Congratulations to the students of our master's programme on winning the Potanin Foundation scholarship competition
This year, two students of the master's programme 'Applied Statistics with Network Analysis Methods' became winners of the Potanin Foundation scholarship competition.
Applied methods for analyzing trends of the present and future: a review of various approaches
At the Open Day on May 16, partner of the Aventica group of companies, Stanislav Moiseev, spoke about the various approaches that are used in trend research: monitoring, trendwatching and foresight. To accurately forecast trends, a comprehensive approach that combines several methods is required.
At the open day on May 2, we talked about the track “Computational Social and Network Sciences”
The online master's programme Data Analytics and Social Statistics (DASS) has two tracks. The open day was dedicated to the track 'Computational Social and Network Sciences'.
On April 18, an Open Day for the DASS master's programme was held on the topic 'How to analyze the structure of collaboration?'
On April 18, 2024, the online programme 'Data Analytics and Social Statistics' held a webinar 'How to analyze the structure of scientific interaction? An example of leading young universities.'
On April 11, an open day was held on the topic 'How to participate in hackathons?'
At the open day, ANR-Lab researchers Egor Perekhozhev and Vasilisa Vashchenko spoke about how they became finalists of the XMAS HACK 2023 hackathon from the Moscow State University Opportunity Accelerator. Previously, Egor Perekhozhev took 2nd place at the Hackathon from Moscow State University and the Intellect Foundation.
DASS at the FSS Open Day
On March 30, the Data Analytics and Social Statistics programme held a series of events as part of an Open Day at the Faculty of Social Sciences. The programme of events assumed a hybrid format and included several presentations by representatives of the master's programme.
Open Day 'Research and Analytics in Industry' was held on March 21
At the webinar of the online master's programme 'Data Analytics and Social Statistics', listeners learned about trend watching and social media analysis.