Our Projects
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"
Steve McFeely
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) 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 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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Closing the gap in official statistics and eliminating self-reported bias in SDG benchmarking data.
Our dataset is the only proxy available for governments to measure the corporate reporting SDG indicator, as well as on how countries are progressing toward achieving their national policy goals. Our data also eliminates self-reported bias, as shown in the charts below:
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Rating Corporate Transparency
As a result of our partnership with UNCTAD-ISAR on the SDG indicator 12.6.1 – regarding corporate sustainability reporting – we are uniquely positioned to provide corporate “transparency” ratings based on the UNCTAD-ISAR Global Core Indicators.
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Infrastructure Match-Making
The Global Algorithmic Institute at GlobalAI has implemented an SDG Infrastructure Projects-Investors Matchmaking Platform designed to systematically match infrastructure projects with institutional investors. The system uses machine learning with a data-driven approach to promote the mobilization of private investment for the SDGs. It is designed to to help close the multi-trillion dollar financing gap required to reach the SDGs.
This platform can add value to the GISD and supplement the SDG Investment Fair by contributing to increase the number of potential Project-Investor matches through the following features:
Showcase Investment Projects 24x7x365
The platform provides a central online location for countries to showcase their investment projects to global investors all year round, including before, during and after the SDG Investment Fair.
Deliver Project Specs in the Format Required by Investors
Projects will be showcased with information in the format required by investors, including both financial and sustainability information using SDG metrics.
Increase Access to Project Specifications
Platform will be made available to investors attending the SDG investment fair and those from networks representing trillions of dollars in Assets under Management, including the UN PRI and others.
Country-Investor Collaboration
Countries can collaborate online with investors to resolve regulatory and policy obstacles that are hindering private investments.
Identify Where Policy Changes Are Needed
The system will provide analytics derived from investor’s survey data, making it possible to determine that a given policy or regulation in a certain country is blocking X billions in potential private investments towards infrastructure and other SDG projects.
Project-Investor Match-Making
Based on information provided about investment projects and the investor’s profiles, the system will match both investors and projects systematically.
Information Support for Investors
The system will enable investors to search for investment projects based on their characteristics. Supplementary analytics and alternative data will help investors make more informed risk/return impact decisions and incentivize private sector capital flows.
Track SDG Investment Impact
System will use surveys to track SDG impact metrics over time after projects and investors have been matched and deals have been completed.
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.