Sergei Koltsov
- Leading Research Fellow:HSE Campus in St. Petersburg / Saint-Petersburg School of Social Sciences / Laboratory for Social and Cognitive Informatics
- Professor:HSE Campus in St. Petersburg / St. Petersburg School of Physics, Mathematics, and Computer Science / Department of Informatics
- Programme Academic Supervisor:Applied Data Analysis and Artificial Intelligence
- 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
Master's
St Petersburg State University
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.
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)
- Deep Learning (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3 year, 3, 4 module)Rus
- Deep Learning (Mago-Lego; 3, 4 module)Eng
- Deep Learning (Mago-Lego; 1, 2 module)Rus
- Deep Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3, 4 module)Eng
- Deep Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
- Natural Language Processing (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 4 year, 3 module)Rus
- Natural Language Processing (Mago-Lego; 3, 4 module)Rus
- Natural Language Processing (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3, 4 module)Rus
- Text mining: Advanced Level (Mago-Lego; 1 module)Eng
- Past Courses
Courses (2022/2023)
- Machine Learning (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 4 year, 1, 2 module)Eng
- Machine Learning (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 3 year, 1, 2 module)Eng
- Natural Language Processing (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 4 year, 3 module)Rus
- Natural Language Processing (Mago-Lego; 3 module)Rus
- Natural Language Processing (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3 module)Rus
- Text mining: Advanced Level (Master’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1 module)Eng
Courses (2021/2022)
- Big Data Analysis Technologies (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1, 2 module)Rus
- Machine Learning (Master’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1 module)Eng
Courses (2020/2021)
- Big Data analysis technologies (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 2 year, 3 module)Rus
- Machine Learning (Master’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1 module)Eng
Courses (2019/2020)
- Computer-Assisted Text Analysis in Public Administration (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 3 year, 3 module)Rus
- IT-Technologies in Public Management (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 4 year, 2 module)Rus
- Simulations, Experiment and Predicative Theories of Behaviour in Social Sciences (Master’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1, 2 module)Eng
Conferences
- 20168th 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
- 2015XVIII 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.
- 2014The 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
S. Koltsov Entropic topic models and methods of their aggregation
Publications53
- Article Ignatenko V., Surkov A., Sergei Koltcov. Random forests with parametric entropy-based information gains for classification and regression problems // PeerJ Computer Science. 2024. Vol. 10. Article e1775. doi
- Article Sergei Koltcov, Surkov A., Filippov V., Ignatenko V. Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics // PeerJ Computer Science. 2024. Vol. 10. Article e1758. doi
- Chapter Koltsov S. Application of Duality Properties of Renyi Entropy for Parameter Tuning in an Unsupervised Machine Learning Task, in: Applied Informatics Vol. 1: Communications in Computer and Information Science. Springer Publishing Company, 2022. doi doi
- Chapter Prytkova Anastasia, Pashakhin S., Koltsov S. Following the Lead When Nothing is Certain? Exploring the Image of Russia in Kazakhstani and Ukrainian Digital News Media, in: Digital Transformation and Global Society. 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers / Ed. by D. A. Alexandrov, A. V. Boukhanovsky, A. V. Chugunov, Y. Kabanov, O. Koltsova, I. Musabirov, S. Pashakhin. Cham: Springer, 2022. doi P. 375-388. doi
- Article Riabykh A., Surzhko D., Konovalikhin M., Koltsov S. STTM: an efficient approach to estimating news impact on stock movement direction // PeerJ Computer Science. 2022. Vol. 8. Article e1156. doi
- Article Koltsov S., Ignatenko V., Terpilowski M., Rosso P. Analysis and tuning of hierarchical topic models based on Renyi entropy approach // PeerJ Computer Science. 2021. Vol. 7. Article e608. doi
- Chapter Moroz A., Pashakhin S., Koltsov S. Modeling Cascade Growth: Predicting Content Diffusion on VKontakte, in: Networks in the Global World V: Proceedings of NetGloW 2020. Lecture Notes in Networks and Systems Vol. 181. Cham: Springer, 2021. P. 180-195. doi
- Chapter Vziatysheva V., Sinyavskaya Y., Porshnev A., Terpilowski M., Koltsov S., Bryanov K. Testing Users’ Ability to Recognize Fake News in Three Countries. An Experimental Perspective, in: Social Computing and Social Media: Experience Design and Social Network Analysis. HCII 2021. Lecture Notes in Computer Science Vol. 12774. Springer, 2021. P. 370-390. doi
- Article Koltsov S., Ignatenko V., Boukhers Z., Staab S. Analyzing the Influence of Hyper-parameters and Regularizers of Topic Modeling in Terms of Renyi entropy // Entropy. 2020. Vol. 22. No. 4. P. 1-13. doi
- Chapter Koltsov S., Ignatenko V., Pashakhin S. Fast Tuning of Topic Models: An Application of Rényi Entropy and Renormalization Theory, in: Proceedings of the 5th International Electronic Conference on Entropy and Its Applications Vol. 46. Issue 1. MDPI AG, 2020. Ch. 5. P. 1-8. doi
- Chapter Koltsov S., Ignatenko V., Pashakhin S. How many clusters? An Entropic Approach to Hierarchical Cluster Analysis, in: Intelligent Computing: SAI 2020: Volume 3 Vol. 1230. Book 3. Cham : Springer, 2020. doi P. 560-569. doi
- Chapter Koltsova O., Alexeeva S., Pashakhin S., Koltsov S. PolSentiLex: Sentiment Detection in Socio-political Discussions on Russian Social Media, in: Artificial Intelligence and Natural Language. AINL 2020. Communications in Computer and Information Science Book 1292: Communications in Computer and Information Science. Cham: Springer, 2020. P. 1-16. doi
- Article Koltcov Sergei, Ignatenko V. Renormalization Analysis of Topic Models // Entropy. 2020. Vol. 22. No. 5. P. 1-23. doi
- Chapter Koltsov S., Ignatenko V. Renormalization approach to the task of determining the number of topics in topic modeling, in: Intelligent Computing: SAI 2020: Volume 1 Vol. 1228. Part 1. Switzerland : Springer, 2020. P. 234-247. doi
- Article Koltsov S., Ignatenko V., Koltsova O. Estimating Topic Modeling Performance with Sharma–Mittal Entropy // Entropy. 2019. Vol. 21. No. 7. P. 1-29. doi
- Article Ignatenko V., Sergei Koltcov, Staab S., Boukhers Z. Fractal approach for determining the optimal number of topics in the field of topic modeling // Journal of Physics: Conference Series. 2019. Vol. 1163. No. 1. P. 1-6. doi
- Chapter Koltsov S., Pashakhin S., Dokuka S. A Full-Cycle Methodology for News Topic Modeling and User Feedback Research, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10th International Conference on Social Informatics, SocInfo 2018; St.Petersburg. Cham: Springer, 2018. P. 308-321. doi
- Article Koltsov S. Application of Rényi and Tsallis entropies to topic modeling optimization // Physica A: Statistical Mechanics and its Applications. 2018. Vol. 512. P. 1192-1204. doi
- Chapter Dokuka S., Koltsov S., Koltsova O., Koltsov M. Echo chambers vs opinion crossroads in news consumption on social media, in: Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi P. 13-19. doi
- Chapter Mavrin A., Filchenkov A., Koltsov S. Four Keys to Topic Interpretability in Topic Modeling, in: Artificial Intelligence and Natural Language, 7th International Conference, AINL 2018, St. Petersburg, Russia, October 17–19, 2018, Proceedings Issue 930. Switzerland : Springer, 2018. doi P. 117-129. doi
- Chapter Koltsova O., Nikolenko S. I., Alexeeva S. V., Nagornyy O. S., Koltsov S. Detecting interethnic relations with the data from social media, in: Digital Transformation & Global Society: Second International Conference, DTGS 2017, St. Petersburg, Russia, June 21-23, 2017, Revised Selected Papers. Springer, 2017. P. 16-30. doi
- Article Sergey Nikolenko, Sergei Koltcov, Olessia Koltsova. Topic modelling for qualitative studies // Journal of Information Science. 2017. Vol. 43. No. 1. P. 88-102. doi
- Article Koltsova O., Koltsov S., Sinyavskaya Y. When Internet Really Connects Across Space: Communities of Software Developers in Vkontakte Social Networking Site, International Journal of Web Based Communities // Lecture Notes in Computer Science. 2017. Vol. 10540. P. 431-442. doi
- Article Svetlana S. Bodrunova, Koltsova O., Sergey Koltcov, Sergey Nikolenko. Who’s Bad? Attitudes Toward Resettlers From the Post-Soviet South Versus Other Nations in the Russian Blogosphere // International Journal of Communication. 2017. Vol. 11. P. 3242-3264.
- Article Кольцов С. Н. Термодинамический подход к проблеме определения числа кластеров на основе тематического моделирования // Письма в Журнал технической физики. 2017. Т. 43. № 12. С. 90-95. doi
- Article Braslavski P., Markov I., Pardalos P. M., Volkovich Y., Koltsov S., Koltsova O., Ignatov D. I. 9th Russian Summer School in Information Retrieval (RuSSIR 2015) // ACM SIGIR Forum. 2016. Vol. 49. No. 2. P. 72-79. doi
- Chapter Koltsova O. Yu, Alexeeva S. V., Kolcov S. N. An Opinion Word Lexicon and a Training Dataset for Russian Sentiment Analysis of Social Media, in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва,1–4 июля 2016 г.) / Под общ. ред.: В. Селегей. Вып. 15. М. : Изд-во РГГУ, 2016. P. 277-287.
- Article Koltsov S., Gall L., Gall N. Applicability of the particle-in-cell method for the through calculation of jet flows in a wide interval of gas Pressures / Пер. с рус. // Technical Physics Letters. 2016. Vol. 42. No. 3. P. 227-229. doi
- Article Koltsova O., Koltsov S., Nikolenko S. I. Communities of co-commenting in the Russian LiveJournal and their topical coherence // Internet Research. 2016. Vol. 26. No. 3. P. 710-732. doi
- Article Кольцов С. Н., Николенко С. И., Кольцова Е. Ю. Gibbs Sampler Optimization for Analysis of a Granulated Medium // Письма в Журнал технической физики. 2016. Т. 42. № 8. С. 837-839. doi
- Book Information Retrieval. 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015, Revised Selected Papers / Ed. by P. Braslavski, P. Markov, Y. Volkovich, D. I. Ignatov, S. Koltsov, O. Koltsova, P. M. Pardalos. Vol. 573. Switzerland : Springer, 2016. doi
- Article Apishev M., Koltsov S., Koltsova O. Mining ethnic content online with additively regularized topic models // Computacion y Sistemas. 2016. Vol. 20. No. 3. P. 387-403. doi
- Chapter Sergei Koltcov, Nikolenko S. I., Olessia Koltsova, Vladimir Filippov, Svetlana Bodrunova. Stable Topic Modeling with Local Density Regularization, in: Internet Science, Proc. of 3d conf INSCI 2016, Lecture Notes in Computer Science series Vol. 9934. Switzerland : Springer, 2016. doi P. 176-188. doi
- Chapter Koltsov S., Nikolenko S. I., Koltsova O., Bodrunova S. Stable topic modeling for web science: Granulated LDA, in: WebSci 2016 - Proceedings of the 2016 ACM Web Science Conference. Elsevier, 2016. P. 342-343. doi
- Chapter Nikiforova / Nikivincze I., Koltsova O., Koltsov S., Braslavski P. StartupPoint.ru: The Use of Online Social Networks for Startup Development, in: XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн. / Отв. ред.: Е. Г. Ясин. Кн. 3. М. : Издательский дом НИУ ВШЭ, 2016. P. 596-606.
- Chapter Алексеева С. В., Кольцов С. Н., Кольцова О. Ю. Linis-crowd.org: лексический ресурс для анализа тональности социально-политических текстов на русском языке // В кн.: Компьютерная лингвистика и вычислительные онтологии: сборник научных статей. Труды XVIII объединенной конференции «Интернет и современное общество» (IMS-2015), Санкт-Петербург, 23 – 25 июня 2015 г. СПб. : Университет ИТМО, 2015. С. 25-34.
- Chapter Bodrunova S., Koltsova O., Koltsov S., Nikolenko S. I. Mapping Ethnic Discourse in the Russian Blogosphere of 2010s, in: XV апрельская международная научная конференция по проблемам развития экономики и общества: в 4-х книгах / Отв. ред.: Е. Г. Ясин. Кн. 3. М. : Издательский дом НИУ ВШЭ, 2015. P. 181-188.
- Article Meylakhs P., Rykov Y., Koltsova O., Koltsov S. An AIDS-denialist Online Community in a Russian Social Networking Service: Patterns of Interactions with the Newcomers and Rhetorical Strategies of Persuasion // Journal of Medical Internet Research. 2014. Vol. 16. No. 11. P. e261.
- Chapter Koltsova, O., Koltcov, S., Alexeeva, S. Do ordinary bloggers really differ from blog celebrities?, in: Proceedings of WebSci '14 ACM Web Science Conference, Bloomington, IN, USA — June 23 - 26, 2014. NY : ACM, 2014. P. 166-170.
- Chapter Koltsov S., Koltsova O., Nikolenko S. I. Latent Dirichlet Allocation: Stability and Applications to Studies of User-Generated content, in: Proceedings of WebSci '14 ACM Web Science Conference, Bloomington, IN, USA — June 23 - 26, 2014. NY : ACM, 2014. P. 161-165.
- Chapter Nikolenko S. I., Koltsov S., Koltsova O. Measuring Topic Quality in Latent Dirichlet Allocation, in: Proceedings of the Philosophy, Mathematics, Linguistics: Aspects of Interaction 2014 Conference. St. Petersburg : The Euler International Mathematical Institute, 2014. P. 149-157.
- Preprint Koltsova O., Sergei Koltcov. When Location Does Not Matter: Membership And Networking In Online Communities Of Software Developers / NRU Higher School of Economics. Series SOC "Sociology". 2014. No. WP BRP 57/SOC/2014.
- Chapter Кольцов С. Н., Кольцова Е. Ю., Митрофанова О. А., Шиморина А. Интерпретация семантических связей в текстах русскоязычного сегмента Живого Журнала на основе тематической модели LDA // В кн.: Технологии информационного общества в науке, образовании и культуре. Сборник научных статей. Труды XVII Всероссийской объединенной конференции «Интернет и современное общество» Санкт-Петербург, 19 – 20 ноября 2014 г. СПб. : Университет ИТМО, 2014. С. 135-142.
- Chapter Svetlana Alexeeva, Olessia Koltsova, Sergei Koltsov Общественное мнение онлайн: сравнение структуры и тематики постов «обычных» и «популярных» блогеров Живого Журнала // В кн.: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014) / Ed. by D. I. Ignatov, M. Y. Khachay, A. Panchenko, N. Konstantinova, R. Yavorsky, D. Ustalov. Vol. 1197: Supplementary Proceedings of AIST 2014. Ekaterinburg : CEUR Workshop Proceedings, 2014. С. 177-181.
- Chapter Видясова Л. А., Кольцов С. Н., Чугунов А. В. Формирование «повестки дня» в сфере электронного правительства: результаты контент-анализа новостных сообщений // В кн.: Технологии информационного общества в науке, образовании и культуре. Сборник научных статей. Труды XVII Всероссийской объединенной конференции «Интернет и современное общество» Санкт-Петербург, 19 – 20 ноября 2014 г. СПб. : Университет ИТМО, 2014. С. 124-128.
- Preprint Maslinsky K. A., Koltsov S., Koltsova O. Changes in the Topical Structure of Russian-Language Livejournal: The Impact of Elections 2011 / NRU Higher School of Economics. Series SOC "Sociology". 2013. No. 14.
- Preprint Koltsova O., Koltsov S., Nikolenko S. I. Comment-Based Discussion Communities In The Russian LiveJournal And Their Topical Coherence / NRU Higher School of Economics. Series SOC "Sociology". 2013. No. WP BRP 33/SOC/2013.
- Chapter Bodrunova S., Nikolenko S. I., Koltsova O., Koltsov S., Шиморина А. Interval Semi-Supervised LDA: Classifying Needles in a Haystack, in: Proceedings of the 12th Mexican International Conference on Artificial Intelligence (MICAI 2013) Part I: Advances in Artificial Intelligence and Its Applications. Berlin : Springer, 2013. P. 265-274.
- Chapter Bodrunova S., Koltsov S., Koltsova O., Nikolenko S. I., Shimorina A. Interval Semi-supervised LDA: Classifying Needles in a Haystack, in: Proceedings of the 12th Mexican International Conference on Artificial Intelligence (MICAI 2013) Part I: Advances in Artificial Intelligence and Its Applications. Berlin : Springer, 2013. P. 265-274.
- Article Koltsova O., Sergei Koltcov. Mapping the Public Agenda with Topic Modeling:The Case of the Russian LiveJournal // Policy & Internet. 2013. Vol. 5. No. 2. P. 207-227.
- Chapter Кольцов С. Н., Manura D. Модель тестовых частиц для численного моделирования в масс – спектрометрии // В кн.: Шестой съезд ВМСО, V Всероссийская конференция с международным участием «Масс - Спектрометрия и ее прикладные проблемы» 08–11 октября 2013 года, г. Москва. М. : Всероссийское масс-спектрометрическое общество, 2013.
- Chapter Кольцов С. Н., Кольцова Е. Ю. Статистический и тематический профиль «Живого журнала» // В кн.: Материалы XVI Всероссийской объединенной конференции «Интернет и современное общество». СПб. : НИУ ИТМО, 2013. Гл. 2. С. 96-104.
- Chapter Кольцова Е. Ю., Рыков Ю. Г., Кольцов С. Н. Картирование комментовых сообществ в Живом Журнале // В кн.: Информационные системы для научных исследований: сборник научных статей. Труды XV Всероссийской объединенной конференции «Интернет и современное общество» / Науч. ред.: А. Чугунов. СПб. : МультиПроджектСистемСервис, 2011. С. 239-242.
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.
Sergei Koltsov has assumed the position of professor at the HSE University
The leading research fellow of SCILA successfully competed for a professorship position at the Department of Informatics of the St. Petersburg School of Physics, Mathematics, and Computer Science.
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.
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.
ISMW FRUCT-2016
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.