All Climate Events

Wednesday, October 16, 2019. 1:15PM. Webinar: How Big Data Can Quantify Community Social and Climate Risks – from neighborhoods to country levels. Suchi Gopal and Josh Pitts, Chatmine. Sponsored by Security and Sustainability Forum. More information here. 

Currently, community risk analysis includes only a few large-scale parameters, such as extreme weather, employment rates, and business outlooks. The current practice is to generate a single standard Environmental, Social and Governance (ESG) score for a country or region, which does not consider significant sub-national spatial differences or the differential importance of ESG factors in estimating the risk profile. The results are general assessments that lack the granular precision required to support investment-grade analyses.

Now the world of big data opens the door to include real-time, local factors that indicate equally important threats to community well-being.  Poverty rates, education attainment, food insecurity, English fluency, greenspace, medical providers, air and water quality, and other ESG factors can now be captured at the neighborhood level and used to more thoroughly evaluate the stability, resiliency and economic vitality of a community. Application of big data at the neighborhood level is an emerging field of analysis. Who should care? Municipalities, investors, philanthropies, corporations, and others that routinely rely on risk analysis to make investment, planning and community well-being decisions.