Sustainable AI Research Initiatives

The first publicly accessible, integrated U.S. database tracking AI data centers across energy consumption, water usage, carbon emissions, and 37+ data dimensions per facility.

101 actionable pathways for embedding sustainability across every layer of AI, from energy efficiency and emissions to water, society, and eWaste. Developed to help organizations act on the environmental and ethical costs of AI before optimization debt becomes a systemic crisis.

A personalized digital carbon footprint calculator that translates daily technology habits - streaming, email, cloud storage, gaming, and virtual meetings - into estimated CO₂ emissions. Maps user behavior to global data on data center energy, network transmission, and device lifecycle impact to make the hidden cost of digital living visible.

An interactive calculator that estimates the ecological cost of cryptocurrency holdings and transactions, differentiating between consensus mechanisms - Proof of Work, Proof of Stake, and hybrid models. Incorporates grid emissions intensity, hardware efficiency, and transaction volumes to deliver transparent, context-aware carbon footprint assessments.

A scalable, data-informed model for measuring developer productivity in large enterprise IT teams - moving beyond misleading metrics like lines of code toward a fair, context-aware score that correlates with meaningful impact. Evaluates developers across multiple data dimensions and productivity tiers to reduce subjectivity and operational inefficiency.

A Framework for Environmental and Social Accountability — editorial workspace for chapter assignments, confidentiality management, and coordinating the review of 17 chapters examining AI's hidden environmental and social costs.

An edited volume bringing together leading researchers and practitioners to document how artificial intelligence is accelerating progress across the UN Sustainable Development Goals - from climate action and clean energy to health equity, education access, and responsible governance. Each chapter presents a peer-reviewed case study grounding AI impact in evidence, methodology, and real-world deployment context.

A curated repository of research, tools, code, libraries, and training for building applications that emit less carbon - spanning Sustainable IT, Green AI, and Green Software design. A joint initiative between Digital Emissions and the Green Software Foundation, powered by Algolia search and Notion for seamless community contribution.