Big Data
for Smart Society

Spreading excellence for Society

The Big Data for Smart Society Institute (GATE) is the first Centre of Excellence in Bulgaria to work on integrating and extending scientific excellence and innovation in priority areas such as Big Data and Artificial Intelligence at regional and European level. GATE is an investment in people. The Institute aims to attract, inspire and cultivate the next generation Early-Stage Researchers who, under the guidance of leading scientists, will work with enthusiasm and curiosity in the field of Big Data and Artificial Intelligence.

GATE co-organised a summer school in Romania

A GATE researcher in the first ever EU TalentOn

GATE joined the AI4Media project as an associate ...

GATE Director participated in a debate on IT ...

News

GATE co-organised a summer school in Romania

The Bucharest University of Economic Studies, in collaboration with the GATE Institute, organised a Data Science International Summer School in Predeal, Romania, from July 22 to July 31, 2022.
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Events

A GATE researcher in the first ever EU TalentOn

This September the first ever EU TalentOn will take place in Leiden, Netherlands – the European City of Science 2022.
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News

GATE joined the AI4Media project as an associate member

The application of the Big Data for Smart Society  (GATE) Institute to join the AI4Media project as an associate member has been officially approved.
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News

GATE Director participated in a debate on IT infrastructure

IT infrastructure has a direct bearing on the quality of life, even in a village. This was the conclusion reached by the participants in the IT infrastructure session at the “Strategic Infrastructure and Investments 2022” conference, in which the director of the GATE Institute, Prof. Silvia Ilieva, took part. The event was organized by the City Media Group in partnership with the European Investment Bank and was held on July 7 at the Balkan Hotel, Sofia.
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People

Research

GATE research is focused on four main areas: Data management, Data analytics, Data insight and Data engineering.

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