Wikipedia

Artificial Intelligence for Environment & Sustainability

Artificial Intelligence for Environment & Sustainability (ARIES) is an international non-profit research project hosted by the Basque Centre for Climate Change (BC3) headquartered in Bilbao, Spain.[1] It was created to integrate scientific computational models for environmental sustainability assessment and policy-making,[2][3][4] through ecoinformatics.[5]

Technology and applications

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ARIES seeks to integrate scientific data and models that simulate environmental and socioeconomic systems to address linked scientific modelling problems,[6] through semantics (computer science),[7] FAIR data and models,[8] and an open-source software infrastructure called Knowledge Laboratory (k.LAB) to semantically describe, code, and distribute data and models for end-users, modellers, and network administrators.[9]

ARIES currently includes two web-based applications: the k.Explorer[10] and the ARIES for SEEA Explorer.[11][12] Released in Fall 2018, k.Explorer is an interface that allows non-technical users to run sophisticated models.[13] The ARIES for SEEA Explorer was released in April 2021 by BC3 in collaboration with the Statistics Division of the United Nations Department of Economic and Social Affairs (UN DESA) and the United Nations Environment Programme (UNEP) for rapid, standardized and customizable natural capital accounting.[14][15] Shortly following the adoption of the System of Integrated Environmental and Economic Accounting (SEEA) Ecosystem Accounting standard by United Nations in March 2021,[16] the ARIES for SEEA Explorer was made available on the UN Global Platform in order to accelerate SEEA's implementation worldwide.[17][18][19]

History and partners

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The ARIES Project started in April 2007 at the Gund Institute for Ecological Economics of the University of Vermont, United States, sponsored by a $1M grant from the U.S. government's National Science Foundation.[20] A prototype of the model building system was developed over the following year, and a functional prototype was made available online in 2012.[21] Since 2010, the project has been based at BC3, where the technology has continued developing ever since.[22] Since 2013, the ARIES team has held the International Spring University (ISU) on Ecosystem Services Modelling,[23] an annual intensive modelling school for scientists and policy analysts working in the environmental sustainability field.[24]

ARIES is led from a global hub at BC3 in collaboration with Ca' Foscari University of Venice, the Global Change Research Centre, HydroloGIS Environmental Engineering, IHCantabria, the Institute of Materials and Systems for Sustainability of Nagoya University, the Inter-American Development Bank (IDB), UN DESA, the University of Udine, and the United States Geological Survey (USGS).

References

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  1. ^ Models and Tools, bc3research.org
  2. ^ ARIES (ARtificial Intelligence for Ecosystem Services): a new tool for ecosystem services assessment, planning, and valuation., bioecon-network.org/
  3. ^ A guide to models and data, un.org
  4. ^ Villa, Ferdinando; Bagstad, Kenneth J.; Voigt, Brian; Johnson, Gary W.; et al. (13 March 2014). "A Methodology for Adaptable and Robust Ecosystem Services Assessment". PLOS ONE. 9 (3): e91001. Bibcode:2014PLoSO...991001V. doi:10.1371/journal.pone.0091001. PMC 3953216. PMID 24625496.
  5. ^ Villa, Ferdinando; Ceroni, Marta; Bagstad, Ken; Johnson, Gary; Krivov, Sergey (2009-01-01). "ARIES (ARtificial Intelligence for Ecosystem Services): A new tool for ecosystem services assessment, planning, and valuation". ResearchGate. Retrieved 2022-01-23.
  6. ^ Barry, Katie (2016-04-29). "Paying for rainforests: current PLoS research on the economic valuation of ecosystem services". PLoS Blog.
  7. ^ Villa, Ferdinando; Athanasiadis, Ioannis N.; et al. (11 December 2008). "Modelling with knowledge: A review of emerging semantic approaches to environmental modelling". Environmental Modelling & Software. 24 (5): 577–587. doi:10.1016/j.envsoft.2008.09.009. ISSN 1364-8152.
  8. ^ Wilkinson, Mark D.; Dumontier, Michel; Aalbersberg, IJsbrand Jan; Appleton, Gabrielle; et al. (15 March 2016). "The FAIR Guiding Principles for scientific data management and stewardship". Scientific Data. 3: 160018. Bibcode:2016NatSD...360018W. doi:10.1038/sdata.2016.18. OCLC 961158301. PMC 4792175. PMID 26978244.
  9. ^ An interoperability strategy for the next generation of SEEA accounting un.org
  10. ^ k.Explorer github.com
  11. ^ ARIES for SEEA un.org
  12. ^ Gonzalo, Marilín (2021-06-09). "Inteligencia Artificial para calcular la contribución de la naturaleza al bienestar económico". Newtral.
  13. ^ ARtificial Intelligence for Ecosystem Services (ARIES) govt.nz
  14. ^ Artificial intelligence saving the natural world un.org
  15. ^ Alonso, Tania (2021-07-06). "¿Cuánto contribuye la naturaleza a nuestra prosperidad económica? La IA nos ayuda a medirlo". Nobbot.
  16. ^ UN adopts landmark framework to integrate natural capital in economic reporting un.org
  17. ^ UN launches the first artificial intelligence tool for rapid natural capital accounting unep.org
  18. ^ UN launches AI tool to measure ecosystems of countries gov.in
  19. ^ Calero, Juan (2021-06-01). "ARIES for SEEA: la tecnología desarrollada en Vizcaya y adquirida por la ONU que calcula la contribución de la naturaleza al bienestar". InnovaSpain.
  20. ^ "Award Abstract # 0640837 Project ARIES: An Integrated Digital Collaboratory to Support the Economic Valuation of Ecosystem Services". National Science Foundation. Division of Biological Infrastructure. Retrieved 23 January 2022.
  21. ^ “AI and Spain’s climate change and decarbonisation agenda” Report digitalfuturesociety.com
  22. ^ "Aries Project Archives". B3info. B3Research. Retrieved 23 January 2022.
  23. ^ ISU 2019 bc3research.org
  24. ^ Larrauri, Eva (2013-03-24). "Tenemos que aprender la manera de vivir con menos". El País.
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