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Welcome to SDGLabs.ai – Scientists for Sustainability

SDGLabs.ai is a consortium of scientists aiming to pool their interdisciplinary capabilities to support the development and achievement of the United Nations’ Sustainable Development Goals. Its capabilities reach from Financial Data Science and Machine Learning to SDG domain focused competencies in Climate Transition Engineering, Gender, or Consumer Protection research. Its mission is inspired by Médecins Sans Frontières / Doctors without Borders as it emphasises impartiality and financial independence in its analyses and interpretations,  thereby avoiding corporate capture and political bias. SDGLabs.ai has worked on projects inter alia with the United Nations (Department for Economic and Social Affairs), the International Finance Corporation, the Swedish Foundation for Strategic Environmental Research (Mistra), the Global Legal Entity Identifier Foundation (GLEIF), the German Environmental Agency (UBA),  the German Federal Environmental Foundation (DBU) and the German Ministry for Justice and Consumer Protection (BMJV).

Recent posts

Webcrawler for SustFin GER

The software system we have developed is currently used to check the sustainability reporting of 2,900 German companies on a weekly basis. The companies include banks, insurance companies, holding companies and companies with the business fields of banking and investment services. The following chart shows the current results.

LinkedIn Posts

SDG Attention Index

The SDG Attention Index is a research project to measure public attention with respect to specific Sustainable Development Goals. It is possible to choose attention data for multiple languages for a specific SDG.

Projects

Net Zero Zone
For everyone committed to achieving net zero #GHG emissions by latest 2050. An @sdglabs
initiative.
SustFin GER
Auf dem Weg zu einer nachhaltigen Finanzwirtschaft: Empirische Grundlagen, Methoden und Instrumente
Complete Carbon Visibility
Complete Carbon Visibility (CCV) ist eine Sektor-spezifische Methodik für die Extrapolation von CO2-Emissionen. 

Deep Data Delivery Standard

Deep data sets are expected to be delivered …
  1. .. with a minimum of 5 years historical data on at least 30 independent indicators per data set (e.g. credit rating, ESG data) whereby any data point that is not delivered as reported at the respective point in time should be flagged as backfilled;
  2. … with 98% value weighted market coverage, where a market (e.g. equity index) is claimed to be covered;
  3. … with an assurance that ratings will be … Continue reading Deep Data
Deep Data
Deep Data Delivery Standard ist ein Qualitätsstandard für Deep Data. 

Investment Innovation Benchmark

Key Aims of the IIB project

The Investment Innovation Benchmark (IIB) project aims to enhance the incentives for innovation among investment professionals and thereby induce the regenerative functions of financial markets to create a more sustainable financial system for the beneficiaries of pension funds and anyone else. The IIB project envisions to achieve this ambition through. … Continue reading Investment Innovation Benchmark

Investment Innovation Benchmark
The Investment Innovation Benchmark (IIB)  project aims to enhance the incentives for innovation among investment professionals and thereby induce the regenerative functions of financial markets to create a more sustainable financial system for the beneficiaries of pension funds and anyone else 
NDC: The Cost of Natural Capital
International Finance Corporation (World Bank) & Natural Capital Finance Alliance Scoping Study on the Business and Investment Case for Natural Capital

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