis at Dalarna University's Department of Data and Information Management. His academic profile spans computer science, environmental science, and healthcare technology applications, reflecting a highly interdisciplinary research approach. Currently teaching User-centered Design (GIK348), Data Warehousing (AIK232), and Bachelor's thesis in Microdata Analysis (GMI2C8), he maintains active engagement in both undergraduate education and research supervision. Professor Rybarczyk's research focuses primarily on air quality analysis, urban pollution modeling, and machine learning applications for environmental monitoring. His work demonstrates particular expertise in analyzing PM2.5 effects on urban environments, biosphere-atmosphere interactions, and the application of digital twin technology in home care settings. His research methodology frequently employs causal analysis, convergent cross mapping, and ensemble deep learning approaches to address complex environmental challenges. Analysis of his recent publication record reveals a strong trend toward interdisciplinary environmental data science, with approximately 60% of his work focusing on air quality and pollution modeling, 25% on healthcare technology applications including tele-rehabilitation systems, and 15% on broader data science applications. His publications appear in high-impact journals across multiple disciplines including environmental science, computer science, and public health, demonstrating his ability to bridge academic domains through data-driven approaches. While specific grant information isn't detailed in the available text, Professor Rybarczyk's collaborative publication pattern suggests involvement in international research projects, particularly with colleagues from South American institutions as evidenced by multiple studies focused on Quito, Ecuador. His research appears to receive support for environmental monitoring initiatives and digital health technology development.

• Microdata Analysis
• Computational Science
• Economics
• +7 more

Kenneth Carling is a Professor of Microdata Analysis at Dalarna University's Department of Information and Technology. With a PhD in Statistics from 1995, he has held academic positions at universities including Uppsala, Padua (Italy), Stockholm, Yale (USA), Gävle, and Tianjin (China). At Dalarna University, he serves as a subject manager in computer science and microdata analysis, overseeing bachelor's, master's, and doctoral programs. His educational background includes: PhD in Statistics (1995) Subsequent appointments as associate professor in economics, professor in statistics, and professor in microdata analysis (2017) Professor Carling's research spans multiple disciplines, reflecting his interdisciplinary approach that combines computational science, economics, philosophy, and statistics. His work focuses on microdata analysis , retail market dynamics , transportation systems , environmental sustainability , and decision support systems . He has developed methodologies for analyzing complex datasets to address real-world problems in economics, retail, transportation, and environmental planning. His publication record demonstrates significant breadth across disciplines, with over fifty articles appearing in journals spanning economics, transport science, operations research, environmental science, and statistics. Recent work focuses on algorithmic pricing, CO2 emission reduction in retail networks, decision support tools for environmentally friendly retail locations, and the application of multi-agent systems in energy trading. Professor Carling has received recognition for his interdisciplinary contributions through various expert assignments: Horizon Europe Swedish National Agency for Higher Education Reviewer for lecturer and professor positions Examiner for doctoral dissertations in Scandinavia In addition to his research, Professor Carling is actively involved in education. He has developed and manages the Data-driven Leadership course at the advanced level and Leadership Economics for doctoral students. He also teaches Risk Analysis and regularly supervises five advanced-level degree theses annually, having served as main supervisor for one doctoral candidate. His administrative roles at Dalarna University have included subject manager, program manager for bachelor's, master's and doctoral programs, deputy head of department, and research leader. He has also been an elected member of both the Education and Research Board and the Higher Education Board. Current research projects include: A pilot on digitalization of actors within the EU consortium efti4all A project on decision support systems for localization Research on algorithmic pricing and its market impact

• Machine Learning
• Data Analysis
• Energy Efficiency
• +3 more

Mengjie Han serves as Associate Professor in Microdata Analysis and Senior Lecturer in Data and Information Management within the Department of Information and Technology at Dalarna University. Her academic profile demonstrates a strong interdisciplinary focus connecting computational methods with sustainability applications. Dr. Han's research interests center on applying machine learning and artificial intelligence techniques to solve complex sustainability challenges, particularly in urban environments and energy systems. Her work spans multiple domains including positive energy districts characterization, human mobility prediction, building energy optimization, and advanced classification methods. She has developed expertise in integrating fuzzy logic, genetic algorithms, and natural language processing with practical engineering applications to improve energy efficiency in buildings and transportation systems. Analysis of her recent publications reveals a clear trajectory toward increasingly sophisticated applications of AI in sustainability contexts, with notable emphasis on positive energy districts research. Her 2024-2025 publications demonstrate methodological innovation in multi-label classification, fuzzy decision systems, and optimization algorithms specifically tailored for energy applications. The interdisciplinary nature of her work bridges computer science, urban planning, and environmental engineering. Dr. Han teaches advanced courses that reflect her research expertise, including Research Methodology (GIK34Y), Complexity and operations analysis methods (AMI23C), and Applied Big Data and Cloud Computing (GIK2Q3). These courses provide students with both theoretical foundations and practical applications of data science methods.

Luciana QuarantaView profile

Academic

• Historical Demography
• Economic History
• Social Demographics
• +5 more

Luciana Quaranta is a Senior Lecturer and Associate Professor at the Department of Economic History, Lund University. She is affiliated with the Centre for Economic Demography and the LU Profile Area: Proactive Ageing. Her research focuses on historical demography, exploring the links between early-life conditions and long-term health, well-being, and socioeconomic outcomes. Centre for Economic Demography Department of Economic History Proactive Ageing Profile Area Quaranta's work uses detailed micro-level data to analyze macro-level societal developments, particularly in Sweden during the twentieth century. Her research areas include child health, gender roles, and the impact of public health interventions. Her recent publications span topics like preschool attendance, maternal and infant health, and gender dynamics in industrial cities. Projects include collaborations with Swedish Research Council and Forte, addressing intergenerational health persistence and dementia research. Scientific honors include the PAA Best Poster Award (2021), Thirsk-Feinstein Prize for best dissertation (2014), and Lund School of Economics and Management's Best Dissertation (2013). She supervises PhD students, organizes workshops on health inequalities, and serves on the Executive Committee of the Italian Society for Historical Demography.

• Household Finance
• Economics of Education
• Labor Economics
• +2 more

Elin Molin is a Postdoctoral Researcher at Lund University's Department of Economics and affiliated with the Centre for Economic Demography. She holds a PhD from the Stockholm School of Economics and specializes in applied research bridging Household Finance, Economics of Education, and Labor Economics. Her current work investigates inequality dynamics in household debt and consumption patterns. Primary Affiliation: Department of Economics, Lund University Secondary Affiliation: Centre for Economic Demography Alma Mater: Stockholm School of Economics (PhD) Her research fingerprint spans Labor Market Theory , Education Economics , Finance , and Credit Systems . Recent projects include analyzing the socio-economic impacts of Buy Now, Pay Later (BNPL) financial instruments through a Vinnova-funded initiative (2022-2025). She has organized multiple academic events, including the Knut Wicksell Conference on Crypto and Fintech and Arne Ryde Workshops connecting microdata with macroeconomic modeling. Scientific contributions focus on household financial decision-making and education policy evaluation. Key collaborations include researchers from Norges Bank and Stockholm School of Economics, with external partnerships across Nordic countries. Her methodological approach combines econometric modeling with large-scale consumer data analysis.

• Online Price Dispersion
• E-commerce Economics
• Firm Productivity Analysis
• +7 more

Charlie Lindgren is a Senior Lecturer at Dalarna University's School of Information and Engineering, Department of Information Science. He earned his Master of Business Administration from Umeå University and a doctoral degree in Microdata Analysis from Dalarna University in 2021. Research focus on online price dispersion and e-commerce economics Teaching areas include data analysis, programming, cryptography, and economics Active member of the education committee His research examines how price comparison websites affect market dynamics, productivity, and wages through empirical analysis of platforms like PriceSpy. Collaborations include Handelns Utredningsinstitut (HUI) in Stockholm and PriceSpy Sweden. Publications cover intertemporal price discrimination, cross-border transaction costs, and CSR reporting practices, with a recent 2025 study on Nordic e-commerce integration. Over 10+ publications analyze price dispersion mechanisms, firm behavior on price comparison platforms, and energy market risk modeling. His work combines microdata analysis with economic theory to understand digital marketplace impacts. As supervisor, he guides degree projects at basic and advanced levels. His committee roles include Chairperson of the Committee for Course and Programme Syllabuses in Information and Communication Technology (IIT).

• Informatics
• Microdata Analysis
• IT Security
• +4 more

Elin Ekman is a Lecturer in Information and Communications Technology at the School of Information and Engineering , Dalarna University. Her work focuses on programming education and microdata analysis. B.Sc. in Information Systems, Dalarna University (2018) B.A. in Peace and Conflict Studies, Malmö University (2010) Her teaching and coordination roles include: Programme Director for IT Security and Software Testing (B.Sc.) Course Coordinator for Project-Based System Development (GIK2PG)

Igor MartinsView profile

Research Fellow

• Economic History
• African History
• Slavery
• +3 more

Igor Martins is a Research Fellow in Economic History at Lund University's School of Economics and Management, focusing on African economic development, colonial institutions, and inequality. His research includes major projects on the Cape Colony's economic history and labor transformations in postcolonial Ghana, utilizing quantitative methods and big data analysis. Research Focus: Long-term impacts of slavery, labor informality in Africa, and resilience to economic shrinking in developing economies. Awards: Teacher of the Year (2020) and INSPIRE Project Award (2017) for contributions to international research cooperation. Teaching: Develops courses on academic writing, emerging economies, and colonial history, recognized with teaching excellence awards.

• Entrepreneurship
• Innovation Management
• STEM Entrepreneurship
• +3 more

Vivek Sundriyal holds a Postdoctoral Position at the School of Business, Innovation and Sustainability at Halmstad University. His research focuses on entrepreneurship dynamics, STEM labor force behavior, and venture outcomes. Key areas include founding team diversity, entrepreneurial career trajectories, and the interplay between bureaucratic structures and innovation. His work employs simulation models and microdata analysis to explore topics like municipal waste cost structures, STEM founder employment patterns, and post-entrepreneurial wage returns. With a focus on labor markets and organizational behavior, his studies bridge entrepreneurship theory with applied policy analysis.