The Clean Fuels Alliance Foundation is now accepting applications for the Beth Calabotta Sustainability Education Grant. Established in 2018, the grant aims to support student scientists dedicated to sustainable research offering a $2,000 award to a deserving recipient.
Applicants have the opportunity to highlight their involvement in various topics including biodiesel and renewable diesel research, development related to feedstock and fuel production, environmental attributes and general energy studies.
“This grant helped me continue in the development of a novel biodiesel process,” said Caleb Moellenhoff, a previous recipient. “I believe biodiesel will revolutionize the industry through its superior sustainability, efficiency and practicality. I was very thankful and excited for this opportunity.”
To qualify for the grant, students must complete an online application and include a letter of recommendation. If selected, the recipient must commit to participating in Clean Fuels Alliance America’s Sustainability Workshop scheduled for April 8-9, 2025, in Kansas City, Missouri. Grant funds should be utilized for travel and attendance of the workshop, with the remaining funds applied to academic expenses. Full eligibility requirements and criteria are listed in the online application.
We encourage all passionate student scientists interested in sustainability to apply for this unique opportunity. The deadline for applications is Friday, January 17, 2025. The winner will be announced in February 2025.
About the Beth Calabotta Sustainability Education Grant
Beth had an unquenchable love for agriculture and life sciences. Later in her career, Calabotta’s efforts focused almost solely on the development of biofuels as viable energy alternatives to conventional fuels. Based on Calabotta’s work, the Foundation and the Clean Fuels Alliance America Governing Board want to continue building on the idea that adopting innovative technologies and diversifying markets will produce environmental benefits that can be documented through research and data.
