Open Research Repository

The Open Research Repository (ORR) is the official institutional repository of the Central European University. The repository provides access to the research output of the CEU community by collecting open access versions of scholarly works authored or co-authored by CEU faculty and students.

For more information, please contact us at: scholcom@ceu.edu

Recent Submissions

  • ItemOpen Access
    Correction:Navigating the winds of change: strategic foresight and the power of weak signals
    (2026-05-13) Jabbour, Jason; Davidson, Debra J.; Carlsen, Henrik; King, Nicholas; Lucatello, Simone; Aricò, Salvatore; Cooke, Fang Lee; Datta, Ranjan; Gluckman, Peter; Gutierrez-Espeleta, Edgar E.; Hinwood, Andrea; Jia, Gensuo; Komendantova, Nadejda; Lunga, Wilfred; Madise, Nyovani; Mangalagiu, Diana; Ali, Elham Mahmoud; Moronta-Barrios, Felix; Mycoo, Michelle; Piyawatanametha, Wibool; Stevance, Anne Sophie; Swaminathan, Soumya M.; Ürge-Vorsatz, Diana; Bojic, Ljubisa; Department of Environmental Sciences and Policy
    In this article, several affiliations were incorrect: the affiliation for Simone Lucatello should have been ‘Instituto Mora-SECIHTI, Mexican Ministry for Science, Humanities and Technological Innovation, Mexico’; Nadejda Komendantova ‘International Institute for Applied Systems Analysis, Laxenburg, Austria’; Diana Mangalagiu ‘Neoma Business School, France and University of Oxford, United Kingdom’; Felix Moronta-Barrios ‘International Centre for Genetic Engineering and Biotechnology, Trieste, Italy’; Michelle Mycoo ‘The University of the West Indies, St. Augustine, Trinidad and Tobago’; Anne-Sophie Stevance ‘International Science Council, Paris, France’ The original article has been corrected.
  • ItemOpen Access
    How does informal transnational social protection bond families across borders?:The case of Albanian migrants and their transnational families
    (2020-10) Dhëmbo, Elona
    Understanding the relationship between migration, social protection and doing family in transnational settings is important, both at academic and policy level. Migration disturbs safety nets and it created new realities such as transnational families. Migrants and their left behind families try to close the gap that arises between mobile social needs and static services and provisions. In doing so they (re)invent doing family in a transnational context and the protection they offer to one another primarily in the form of remittance, knowledge transfer, time and emotional care tend to provide solid grounds for bonding them across borders. Looking at the case of Albanian migrants and their transnational families, we reconfirm old patterns and sketch new trends in informal transnational protection practices which construct main fundamental ties holding transnational families together and are key in building and strengthen intergenerational solidarity among Albanian migrants and their left behind family and kin.
  • ItemOpen Access
    Rethinking the transformative role of the social work profession in Albania:Some lessons learned from the response to COVID-19
    (2020) Dauti, Marsela; Dhëmbo, Elona; Bejko, Erika; Allmuça, Marsela
    We provide an overview of the social work response to COVID-19 in Albania. After introducing the country situation, we discuss social workers’ engagement in governmental and non-governmental agencies and provide suggestions for advancing the social work profession. We call for greater engagement of social workers in political spaces.
  • ItemOpen Access
    An exploratory persistent-homology analysis of resting-state fMRI functional connectivity under Ayahuasca
    (2026-08) dos Santos, Tales C.; de Araujo, Draulio B.; Felippe, Helcio; Miranda, José Garcia Vivas; Palhano-Fontes, Fernanda; Silva do Rosário, Raphael; Onias, Heloisa; Viol, Aline; Viswanathan, Gandhimohan M.; Santos, Fernando A.N.; Department of Network and Data Science
    Psychedelic states offer a useful setting for studying changes in large-scale brain organization. Here, we applied Topological Data Analysis (TDA) to resting-state fMRI functional connectivity from nine participants scanned before and after Ayahuasca ingestion. Vietoris–Rips filtrations were constructed from correlation-derived dissimilarity matrices, and persistent entropy was used to quantify the distribution of persistence lifetimes across homology dimensions S0–S3. In the primary absolute-correlation analysis, persistent entropy of H2 features showed a nominal pre/post decrease (W=4.0, p=0.027, rank-biserial correlation =0.822). This effect did not survive correction across the four tested homology dimensions (qFDR=0.109) and was not reproduced when signed correlations were preserved using d(i,j)=1−r(i,j). Exploratory signal-complexity analyses using Lempel–Ziv complexity and sample entropy showed descriptive but statistically non-significant increases in temporal complexity. These results should therefore be interpreted as preliminary and hypothesis-generating, particularly given the small sample size, lack of placebo control, availability of only GSR-preprocessed connectivity data, and sensitivity to the distance definition. The study suggests that persistent homology may provide a useful framework for studying psychedelic-associated changes in the higher-dimensional topology induced by functional connectivity, but replication in larger placebo-controlled datasets is required.
  • ItemOpen Access
    Human mobility in the metaverse mirrors patterns in the physical world
    (2026-05-26) Vasan, Kishore; Karsai, Márton; Barabási, Albert László; Department of Network and Data Science
    The metaverse is a virtual space enabling interactions beyond geographical boundaries, promising to transform how people engage with each other both in the digital and the physical worlds. The lack of geographical boundaries and travel costs in the metaverse prompts us to ask if the fundamental laws that govern human mobility in the physical world apply. We collected data on avatar movements from Decentraland, along with their network mobility extracted from NFT purchases on Ethereum and Polygon. We find that despite the absence of mobility costs, an individual’s inclination to visit new locations diminishes over time, limiting movement to a small fraction of the metaverse. We also find a lack of correlation between land prices and visitation, a deviation from the patterns characterizing the physical world. Finally, we identify the scaling laws that characterize meta mobility and show that we need to add preferential selection to the existing models to explain quantitative patterns of metaverse mobility. Our ability to predict the characteristics of the emerging meta mobility network implies that the laws governing human mobility are rooted in fundamental patterns of human dynamics, rather than the nature of space and cost of movement.
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