IIT Madras & Harvard University researchers develop algorithm to combat poaching- Education News
Researchers from the Indian Institute of Technology (IIT) Madras and Harvard University have developed a Machine Learning algorithm titled ‘CombSGPO’ (Combined Security Game Policy Optimization)
which aims to save wildlife from poaching. It was found by researchers from IIT Madras and Harvard University that the combined and coordinated use of Forest Rangers and drones is an effective method of protecting wildlife from poaching. As both of these resources are limited, researchers have developed this algorithm to provide strategies to protect wildlife from poaching.
The ‘algorithm provides efficient strategies that are more scalable than the ones that were previously created for the same purpose. The jointly developed algorithm functions by handling resource allocation and strategizing patrolling after the extent of available resources has been identified. To undertake this, the algorithm uses data on the animal population in the conserved area, assuming that poachers are aware of the patrolling being done at several sites.
A Game Theory-based model has been created by the researchers, i.e., a theoretical framework for conceiving social situations among competing players. Game Theory is used to anticipate regions where poaching may occur in the context of wildlife protection. These forecasts are based on previous poaching episodes and interactions between poachers and conservationists
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