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Regular version of the site
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Address: Perm, 37 Gagarina Bulvar, room 206
ORCID: 0000-0001-7589-6321
ResearcherID: GWM-5705-2022
Google Scholar
E. Shakina
P. Parshakov
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Daria Semenova

  • Daria Semenova has been at HSE University since 2017.



Bachelor's in Economics
HSE University

Continuing education / Professional retraining / Internships / Study abroad experience

Basics of Writing an Empirical Research Article in English (40 hours), Moscow, Russia, 2022

The Neuromarketing Toolbox (19 hours), an online course on the Coursera platform from the University of Copenhagen Business School, 2022

Text data analysis in R and Python (82 hours), Perm, Russia, 2021

Global School on Empirical Research Methods (Course "Econometrics of Big Data"), Ljubljana, Slovenia, 2019

Econometrics, online course by B. Demeshev on the Coursera platform from the University Higher School of Economics, 2019

Advanced training courses Empowering your Academic Writing in English: Academic Writing vs General Writing (24 hours), Moscow, Russia, 2018

3d Winter School on Data Analytics, Nizhny Novgorod, Russia, 2018

Winter School of Economics of Sberbank and the Higher School of Economics, Moscow, Russia, 2018

World Championship in Econometrics Econometric Game 2018, Amsterdam, Netherlands, 2018

Advanced training courses "Academic communication in a foreign language environment (in the amount of 38 hours)", Perm, Russia, 2017

Summer Hackathon School on Customer Analytics (Customer Analytics Summer School), HSE-Perm, Perm, Russia, 2017

Awards and Accomplishments

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2022)
Category "New Researchers" (2019)

Postgraduate Studies

2nd year of study
Approved topic of thesis: Willingness to pay in the food market: development of attributive and neuroeconomic approaches
Academic Supervisor: Molodchik, Mariya

Courses (2022/2023)

  • Econometrics (Bachelor’s programme; Faculty of Management; 3 year, 1-4 module)Rus
  • Econometrics (Bachelor’s programme; Faculty of Management; 3 year, 4 module)Rus
  • Industrial Organization Theory (Bachelor’s programme; Faculty of Management; 3 year, 1, 2 module)Eng
  • Past Courses

Courses (2019/2020)

Econometrics (Bachelor’s programme; Faculty of Economics, Management, and Business Informatics; 3 year, 1-4 module)Rus



  • 2022
    IX научная конференция «Соседи по науке» (Neighbors in Research) (Москва). Presentation: Оценка готовности платить: нейроэкономический подход
  • 2019
  • Соседи по науке (Пермь). Presentation: Сравнение методов оценки индивидуального эффекта от воздействия
  • Fifth International Workshop on Experimental Economics and Machine Learning (EEML 2019) (Пермь). Presentation: The Comparison of Methods for Individual treatment Effect Detection
  • 2018
    The Fourth International Conference on Machine Learning, Optimization, and Data Science (Вольтерра). Presentation: Methods of Machine Learning for Censored Demand Prediction
  • International Conference on Applied Research in Economics (Пермь). Presentation: Methods of Machine Learning for Censored Demand Prediction
  • 2017
    Городская студенческая конференция "Математика в экономике" (Пермь). Presentation: Demand Estimation for Children Summer Camp

Timetable for today

Full timetable

Series of workshops as part of the student seminar "Cooking up your first research"

At the end of December, researchers from the International Laboratory for the Economics of Intangible Assets held a series of workshops on academic writing “What-you-need-to know to write a Research Paper” for students, graduate students, research assistant and just everyone. Master classes were organized as part of the student seminar "Cooking up your first research".

IDLab Workshop

Daria Semenova, PhD student at the National Research University Higher School of Economics-Perm and IDLab employee, presented the study "Measuring effects of packaging on willingness-to-pay for chocolate: evidence from EEG experiment"

IDLab study image analysis with PyTorch

On June 20, 2022, the advanced training course "Python Programming for Image Analysis" began. As part of the course, IDLab members will learn machine learning methods that can be used for image analysis.

IDLab at the Neighbors in Research conference

IDLab researchers took part in the IX scientific conference "Neighbours in Research"

ID Lab ONLINE Workshop

Daria Semenova presented her Candidate of Science (PhD) thesis on Willingness to pay in the foodmarket: attributive VS neuroeconomic approaches. The thesis is supervised by Sofya Kulikova and Maria Molodchik