Projects per year
Organization profile
Organization profile
The Department of Public Policy (DPP) is a multidisciplinary institution focused on the study of global public policy issues both in theory and in practice. Through excellence in teaching and research, DPP aims to create an educational experience that involves not only the acquisition of skills and knowledge but also the cultivation of a mindset that emphasizes entrepreneurship, innovation, cultural awareness and commitment to the public good.
DPP aims to work with students, faculty, researchers and practitioners who are unafraid to challenge prevalent assumptions in the world of public policy and brave enough to propose new solutions. The Department strives to equip these individuals with the tools to construct a community of "purpose beyond power."
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Collaborations and top research areas from the last five years
Profiles
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EMMELO: European Men, Masculinity, and Extremist Leadership Online
Zentai, V. (Main researcher at CEU) & Kahanec, M. (Researcher)
European Commission - Horizon Europe - Collaborative Projects
1/05/25 → 30/04/28
Project: Research
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NET-ROL: Networks and the Rule of Law: Uncovering Socio-Economic Outcomes
Fazekas, M. (Main researcher at CEU), Bátory, Á. (Researcher) & Kertész, J. (Researcher)
European Commission - Horizon Europe - Collaborative Projects
1/03/25 → 29/02/28
Project: Research
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RESPOND: Rescuing Democracy from Political Corruption in Digital Societies
Fazekas, M. (PI), Bátory, Á. (Researcher) & Poltoratskaya, V. (Researcher)
European Commission - Horizon Europe - Collaborative Projects
1/05/24 → 30/04/29
Project: Research
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How public policy and public salience interact with the energy transition: The case of commercial-scale battery storage adoption
Bettin, S. S. & Dorsch, M. T., Mar 2026, In: Environmental Innovation and Societal Transitions. 58, 24 p., 101056.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Public procurement cartels: A large-sample testing of screens using machine learning
Fazekas, M., Tóth, B., Wachs, J. & Abdou, A., Jan 2026, In: International Journal of Industrial Organization. 104, 21 p., 103228.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Taking Stock of Qualitative Methods of Evaluation: A Study of Practices and Quality Criteria
Bodenstein, T. & Kemmerling, A., Feb 2026, In: Evaluation Review. 50, 1, p. 89-115 27 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Activities
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International Religious Freedom or Belief Alliance (External organization)
Ashraf, C. (Chair)
2025 → …Activity: Membership types › Membership of board
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Group of Chief Scientific Advisors (External organization)
Kahanec, M. (Member)
2025 → 2028Activity: Membership types › Membership of committee
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Horizon Europe project MORES: Moral Emotions in Politics (External organization)
Bátory, Á. (Member of Advisory Board)
1 Jan 2024 → …Activity: Membership types › Membership of board
Prizes
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Ars Docendi State Prize for Excellent Teaching
Krizsán, A. (Recipient) & Moschel, M. (Recipient), 20 Sep 2024
Prize: Prize, award or honor
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Datasets
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Replication data for: "Selective Control: The Political Economy of Censorship"
Corduneanu-Huci, C. (Creator) & Vu, G. (Creator), Harvard Dataverse, 2022
DOI: 10.7910/dvn/g442e0, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/G442E0
Dataset
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Replication Data for: Partisan Procurement: Contracting with the United States Federal Government, 2003–2015
Dahlström, C. (Creator), Fazekas, M. (Creator), Lewis, D. E. (Creator), Dahlström, C. (Contributor) & Lewis, D. E. (Contributor), Harvard Dataverse, 2020
DOI: 10.7910/dvn/4nepi7, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/4NEPI7
Dataset
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Replication Data for: Corduneanu-Huci, Cristina, Michael Dorsch and Paul Maarek. Forthcoming. "What, where, who, and why? An empirical investigation of positionality in political science field experiments" PS: Political Science Politics
Corduneanu-Huci, C. (Creator) & Corduneanu-Huci, C. (Contributor), Harvard Dataverse, 2022
DOI: 10.7910/dvn/jvw4nf, https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/JVW4NF
Dataset