This webinar (originally planned as a roundtable in New York in conjunction with the Investor Summit on Climate Risk and Ceres 2020) will address how open data initiatives and community-based open source models and tools can achieve a breakthrough in closing the $Trillion+ annual gap in investment needed to achieve Paris goals by improving the integration of climate risk and opportunity factors into investing, banking and finance, financial sector supervision, corporate decisions, policymaking, etc.
Bob Litterman and Truman Semans will lead the discussion. Bob is Founder of Kepos Capital, Chair of the Commodity Futures Trading Commission Climate-Related Market Risk Subcommittee, and Vice Chair of WWF. Truman is CEO of OS-Climate, a non-profit initiative under the Linux Foundation developing an open source Data Commons and platform of modeling. They will be joined by:
For more information about the agenda and to RSVP, please click the Register button below. We will send a webinar link to registrants the week April 13.
OS-C is establishing an Open Source collaboration community to build a software platform that will dramatically boost global capital flows into climate change mitigation and resilience.
Through a non-profit, non-competitive organization, OS-C will aggregate the best available data, modeling, and computing and data science worldwide into an AI-enhanced physical-economic model that functions like an operating system, enabling powerful applications for climate-integrated investing in a world where the future will be very different from the past.
The OS-C technology platform will accelerate development of scenario-based predictive analytic tools and investment products that manage climate-related risk and finance climate solutions across every geography, sector, and asset class. The OS-C Open Source organization will enable alignment of the stakeholder community on priority data and modeling needs, focus shared resources on executing those priorities, and accelerate adoption.
Our goal is to rapidly accelerate the shift of global investment away from relatively GHG-intensive and climate-vulnerable companies, technologies, and infrastructure into mitigation, resilience, and adaptation that is financially sustainable and high-impact — especially in developing countries — as well as to enable design of better policy that effectively engages capital markets in addressing climate change.
Can not rigorously quantify the impact of most climate-related factors on risk and return, aside from carbon, energy prices, and a few policy drivers – failing to capture dozens of key variables in technology, public and private policy, resources, consumer and B2B preferences, climate and weather, and the macroeconomy.
Interviews with 120+ representatives of asset owners, asset managers, and investment managers confirm immediate and growing need for better tools, driven by TCFD, France’s Article 172, UNPRI, CERES, shareholder resolutions, etc.
Investors, companies, and governments need to be able to predict the way climate-related changes will interact and affect economies, industries, companies, and assets.
Through Open Source governance, collaboration structures, and licensing, OS-C is developing an AI-enhanced platform to fully integrate climate risk and opportunity factors into investment decision-making and accelerate creation by 3rd Parties of superior investment vehicles.
OPEN SOURCE PHYSICAL-ECONOMIC MODELS
GLOBAL DATA COMPENDIUM & DATA COMMONS
SCENARIO-BASED PREDICTIVE ANALYTICS