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Panel Session 2: “Harnessing Data Technologies for Effective Implementation in Disaster and Forest Management”

Panel Session 2: “Harnessing Data Technologies for Effective Implementation in Disaster and Forest Management”

The next instalment of the esteemed Hyper Interdisciplinary Conference is set to feature a broad discussion on leveraging technologies against natural disasters. One session to note, titled “Harnessing Data Technologies for Effective Implementation in Disaster and Forest Management,” will explore the role of advanced monitoring technologies in protecting our environment.

Under this innovative topic, the session is coming to the forefront as a collaborative effort between two leading Japanese organisations, Pioneer Corporation and S.T. Corporation. These organisations have already proven to be game-changers in the field with their collaborative work on the LVNS Forest Project.

Three distinguished experts from the National Water Research Institute of Malaysia (NAHRIM),Institute Of Tropical Forestry And Forest Product (INTROP), Universiti Putra Malaysia and Weststar Aviation Group are slated to represent this collaboration, sharing their expert outlooks and wealth of experienced perspectives in their respective fields.

The session aims to delve deep into the intertwine of forest management and disaster implementation, made more effective through the utilisation of data technologies. At the heart of the discussion lies the crucial role of real-time data collection methods to monitor environmental indicators, particularly in forest areas and during disaster management.

Participants can anticipate a deep dive into the significance of integrating machine learning and artificial intelligence in enhancing predictive capabilities. This session will underline the role of technology in enabling swift decision-making and efficient resource allocation for forest planning which would greatly prove useful during disasters.

For more information about the Hyper Interdisciplinary Conference and this timely session, please visit https://hic.lne.st/schedule/my2024/