Researchers from IIT Madras, Harvard University develop algorithm to tackle poaching

IIT Madras and Harvard University researchers have developed an algorithm to combat poaching.

Researchers from the Indian Institute of Technology (IIT) Madras and Harvard University have come up with a Machine Learning algorithm titled ‘CombSGPO’ (Combined Security Game Policy Optimization) with the potential to aid in saving 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.

Due to both of these resources being limited, researchers have developed this algorithm to provide strategies to protect wildlife from poaching.

The ‘CombSGPO’ algorithm provides efficient strategies that are more scalable than ones that was previously created for the same purpose.

The jointly developed ‘CombSGPO’ algorithm functions by handling resource allocation and strategising 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.

This algorithm uses a Game Theory-based model 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.