Meaningful progress towards achieving the 17 SDGs by 2030 depends on accurate data for benchmarking and reporting.
The Global Algorithmic Institute at GlobalAI Co.
"It's time to harness the work and intellectual creativity of those outside the official statistics tent"
Chief Statistician of the UNCTAD Statistics Division
A Platform to Align Private Sector Sustainability Reporting with the SDGs
Through an open and competitive process, the Global Algorithmic Institute at GlobalAI Co. was selected by the United Nations Conference on Trade and Development (UNCTAD) and the United Nations Development Programme (UNDP) to provide the Big Data technology expertise and infrastructure to aggregate and create a repository for SDG data.
This repository focuses on firm-level, private-sector data, to be used for official purposes. Our work advances the reporting requirements of SDG target 12.6, which requires Member States to encourage companies, especially large and transnational companies, to adopt sustainable practices and to integrate sustainability information into their reporting cycle.
What Our Platform Enables
Benchmarking the SDGs
The biggest challenge with delivering on the SDGs is a lack of data. Clear, accurate data is necessary to benchmark progress on the SDGs and inform policymaking, corporate strategy and investing. Working with UNEP and UNCTAD, the Global Algorithmic Institute at GlobalAI aggregates data by region on achieving the 17 SDGs by 2030. The Institute’s data fills the gap in official data collection, analysis and reporting, enabling accurate benchmarking on achieving the SDGs.
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How it works
The Institute uses state-of-the-art Big Data and Artificial Intelligence to digest and analyze structured and unstructured data from more than 100,000 sources across more than 60 languages and 150 countries around the world.
Using Big Data and AI, our SDG scores incorporate both self-reported and alternative unstructured data. The data we draw on includs news reports, social media, regulatory filings, government reports, blogs, twitter, industry-specific publications, sustainability reports, NGOs, and other resources. Our processes replace dated, slow and expensive manual processes used for sustainability and materiality analysis.