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Bernhard Rengs

Economic Demography

+43 1 51581 - 7732
Bernhard.Rengs(at)oeaw.ac.at

Dominikanerbastei 16, 1010 Wien
Room 05 01 A R18 01

Biographical sketch

Bernhard Rengs joined the Vienna Institute of Demography in 2014. He has an interdisciplinary background in computer science and economics and received his master and PhD degrees from TU Wien, Austria. From 2003 to 2014 he was Assistant Professor at the Institute for Mathematical Methods in Economics, TU Wien, Austria. His current research focuses on studying forced migration, the human capital of migrants and labor market and integration policies. He conducted scientific surveys when crucial data was not available and mainly works with microdata based on survey samples or full datasets, e.g. as those provided in the Austrian microdata center. Another interest lies in the development and usage of novel approaches in information visualization to present and communicate insights. Past research focused on the application of computational agent-based modelling in demography and population economics as well as environmental economics & policy employing socio-economic and evolutionary economic insights.

Current research projects

Selected Publications

  • High self-selection of Ukrainian refugees into Europe: Evidence from Kraków and Vienna. / Kohlenberger, Judith; Buber-Ennser, Isabella; Pędziwiatr, Konrad et al.
    in: PLoS ONE, Jahrgang 18, Nr. 12, 21.12.2023, S. e0279783.
    DOIWebsiteRISENWBIB
  • Nuclear family and social capital of refugees in Austria. / Kohlenberger, Judith; Rengs, Bernhard; Buber-Ennser, Isabella.
    in: International Migration, Jahrgang 61, Nr. 1, 17.10.2022, S. 220-238.
    DOIRISENWBIB
  • Labor and environment in global value chains: An evolutionary policy study with a three-sector and two-region agent-based macroeconomic model. / Gerdes, Lena; Rengs, Bernhard; Manuel, Scholz-Wäckerle.
    in: Journal of Evolutionary Economics, 14.01.2022, S. ?.
    DOIRISENWBIB
  • Health determinants among refugees in Austria and Germany: A propensity-matched comparative study from Syrian, Afghan and Iraqi refugees. / Georges, Daniela; Buber-Ennser, Isabella; Rengs, Bernhard et al.
    in: PLoS ONE, Jahrgang 16, Nr. 4, 28.04.2021, S. e0250821.
    DOIRISENWBIB
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Areas of Expertise

  • Migration, Forced Migration, Human capital of Migrants
  • Information Visualization, Visual Data Analytics
  • Application of machine learning methods in Demography
  • Computational Social Simulation
  • Agent-Based Computational Simulation

curriculum vitae

publications

Wie syrische Geflüchtete in Österreich Fuß fassen

ÖAW Interview