Мячин Алексей Леонидович

Education and Degrees

2017

Candidate of Sciences* (PhD)
HSE University

2013

Degree
Moscow University of Humanities

2012

Degree
National Institute of Business

2012

Degree
Moscow University of Humanities

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Professional Interests

microeconomics macroeconomics Statistical data analysis computer simulation

Awards and Accomplishments

Best Teacher — 2014–2024
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "Future Professoriate" (2020–2021)
Category "New Researchers" (2014)

Courses (2024/2025)

Analysis of Heterogeneous Data and Data Pattern Analysis (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
Analysis of Heterogeneous Data and Data Pattern Analysis (Mago-Lego; 3, 4 module)Rus
Decision Making by Public Administration under Risk and Uncertainty (Bachelor’s programme; Faculty of Social Sciences; 4 year, 1 module)Rus
Decision Making under Risk and Uncertainty (Bachelor’s programme; Faculty of Social Sciences; 4 year, 1 module)Rus
Discrete Mathematics (Bachelor’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus
Mathematics for Political Decisions Making (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1 module)Rus
Methods of Decision-Making (Bachelor’s programme; Faculty of Social Sciences field of study Applied Mathematics and Information Science, field of study Applied Mathematics and Information Science, field of study Public Administration; 3 year, 1, 2 module)Eng
Public Management Decision-making (Master’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
Public Management Decision-making (Mago-Lego; 3, 4 module)Rus
Past Courses

Timetable for today

Full timetable

Conferences

2024
The Eleventh International Conference on Information Technology and Quantitative Management (Бухарест). Presentation: Pattern Analysis Based on Interval Estimates: Ordinal-Interval Pattern Clustering
XIV ВСЕРОССИЙСКОЕ СОВЕЩАНИЕ ПО ПРОБЛЕМАМ УПРАВЛЕНИЯ (ВСПУ-2024) (Москва). Presentation: Методы анализа паттернов, основанные на интервальных оценках
V Северный форм по устойчивому развитию (Якутск). Presentation: Выявление острых региональных проблем Республики Саха (Якутия) на основе методов машинного обучения

2023
XXIV Ясинская (Апрельская) международная конференция по проблемам развития экономики и общества (Москва). Presentation: Совместное использование методов анализа латентных классов и анализа паттернов при поиске закономерностей в неоднородных данных

2022
XXIII Ясинская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Снижение размерности данных при использовании методов анализа паттернов
2022 9th International Conference on Computers Communications and Control (ICCCC) (Орадя). Presentation: Short-Term Covid-19 Incidence Prediction in Countries Using Clustering and Regression Analysis
Computing Conference 2022 (SAI) (Лондон). Presentation: Finding Structurally Similar Objects Based on Data Sorting Methods

2020
8th International Conference on Computers Communications and Control (ICCCC) (Орадя). Presentation: The Study of Trajectories of the Development of State Capacity Using Ordinal-Invariant Pattern Clustering and Hierarchical Cluster Analysis,

2019
XX Апрельская международная конференция по проблемам развития экономики и общества (Москва). Presentation: Анализ государственной состоятельности с использованием методов кластерного анализа и анализа паттернов
Industrial Conference on Data Mining (ICDM2019) (New York). Presentation: A Symmetry of the Data Pattern Structure
Двенадцатая международная конференция «Управление развитием крупномасштабных систем» (MLSD’2019) (Москва). Presentation: Паттерны данных в системе параллельных координат
Двенадцатая международная конференция «Управление развитием крупномасштабных систем» (MLSD’2019) (Москва). Presentation: Паттерны данных в системе параллельных координат
XII Конвент Российской ассоциации международных исследований (Москва). Presentation: Анализ паттернов и кластеризация в исследовании государственной состоятельности

2018
XIX Апрельская международная научная конференция по проблемам развития экономики и общества (Москва). Presentation: Метод анализа паттернов, основанный на парном сравнении показателей (основные свойства)
Вторая всероссийская междисциплинарная конференция «СОЦИОФИЗИКА И СОЦИОИНЖЕНЕРИЯ» (Москва). Presentation: Оценка неоднородности систем с использованием методов анализа паттернов
International Workshop "State Capacity, Power and Influence in World Politics: Concepts and Measurements" (Москва). Presentation: Pattern Analysis of the Power of States
29th European Conference on Operational Research EURO2018 (Valencia). Presentation: Pattern analysis methods based on sorting algorithms
IX Московская международная конференция по Исследованию Операций (ORM-2018 Germeyer-100) (Москва). Presentation: Построение индексов оценки неоднородности систем

2017
Десятая международная конференция «Управление развитием крупномасштабных систем» (MLSD’2017) (Москва). Presentation: Использование методов анализа паттернов в задаче оценки инновационного развития
Годовая конференция Новой Экономической Ассоциации "Политические системы и экономическое развитие: проблемы взаимосвязи" (Москва). Presentation: Стратификация сообщества экономистов и институты финансирования науки

2016
IEEE - ICCCC2016 6th International Conference on Computers Communications and Control (Oradea). Presentation: New methods оf pattern analysis in the study of Iris Anderson-Fisher Data
28th European Conference on Operational Research EURO2016 (Poznan). Presentation: Heterogeneity of Innovative Activity
XIII Всероссийская школа-конференция молодых ученых «Управление большими системами» (Самара). Presentation: Новые методы анализа паттернов на примере набора данных "Balance Scale Data Set"
VIII МОСКОВСКАЯ МЕЖДУНАРОДНАЯ КОНФЕРЕНЦИЯ ПО ИССЛЕДОВАНИЮ ОПЕРАЦИЙ (ORM2016) (Москва). Presentation: Порядково-инвариантная паттерн-кластеризация: свойства и сравнение с известными методами кластерного анализа
VIII МОСКОВСКАЯ МЕЖДУНАРОДНАЯ КОНФЕРЕНЦИЯ ПО ИССЛЕДОВАНИЮ ОПЕРАЦИЙ (ORM2016) (Москва). Presentation: Порядково-инвариантная паттерн-кластеризация: свойства и сравнение с известными методами кластерного анализа

2014
5-th International Conference on Computers Communications and Control (Орадя). Presentation: New high-precision efficient models of pattern analysis
The Second International Conference on Information Technology and Quantitative Management (ITQM 2014) (Москва). Presentation: Analysis of global data education and patent activity using new methods of pattern analysis
Optimization, Control and Applications in the Information Age (Chalkidiki, Central Makedonia). Presentation: Pattern Analysis and Its Application to Electoral Data in Russia
20-th Conference of the International Rederation of Operational Research Societies (Барселона). Presentation: Method of pattern analysis: new algorithms
Математическое моделирование развивающейся экономики, экологии и технологий (ЭКОМОД-2014) (Москва). Presentation: Применение новых методов анализа паттернов при исследовании экономических показателей РФ

2013
Второй Российский экономический конгресс (Суздаль Владимирской обл.). Presentation: Анализ данных науки, образования и инновационной деятельности с использованием методов анализа паттернов
26th European conference on operational research (Рим). Presentation: Pattern analysis in the study of science, education and innovation activity in Russian regions
VII Московская международная конференция по исследованию операций (ORM2013) (Москва). Presentation: Анализ данных образования и патентной активности с использованием методов анализа паттернов
XIV Международная научная конференция “Модернизация России: ключевые проблемы и решения”. (Москва). Presentation: Анализ данных науки, образования и инновационной деятельности с использованием методов анализа паттернов

Employment history

2017-present – Associate Professor, Department of Mathematics of Faculty of Economic Science, National Research University Higher School of Economics

2017-present – Senior Research Fellow, International Laboratory of Decision Choice and Analysis, National Research University Higher School of Economics

2017-present – Senior Research Fellow, Laboratory of Theory of Choice and Decision Analysis, Institute of Control Science of Russian Academy of Science

2016-2017 – Junior Research Fellow, International Laboratory of Decision Choice and Analysis, National Research University Higher School of Economics

2013-2017 – Lecturer, Department of Mathematics of Faculty of Economic Science, National Research University Higher School of Economics

2013-2017 - Junior Research Fellow, Laboratory of Theory of Choice and Decision Analysis, Institute of Control Science of Russian Academy of Science

2013-2016 – Research Assistant, International Laboratory of Decision Choice and Analysis, National Research University Higher School of Economics

29

Nov

2023

Autumn School “Advances in Decision Analysis” was held.

On November 27 to 29, the HSE was held the Autumn School "Successes of decision analysis" with the participation of leading foreign specialists (Yong Shi, Michel Grabish, Ahmet Alkan, Bhavook Bhardwaj, Siddharth Chatterjee, Manfred J. Holler, K. Markström)

7

Oct

2020

How Following the Law Helps to Fight the COVID 19 Pandemic

Mathematicians of the Higher School of Economics have calculated the effectiveness of measures taken to fight the coronavirus epidemic in different countries. They have concluded that the scale of anti-epidemic measures does not necessarily directly affect the disease rate, suggesting that one of the main reasons for this is the willingness of citizens to clearly, honestly and consistently comply with anti-epidemic measures.

15

Nov

2019

Autumn School "The modern methods and models of the individual and collective choice and decision-making theory with application to network data analysis, aggregation problems, influence indices" was held at DeCAn lab

On November 12-15, the Autumn school on modern methods and models of the individual and collective choice and decision-making theory with application to network data analysis, aggregation problems, influence indices was opened. The event is organized by the International Laboratory of Decision Choice and Analysis (DeCAn lab). Among the invited lecturers there are outstanding academics and researchers: Hans Peters (Maastricht University, Netherlands), Kanak Patel (Cambridge University, UK), Laszlo Koczy (Centre for Economic and Regional Studies, Hungary), Anna Khmelnitskaya (St Petersburg University, Russia), Peter Emerson (de Borda Institute, UK).

Alexey L. Myachin