problem statements

Data Collection, Verification and Sharing

Presently, there is a perception of information asymmetry in the collection and sharing of environmental data to support environmental risk analysis (ERA). This stems from both a lack of consistent data methods and disclosure regimes, and a limited verification of self-reported returns which negatively affect confidence in the reliability of aggregated data sets. Can technological solutions, such as public web-scraping tools, blockchain, IoT, smart sensors and GPS and other kinds of non-traditional reporting data, contribute to a disclosure ecosystem that supports all stakeholders i.e. achieving timely, transparent and verifiable disclosure (including impact measurement and reporting), while reducing the disclosure workload and costs for corporates and other reporting entities and respecting data privacy policies in individual countries? Can technological solutions also be deployed to aid in better capturing and structuring relevant climate-related (meta)data digitally including through a ‘rulebook’ that showcases how rules and data requirements can be delivered as code in a consistent, high quality, transparent, comparable and standardised way, so as to enhance ERA?

For more information please check this resource pack.

Better connecting projects and investors

New technologies can support project promoters such as small and medium size businesses, start-ups or even local authorities to raise funds for sustainable projects, while at the same time enhancing transparency and opportunities for investors to finance a bigger pool of sustainable projects. Additionally, smallholders (e.g. individual farmers) and small commercial businesses and households may be marginalized financially and fail to benefit from green financing opportunities. Can technological solutions (e.g., digital identity verification, demand aggregation platforms, large scale, and easily accessible trading platforms) help connect projects and investors to scale up their impact in a secure way while respecting data privacy policies in individual countries? Can technological solutions also be used to effectively track platform performance and outcomes in terms of volume and quality of credit allocation and environmental impact and be deployable across geographies and different states of development?

For more information please check this resource pack.