Alexey Rotmistrov

Education and Degrees

2009

Candidate of Sciences* (PhD) in Management Sociology
State University of Management
Thesis Title: Social Factors of the Russian Youth Protest Behavior (Comparative Analysis of Situations Early XX And Early XXI Centuries)

2008

Doctoral programme in Sociology of Management
State University of Management, Sociology and HR

2005

Degree in Sociology
State University of Management, Sociology and HR

* 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

Political trust determinants Beauty contests' economics Amateur car culture Interaction effects in regression modeling and methods of their selection Distance measure Cosine in clustering methods Russian nationalists' sources monitoring Exploratory and confirmatory algorithms combining in multidimensional data mining The bankruptcy proceedings social context Municipal authority state authorities social crisis economic and financial crisis computational sociology big data textual big data python control variables as main effects and interaction ones

Awards and Accomplishments

Best Teacher — 2023–2025, 2021, 2018–2019, 2015–2016
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "Future Professoriate" (2015)
Category "New Lecturers" (2013–2014)

Courses (2026/2027)

Basics of Python Programming and Data Analysis (Mago-Lego; Faculty of Social Sciences)Rus
Big Data from Social Media: Collection and Exploratory Analysis (Mago-Lego; Faculty of Social Sciences)Rus
Big Data from Social Media: Collection and Exploratory Analysis (Mago-Lego; Faculty of Social Sciences)Rus

Courses (2025/2026)

Basics of Python Programming and Data Analysis (Mago-Lego; Faculty of Social Sciences; 1, 2 module)Rus
Basics of Python Programming and Data Analysis (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 1, 2 module)Rus
Big Data from Social Media: Collection and Exploratory Analysis (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3, 4 module)Rus
Big Data from Social Media: Collection and Exploratory Analysis (Master’s programme; Faculty of Social Sciences field of study Sociology; 1 year, 3, 4 module)Rus
Big Data from Social Media: Collection and Exploratory Analysis (Mago-Lego; Faculty of Social Sciences; 3, 4 module)Rus
Introduction to Web Scraping and Data Mining in Social Sciences (Bachelor’s programme; Faculty of Social Sciences field of study Sociology; 4 year, 3 module)Rus
Past Courses

Supervisor of the following Doctoral theses

for a Candidate of Sciences degree

1
Q. Tang A сomparison of аnti-COVID-19 vaccine attitude in China and India through social media platforms

Timetable for today

Full timetable

The scientific and educational resource http://rotmistrov.com

As part of this initiative, I popularize methods of sociology, marketing, political analytics, i.e. the data analysis methods that address sociological, marketing, political science problems.

The resource contains video guidance and other information dedicated data analysis methods.

How to choose the right procedure or method of data analysis?

If you know the name of the method you are interested in, just look it up on the site one of 4 ways:

hovering the mouse over the item Методы in the main menu (where methods are in alphabetical order)
using the navigation buttons on the methods on the right (in the mobile version - below)
by using the search option in your web browser (usually Cntl + F)
by using the search option on the site at the top right

If you do not find your preferred method, write to me, so I prepared video guidance on it.

If you do not know exactly what method you are interested, read the small text on the methods page.

8

Jul

2019

HSE Researchers Receive Grants in Russian Science Foundation Competitions

The Russian Science Foundation announced the results of its 2019 competitions for support from the Presidential Research Project Programme. One competition was for grants in support of research initiatives by early career researchers, and another was in support of research conducted by research groups headed by early career scholars.