The complexity surrounding energy and resource extraction and production—and the social systems in which these issues exist—often leads businesses and government institutions to rely on specific and piece-meal solutions to discretized problems. In real life, of course, technical solutions do not always treat the underlying social need for which they were originally intended. The goal of current risk mitigation is to integrate solutions across issues and disciplines to improve the overall standard of living of the world’s population, without wasting the resources that make that standard sustainable.
My primary work applies cutting-edge computational modeling techniques to the many complex questions surrounding sustainable development and social license to operate in energy and resource production, storage, and transmission.
The resource company of 2050 will be vastly different from the company of today. Investors and consumers increasingly expect ethical and transparent extraction and production of resources, which requires companies to be fair and consistent in their dealings with their host communities. My tailor-made data mining, machine learning, and numerical modeling programs help organizations design valid, effective mitigation strategies with vastly reduced time and cost. These tools allow clients to enact effective responses to socio-political risks and build relationships with host communities, satisfying consumer and investor expectations.