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+7 (911) 981-91-65
Address: St. Petersburg, 55A Sedova Ulitsa, Korpus 2, room 216
SPIN-RSCI: 6421-2676
ORCID: 0000-0002-2932-2746
ResearcherID: M-1486-2015
Scopus AuthorID: 12778275400
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O. Koltsova
N. A. Shirokov
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Sergei Koltsov

  • Sergei Koltsov has been at HSE University since 2016.

Education and Degrees

  • 2023

    Doctor of Sciences*
    HSE University

  • 2000

    Candidate of Sciences* (PhD) in Physical and Mathematical Sciences
    RAS Institute for Analytical Instrumentation

  • 1995

    St Petersburg 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.
* Doctor of Sciences
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.

Courses (2023/2024)

Courses (2022/2023)

Courses (2021/2022)

Courses (2020/2021)


  • 2016
    8th ACM Conference on Web Science (Ганновер). Presentation: Stable Topic Modeling for Web Science: Granulated LDA
  • 66th ICA Annual Conference (Fukuoka). Presentation: Topic Modeling in Online Communication Research: New Possibilities and Challenges

  • INSCI 2016 - Openness, Collaboration and Collective Action (Florence). Presentation: Stable Topic Modeling with Local Density Regularization

  • 2015
    XVIII Объединенная конференция "Интернет и современное общество" (IMS - 2015) (Санкт-Петерубург). Presentation: Linis-crowd.org: лексический ресурс для анализа тональности социально-политических текстов на русском языке
  • International Conference on Computational Social Science (Helsinki). Presentation: Topic Modeling Stability and Granulated LDA

  • СЕДЬМОЙ СЪЕЗД ВМСО (VI ВСЕРОССИЙСКАЯ КОНФЕРЕНЦИЯ С МЕЖДУНАРОДНЫМ УЧАСТИЕМ «МАСС-СПЕКТРОМЕТРИЯ И ЕЕ ПРИКЛАДНЫЕ ПРОБЛЕМЫ»). Presentation: Applicability of a large particles model for simulation of gas flow in a wide pressure interval.

  • СЕДЬМОЙ СЪЕЗД ВМСО (VI ВСЕРОССИЙСКАЯ КОНФЕРЕНЦИЯ С МЕЖДУНАРОДНЫМ УЧАСТИЕМ «МАСС-СПЕКТРОМЕТРИЯ И ЕЕ ПРИКЛАДНЫЕ ПРОБЛЕМЫ»). Presentation: Application of Volume Ray Casting technology for 3D visualization of gas dynamics simulation based on the Large Particle Model.

  • 2014
    The ACM Web Science 2014 Conference (Bloomington). Presentation: Koltsov S., Koltsova O., Nikolenko S. I. Latent Dirichlet Allocation: Stability and Applications to Studies of User-Generated content
  • ANALYSIS OF IMAGES, SOCIAL NETWORKS, AND TEXTS (Екатеринбург). Presentation: Общественное мнение онлайн: Сравнение структуры и тематики постов «обычных» и «популярных» блогеров Живого Журнала
  • XVII Всероссийская конференция «Интернет и современное общество» (Санкт-Петербург). Presentation: Интерпретация семантических связей в текстах русскоязычного сегмента Живого Журнала на основе тематической модели LDA

Dissertation for a degree of Doctor of Science


Development of concept and methodology for multi-level monitoring of the state of interethnic relations with the data from social media

The goal of the project "Development of concept and methodology for multi-level monitoring of the state of interethnic relations with the data from social media" was to provide government officials, non-governmental organizations, and researchers with a well-tested methodology and a convenient tool to monitor the discussion of the problems of ethnicity and nationality by Internet users. The end result of our project should contain methodical recommendations and software tools for the analysis of text data mined from social networks. Our approach to monitoring is based on topic modeling, a class of algorithms that analyze cooccurrences of words in texts and based on this data find latent topics in text corpora that would be much too large to read for a human. The result of such an algorithm includes the probabilities of documents expressing certain topics and words appearing in a certain topic, which provides the user with a concise representation of the topical structure of the collection and distinguished texts that best represent specific topics. This approach is augmented with automated sentiment analysis and visualization of distributions of ethnic-related topics over regional and temporal structure of the collection. Thus, an analyst gets a graphic representation of where, when, with what polarity (positive or negative), and in what specific context certain ethnic groups are being discussed on the Web.

Timetable for today

Full timetable

How HSE University-St Petersburg Spent 2023

The year is gradually wrapping up, which means it's high time to take stock and thank each other for our joint work. Learn about the brightest and most important events which happened at HSE University-St Petersburg this year from professors, academic supervisors and deans of the campus faculties. Happy New Year! May your year be filled with inspiration and energy for new achievements!

The SCILA won a Russian Science Foundation grant to study the use of large language models for solving differential equations

On November 28, 2023, the results of the Russian Science Foundation competition were announced: the application submitted by the Laboratory of Social and Cognitive Informatics received support for the year 2024.

Sergey Koltsov spoke at a seminar at Sirius University

From November 20th to November 24th, 2023, a seminar on "Mathematical Modeling of Materials: Modern Research and Training of Specialists" took place at Sirius University of Science and Technology. On November 21st, Sergey Koltsov, a leading researcher from the Laboratory of Social and Cognitive Informatics, gave a presentation at the event.

The results of the Joint Project of SCILA and VTB were Published

The journal PeerJComputerScience (IF = 2.41) published an article with the results of a joint project of the SCILA and VTB Bank.

SCILA Leading Research Associate Receives Doctor of Computer Science Degree

On March 6, 2023, Koltsov Sergey Nikolaevich was awarded the degree of Doctor of Computer Science in the scientific speciality 1.2.1 “Artificial Intelligence and Machine Learning” by the Dissertation Council of the National Research University Higher School of Economics in Computer Science.

Congratulations to Sergei Nikolayevich on this achievement!

Defence of the doctoral dissertation of Sergey Nikolaevich Koltsov

On February 1, the defense of the dissertation by Sergey Nikolaevich Koltsov took place on the topic: “Entropy thematic models and methods for their aggregation”.

LINIS on CSP2018

LINIS Junior Research Fellow Vera Ignatenko took part at the International Conference on Computer Simulation in Physics and beyond (CSP2018) held September 24-27 2018 in Moskow. 

Data Science for everybody! 

Sergei Koltsov, the IT-director of LINIS, took a part in intensive seminar, which was held in the office of Yandex in Moscow on June 14-15.

Web Science-2017 in Saint-Petersburg!

We are happy to congratulate our colleagues on winning in WSTNet Web science Summer School competitive proposal procedure!

Openness, Collaboration and Collective Action!

It was the motto of the 3rd  International Conference on Internet Science-2016, which was attended by members of the LINIS. September 12-14 in Florence, scientists, practitioners and politicians from around the world came together to discuss socially important problems and their solutions.


Sergey Koltsov and Olesya Koltsova was invited as experts in the field of topic modeling to conduct workshops at International FRUCT conference ISMW-2016.

LINIS Found the Limitations of Text Clustering on the Internet

Sergey Koltsov, Deputy Director of the Laboratory for Internet Studies (LINIS), presented his project on the problems of topic modeling of on-line texts at the Web Science conference in Bloomington.