Perform research on projects related to Corporate Sustainability, ESG and the UN Sustainable Development Goals, and aspects related to corporate strategy, impact investing, sustainable finance and reporting. --Identify, web scrape and clean structured and unstructured data (text-based, official sources, open source satellite data, etc.) related to sustainability, biodiversity, and climate from multiple sources --Develop a taxonomy map with keywords, paired keywords, sentences and quantitative units associated with the top sustainability frameworks --Use supervised and unsupervised machine learning techniques to expand the sustainability taxonomy, and identify relevant content from large files --Develop guides for corporate and investment sustainability strategies --Apply statistical, ML techniques and Bayesian approaches to analyze inter-linkages between multiple sustainability topics based on the normalized time series --Implement a database and data-driven dashboards with sustainability-related data --Analyze and map the similarities between the most important regulations in the area of corporate sustainability and ESG, including the new European Union Sustainable Finance Disclosure Regulation (SFDR), the IFRS Int'l Sustainability Standards Board (ISSB), and the UN SDGs taxonomies. --Map the ecosystem of grants, crowdsourcing and other options in the areas of AI and data-driven sustainability, and develop a fundraising strategy