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OS-Climate Vision

OS-C is establishing an Open Source collaboration community to build a data and 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.

OS-Climate Goal

As an Open Source collaboration community, our goal is to build analytical tools and a data commons platform which enables the access, generation and structuring of relevant, global datasets.  The platform, data, and tools work in combination to generate vital information that can inform climate-related decision making.

The OS-C platform leverages the latest data federation/data mesh technologies. Our Data Exchange sits on top of this data mesh, facilitating the search and acquisition of data sets and their interconnection into a series of analytics utilities for transition analysis, sector alignment, and physical risk & resilience modelling.  All of our infrastructure and tools are produced at a pre-competitive layer with open source end-to-end models.

In the example of physical risk, OS-Climate aims to gather all relevant climate models in one place and to create a common language around the use of these models.  In particular, we are focused on how they can be applied to measure the vulnerability of assets/regions/countries. Whilst these models support corporations and financial institutions in lending and investment decision making, their application also reaches into the philanthropic space (such as models looking at chronic heat and drought risk).