The Laboratory of Neurosciences in Management

Purpose and subject area of the Laboratory

The Laboratory of Neurosciences in Management explores the human as an actor in the context of organizations and markets by conducting laboratory, field and digital experiments, and applying methods of cognitive, neuro- and computer sciences to collect, process and model data.

The goal of the Laboratory is to produce scientific knowledge in its subject area, distribute it through high-quality international peer-reviewed journals, integrate it into the educational process of the IBDA RANEPA, as well as commercialize by licensing patented technologies and organizing innovative enterprises (startups) in the field of neuromarketing, people analytics, organizational consulting and education.

Research topics of the Laboratory

The main areas of research conducted by the Laboratory:

  • Entrepreneurship, innovation and creativity
  • Leadership and Small Group Dynamics
  • Employee engagement and well-being
  • Negotiations and conflicts in an organizational context
  • Users and consumers
  • Transfer of knowledge and social norms in organizations
  • Dynamics of organized markets

In addition to conducting experiments, the Laboratory is developing its own research tools (for example, emotion recognition and risk profiling algorithms, stimulus material for experiments, etc.)


Our results to date include:




About Head


Alexander Didenko is the Head of the Laboratory of Neurosciences in Management in the Institute of Business Studies RANEPA. In his past career he created algorithms for trading in financial markets, was banking and education executive. Later he co-founded several startups, in which he contributed his skills and knowledge in marketing and data science. In 2003 he acquired PhD degree from Plekhanov Russian University of Economics. His dissertation was at the interception of behavioral economics and data science. As researcher he initially was interested in quantitative and psychological aspects of decision-making under uncertainty/risk, and studies, applying principles and models of complexity science to the field of financial economics. Later his interests extended and now include institutional economics, innovation and business studies, and neuroscientific aspects of economics and management. In addition to leading the Laboratory, he is responsible for the scientific leadership of the ML team of the _Self Digital Solutions Bureau, where he develops investable art pricing algorithms for the marketplace created by the _Self team.

E-mail: didenko-as@ranepa.ru; me@drdphd.ru


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