The project aimed to streamline Prime Coalition’s workflow to assess the climate impact potential of ventures seeking funding from Azolla Ventures. Azolla, founded by Prime, supports ventures working on transformative climate solutions with catalytic capital. The primary objective was to create a robust, user-friendly template for quantitative climate impact analysis, incorporating advanced features like sensitivity analysis, scenario modelling, and optimization techniques.
To accomplish this, the project started by interviewing stakeholders to understand their specific needs and assessing current analytical tools. The initial focus was on identifying stakeholder requirements, then breaking down existing workflows and creating reusable custom functions with Python. Platforms like Google Colab and Deepnote were recommended to allow accessible, flexible collaboration across various systems and to make executing and sharing analyses easier. Key functions developed included models for market penetration and growth, data visualization tools, and evaluation functions for diverse climate impact scenarios.
The primary deliverable was a fully modular analysis template featuring custom functions for evaluating greenhouse gas (GHG) impacts. This included comprehensive documentation and training materials. The project also offered user interface recommendations to make the template accessible to both technical and non-technical users.
Notebook interfaces of Deepnote and Google Colab / Felix Schwebel
The impact of this work lies in enhancing the efficiency, accessibility, replicability, and accuracy of climate impact analysis. This advancement enables Prime Coalition and Azolla Ventures to more effectively assess and invest in solutions with the potential to substantially reduce or remove greenhouse gas emissions.
