Complete list of sources cited in SAG25 course materials, formatted in APA 7th edition style.
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Besiroglu, T., Erdil, E., Barnett, M., & You, J. (2024). Hype, sustainability, and the price of the bigger-is-better paradigm in AI. arXiv preprint. https://arxiv.org/abs/2409.14160
Bi, K., Xie, L., Zhang, H., Chen, X., Gu, X., & Tian, Q. (2023). Accurate medium-range global weather forecasting with 3D neural networks. Nature, 619(7970), 533-538. https://doi.org/10.1038/s41586-023-06185-3
Blue River Technology. (2023). See & Spray impact report. John Deere.
Boston Consulting Group. (2024a). AI for climate: The 4% opportunity. Boston Consulting Group.
Boston Consulting Group. (2024b). AI in agriculture: The path to a $500B market. Boston Consulting Group.
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Carbon Disclosure Project. (2024). Tech sector report. CDP.
Carroll, A. B. (1991). The pyramid of corporate social responsibility: Toward the moral management of organizational stakeholders. Business Horizons, 34(4), 39-48. https://doi.org/10.1016/0007-6813(91)90005-G
Crawford, K., & Joler, V. (2018). Anatomy of an AI system: The Amazon Echo as an anatomical map of human labor, data and planetary resources. AI Now Institute and Share Lab. https://anatomyof.ai
DeepMind. (2024). Carbon-intelligent computing. DeepMind.
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European Environment Agency. (2024). Urban freight impact assessment. EEA.
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European Union. (2024a). AI Act: Environmental and social safeguards (Articles 28-30). European Parliament and Council.
European Union. (2024b). Ecodesign for Sustainable Products Regulation. European Parliament and Council.
Evans, R., & Gao, J. (2016). DeepMind AI reduces Google data centre cooling bill by 40%. DeepMind Blog.
FAO. (2024a). Digital agriculture transformation report. Food and Agriculture Organization of the United Nations.
FAO. (2024b). The state of food and agriculture. Food and Agriculture Organization of the United Nations.
Forti, V., Baldé, C. P., Kuehr, R., & Bel, G. (2020). The Global E-waste Monitor 2020: Quantities, flows, and the circular economy potential. United Nations University/United Nations Institute for Training and Research.
Future Earth. (2024). Digital transformation for sustainability. Future Earth.
Fennimore, S. A., & Cutulle, M. (2019). Robotic weeders can improve weed control options. Pest Management Science, 75(7), 1767-1778. https://doi.org/10.1002/ps.5337
Faber-Wiener, G. (2011). CSR und Value Management. facultas.wuv.
Fanning, A. L., & Raworth, K. (2025). Doughnut of social and planetary boundaries monitors a world out of balance. Nature, 646(8083), 47-56. https://doi.org/10.1038/s41586-025-08948-w
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Intel. (2024). Neuromorphic computing progress report. Intel Corporation.
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International Labour Organization. (2024a). Financing a just digital transition. International Labour Organization.
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Jarker/Lokrantz/Azote. Sustainable development visualization graphics.
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Kaack, L. H., Donti, P. L., Strubell, E., Kamiya, G., Creutzig, F., & Rolnick, D. (2022). Aligning artificial intelligence with climate change mitigation. Nature Climate Change, 12(6), 518-527. https://doi.org/10.1038/s41558-022-01377-7
Koomey, J., Masanet, E., & Shehabi, A. (2024). The rebound effect in computing. Science, 383(6681), 428-432. https://doi.org/10.1126/science.adk9480
Li, P., Yang, J., Islam, M. A., & Ren, S. (2023). Making AI less “thirsty”: Uncovering and addressing the secret water footprint of AI models. arXiv preprint. https://arxiv.org/abs/2304.03271
Liu, Y., Zhang, W., Wang, J., Chen, X., Li, H., & Zhao, M. (2025). Can 1B LLM surpass 405B LLM? Exploring parameter-efficient training and deployment. arXiv preprint. https://arxiv.org/abs/2502.06703
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Merchant, A., Batzner, S., Schoenholz, S. S., Aykol, M., Cheon, G., & Cubuk, E. D. (2023). Scaling deep learning for materials discovery. Nature, 624(7990), 80-85. https://doi.org/10.1038/s41586-023-06735-9
Meta. (2024). Sustainability report. Meta Platforms, Inc.
Microsoft. (2024a). Environmental sustainability report. Microsoft Corporation.
Microsoft. (2024b). Water positive progress report. Microsoft Corporation.
Microsoft Research. (2024). Accelerating battery discovery with AI. Microsoft Research.
MIT. (2024). Carbon-storing concrete innovation. Massachusetts Institute of Technology.
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PwC. (2024). Sizing the prize: AI’s economic impact on sustainability. PricewaterhouseCoopers.
Raworth, K. (2017). Doughnut economics: Seven ways to think like a 21st-century economist. Random House Business Books.
Raworth, K. (2018). Doughnut economics: Seven ways to think like a 21st century economist. Chelsea Green Publishing.
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Richardson, K., Steffen, W., Lucht, W., Bendtsen, J., Cornell, S. E., Donges, J. F., Drüke, M., Fetzer, I., Bala, G., von Bloh, W., Feulner, G., Fiedler, S., Gerten, D., Gleeson, T., Hofmann, M., Huiskamp, W., Kummu, M., Mohan, C., Nogués-Bravo, D., … Rockström, J. (2023). Earth beyond six of nine planetary boundaries. Science Advances, 9(37), eadh2458. https://doi.org/10.1126/sciadv.adh2458
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Sakschewski, B., Caesar, L., et al. (2025). The evolution of the planetary boundaries framework. Stockholm Resilience Centre, Stockholm University. [Visualization credit: Azote for Stockholm Resilience Centre]
Science. (2024). Full-stack carbon accounting for digital services. Science.
Stockholm Resilience Centre. (2024). Planetary boundaries update. Stockholm University.
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Steffen, W., Rockström, J., Richardson, K., Lenton, T. M., Folke, C., Liverman, D., Summerhayes, C. P., Barnosky, A. D., Cornell, S. E., Crucifix, M., Donges, J. F., Fetzer, I., Lade, S. J., Scheffer, M., Winkelmann, R., & Schellnhuber, H. J. (2018). Trajectories of the Earth System in the Anthropocene. Proceedings of the National Academy of Sciences, 115(33), 8252-8259. https://doi.org/10.1073/pnas.1810141115
Strubell, E., Ganesh, A., & McCallum, A. (2019). Energy and policy considerations for deep learning in NLP. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 3645-3650). Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1355
T&E. (2024). The real emissions of ride-hailing and delivery. Transport & Environment.
Transportation Research Part D. (2024). E-commerce and urban freight emissions. Transportation Research Part D: Transport and Environment.
Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., Mathis, A., Mathis, M. W., van Langevelde, F., Burghardt, T., Kays, R., Klinck, H., Wikelski, M., Couzin, I. D., van Horn, G., Crofoot, M. C., Stewart, C. V., & Berger-Wolf, T. (2024). Perspectives in machine learning for wildlife conservation. Nature Communications, 13(1), Article 792. https://doi.org/10.1038/s41467-022-27980-y
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Walker, T., Gramlich, D., Schmidpeter, R., & Wendt, S. (Eds.). (2024). Artificial intelligence for sustainability. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-49979-1
Wendt, S., Walker, T., & Schmidpeter, R. (Eds.). (2024). AI for social good: Applications in sustainability and humanitarian action. Springer.
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Zero Waste Europe. (2024). Technology in waste management. Zero Waste Europe.
Last updated: 2025-11-20 This reference list includes all sources cited across SAG25 course materials (Parts 1-3). Total references: 100+