The Camille and Henry Dreyfus Foundation has announced the establishment of the Dreyfus Program for Machine Learning in the Chemical Sciences and Engineering. The goal of this program is to further the understanding and applications of machine learning throughout the chemical sciences, thereby providing new opportunities. The deadline for proposal submissions is April 2, 2020. Awardees will be notified in early August 2020.
This program is open to academic institutions in the states, districts, and territories of the United States that grant a bachelor’s or higher degree in the chemical sciences, including biochemistry, materials chemistry, and chemical engineering. Principal investigators are limited to one proposal annually. Awards are not made directly to individuals.
Dreyfus encourages proposals to significantly stimulate and accelerate the development of the use of machine learning and other related aspects of data science to the chemical sciences and engineering. Below are some examples of areas this program may support:
- molecular synthesis, including mechanisms, techniques, and applications
- theory, computation, physical properties of molecules or materials
- rates and mechanisms of new chemical processes
- new or improved materials and materials applications
- postdoctoral support for collaborations that combine chemical science research with machine learning expertise
- collaborative sabbaticals, extended visits, and meetings
- education, e.g., new courses, seminar series, MOOCs
- public libraries of chemistry and chemical engineering data for use in machine learning
Note that proposals are not restricted to only these areas. More information can be found at the links above. The Grants Office would be happy to assist you with your proposal. Please contact Bridget Wiffin for assistance.