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 plays a key role in new EU AI policies

GATE and FMI are looking for the new generation of ...

Bulgaria and Japan Strengthen Ties Through Digital ...

GATE Launches Advanced Visualization Service for ...

News

GATE plays a key role in new EU AI policies

As of 2 August 2025, new rules for the development and use of general-purpose AI models – technologies powering systems such as ChatGPT, Copilot, and other generative AI solutions have come into force in the EU under the Artificial Intelligence Act (AI Act). These rules introduce requirements for transparency, copyright, cybersecurity, and risk management.
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News

GATE and FMI are looking for the new generation of Masters in Big Data Technologies

GATE Institute at Sofia University “St. Kliment Ohridski” St. Kliment Ohridski University reopens its doors for the new class of the Master’s program “Big Data Technologies”.
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Events

Bulgaria and Japan Strengthen Ties Through Digital Innovation Dialogue

Digital Synergies: A High-Level Seminar on Smart Cities, AI, and Data Futures
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News

GATE Launches Advanced Visualization Service for Cities Through EIT InfraBooster Program

GATE Institute, part of Sofia University “St. Kliment Ohridski”, has successfully developed and launched a new service—GATE AVS (Advanced Visualization Solutions for Cities)—as a result of its participation in the EIT InfraBooster programme.
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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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