Arkady Konovalov
I am an Associate Professor in the School of Psychology at the University of Birmingham.
My research focuses on neuroeconomics and decision making in general, including models of the choice process, value-based learning, and social and strategic interactions, using methods of computational neuroscience such as response times modeling, fMRI, EEG, eye-tracking, and mouse-tracking.
I received my PhD from the Ohio State University, where I worked with Ian Krajbich, PJ Healy, and John Kagel; I then got my postdoctoral training with Christian Ruff at the University of Zurich.
Email: a.konovalov (at) bham.ac.uk
Refereed publications
Bergmann, U., & Konovalov, A. (2024). Auction Design and Order of Sale with Budget-Constrained Bidders. Experimental Economics, 27, 36-57. [html] [pdf] [data&code]
Konovalov, A., & Krajbich, I. (2023). Decision Times Reveal Private Information in Strategic Settings: Evidence from Bargaining Experiments. The Economic Journal, 133(656), 3007-3033. [html] [data&code] [press release]
Hu, J., Konovalov, A., & Ruff, C.C. (2023). A Unified Neural Account of Contextual and Individual Differences in Altruism. eLife 12:e80667. [html] [pdf] [data&code]
Konovalov, A., & Ruff, C.C. (2022). Enhancing Models of Social and Strategic Decision Making with Process Tracing and Neural Data. WIREs Cognitive Science, 13:e1559. [html] [pdf]
Konovalov, A.*, Hill, C.*, Daunizeau, J., & Ruff, C.C. (2021). Dissecting Functional Contributions of the Social Brain to Strategic Behavior. Neuron, 109, 3323–333. [html] [pdf] [data&code]
Konovalov, A., & Krajbich, I. (2020). Mouse Tracking Reveals Structure Knowledge in the Absence of Model-Based Choice. Nature Communications, 11. [html] [pdf] [data&code]
Konovalov, A., & Krajbich, I. (2019). Revealed Strength of Preference: Inference from Response Times. Judgement and Decision Making, 14(4), 381-394. [html] [pdf] [data]
Konovalov, A., & Krajbich, I. (2019). Over a Decade of Neuroeconomics: What Have We Learned?Organizational Research Methods, 22(1), 148-173. [html] [pdf]
Konovalov, A., & Krajbich, I. (2018). Neurocomputational Dynamics of Sequence Learning. Neuron, 98(6), 1282-1293. [html] [pdf]
Konovalov, A.*, Hu, J.*, & Ruff, C.C.* (2018). Neurocomputational Approaches to Social Behavior. Current Opinion in Psychology, 24, 41-47. [html]
Konovalov, A., & Krajbich, I. (2016). Gaze Data Reveal Distinct Choice Processes Underlying Model-Based and Model-Free Reinforcement Learning. Nature Communications, 7. [html] [pdf]
Non-refereed publications
Konovalov, A., & Krajbich, I. (2017). Money in the Bank: Distortive Effects of Accumulated Earnings on Risky Choice. Neuron, 93(3). [html] [pdf] (preview of Juechems et al. 2017)
Working papers
Konovalov, A., Hu, J., & Ruff, C.C. (2023). Neural Dynamics Underlying Strategic Social Decisions. [contact me]
Lugrin, C., Konovalov, A., & Ruff, C.C. (2022). Salience-based information integration: An overarching function of the “social brain”? (submitted) [html]
Lugrin, C.*, Konovalov, A.*, & Ruff, C.C. (2023). Facilitating Cooperation by Manipulating Attention. (submitted) [html]
Konovalov, A. (2023). Ten Tips for Running Behavioral Experiments Using Human Participants. (submitted) [pdf]
Bavard, S., Stuchlý, E., Konovalov, A., & Gluth, S. (2023). Beyond Choices: Humans Can Infer Social Preferences from Response Times Alone. (revise & resubmit) [pdf]
Buergi, N.*, Aydogan, G.*, Konovalov, A., & Ruff, C.C. (2024). A Neural Fingerprint of Adaptive Mentalization. (submitted) [pdf]
Buergi, N., Konovalov, A., Biegel, C., Villar de Araujo, T., Aydogan, G., & Ruff, C.C. (2024). Neurocomputational signatures of altered adaptive mentalization in autism. (submitted).
Research in progress
The Role of Risk, Social Preferences, and Beliefs in Cooperation (with Claire Lugrin and Christian Ruff).
* Equal contribution.