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Environmental sustainability in basic research: a perspective from HECAP+ (2306.02837v2)

Published 5 Jun 2023 in physics.soc-ph, astro-ph.CO, gr-qc, hep-ph, and nucl-ex

Abstract: The climate crisis and the degradation of the world's ecosystems require humanity to take immediate action. The international scientific community has a responsibility to limit the negative environmental impacts of basic research. The HECAP+ communities (High Energy Physics, Cosmology, Astroparticle Physics, and Hadron and Nuclear Physics) make use of common and similar experimental infrastructure, such as accelerators and observatories, and rely similarly on the processing of big data. Our communities therefore face similar challenges to improving the sustainability of our research. This document aims to reflect on the environmental impacts of our work practices and research infrastructure, to highlight best practice, to make recommendations for positive changes, and to identify the opportunities and challenges that such changes present for wider aspects of social responsibility.

Summary

  • The paper examines environmental sustainability in scientific data management across key sectors like computing, energy, food, and travel, proposing practical solutions.
  • Key solutions cover computing energy efficiency, renewables and plant-based diets, reduced travel emissions, and a circular technology economy.
  • Implementation aims for significant carbon footprint reduction, and the paper challenges existing sustainability assessment frameworks.

An Examination of Sustainability in Scientific Data Management

The document under consideration is a comprehensive paper addressing sustainability in scientific data management and stewardship, reflecting on diverse sectors such as energy, computing, food, travel, technology, and waste. The integration of the FAIR Guiding Principles is noted, providing a structured agenda for sustainable scientific practices.

Overview

The paper systematically divides the transition towards sustainability into distinct sectorial chapters. Each chapter includes a critical evaluation of current practices, identifies challenges, and proposes theoretically grounded and practical solutions.

Computing

The discourse on computing emphasizes energy efficiency, pointing out that power-aware applications and optimizations in scientific clusters and distributed computing could significantly reduce energy consumption. References are made to initiatives such as the Electricity Map by Open Source, which tracks the carbon footprint of computing activities globally. The paper proposes adopting energy-proportional computing as a fundamental design principle.

Energy Sector

The contribution draws from numerous reports, such as the IPCC assessments, to position renewable energy sources as central to sustainable practice. The paper highlights that wind and solar potential could fulfill global energy demands many times over. It notes contrasting views on nuclear energy's role in sustainable transition, documenting both opportunities and drawbacks.

Food and Agriculture

In discussing food systems, the authors underscore the significant environmental impact of animal-based diets as compared to plant-based alternatives, referencing studies that quantify greenhouse gas emissions discrepancies. It suggests dietary shifts as effective mitigation strategies and references institutional case studies where changes in food service reduced emissions.

Travel and Conferences

The document critiques traditional conferencing models contributing to substantial emissions due to air travel, echoing suggestions in recent literature advocating for hybrid or fully virtual conference formats. Empirical studies are cited highlighting the carbon footprint reduction via reduced travel.

Technology and Waste

A strong emphasis is placed on adopting a circular economy in technology, advocating for product life extension, recycling, and sustainable supply chain practices. The necessity of handling electronic waste effectively and reducing the environmental impacts of mining raw materials is underscored.

Implications

The research anticipates significant implications both practically and theoretically. Practically, the implementation of outlined sustainability practices could result in a substantial reduction of the scientific community’s carbon footprint. Theoretically, it challenges existing frameworks and biases in sustainability assessments, encouraging comprehensive evaluations that encompass entire life cycles and intersectoral impacts.

Future Prospects

Speculating on future developments, the paper implies that AI could enhance the efficiency of data management and sustainability practices by optimizing resource allocation and predicting energy consumption trends. The advancing role of AI in automatizing and systematizing sustainable practices across sectors is posited as an area for continued research.

In conclusion, this document presents a detailed analysis of sustainability practices pertinent to scientific data management, offering a resourced perspective backed by substantive empirical and theoretical references. Its propositions foster discourse on sustainability transitions applicable to a wide array of academic and practical settings.

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