The document outlines the organization and proceedings of the EEML workshop on experimental economics and machine learning, held in Moscow in 2016. It discusses the shift from traditional empirical approaches to data-driven models and highlights collaborations between computer scientists and economists. The content includes various contributions, notable figures' thoughts on machine learning in economics, and references to related works and previous workshops.

1. Опыт организации международного семинара
Experimental Economics and Machine Learning
Игнатов Дмитрий Игоревич
Национальный исследовательский университет Высшая школа экономики
Факультет компьютерных наук
Департамент анализа данных и искусственного интеллекта &
МНУЛ ИССА
2016
Игнатов Д.И. (EEML) 2016 1 / 15

2. План
1 О чем поговорить?
2 EEML workshop
Игнатов Д.И. (EEML) 2016 2 / 15

3. План
1 О чем поговорить?
2 EEML workshop
Игнатов Д.И. (EEML) 2016 3 / 15

4. О чем стоит поговорить?
EEML workshop
Вводный курс: Data Mining & Machine Learning
Игнатов Д.И. (EEML) 2016 4 / 15

5. План
1 О чем поговорить?
2 EEML workshop
Игнатов Д.И. (EEML) 2016 5 / 15

6. Мотивация в 2008 году
Эмпирический подход
Подход от модели к данным хорош, но... наш подход – от данных к моделям
и гипотезам.
Единомышленники?
Наиболее близки к этому взгляду поведеченская и экспериментальная
экономики.
Методология
Набор используемых методов весьма ограничен: теория игр и эконометрика
(в основном линейные модели для небольших данных).
Игнатов Д.И. (EEML) 2016 6 / 15

7. Единомышленники
Zurich Toolbox for Readymade Economic Experiments
Игнатов Д.И. (EEML) 2016 7 / 15

8. Predictably irrational by 2008 Dan Ariely
Predictably Irrational: The Hidden Forces That Shape Our Decisions
My goal, by the end of this book, is to help you fundamentally rethink what makes
you and the people around you tick. I hope to lead you there by presenting a wide
range of scientific experiments, findings, and anecdotes that are in many cases
quite amusing. Once you see how systematic certain mistakes are – how we repeat
them again and again – I think you will begin to learn how to avoid some of them.
ссылка
Игнатов Д.И. (EEML) 2016 8 / 15

9. Hal Varian’s thoughs on ML&DM
The paper by Hal R. Varian: Big Data: New Tricks for Econometrics
I believe that these methods have a lot to offer and should be more widely known
and used by economists. In fact, my standard advice to graduate students these
days is “go to the computer science department and take a class in machine
learning.” There have been very fruitful collaborations between computer scientists
and statisticians in the last decade or so, and I expect collaborations between
computer scientists and econometricians will also be productive in the future.
Ссылка
Игнатов Д.И. (EEML) 2016 9 / 15

10. Susan Athey’s views
The Computer Science and Engineering Distinguished Lecture
Machine Learning Meets Economics: Using Theory, Data, and Experiments to
Design Markets
Ссылка
Игнатов Д.И. (EEML) 2016 10 / 15

11. EEML workshop series: http://eeml.hse.ru
EEML 2012: Leuven, Belgium, May 9.
Edited by: Rustam Tagiew, Dmitry I. Ignatov, Alexey A. Neznanov, Jonas
Poelmans
труды в CEUR-ws
EEML 2013: Dallas, TX, USA, in conjuction with IEEE ICDM 2013
R. Tagiew, D.I. Ignatov, and Fadi Amroush
Proceedings at IEEE Xplore (Preface)
EEML 2014 Nancy, France, in conjuction with ECML PKDD 2014
Chairs: R. Tagiew, D.I. Ignatov, Boris Gutkin, and Fadi Amroush
News 1
News 2
EEML 2016, Moscow, Russia, July 18. Edited by: R. Tagiew, D.I. Ignatov,
Andreas Hilbert, Radhakrishnan Delhibabu
труды в CEUR-ws
Игнатов Д.И. (EEML) 2016 11 / 15

12. Do and re-do
Original paper: Social learning in networks: a Quantal Response Equilibrium
analysis of experimental. Review of Economic Design, 2012, 16, pp 135–157
Our paper: Social Learning in Networks: Extraction Deterministic Rules
(slides)
paper
Hospitality networks:
The Economy of Internet-Based Hospitality Exchange
Bewelcome.org – a non-profit democratic hospex service set up for growth
Hospitality Exchange Services as a Source of Spatial and Social Data?
Economics of Internet-Based Hospitality Exchange
Gift-exchange (games):
Gift Ratios in Laboratory Experiments
Reciprocity in Gift-Exchange-Games
Игнатов Д.И. (EEML) 2016 12 / 15

13. Our profiles at DBLP
R. Tagiew
D.I. Ignatov
Игнатов Д.И. (EEML) 2016 13 / 15

14. Just for fun или шутки ради
http://dilbert.com
Игнатов Д.И. (EEML) 2016 14 / 15

15. Вопросы и контакты
www.hse.ru/staff/dima
Спасибо!
rtagiew[at]gmail.com & dmitrii.ignatov[at]gmail.com
Игнатов Д.И. (EEML) 2016 15 / 15