Dr. Anna Sobieraj-Żłobińska serves as an Assistant Professor in the Department of Geodesy within the Faculty of Civil and Environmental Engineering at Gdańsk University of Technology. Her academic work focuses on advanced geospatial technologies and their practical applications in critical infrastructure management. Her research spans LiDAR technology optimization , 3D spatial modeling , and disaster management systems . Key contributions include developing microsimulation frameworks for stadium evacuation planning, creating modified threat detection methods for historic structures, and pioneering down-sampling techniques for large geospatial datasets. Her work bridges theoretical geodesy with real-world safety applications in public infrastructure and cultural heritage preservation. Recent publications reveal a clear trajectory from foundational data processing methods (2019 OptD-MULTI optimization) toward increasingly applied research, culminating in the 2025 stadium evacuation modeling study. Her work consistently addresses big data challenges in geospatial contexts while maintaining focus on practical safety outcomes for public spaces and historic structures. No scientific awards are documented in available sources. Her departmental involvement includes participation in the GINA project (Green Infrastructure in Urban Areas) through the Department of Geodesy, though she is not listed as project manager.
Julia Ingrid Sofia Hellstrand is a Postdoctoral Researcher at the Centre for Social Data Science (CSDS) and Helsinki Institute for Demography and Population Health, Faculty of Social Sciences, University of Helsinki. Her research focuses on demographic dynamics with emphasis on fertility trends, human capital investment, and economic sustainability in Nordic contexts. Her primary research interests include: Computational fertility forecasting and scenario modeling Drivers of fertility decline (educational attainment, economic uncertainty, partnership formation) Human capital-fertility interrelationships Nordic comparative demography Long-term socioeconomic implications of demographic change Dr. Hellstrand's recent publications (2023-2025) demonstrate methodological evolution from descriptive cohort analysis to integrated computational frameworks. Her work now combines probabilistic forecasting of Finnish total fertility rate (TFR) with economic sustainability modeling, examining how educational pathways and partnership dynamics influence demographic trajectories. Key contributions include calibrated TFR projections to 2070 and analyses of how specific educational fields affect fertility decisions in Finland. She actively participates in the Academy of Finland-funded FLUX project (2024-2027), collaborating with international researchers from the Max Planck Institute and Nordic universities. Her methodological toolkit spans demographic decomposition, microsimulation, and machine learning applications for population forecasting. As a postdoctoral researcher, Dr. Hellstrand contributes to graduate training through research assistantships and co-supervision within the CSDS framework. Her work provides critical evidence for Nordic population policy debates, particularly regarding family formation support measures and long-term economic planning under low fertility conditions.
Consuelo R. Nava is Associate Professor of Economic Statistics at the University of Aosta Valley (University of Valle d'Aosta) in the Department of Economic and Political Sciences. She also serves as a visiting professor at the Catholic University of the Sacred Heart in Milan and the University of Turin. Additionally, she is a member of the Cross-Border Center on Tourism and Mountain Economies. Dr. Nava earned her undergraduate degree (laurea triennale) in Business Economics from the University of Aosta Valley and Economics from the University of Turin, both with highest honors (110 e lode). She completed her PhD in Economics with a focus on applied mathematics and statistics at the University of Turin's Vilfredo Pareto Doctoral School in 2014. Following her doctorate, she worked as a research fellow at the Department of Economics and Statistics Cognetti de Martiis at the University of Turin (2014-2016) and as a research grant recipient with the Department of Translational Medicine at the University of Eastern Piedmont (2016-2017). Dr. Nava's research focuses on econometrics, time series analysis in the frequency domain, price indices, Bayesian inference, and discrete choice models. Her work bridges theoretical statistical methods with practical applications in economics, energy markets, tourism, and public health. She has developed innovative approaches to price index construction, switching behavior analysis in electricity markets, and Bayesian methods for modeling complex economic phenomena. Her publications demonstrate a strong interdisciplinary approach, with research spanning economic statistics, public health applications, tourism economics, and energy market analysis. Recent work shows an increasing focus on applying machine learning techniques alongside traditional econometric methods, particularly in analyzing startup survival during economic crises and modeling consumer behavior in liberalized markets. Dr. Nava has received several prestigious awards and recognitions: TEM Summer School Grant, Aosta, Italy Civil Society Talents Fellowship, Giovanni Goria Foundation, Asti, Italy Junior DESPINA Fellow, Big Data Lab, Turin, Italy Google Early Career Researchers Travel Grant, ISBA Socialis Prize, 7th edition, for her thesis on Corporate Social Responsibility Honor Student Scholarship, Collegio Carlo Alberto, Moncalieri, Italy As an educator, Dr. Nava has taught extensively across multiple institutions including Statistics, Quantitative Methods for Management, Econometrics, and Bayesian Statistics. She has served as a reviewer for several academic journals including Economics of Innovation and New Technology, Italian Journal of Applied Statistics, L'Industria, and Bayesian Analysis. Her research projects include studies on cruise ship impacts on destinations, illegal gambling analysis, switching behavior in European electricity markets, and Bayesian methods for analyzing asbestos exposure effects on mesothelioma risk. Her work with the Cross-Border Center on Tourism and Mountain Economies reflects her commitment to regional economic development research.
