our successes


Sekścińska, K., Rudzinska-Wojciechowska, J., & Jaworska, D. (2021). Self-control and financial risk taking. Journal of Economic Psychology, 85, 102386.


"Persuasive messages will not raise COVID-19 vaccine acceptance. Evidence from a nation-wide online experiment.” by QPE student Joanna Rachubik, QPE coordinator Michał Krawczyk and Raman Kachurka (a fellow Ph.D. student) accepted for publication in a Journal Vaccines.


Sekścińska, K., Jaworska, D., & Rudzinska-Wojciechowska, J. (2021) Self-control and investment choices. Journal of Behavioral Decision Making.


"Self-esteem and financial risk-taking" by Katarzyna Sekścińska, Diana Jaworska (QPE student) and Joanna Rudzinska-Wojciechowska was published in Personality and Individual Differences.


"State lottery in the lab: an experiment in external validity” by Raman Kachurka, Michał Krawczyk (QPE coordinator) and Joanna Rachubik (QPE student) accepted for publication in Experimental Economics. Click here for the Working Paper version.


Scientific article "Decision making model based on attractor network with binary neurons" by Marcin Penconek, QPE student, Procedia Computer Science, Volume 176, 2020. The article is available on the website Science Direct.


National Science Centre funding for the research project "Fear of a pandemic. Biases in risk perception and risk taking in the time of coronavirus" for two QPE students, Joanna Rachubik and Erita Narhetali, along with their supervisor prof. Michał Krawczyk and a fellow PhD student Raman Kachurka. More


National Science Centre funding for the research project "Government-subsidized old-age saving instruments with voluntary participation: effective or not. Reconciling the conflicting empirical data on the crowd-out effect." More

qpe_paper_1.png Mateusz Buczyński, Marcin Chlebus: Working Paper "Size does matter. A study on the required window size for optimal quality market risk models", Working Papers, Faculty of Economic Sciences, No. 9/2020 (315) More

Quantitative Psychology and Economics

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Recruitment schedule 

registration in the Internet Registration of Candidates, referred to as “IRK”, submitting an application to the IRK for admission to the Interdisciplinary Doctoral School:
from 5th of May to 19th of June 2022.

Information for candidates - refugees from Ukraine: in a particularly justified case, the Director of the Doctoral School may, before the deadline for submission of documents to the school secretariat (i.e. 19 September 2022), exempt the candidate, upon his/her request, from all or part of the enrolment fee. Reasoned requests to this effect should be submitted to the Administration of the Doctoral School by e-mail no later than seven days before this deadline.

  • 1st stage of the recruitment procedure: 4 – 14 July, 2022  [assessment of the research project and candidate’s scientific activity],
    • announcement of result of the I st stage of recruitment: 
      14 July 2022,
    • publication of interview schedule (II stage): 
      14 July 2022
  • 2nd stage of the recruitment procedure: 21 – 27 July, 2022  [interview],
    • announcement of the ranking list: 
      31 July 2022,
    • accepting documents from qualified candidates: 
      1 August -19 September, 2022,
    • announcement of the list of accepted candidates: 
      on 21 September 2022.

A unique doctoral program that crosses the boundaries of scientific disciplines. Implemented as part of the Interdisciplinary Doctoral School of the University of Warsaw by the Faculty of Economic Sciences, in cooperation with the Faculty of Psychology and the Faculty of Mathematics, Informatics and Mechanics.

The study program was developed and implemented as part of the University’s Integrated Development Program project, co-funded by the European Social Fund within PO WER, Action 3.5.

The Study Program

During the first year students focus on coursework. In particular, they take a course in microeconomics, offering an advanced take on such areas as game theoretic models of competition in the R&D and network effects in IT markets. They learn psychological theories most relevant to economic behaviour, including elements of cognitive psychology, social psychology, and emotion research. They also get a quick start on modern tools of data analysis; all the courses make use of popular, powerful, open-source coding language and software platform R. During the second and subsequent years the students focus on their own research, taking seminars in such fields as experimental economics and behavioural finance. The program also offers courses on research ethics, how to successfully apply for research grants and on the art of public speaking. The participants also master their teaching skills, under the supervision of senior lecturers.


The full-time doctoral program is offered free of charge to all successful candidates regardless of their nationality. Moreover, all participants receive a monthly schoolarship from Doctoral School throughout their entire four-year education. Doctoral students receive tax-free scholarships in the amount of 37 percent, and after mid-term evaluation – 57 percent of professor's remuneration specified in the appropriate ordinance.  These scholarships are subject to pension and retirement contributions.

Everyone admitted to the QPE program (except for doctoral students already holding a doctoral degree or being employed full-time as a lecturer at the university) receives a scholarship from the beginning with a raise after mid-term evaluation. PhD student with dissabilities will be able to receive a doctoral scholarship increased by 30 percent of the basic amount (i.e. in force before the mid-term evaluation).

Rules of the scholarship Programme “Support from the Start” of the University’s Integrated Development Programme, co-funded by the European Social Fund within PO WER, Action 3.5, for QPE students who started their studies in 2019/2020 Academic Year:

University’s Integrated Development Program

In the years 2018-2022, the main purpose of the University’s Integrated Development Program (hereinafter: ZIP) is to develop the competences of students, PhD students and employees, as well as to create tools improving university management. Funding of the ZIP program is over PLN 38 million.

The improvement of the QPE program is still supported by the ZIP program and co-funded by the European Social Fund within PO WER, Action 3.5.

More information about projects for PhD students from the University of Warsaw within the ZIP program can be found at:


The four-year doctoral program "Quantitative Psychology and Economics" (QPE), will enable students to pursue cutting-edge research in a growing and exciting interdisciplinary field. The program is mostly intended to prepare for careers in the academia and research units in the corporate world, including financial sector and the digital economy. The graduates will be ready to conduct both basic and applied research using new data and big data, such as those from the social media and Customer Relationship Management.

Students with solid background in psychology, economics, neuroscience, computer science, or related fields and possessing strong analytical skills, as well as appetite for behavioural research are encouraged to apply.

The program is highly interdisciplinary, located at the Interdisciplinary Doctoral School, creating opportunities to take courses and work with students and faculty – based at the University of Warsaw and visiting professors – representing different fields. Our PhD students take graduate-level courses in microeconomics, cognitive psychology, statistics and econometrics, machine learning and data science and more. They can also make use of the large number of master-level courses taught at the University. In the process, they are given the theoretical and methodological foundation, as well as modern tools of data analysis, to conduct their own original research, under supervision of leading scholars representing both psychology and economics.

The program is a collaborative project of three leading Faculties of the University of Warsaw, all of which have the highest academic category A+ and are routinely ranked as the best in the country: the Faculty of Economic Sciences, the Faculty of Psychology, and the Faculty of Mathematics, Informatics and Mechanics. The program builds upon he the success of several English-language masters’ programs, such as those in data science and quantitative finance.

The official inauguration of the QPE program took place on October 7, 2019. The inaugural lecture was given by  prof. Gary Charness from the University of California, Santa Barbara. With the support from by the University’s Integrated Development Program and co-funding from the European Social Fund within PO WER, Action 3.5 it was possible to implement the QPE program in the education offer of Doctoral Schools at the University of Warsaw (for more details click here).

 Doctoral Program Overview

  • Duration: 4 academic years (8 semesters)
  • Start date: October 1, 2020
  • Schedule: Full-Time Study
  • Language: English
  • Successful completion of a dissertation: doctorate (PhD) in social science


This unique program will provide students with an unmatched foundation to start an excellent career in research. The degree will open doors in both the academic and corporate worlds.

prof. dr. Arthur Schram, University of Amsterdam;
director of the Center for Research in Experimental Economics and Political Decision Making (2011-2015),
founding co-editor of Experimental Economics (1998-2007).

This doctoral program at the intersection of economics and psychology is a timely and promising venture. I am certain that it will lead to exciting scientific results and findings of high practical relevance.

prof. dr. Dorothea Kübler, director of the Department of Market Behavior at the WZB.

I hold this program in high regard. It fills a gap in interdisciplinary research (...) The graduates will be able to find employment both in the academia and research units of corporations, which are increasingly seeking for such specialists.

prof. dr. Honorata Sosnowska, head of the Department of Mathematics and Mathematical Economics,
Warsaw School of Economics (SGH).