Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hugh F. Williamson"'
Autor:
Richard J. Morris, Julia Brettschneider, Richard Ostler, Sotirios A. Tsaftaris, Chris Rawlings, David Studholme, Mario Caccamo, Tony Pridmore, Robert P. Davey, Sean May, Paul J. Kersey, Sabina Leonelli, Hugh F. Williamson, Carole Goble
Publikováno v:
F1000Research, Vol 10 (2023)
Artificial Intelligence (AI) is increasingly used within plant science, yet it is far from being routinely and effectively implemented in this domain. Particularly relevant to the development of novel food and agricultural technologies is the develop
Externí odkaz:
https://doaj.org/article/856003a3c8a44d5ca26e67ce17d84409
Autor:
Hugh F. Williamson, Sabina Leonelli
This open access book provides the first systematic overview of existing challenges and opportunities for responsible data linkage, and a cutting-edge assessment of which steps need to be taken to ensure that plant data are ethically shared and used
Autor:
Sabina Leonelli, Hugh F. Williamson
Publikováno v:
Artificial Intelligence for Science ISBN: 9789811265662
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c4a1de6e1d23c3403156a54e96f823e
https://doi.org/10.1142/9789811265679_0018
https://doi.org/10.1142/9789811265679_0018
Autor:
Sabina Leonelli, Hugh F. Williamson
Publikováno v:
Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development ISBN: 9783031132759
This chapter provides a framing for this volume by reviewing the significance and the organisational, technical and social opportunities and challenges related to plant data linkage. We review what “responsible practice” means in relation to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d3c7e9c6c81380a441089e4969ba84e
https://doi.org/10.1007/978-3-031-13276-6_1
https://doi.org/10.1007/978-3-031-13276-6_1
Autor:
Hugh F. Williamson, Sabina Leonelli
Publikováno v:
Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development ISBN: 9783031132759
This chapter argues for the importance of considering conceptual and normative commitments when addressing questions of responsible practice in data-intensive agricultural research and development. We consider genetic gain-focused plant breeding stra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73ad8be9a44e6c89562123c89f084ecc
https://doi.org/10.1007/978-3-031-13276-6_16
https://doi.org/10.1007/978-3-031-13276-6_16
Publikováno v:
Social Anthropology
Taras Fedirko would like to acknowledge funding from the British Academy (grant no. PF20/100094) and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 683033). Liberal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fb639fd1138692d14a929cd545b7104
https://doi.org/10.1111/1469-8676.13061
https://doi.org/10.1111/1469-8676.13061
Autor:
Hugh F. Williamson, Julia Brettschneider, Mario Caccamo, Robert P. Davey, Carole Goble, Paul J. Kersey, Sean May, Richard J. Morris, Richard Ostler, Tony Pridmore, Chris Rawlings, David Studholme, Sotirios A. Tsaftaris, Sabina Leonelli
Publikováno v:
F1000Research. 10:324
Artificial Intelligence (AI) is increasingly used within plant science, yet it is far from being routinely and effectively implemented in this domain. Particularly relevant to the development of novel food and agricultural technologies is the develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2369df7f4d58265862ec13fdf5e5fe8b
https://doi.org/10.12688/f1000research.52204.2
https://doi.org/10.12688/f1000research.52204.2
Autor:
Julia Brettschneider, Christopher J. Rawlings, David J. Studholme, Sean T. May, Carole Goble, Mario Caccamo, Sotirios A. Tsaftaris, Tony P. Pridmore, Richard Ostler, Sabina Leonelli, Paul J. Kersey, Richard J. Morris, Hugh F. Williamson, Robert P. Davey
Publikováno v:
F1000Research
Artificial Intelligence (AI) is increasingly used within plant science, yet it is far from being routinely and effectively implemented in this domain. Particularly relevant to the development of novel food and agricultural technologies is the develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6f1a967effb6ba5a069d758cb2a83f2