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IDLab Workshop
Marina Zavertiaeva presented the study "Bank-firm interlocking Boards: Does it help to raise financial resources?". Co-authors of this research: Dmitrii Kirpishchikov, Evgeniia Shenkman.
Petr Parshakov take part in ROSES
Peter Parshakov, Head of IDLab, presented the results of the study "Choking under pressure in online and live competitions".
IDLab employees Evgenia Shenkman and Petr Parshakov spoke about available digital tools for searching and analyzing literature
On Thursday, June 29, within the framework of the IDLab (International Laboratory of Intangible-driven Economy) workshop, a presentation by Evgenia Shenkman and Petr Parshakov took place on digital tools that can be used to search for relevant literature and write reviews.
HSE – Perm hosted a seminar "Sport Analytics: Exploring Economic and Managerial Insights" as part of the iCare International Conference
HSE - Perm hosted the X International Conference on Applied Research in Economics (iCare). Within the framework of this conference, a Workshop was held: Sport Analytics: Exploring Economic and Managerial Insights, which brought together many researchers and practitioners interested in the application of data analysis in sports.
IDLab Workshop
Ilia Naidanov presented the study “Influence of firm-generated social media content on a firm's profitability”.
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IDLab Workshop
Michael Usanin, Petr Parshakov and Irina Maximova presented the study “Topic modeling by ESG-reports”.
IDLab Workshop
Pavel Milei, Nadezhda Votintseva & Angel Barajas presented the study "Automated identification and taxonomy of business models".
Getting Started for Interns in the Lab
The HSE International Laboratory of Intangible-Driven Economy has recently accepted 11 trainees into its team. Each of them is ready to develop their strong skills and learn something new in the laboratory.
IDLab has organized courses on the application of natural language processing (NLP) methods using Python
Natural language processing methods are one of the advanced machine learning methods and allow for the analysis and synthesis of text data. In particular, NLP methods solve problems such as classification, comparison and text generation. NLP methods are actively developing and their study is relevant both for fundamental research and for the implementation of applied projects.