research-article

Computational Agroecology: Sustainable Food Ecosystem Design

Authors:

Barath Raghavan,

Sarah T. Lovell,

Bill Tomlinson,

Donald J. PattersonAuthors Info & Claims

CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 423 - 435

https://doi.org/10.1145/2851581.2892577

Published: 07 May 2016 Publication History

Abstract

We propose a new domain for sociotechnical system design: creating new ecosystems for food production that are sustainable while producing high yields. Drawing on the field of agroecology, we discuss techniques for allowing a range of users to design sustainable food ecosystems that can overcome the environmental costs of industrial agriculture. Industrial agriculture, relying on declining reserves of fossil fuels and generating increasingly costly externalities, is unsustainable. Agroecology cannot scale until practitioners have access to detailed knowledge of local conditions and appropriate agricultural strategies. This paper reviews the agricultural and sustainability challenges that motivate our research. It describes design problems that must be addressed to scale agroecology. We discuss our initial work, and sketch a program of research we believe will contribute to global food security.

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Index Terms

Computational Agroecology: Sustainable Food Ecosystem Design
1. Human-centered computing

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cover image ACM Conferences

CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2016

3954 pages

ISBN:9781450340823

DOI:10.1145/2851581

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Jofish Kaye
Yahoo
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University of Maryland / National Park Service
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Program Chairs:
Cliff Lampe
University of Michigan
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Dan Morris
Microsoft
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Juan Pablo Hourcade
University of Iowa

Copyright © 2016 ACM.

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Published: 07 May 2016

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CHI'16: CHI Conference on Human Factors in Computing Systems

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Doggett ORatto MChandra P(2024)Migrant Farmworkers' Experiences of Agricultural Technologies: Implications for Worker Sociality and Desired ChangeProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642263(1-23)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642263
Scopelliti GPouyanrad SNoorman JAlder FBaumann CPiessens FMühlberg J(2023)End-to-End Security for Distributed Event-driven Enclave Applications on Heterogeneous TEEsACM Transactions on Privacy and Security10.1145/359260726:3(1-46)Online publication date: 26-Jun-2023
https://dl.acm.org/doi/10.1145/3592607
Grimal Ldi Loreto ITroussier N(2023)Le désalignement de valeurs dans les interactions : une opportunité pour l'IHM soutenableProceedings of the 34th Conference on l'Interaction Humain-Machine10.1145/3583961.3583964(1-10)Online publication date: 3-Apr-2023
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Runck BStreed AWang DEwing PKantar MRaghavan B(2023)State spaces for agriculture: A meta-systematic design automation frameworkPNAS Nexus10.1093/pnasnexus/pgad0842:4Online publication date: 16-Mar-2023
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Colliaux DGravino PHanappe PTalbot JViot P(2023)Models for the Computational Design of MicrofarmsComplex Computational Ecosystems10.1007/978-3-031-44355-8_9(121-132)Online publication date: 26-Oct-2023
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Rosén ANormark MWiberg M(2022)Noticing the Environment – A Design Ethnography of Urban FarmingNordic Human-Computer Interaction Conference10.1145/3546155.3546659(1-13)Online publication date: 8-Oct-2022
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Bremer CKnowles BFriday A(2022)Have We Taken On Too Much?: A Critical Review of the Sustainable HCI LandscapeProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517609(1-11)Online publication date: 29-Apr-2022
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