Rethinking ‘responsibility’ in precision agriculture innovation: lessons from an interdisciplinary research team

Edward Prutzer; Maaz Gardezi; Donna M. Rizzo; Mary Emery; Scott Merrill; Benjamin E.K. Ryan; Panagiotis D. Oikonomou; Juan P. Alvez; Damilola T. Adereti; Rubaina Anjum; Appala R. Badireddy; Dwarika Bhattarai; Skye Brugler; Nicholas Cheney; David Clay; Sharon Clay; Ali Dadkhah; Joshua W. Faulkner; Deepak R. Joshi; Christopher Koliba; John McMaine; Semhar Michael; Sardorbek Musayev; Jarlath O’Neil-Dunne; George Pinder; Taylor Ricketts; Andrew W. Schroth; Scott Turnbull; Asim Zia

doi:10.1080/23299460.2023.2202093

Rethinking ‘responsibility’ in precision agriculture innovation: lessons from an interdisciplinary research team

Edward Prutzer
, Maaz Gardezi
, Donna M. Rizzo
, Mary Emery
, Scott Merrill
, Benjamin E.K. Ryan
, Panagiotis D. Oikonomou
, Juan P. Alvez
, Damilola T. Adereti
, Rubaina Anjum
, Appala R. Badireddy
, Dwarika Bhattarai
, Skye Brugler
, Nicholas Cheney
, David Clay
, Sharon Clay
, Ali Dadkhah
, Joshua W. Faulkner
, Deepak R. Joshi
, Christopher Koliba

John McMaine, Semhar Michael, Sardorbek Musayev, Jarlath O’Neil-Dunne, George Pinder, Taylor Ricketts, Andrew W. Schroth, Scott Turnbull, Asim Zia

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

We examine the interactions, decisions, and evaluations of an interdisciplinary team of researchers tasked with developing an artificial intelligence-based agricultural decision support system that can provide farmers site-specific information about managing nutrients on their land. We answer the following research questions: (1) How does a relational perspective help an interdisciplinary team conceptualize ‘responsibility' in a project that develops precision agriculture (PA)? and (2) What are some lessons for a research team embarking on a similar interdisciplinary technology development project? We show that how RI is materialized in practice within an interdisciplinary research team can produce different understandings of responsibility, notions of measurement of ‘matter,’ and metrics of success. Future interdisciplinary projects should (1) create mechanisms for project members to see how power and privilege are exercised in the design of new technology and (2) harness social sciences as a bridge between natural sciences and engineering for organic and equitable collaborations.

Original language	English
Article number	2202093
Journal	Journal of Responsible Innovation
Volume	10
Issue number	1
DOIs	https://doi.org/10.1080/23299460.2023.2202093
State	Published - 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Funding

This work was supported by National Science Foundation [grant numbers 2202706, 2026431].

Funders	Funder number
National Science Foundation Arctic Social Science Program	2026431, 2202706

Keywords

Responsible innovation
artificial intelligence
interdisciplinary
precision agriculture

ASJC Scopus subject areas

Strategy and Management
Information Systems and Management
Management of Technology and Innovation

Access to Document

10.1080/23299460.2023.2202093

Cite this

Prutzer, E., Gardezi, M., Rizzo, D. M., Emery, M., Merrill, S., Ryan, B. E. K., Oikonomou, P. D., Alvez, J. P., Adereti, D. T., Anjum, R., Badireddy, A. R., Bhattarai, D., Brugler, S., Cheney, N., Clay, D., Clay, S., Dadkhah, A., Faulkner, J. W., Joshi, D. R., ... Zia, A. (2023). Rethinking ‘responsibility’ in precision agriculture innovation: lessons from an interdisciplinary research team. Journal of Responsible Innovation, 10(1), Article 2202093. https://doi.org/10.1080/23299460.2023.2202093

@article{6aebab7da04b4d0cbd4e476439844e25,

title = "Rethinking {\textquoteleft}responsibility{\textquoteright} in precision agriculture innovation: lessons from an interdisciplinary research team",

abstract = "We examine the interactions, decisions, and evaluations of an interdisciplinary team of researchers tasked with developing an artificial intelligence-based agricultural decision support system that can provide farmers site-specific information about managing nutrients on their land. We answer the following research questions: (1) How does a relational perspective help an interdisciplinary team conceptualize {\textquoteleft}responsibility' in a project that develops precision agriculture (PA)? and (2) What are some lessons for a research team embarking on a similar interdisciplinary technology development project? We show that how RI is materialized in practice within an interdisciplinary research team can produce different understandings of responsibility, notions of measurement of {\textquoteleft}matter,{\textquoteright} and metrics of success. Future interdisciplinary projects should (1) create mechanisms for project members to see how power and privilege are exercised in the design of new technology and (2) harness social sciences as a bridge between natural sciences and engineering for organic and equitable collaborations.",

keywords = "Responsible innovation, artificial intelligence, interdisciplinary, precision agriculture",

author = "Edward Prutzer and Maaz Gardezi and Rizzo, \{Donna M.\} and Mary Emery and Scott Merrill and Ryan, \{Benjamin E.K.\} and Oikonomou, \{Panagiotis D.\} and Alvez, \{Juan P.\} and Adereti, \{Damilola T.\} and Rubaina Anjum and Badireddy, \{Appala R.\} and Dwarika Bhattarai and Skye Brugler and Nicholas Cheney and David Clay and Sharon Clay and Ali Dadkhah and Faulkner, \{Joshua W.\} and Joshi, \{Deepak R.\} and Christopher Koliba and John McMaine and Semhar Michael and Sardorbek Musayev and Jarlath O{\textquoteright}Neil-Dunne and George Pinder and Taylor Ricketts and Schroth, \{Andrew W.\} and Scott Turnbull and Asim Zia",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s). Published by Informa UK Limited, trading as Taylor \& Francis Group.",

year = "2023",

doi = "10.1080/23299460.2023.2202093",

language = "English",

volume = "10",

journal = "Journal of Responsible Innovation",

issn = "2329-9460",

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Prutzer, E, Gardezi, M, Rizzo, DM, Emery, M, Merrill, S, Ryan, BEK, Oikonomou, PD, Alvez, JP, Adereti, DT, Anjum, R, Badireddy, AR, Bhattarai, D, Brugler, S, Cheney, N, Clay, D, Clay, S, Dadkhah, A, Faulkner, JW, Joshi, DR, Koliba, C, McMaine, J, Michael, S, Musayev, S, O’Neil-Dunne, J, Pinder, G, Ricketts, T, Schroth, AW, Turnbull, S & Zia, A 2023, 'Rethinking ‘responsibility’ in precision agriculture innovation: lessons from an interdisciplinary research team', Journal of Responsible Innovation, vol. 10, no. 1, 2202093. https://doi.org/10.1080/23299460.2023.2202093

TY - JOUR

T1 - Rethinking ‘responsibility’ in precision agriculture innovation

T2 - lessons from an interdisciplinary research team

AU - Prutzer, Edward

AU - Gardezi, Maaz

AU - Rizzo, Donna M.

AU - Emery, Mary

AU - Merrill, Scott

AU - Ryan, Benjamin E.K.

AU - Oikonomou, Panagiotis D.

AU - Alvez, Juan P.

AU - Adereti, Damilola T.

AU - Anjum, Rubaina

AU - Badireddy, Appala R.

AU - Bhattarai, Dwarika

AU - Brugler, Skye

AU - Cheney, Nicholas

AU - Clay, David

AU - Clay, Sharon

AU - Dadkhah, Ali

AU - Faulkner, Joshua W.

AU - Joshi, Deepak R.

AU - Koliba, Christopher

AU - McMaine, John

AU - Michael, Semhar

AU - Musayev, Sardorbek

AU - O’Neil-Dunne, Jarlath

AU - Pinder, George

AU - Ricketts, Taylor

AU - Schroth, Andrew W.

AU - Turnbull, Scott

AU - Zia, Asim

PY - 2023

Y1 - 2023

N2 - We examine the interactions, decisions, and evaluations of an interdisciplinary team of researchers tasked with developing an artificial intelligence-based agricultural decision support system that can provide farmers site-specific information about managing nutrients on their land. We answer the following research questions: (1) How does a relational perspective help an interdisciplinary team conceptualize ‘responsibility' in a project that develops precision agriculture (PA)? and (2) What are some lessons for a research team embarking on a similar interdisciplinary technology development project? We show that how RI is materialized in practice within an interdisciplinary research team can produce different understandings of responsibility, notions of measurement of ‘matter,’ and metrics of success. Future interdisciplinary projects should (1) create mechanisms for project members to see how power and privilege are exercised in the design of new technology and (2) harness social sciences as a bridge between natural sciences and engineering for organic and equitable collaborations.

AB - We examine the interactions, decisions, and evaluations of an interdisciplinary team of researchers tasked with developing an artificial intelligence-based agricultural decision support system that can provide farmers site-specific information about managing nutrients on their land. We answer the following research questions: (1) How does a relational perspective help an interdisciplinary team conceptualize ‘responsibility' in a project that develops precision agriculture (PA)? and (2) What are some lessons for a research team embarking on a similar interdisciplinary technology development project? We show that how RI is materialized in practice within an interdisciplinary research team can produce different understandings of responsibility, notions of measurement of ‘matter,’ and metrics of success. Future interdisciplinary projects should (1) create mechanisms for project members to see how power and privilege are exercised in the design of new technology and (2) harness social sciences as a bridge between natural sciences and engineering for organic and equitable collaborations.

KW - Responsible innovation

KW - artificial intelligence

KW - interdisciplinary

KW - precision agriculture

UR - https://www.scopus.com/pages/publications/85160957012

UR - https://www.scopus.com/pages/publications/85160957012#tab=citedBy

U2 - 10.1080/23299460.2023.2202093

DO - 10.1080/23299460.2023.2202093

M3 - Article

AN - SCOPUS:85160957012

SN - 2329-9460

VL - 10

JO - Journal of Responsible Innovation

JF - Journal of Responsible Innovation

IS - 1

M1 - 2202093

ER -

Rethinking ‘responsibility’ in precision agriculture innovation: lessons from an interdisciplinary research team

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

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