Making a Big Impact in Sustainability Science with Big Data

@machinelearnbot 

Issues in sustainability science are increasingly being addressed using "big data" and data analytics. Data rich modeling techniques can assist in improving systems thinking to integrate business operations, people, ecosystems and climate. The result can be improved decision making, greener supply chains and optimization of business operations -- all leading to increased corporate profits and important social benefits. The ultimate goal of big data science is to foster economic development, improve social livelihoods, and enhance environmental quality. Join SSF and leaders from Chatmine Technologies and Boston University in a free webinar demonstrating the application of computational modelling of natural and social processes to identify patterns, trends, and associations that can inform sustainability decision making.