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News

Illustration for news: Anna Semenova explained why centralities are needed in networks

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.

New video: DASS open house event "On Data Analyst Career Strategies"

The International Laboratory of Applied Network Research invites you to watch the recording of the DASS open house event "On Data Analyst Career Strategies", which took place on September 10th. A graduate of the programme Elena Stegnii shared her experience and told who the programme is designed for, as well as what career prospects are possible. An important issue was also discussed: how to combine study and work in order to successfully develop in your chosen profession. The language of the seminar is Russian.VK Video:

Webinar "How to analyze the labor market: comparison of Russian and international recruiting platforms for data analyst vacancies".

The International Laboratory of Applied Network Research invites you to watch the recording of the webinar "How to analyze the labor market: comparison of Russian and international recruiting platforms for data analyst vacancies", which took place on September 5th.

Recording of the open day to program graduate Dina Yakovleva

The International Laboratory of Applied Network Research invites you to watch the recording of the DASS Open Day with a graduate of the Programme Dina Yakovleva, which took place on September 1st.

Illustration for news: Master class 'Data analysis without code'

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.

Illustration for news: DASS teachers among the best in 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.

Illustration for news: Seminar 'Retirement age as a milestone in life: the image of the desired future and the experience of planning your life'

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.

Illustration for news: Seminar 'Network effects around us: amazing discoveries in the field of social network analysis'

Seminar 'Network effects around us: amazing discoveries in the field of social network analysis'

The DASS programme invites you to watch a recording of the open day, where together with the head of ANR-Lab Daria Maltseva we talked about some discoveries in the field of Social Network Analysis (SNA): concepts and theories that explain social interactions with various network effects.

Illustration for news: About the ANR-Lab summer school 'Web-scraping and API for social scientific research'

About the ANR-Lab summer school 'Web-scraping and API for social scientific research'

On August 5, the summer school 'Web-scraping and API for social scientific research', conducted by ANR-Lab employee Lika Kapustina, ended.

Illustration for news: How HSE graduates made $2.6 million on Russian Tinder

How HSE graduates made $2.6 million on Russian Tinder

How DASS (ex-MASNA) graduate Valery Klimov and his colleague Veronika Yakovleva earned $2.6 million on Russian Tinder – in the Forbes material.