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:
System for multimodal recognition of emotions and cognitive load
The system collects data on the activity of the central and peripheral nervous system of a person (through dry electroencephalography and galvanic skin response sensors), and also records audio and video recordings of the subjects during the experiment. Signals from 8 subjects can be recorded separately at the same time.
What it is used for: the system is the basic “recording machine” of the Laboratory for research and development.
What is recorded: the system uses collected data to recognize the emotions expressed and experienced by the subjects (according to EEG, GSR, facial expressions recognized in the video signal, timbre and content of speech recognized in the audio signal), and the cognitive load experienced by them (according to EEG, GSR and facial expressions), while data in various modalities are used for cross-validation, which increases the reliability of recognition. In addition, based on the data obtained, the complex builds digital constructs of a higher level (graphs of emotional infection, topic models, argumentative fields and ontological maps) depending on the context of the task.
Group decision making training
Training of dyadic conflict negotiations
Shared leadership simulator
Simulator of Entrepreneurship in the Dynamics of Disruptive Innovation
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.