News
Anna Semenova explained why centralities are needed in networks
In the "+/-10 minutes" release, Anna Semenova, a junior research fellow at the Laboratory of Applied Network Research and the International Centre of Decision Choice and Analysis, a postgraduate student at the Faculty of Computer Science and a representative of the online master's programme "Data Analytics and Social Statistics", told how one can explain why Moscow became the capital of Russia or why you received fake news last week. Anna analyzed such problems from the point of view of centrality measures, and also explained what types of centrality exist and what other studies can be conducted in this way.
Master class 'Data analysis without code'
The International Laboratory of Applied Network Research invites you to watch the recording of the master class 'Data Analysis Without Code', which took place on August 22, 2024.
DASS teachers among the best in 2024
Irina Pavlova and Stanislav Pashkov, teachers of the Data Analytics and Social Statistics programme, were chosen as the best in a vote by students of the Faculty of Social Sciences in 2024.
Seminar 'Retirement age as a milestone in life: the image of the desired future and the experience of planning your life'
On August 15, the open day of the Data Analytics and Social Statistics programme took place.