Who won: Improving Environment Data

About this contract

The National Lottery Community Fund want to better understand and communicate the wide range of activities that community organisations undertake that benefit the environment. This project will establish a sound foundation from which we can generate quality data about the environment projects we fund. An external supplier (possibly a partnership of specialist expertise) is being procured to work with our Evidence and Impact Team and others in the Fund. It will combine two related (but distinct) workstreams into one project for efficiency and synergies: A. Environment Projects Typology - This will establish a common Proof of Concept (PoC) typology for the types of environmental projects that we fund. This work will: review, further develop, and test our typology(s) of environmental projects using machine learning (AI) that classifies the nature of the work we receive applications for and support, and proposes a sound typology for the future, including considerations on how we use and improve it in the short and medium terms. B. Improve Climate Action Fund (CAF) programme monitoring data - This will create a Monitoring Framework that works for the current CAF funded

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• ✓Answer against the marking scheme, not the question text — The National Lottery Community Fund scores each response, so map your evidence to the published criteria and weightings.
• ✓At £74,937, expect quality and social value to carry a large share of the score — price alone rarely wins services work.
• ✓Show recent, comparable delivery: name similar services contracts you've delivered for public bodies, with measurable outcomes.
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