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. The webinar will be organized around five case studies focused on integrating multi-scale and multi-source data and applying spatial statistical techniques, artificial intelligence algorithms, and systems modeling to derive business insights and strategies. The presentations will be appropriate for a non-technical audience.

Register here