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D.M. (Daniel) Mayerhoffer

Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Institutions, Inequalities and Life courses

Bezoekadres
  • Nieuwe Achtergracht 166
Postadres
  • Postbus 15508
    1001 NA Amsterdam
Contactgegevens
  • About Daniel

    Daniel is Assistant Professor in the Bachelor Program Computational Social Science, a member of the Institutions, Inequalities, and Life courses research group in Sociology, and affiliated with the Data Science Centre.

    He uses Agent Based Simulation, among and in combination with other methods, to explain and predict complex socio-technical systems to enhance their governance. He applies Computational Models mainly to questions in Political Epistemology, Collective Behaviour and Economics. Furthermore, he evaluates these models from an analytical and Philosophy of Science perspective. See his two research foci for further details.

    Daniel's transdisciplinary background facilitates work on various topics and collaboration in diverse teams.

     

  • Key Research: Social Comparisons and Perceptions of Inequality in Homophilic Networks (SCorPIoN)

    Across income groups and countries, the public perception of economic inequality and many other macroeconomic variables is spectacularly wrong. These misperceptions have far-reaching consequences, as it is perceived inequality, not actual inequality informing redistributive preferences and hence voting behaviour. The prevalence of this phenomenon independent of social class and welfare regime suggests the existence of a common mechanism behind public perceptions that has not yet been fully accounted for. The same holds for perceptions of gender and racial wage gaps. We identify social comparisons within localised neighbourhoods as a potential mechanism. Moreover, these social comparisons may cause individuals with lower income to consume more than they would otherwise and hence contribute to expenditure cascades.

    Our project reconciles these phenomena by offering a mechanism of homophilic linkage based on income. This homophily means that individuals retrieve information from a limited sample which is biased towards less inequality. This allows to explain a variety of phenomena, ranging from perceptions of general inequality (in income and wealth), racial or gender wage gaps and intersectional discrimination to preference formation regarding redistribution and patterns of status consumption.

    Several subprojects have already concluded while others are ongoing. See the publication list and the Project Webpage for more details. Feel free to get in touch if you want to collaborate!

  • Key Research: Forum for Research on Phenomenon-Oriented Science (FoRPhOS)

    FoRPhOS recognizes the transformative global challenges of our times - migration, terrorism, natural disasters, pandemics, and advanced technology, such as AI. These phenomena aren’t isolated to single disciplines; instead, they demand a cross-disciplinary approach to fully comprehend and effectively address them.

    Regrettably, existing evaluation metrics are discipline-bound and overlook the valuable contributions from interdisciplinary or phenomenon-oriented research. Consequently, researchers are often compelled to publish within their specific disciplines to gain recognition and enhance their career prospects, consequently stifling the transdisciplinary exploration and understanding needed for these complex phenomena.

    Our primary objective at FoRPhOS is to pioneer a new system of metrics capable of evaluating both individual and institutional efforts in phenomenon-oriented research. This implies two specific goals:

    1. Develop and refine a methodology and data extraction processes
    2. Apply our metrics and tools to various fields, such as terrorism research, the study of wicked problems, or AI.

    We have successfully applied the project to understand migration studies and currently work on doing so for terrorism research and the study of WICKED problems. See the Forum Webpage for more details. FoRPhOS welcomes interested researchers as new members.

  • Building with Lego Bricks for Research, Teaching, and Leisure

    Daniel does not only build computational models but LEGO models, too. Sometimes, his builds actually illustrate his research or teaching and can be found on his slides.

    In his free time, Daniel enjoys extensive political discussions with friends, where he fancies argumentative rigour.

    Daniel's brick-built computer that runs some of his computer simulations
    Inequality (Perceptions) in Lego
  • Publicaties

    2023

    • Mayerhoffer, D. M., & Schulz, J. (2023). Redistribution, Social Segregation and Voting Information. In G. Sileno, N. Lettieri, & C. Becker (Eds.), Proceedings of the 2nd Workshop on Agent-based Modeling and Policy-Making (AMPM 2022): co-located with 35th International Conference on Legal Knowledge and Information Systems (JURIX 2022) : Saarbrücken, Germany, December 14, 2022 Article 5 (CEUR Workshop Proceedings; Vol. 3420). CEUR-WS. https://ceur-ws.org/Vol-3420/paper5.pdf [details]
    • Schulz, J., & Mayerhoffer, D. M. (2023). A Network Approach to Consumption. Review of Behavioral Economics, 10(3), 229-262. https://doi.org/10.1561/105.00000174 [details]
    • Schulz-Gebhard, J., Mayerhoffer, D. M., & Gebhard, A. (2023). Soziale Vergleiche und Ungleichheitswahrnehmungen. Der Öffentliche Sektor. Forschungsmemoranden, 48(2), 15-18. https://doi.org/10.34749/OES.2022.4643

    2022

    • Mayerhoffer, D. M., & Schulz, J. (2022). Marginalisation and Misperception: Perceiving Gender and Racial Wage Gaps in Ego Networks. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex Networks and Their Applications X - Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (pp. 768-779). (Studies in Computational Intelligence; Vol. 1015). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-93409-5_63
    • Mayerhoffer, D. M., & Schulz, J. (2022). Perception and privilege. Applied Network Science, 7, Article 32. https://doi.org/10.1007/s41109-022-00467-x
    • Rothenberger, L., Pasta, M. Q., & Mayerhoffer, D. (2022). Mapping and impact assessment of phenomenon-oriented research fields: The example of migration research. Quantitative Science Studies, 2(4), 1466-1485. https://doi.org/10.1162/qss_a_00163
    • Schulz, J., Mayerhoffer, D. M., & Gebhard, A. (2022). A network-based explanation of inequality perceptions. Social Networks, 70, 306-324. https://doi.org/10.1016/j.socnet.2022.02.007 [details]

    2021

    • Schulz, J., & Mayerhoffer, D. M. (2021). Equal chances, unequal outcomes? Network-based evolutionary learning and the industrial dynamics of superstar firms. Journal of Business Economics, 91(9), 1357-1385. https://doi.org/10.1007/s11573-021-01047-8

    2020

    • Asgharpourmasouleh, A., Fattahzadeh, M., Mayerhoffer, D., & Lorenz, J. (2020). On the Fate of Protests : Dynamics of Social Activation and Topic Selection Online and in the Streets. In Computational Conflict Research Otto-Friedrich-Universität. https://doi.org/10.20378/irb-47017

    2018

    • Mayerhoffer, D. M. (2018). Raising Children to Be (In-)Tolerant. Influence of Church, Education, and Society on Adolescents' Stance towards Queer People in Germany. Historical Social Research, 43(1), 144-167. https://doi.org/10.12759/hsr.43.2018.1.144-167

    2017

    • Mayerhoffer, D. M. (2017). Play Away! Why Cheating is Morally Okay. 360° : das studentische Journal für Politik und Gesellschaft, 2017(1), 66-75.

    2015

    • Mayerhoffer, D. M. (2015). Analytical approximation of the results of T. C. Schelling’s Checkerboard Model. Rerum Causae, 7(2), 16-28.

    2020

    • Klein, D. (Author), Marx, J. (Author), Sirsch, J. (Author), & Mayerhoffer, D. M. (Author). (2020). Interaction and Infection: Simulating non-pharmaceutical inventions against the spread of a viral disease from a social science perspective. Web publication or website, GESIS Blog - Growing Knowledge in the Social Sciences. https://doi.org/10.34879/gesisblog.2020.1

    2023

    Prijs / subsidie

    Andere

    • Mayerhoffer, D. (visiting researcher) (1-12-2022 - 31-12-2022). Otto-Friedrich-Universität Bamberg (visiting an external institution).
    • Mayerhoffer, D. (participant) (1-1-2022 - 31-3-2023). 3rd International Pluralumn* Workshop, Bielefeld. Co-Organisation of Event (organising a conference, workshop, ...).
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Nevenwerkzaamheden
    • Frankfurt School of Finance and Manageme
      Honorary Teaching
    • Otto-Friedrich University of Bamberg
      Visiting Professorship