Meeting on Co-Financing the Seismobiomonitoring Project: New Prospects for Cooperation. SDG 9 and SDG 11

On the Faculty of Physics and Technology at Al-Farabi Kazakh National University hosted a meeting between Margulan Kasenovich Ibraimov, the head of the practical project "Development of an Automated Seismobiomonitoring System Using Entropy Analysis and Machine Learning Methods for Short-Term Earthquake Prediction in Almaty", and Berik Serikovich Begasilev, General Director of LLP "B&G ADVICE".

The primary objective of the meeting was to discuss co-financing opportunities for the scientific project, which aims to develop innovative technologies for seismic activity prediction.

About the Project: Innovative Earthquake Prediction Technologies

The project focuses on developing an automated system for recording and analyzing seismobiomonitoring data using advanced machine learning methods, neural network algorithms, and entropy analysis of seismograms.

Key Advantages of the Development

• Automated data analysis and key parameter selection.
• Adaptability of the system for specific regions, including seismically active zones in Kazakhstan and neighboring countries.
• Ready-to-use technological infrastructure – the project is already equipped with the necessary hardware and software for further integration into existing monitoring systems.

Contribution to the UN Sustainable Development Goals (SDGs)

The project aligns with several global initiatives:

• SDG 9 – Industry, Innovation, and Infrastructure: Implementation of modern artificial intelligence technologies and automated monitoring systems in seismology.
• SDG 11 – Sustainable Cities and Communities: Enhancing urban safety through early warning systems for potential natural disasters.

Prospects for Cooperation

The meeting also explored avenues for additional investment, scaling the project, and expanding system functionalities. Representatives of LLP "B&G ADVICE" expressed their interest in supporting scientific initiatives aimed at protecting populations from natural disasters.

The development of an automated seismobiomonitoring system marks a significant step in advancing science and technology in Kazakhstan while also opening new opportunities for international collaboration in seismology and earthquake prediction.