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NAM CSSTC Forges Partnership with Amrita Vishwa Vidyapeetham to Leverage AI Technology for Landslide Disaster Mitigation
Amritapuri, India, 31 August 2025.
On 31 August 2025, the NAM Centre for South-South Technical Cooperation (NAM CSSTC) held a follow-up meeting with the Faculty of Artificial Intelligence AI at Amrita Vishwa Vidyapeetham, Amritapuri, India, as a continuation of discussions initiated during Dr. Krishnan Srinivasaraghavan’s visit to Jakarta. The discussion is centered on enhancing capacity-building in the disaster management sector and on formulating a Memorandum of Understanding (MoU) to formalize joint initiatives.
During the meeting, NAM CSSTC representatives gained valuable insights from the Faculty of AI at Amrita Vishwa Vidyapeetham regarding their experience in implementing landslide mitigation projects in India, including the development of an Early-Warning System that combines AI and sensor technology. Through this discussion, NAM CSSTC recognized this system as a promising strategy to strengthen disaster preparedness and anticipate risks in landslide-vulnerable areas for its member states. Despite the complexities and technical challenges involved, including the collection of soil and rock samples from participating countries for accurate laboratory simulations, both NAM CSSTC and Amrita Vishwa Vidyapeetham expressed a shared commitment to work together, combining expertise and resources to enhance disaster risk management across the Global South.
NAM CSSTC and Amrita University foresee this collaboration as a sustained multi-year initiative, with each training session building on the lessons and insights of the previous one. As a first step, both institutions have agreed to conduct an introductory online seminar focused on Regional-Level Warning, a system designed to detect landslide risks using broader regional data with approximately 70% accuracy. The purpose of the seminar is to introduce participants to the Early-Warning System and to gather preliminary geological data from each participating country, enabling the Amrita laboratory team to analyze the inputs and further refine the system’s precision.
This initiative is aimed to be progressively expanded as an advanced-level training that allows participating countries to engage more thoroughly with the Early-Warning System through practical exercises. The Faculty of AI has emphasized that the following capacity-building sessions are best conducted on their Amritapuri campus, in which participants are able to utilize their fully equipped laboratories.
In addition to disaster risk management, NAM CSSTC and Amrita Vishwa Vidyapeetham explored opportunities for collaboration in applying Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning technologies. These initiatives seek to increase the technological capacity and innovation of NAM member states, thereby supporting the NAM CSSTC’s missions of promoting sustainable development and resilience in the Global South. (Aulia Luthfi Firdaus).
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