Nicole Bellert

Arbeit an der ZHAW

Tätigkeit

Dozentin

Arbeits- und Forschungsschwerpunkte

Applied Statistics, Microeconometrics, Industrial Organization, Statistical Programming (Java, Python, R, Matlab, Stata)

Lehrtätigkeit

Dozentin BSc: Empirical Methods in Economics, Smart Data Analytics for Financial Assets

Berufserfahrung

• Association President
  Naturhort Tüfi
  01 / 2013 - 07 / 2018
• Software Engineer
  Bayerische Landesbank
  09 / 1999 - 06 / 2006

Aus- und Weiterbildung

Ausbildung

• PhD Student (Advisor Andrea Günster (ZHAW), Sven Seuken (UZH)) / Information Systems
  University of Zurich
  09 / 2019 - 12 / 2025
• Master of Business Economics, Majoring in Information Systems
  University of Bamberg
  08 / 1993 - 07 / 1999

Netzwerk

Mitglied in Netzwerken

• LinkedIn
• PhD Network in Data Science

Projekte

• Sustainable Digital Finance / Teammitglied / laufend
• Quantifying Illegal Activity: Estimating Dark Rates and Predicting Offenses / Stellv. Projektleiter:in / abgeschlossen
• Dark Rates in Crime / Projektleiter:in / abgeschlossen
• Gamification: Ein browserbasiertes Tool für Experimente / Teammitglied / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

Bellert, N., & Fauceglia, D. (2019). A practical routine to harmonize product classifications over time. International Economics, 160, 84–89. https://doi.org/10.1016/j.inteco.2019.07.005

Schriftliche Konferenzbeiträge, peer-reviewed

Bellert, N., Günster, A. M., & Kozbur, D. (2023, July 2). Simulating collusion : challenging conventional estimation methods. 17th International Conference on Competition and Regulation (CRESSE), Ixia, Greece, 30 June - 2 July 2023. https://www.cresse.info/wp-content/uploads/2023/09/2023_ps12_pa4_Bellert.pdf

Weitere Publikationen

Bellert, N., Günster, A. M., & Kozbur, D. (2023, June 20). Simulating collusion – challenging conventional estimators. 24th ACM Conference on Economics and Computation, London, United Kingdom, 19-23 June 2023.

Mündliche Konferenzbeiträge und Abstracts

• Bellert, N., Günster, A. M., & Kozbur, D. (2025, August 29). Estimating dark figures : an application to collusion. 52nd Annual Conference of the European Association for Research in Industrial Economics (EARIE), Valencia, Spain, 28-30 August 2025.
• Bellert, N., Günster, A. M., & Kozbur, D. (2025, August 28). Estimating dark figures : an application to cybercrime. 52nd Annual Conference of the European Association for Research in Industrial Economics (EARIE), Valencia, Spain, 28-30 August 2025.
• Bellert, N., Günster, A. M., & Kozbur, D. (2025, June 27). Quantifying illegal activity : estimating dark figures in cybercrime. SSES Annual Congress, Zurich, Switzerland, 26-27 June 2025.
• Bellert, N. (2022). Estimating dark rates in collusion. 22nd EURAM Annual Conference, Winterthur, Switzerland, 15-17 June 2022.
• Bellert, N. (2022). Estimating the dark rates of collusion. Research Seminar Spring 2022, University of Zurich, 5 April 2022.
• Bellert, N., Günster, A. M., & Kozbur, D. (2022, August 26). Simulating collusion : challenging conventional estimation methods. 49th Annual Conference of the European Association for Research in Industrial Economics (EARIE), Vienna, Austria, 25-27 August 2022.
• Bellert, N. (2021). Simulating and estimating dark rates in collusion. Research Seminar Spring 2021, University of Zurich, 17 May 2021.
• Bellert, N. (2021). Dark rate estimation in collusion. IfI Doctoral Symposium, University of Zurich, 10 September 2021.

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