GREENER principles for environmentally sustainable computational science

Area of Science:

• Computational Science
• Environmental Science
• Computer Science Sustainability

Background:

• The substantial carbon footprint of scientific computing presents environmental challenges.
• Environmentally Sustainable Computational Science (ESCS) is an emerging field with significant potential.
• Addressing these challenges requires a coordinated approach to foster sustainable growth.

Purpose of the Study:

• To provide a current overview of the state of Environmentally Sustainable Computational Science (ESCS).
• To introduce the GREENER principles for sustainable computational practices.
• To offer guidance on best practices for environmentally conscious computing in science.

Main Methods:

• Literature review and synthesis of current ESCS landscape.
• Development and presentation of the GREENER principles.
• Formulation of actionable best practices for the scientific community.

Main Results:

• ESCS is a nascent field with substantial opportunities for development.
• The GREENER principles offer a framework for sustainable computational science.
• Identified key areas for improvement: awareness, transparency, impact estimation, and reporting.

Conclusions:

• A coordinated approach is essential for the sustainable growth of computational science.
• Implementing the GREENER principles and best practices can mitigate environmental impacts.
• Increased awareness and transparent reporting are crucial for advancing ESCS.