Skip to main content
SpringerLink
Log in

Using computational tools to monitor and improve access to quality food and water

  • Comment
  • Published:

From Nature Computational Science

View current issue Submit your manuscript

Progress towards universal access to safe drinking water and nutritious food has been moving forward at a slower than desired rate. Computational tools can help accelerate progress towards these goals, but solutions need to be open source, and designed, developed and implemented in a participatory manner.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Global Report on Food Crises 2023 (WFP, 2023).

  2. State of the World’s Drinking Water: An Urgent Call to Action to Accelerate Progress on Ensuring Safe Drinking Water for All (World Health Organization, 2022).

  3. IPCC Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (eds Pörtner, H.-O. et al.) (Cambridge Univ. Press, 2022).

  4. Walter, A., Finger, R., Huber, R. & Buchmann, N. Proc. Natl Acad. Sci. USA 114, 6148–6150 (2017).

    Article  Google Scholar 

  5. Xiong, H., Dalhaus, T., Wang, P. & Huang, J. Front. Blockchain 3, 7 (2020).

    Article  Google Scholar 

  6. Laber, M., Klimek, P., Bruckner, M., Yang, L. & Thurner, S. Nat. Food 4, 508–517 (2023).

    Article  Google Scholar 

  7. Victor, B., He, Z. &. Nibali, A. Preprint at https://arxiv.org/abs/2210.01272 (2022).

  8. Martini, G. et al. Nat. Food 3, 716–728 (2022).

    Article  Google Scholar 

  9. Andree, B. P. J., Chamorro, A., Kraay, A., Spencer, P. & Wang, D. Predicting Food Crises (The World Bank, 2020).

  10. Donkor, E. A., Mazzuchi, T. A., Soyer, R. & Roberson, J. A. J. Water Resour. Plan. Manag. 140, 146–159 (2014).

    Article  Google Scholar 

  11. Akkem, Y., Biswas, S. K. & Varanasi, A. Eng. Appl. Artif. Intell. 120, 105899 (2023).

    Article  Google Scholar 

  12. Vinuesa, R. et al. Nat. Commun. 11, 233 (2020).

    Article  Google Scholar 

  13. Food Waste Index Report 2021 (United Nations Environment Programme, 2021).

  14. Harvey, J., Smith, A., Goulding, J. & Illodo, I. B. Ind. Mark. Manag. 88, 437–448 (2020).

    Article  Google Scholar 

Download references

Acknowledgements

The author would like to thank all of her collaborators for the fruitful discussions.

Author information

Authors and Affiliations

  1. Department of Network and Data Science, Central European University, Vienna, Austria

    Elisa Omodei

Authors
  1. Elisa Omodei
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Elisa Omodei.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Omodei, E. Using computational tools to monitor and improve access to quality food and water. Nat Comput Sci 3, 726–728 (2023). https://doi.org/10.1038/s43588-023-00502-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s43588-023-00502-6

  • Springer Nature America, Inc.

Search

Navigation