Professor Ganna Pogrebna

Professor Ganna Pogrebna

The Department of Economics
Professor of Behavioural Economics and Data Science

Contact details

Telephone
+44 (0)121 415 1892
Email
g.pogrebna@bham.ac.uk
View my research portal
Address
Department of Economics
University of Birmingham
Room 217, JG Smith Building
Birmingham
B15 2TT

Ganna is a Professor of Behavioural Economics and Data Science at the University of Birmingham, Fellow at the Alan Turing Institute, and Honorary Fellow at the Warwick Manufacturing Group (WMG). Blending behavioral science, computer science, data analytics, engineering, and business model innovation, Ganna helps cities, businesses, charities, and individuals to better understand why they make decisions they make and how they can optimize their behavior to achieve higher profit, better social outcomes, as well as flourish and bolster their well-being. She is interested in analysing individual and group decision-making under risk and uncertainty (ambiguity) using laboratory experiments, field experiments and non-experimental data (specifically Big Data). She studies how decision-makers reveal their preferences, learn, co-ordinate and make trade-offs in static and dynamic environments. 

Her work aims to develop quantitative models capable of describing and predicting individual and group behaviour. Ganna contributes her expertise as a behavioural scientist/decision theorist to the projects and activities of Birmingham Business School (University of Birmingham), Warwick Manufacturing Group (University of Warwick) as well as collaborates with the Alan Turing Institute on a number of projects. Her recent projects focus on smart technological and social systems, cybersecurity, human-computer interactions (HCI), human-data interactions (HDI), and business models.

Qualifications

  • PhD in Social and Economic Sciences
  • MA in International Economic Relations
  • BA in International Economic Relations

Member of the Higher Education Academy (HEA):

  • Postgraduate Certificate in Academic and Professional Practice (ref. PR080013) University of Warwick, UK since 12/2014
  •  Lean Six Sigma Black Belt Training Certification since 01/2016
  • Lean Six Sigma Green Belt Certification since 02/2015

Biography

Ganna studied Economics at the University of Missouri Kansas City (US) and the University of Innsbruck (Austria). Ganna holds a Ph.D. in Economics and Social Sciences. Before coming to Birmingham, she worked as a postdoctoral research fellow Columbia University in New York (USA), the University of Bonn (Germany), Humboldt-Universität zu Berlin (Germany), the University of Innsbruck (Austria), and the Department of Economics at the University of Warwick (UK). Ganna also held positions of the Leverhulme Research Fellow, Research Assistant Professor, and Research Senior Lecturer in the Department of Economics at the University of Sheffield and worked as an Associate Professor of Decision Science and Service Systems at WMG (University of Warwick). In November 2017 she was awarded ESRC-Turing Fellowship by the Economic and Social Research Council (ESRC) and the Alan Turing Institute (Turing).

Research

Research interests

Behavioural science, Data Science, Machine Learning

Current projects

04/2018 – 12/2021 “Stay Happy: Understanding Urban Wellbeing Using a Behavioural Machine Learning Approach” ESRC-Alan Turing Institute Fellowship, £561,000.00

10/2017 – present “Measuring Worldwide Cybersecurity Risk and Vulnerability Attitudes” funded by University of Birmingham, with Glenn Parry and Alexander Kharlamov (University of the West of England)

10/2017 – present “Expert Leadership: A Large-Scale Study” funded by University of Birmingham Innovations Fund, with Stefana Serban (University of Warwick), £3,000

12/2016 – present “Addressing Cybersecurity and Cybercrime via a co-Evolutionary aPproach to reducing human-related risks” EPSRC grant, with Shujun Li (University of Kent), £1,087,970.81

03/2016 - present “Control and Trust as Moderating Mechanisms in addressing Vulnerability for the Design of Business and Economic Models (ConTriVE)” EPSRC grant, with Irene Ng (University of Warwick), £1,005,830.27

Other activities

Research Grant Advisor

Publications

Pogrebna, G., Oswald, A., and D. Haig (2018) “Female Babies and Risk-aversion: Causal Evidence from Hospital Wards”, Journal of Health Economics, forthcoming

Li, Zh., Loomes, G. & G. Pogrebna (2017) Attitudes to Uncertainty in a Strategic Setting. Economic Journal, 127(601), pp. 809-826

Loomes, G. & Pogrebna, G. (2017). Do Preference Reversals Disappear When We Allow for Probabilistic Choice? Management Science, 63(1), pp. 166-184

Goodall, A. & Pogrebna, G. (2015). Expert Leaders in a Fast-Moving Environment. Leadership Quarterly, 26 (2), pp. 123-142. 

Ng, I., Scharf, K., Pogrebna, G. & Maull, R. (2015). Contextual Variety, Internet-of-Things and the choice of Tailoring over Platform: Mass Customisation Strategy in Supply Chain Management. International Journal of Production Economics, 159, pp. 76-87. 

Loomes, G. & Pogrebna, G. (2014). Testing for Independence while Allowing for Probabilistic Choice. Journal of Risk and Uncertainty, 49(3), pp. 189-211. 

Loomes, G. & Pogrebna, G. (2014). Measuring Individual Risk Attitudes when Preferences Are Imprecise. Economic Journal, 124(576), 569–593. 

Kocher, M., Pogrebna, G. & Sutter, M. (2013). Other-regarding Preferences and Management Styles. Journal of Economic Behavior and Organization, 88, 109-132. 

Pogrebna, G., Krantz, D., Schade, C. & Keser, C. (2011). Words versus Actions as a Means to Influence Cooperation in Social Dilemma Situations. Theory and Decision, 71(4), 473-502. 

Blavatskyy, P. & Pogrebna, G. (2010). Reevaluating Evidence on Myopic Loss Aversion: Aggregate Patterns versus Individual Choices. Theory and Decision, 68(1-2), 159-171. 

Blavatskyy, P. & Pogrebna, G. (2010). Endowment Effects? “Even” with Half-a-Million on the Table! Theory and Decision, 68(1-2), 173-192. 

Blavatskyy, P. & Pogrebna, G. (2010). Models of Stochastic Choice and Decision Theories: Why Both Are Important for Analyzing Decisions. Journal of Applied Econometrics, 25(6), 963-986. 

Pogrebna, G. & Blavatskyy, P. (2009). Coordination, Focal Points and Voting in Strategic Situations: A Natural Experiment. Public Choice, 140(1-2), 125-143. 

Blavatskyy, P. & Pogrebna, G. (2009). Myopic Loss Aversion Revisited. Economics Letters, 104(1), 43-45. 

Blavatskyy, P. & Pogrebna, G. (2008). Risk Aversion When Gains Are Likely and Unlikely: Evidence from a Natural Experiment with Large Stakes. Theory and Decision, 64(2), 395-420. 

Pogrebna, G. (2008). Naive Advice When Half a Million is at Stake. Economics Letters, 98(2), 148-154. 

Science and Engineering

Guo, W., Del Vecchio, M., and G. Pogrebna (2017) Global Network Centrality of University Rankings, Royal Society Open Science, published on October 4, 2017 

Guo, W., Gupta, N., Pogrebna, G., and Jarvis, S. A. (2016) Understanding Happiness in Cities using Twitter: Jobs, Children, and Transport, Proceedings of the IEEE International Smart Cities Conference, London, UK, 29-30 November, 2016 

Al Shami, A., Guo, W., & Pogrebna, G. (2016) Fuzzy Partition Technique for Clustering Big Urban Dataset, Proceedings of the IEEE Technically Sponsored SAI Computing Conference, London, UK, 13-15 July, 2016 

Al Shami, A., Guo, W., & Pogrebna, G. (2015) Clustering Big Urban Data Sets, Proceedings of the IEEE International Smart Cities Conference, Guadalajara, Mexico, Mexico, 25-28 Oct 2015 

Pogrebna, G. (2015) Servitization through Human-data Interaction: a Behavioural Approach, Proceedings of the Spring Servitization Conference, Birmingham, UK, 18-19 May 2015 

Impact

Parry, G., Pogrebna, G. and Vendrell-Herrero, F. (2017) Windowing television content: Lessons for digital business models. Strategic Change: Briefings in Entrepreneurial Finance, forthcoming.

View all publications in research portal