Impact Funding Resources
Data-driven solutions for devices sustainability: Optimizing manufacturing and use phase impacts.
At the forefront of sustainable device technology advancement, we seek proposals that help optimize device life cycle energy consumption and product carbon footprint through innovative technical solutions. Of particular interest are projects that illustrate measurable impact reduction in device manufacturing phase through supply chain decarbonization innovations or use phase through energy efficient compute or AI-assisted optimization techniques. The proposed solutions should demonstrate clear potential for industry-wide adoption and include comprehensive validation methodologies for measuring and verifying associated carbon impact reductions.
At the forefront of sustainable device technology advancement, we seek proposals that help optimize device life cycle energy consumption and product carbon footprint through innovative technical solutions. Of particular interest are projects that illustrate measurable impact reduction in device manufacturing phase through supply chain decarbonization innovations or use phase through energy efficient compute or AI-assisted optimization techniques. The proposed solutions should demonstrate clear potential for industry-wide adoption and include comprehensive validation methodologies for measuring and verifying associated carbon impact reductions.
End Date12 Nov 2025 Funding AmountUpto USd 500k Funding Resource TypeResearch Grant
Funding ProviderAmazon Science
Research Grant
Amazon Science
At the forefront of sustainable device technology advancement, we seek proposals that help optimize device life cycle energy consumption and product carbon footprint through innovative technical solutions. Of particular interest are projects that illustrate measurable impact reduction in device manufacturing phase through supply chain decarbonization innovations or use phase through energy efficient compute or AI-assisted optimization techniques. The proposed solutions should demonstrate clear potential for industry-wide adoption and include comprehensive validation methodologies for measuring and verifying associated carbon impact reductions.
Eligibility Requirements
To be eligible for an ARA Program award (“Award”), the Principal Investigator must be
(1) either a full-time faculty member at an accredited academic institution or a permanent researcher at a non-governmental organization with recognized legal status in its country (equivalent to 501(c)(3) status under the United States Internal Revenue Code) and
(2) at or above the age of majority in their jurisdiction of residence at the time of application. Each Principal Investigator is permitted to submit only one proposal to the ARA Program per call for proposal period.
By submitting your proposal to the ARA Program, you represent that your Principal Investigator:
(a) is not a paid employee of a government entity (other than an accredited academic institution);
(b) is not under US export controls or sanctions;
(c) has not been a director, officer, employee, intern or contractor of Amazon within the 12 months preceding submission of your proposal to the ARA Program (“Ineligible Personnel”);
(d) is not a member of the immediate family or household of Ineligible Personnel; and
(e) has not participated in or had decision-making authority over any cloud infrastructure procurements involving Amazon.
Proposals will be reviewed by a panel of experts in machine learning, LCA, and sustainability. Proposals will be evaluated on the following:
• Immediate and sizeable impact on carbon abatements (i.e., reducing greenhouse gases)
• Practicality and scalability of the solutions that can support measurement validations
• Feasibility and clarity of the proposed approach
• Potential for widespread adoption and implementation
• Feasibility to open source
