DATE AND TIME
19-20 July 2025
FORMAT
offline, Kyiv
10, Dobrovolchykh Batalioniv St.
SPEAKER
Oleksiy Ignatenko
COST
15000 UAH
Imagine that you are buying or selling used cars, but you don’t know if they are all of high quality or if there are lemons among them – cars with hidden defects. There is also asymmetric information – sellers have more knowledge about their cars, while buyers cannot inspect everything at once. Because of this asymmetry, the market can break down: quality cars will not be bought because buyers are afraid of risk, and as a result, quality sellers disappear from the market. This is a classic example by George Akerlof, a Nobel Prize winner in Economics (2001), who explains why it is essential to understand how to work with incomplete information.
In business, it is often necessary to develop mechanisms that encourage participants to act honestly and efficiently. For example, auctions, where each participant bids but pays the second-highest bid instead of their own, are a way to encourage honest bidding. Knowing such mechanisms helps to create a transparent and competitive environment that increases market efficiency.
You can create your signals that will be beneficial for you.
Understanding Bayes-Nash games and signals gives you a competitive advantage in a world where information is a key resource. You will learn not only to better understand the behaviour of other market participants, but also to manage your own communications and strategies to minimise risks and maximise benefits.
If you want to increase the effectiveness of negotiations, improve product positioning, or create transparent mechanisms of interaction, this course is for you!
Oleksiy Ihnatenko

Oleksiy Ihnatenko
Doctor of Physical and Mathematical Sciences, Senior Research Fellow, Professor at the Faculty of Applied Sciences of UCU, Lecturer at the Faculty of Informatics of the Kyiv-Mohyla Academy.
Teaches courses: Machine Learning, Natural Language Processing Methods, Systems Analysis, Game Theory.
For the last 20 years, he has been researching in the field of game theory and multi-agent systems. He is one of the organisers of the UNLP conference dedicated to the development of methods for processing natural Ukrainian language. Organiser of Lviv Data Science Summer School 2023, 2024.
Understand the essence of games with incomplete information
– Identify situations of information asymmetry in business, negotiations and public policy.
Learn how to build and interpret signals
– create unique signals that emphasise your strategic advantage.
Master the principles of Bayes-Nash games
– know how to assess the behaviour of other players under conditions of uncertainty and incomplete information.
You will be able to analyse and design auctions and other market mechanisms
– Understand how to create tools that encourage transparent and fair behaviour.
Improve your strategic thinking in the face of uncertainty
– Learn to anticipate risks, manipulations and ulterior motives of other parties.
Identify and avoid the pitfalls of asymmetric information
– for example, in cooperation, procurement, investment or partner engagement.
Understand how information shapes behaviour in markets
– including trust, reputation, pricing and competition.
Gain a competitive advantage in strategic communications
– better position yourself, your product or your organisation in an environment with a lack of trust.
10, Dobrovolchykh batalyoniv Str., Kyiv
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