• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Language Proficiency
+7 (495) 772-95-90
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room M405
SPIN-RSCI: 9996-8920
ORCID: 0000-0002-3958-538X
ResearcherID: K-7561-2015
Scopus AuthorID: 9842491900
Google Scholar
I. F. Deviatko
S. Roshchin
A. Y. Melville
I. Zangieva
Printable version


Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!
To be used only for spelling or punctuation mistakes.

Ivan Alexandrovich Klimov

  • Ivan Alexandrovich Klimov has been at HSE University since 2009.

Education and Degrees

  • 2000

    Candidate of Sciences* (PhD) in Theory, History and Methods of Sociology
    Institute of Sociology of the Russian Academy of Sciences

  • 1996

    Lomonosov Moscow State University

* 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.

Courses (2023/2024)

Courses (2022/2023)

Courses (2021/2022)

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Courses (2017/2018)

Sociology (Bachelor’s programme; Faculty of Creative Industries; 1 year, 1, 2 module)Rus

Editorial board membership

  • 2004: Member of the Editorial Board, Социологический журнал.

  • 2006–2009: Executive Editor, Социальная реальность.


Timetable for today

Full timetable

ANR-lab team members are experts in reviewing trends based on the results of the Grushin conference

Ivan Klimov and Sergey Davydov acted as experts in the trend review that followed the results of the Grushin VTsIOM conference. Using content analysis of the texts of the conference reports, a database of trend signals was formed, which were distributed into subject-thematic clusters and formed the basis of a matrix (map) of trends. Our colleagues gave their assessments of the forecasts that were compiled as part of the trend map.

New cohort of MASNA students

In the 2023/24 academic year, a group of 30 students began studying in the master’s programme 'Applied Statistics with Network Analysis Methods'. The school year officially started on October 2.

On September 7, the MASNA open day took place

On September 7, another open house event was held for the Master of Applied Statistics with Network Analysis (MASNA) online master's programme.

‘Statistical Data Analysis Is One of the Basic Skills Required of Modern People’

September 15 is the deadline to submit application documents for the Master’s in Applied Statistics with Network Analysis, Russia’s first English-language online programme in applied statistics. The HSE University programme trains specialists capable of working with data for strategising business processes and analysing the system of interactions between companies and people.

MASNA Open House Event

On August 11, another open house event was held for the Master of Applied Statistics with Network Analysis (MASNA) online master's programme.

Ivan Klimov answered the frequently asked questions about MASNA

Ivan Klimov told: how the educational process is built on the programme, what is the assessment system, how to communicate with teachers and what are the recommendations before starting the education.

MASNA Graduation 2023

On July 3, the graduation of the master's programme 'Applied Statistics with Network Analysis' was held for students of the 2021 enrollment.

MASNA Х ‘Nuzhna pomosh’

Ksenia Babikhina and Karina Pipiya, researchers of the 'Nuzhna pomosh' charitable foundation, as well as Ivan Klimov, academic supervisor of the online master’s programme 'Applied Statistics with Network Analysis', have discussed the cooperation prospects of students project-based learning.

Study of the intergenerational relationships of the rich families from the Forbes list

This interview is given by Ivan Klimov to the channel Nasledie.digital.

Epistemic transformations of the concept of "social exclusion" in the Academic discourse of social policy: foreign and Russian contexts 

Roman Abramov and Danila Ivanov made a presentation on the theoretical foundations of the concept of "social exclusion" at the ILSIR seminar. The debater was Ivan Klimov.

MASNA Online Workshop 'How to analyze a network of your friends with social network analysis' on May 26

MASNA, the online master's programme ‘Applied Statistics with Network Analysis’, has held the workshop ‘How to analyze a network of your friends with social network analysis’.

Master's programme MASNA in the podcast of the project "Vyshka On the Line"

Daria Maltseva and Ivan Klimov recorded a podcast episode about the MASNA programme for the project "Vyshka On the Line".

On April 21, MASNA held a webinar ‘Student Research Projects’

MASNA and ANR-Lab held a webinar dedicated to student research projects implemented by MASNA students as part of a project seminar.

ANR-Lab Roundtable at the Yasin conference

On April 11, within the framework of the XXIV Yasin (April) international scientific conference on the problems of the development of the economy and society, a Roundtable ANR-Lab 'Theory and application of network analysis' was held. Laboratory staff and external speakers made presentations.

On March 24, the first MASNA Open Day was held this year

Ivan Klimov is the new academic supervisor of MASNA 

From June 1, Ivan Alexandrovich Klimov became the Academic Supervisor of the Master's Programme “Applied Statistics with Network Analysis”. 

On April 7-8, within the framework of the Yasin (April) Conference, the section "Network Analysis" was held 

On April 5-22, 2022, the XXII Yasin (April) International Academic Conference on Economic and Social Development organized by NRU HSE takes place. Within the conference framework, the International Laboratory for Applied Network Research traditionally organized a section, "Network Analysis," addressed to various theoretical and empirical studies from different disciplines, based on applying theoretical and methodological approaches from the field of network analysis.