TY - GEN
T1 - OMGMO
T2 - 13th International Conference on Social Informatics, SocInfo 2022
AU - Grzenda, Daniel
AU - Spreadbury, Trevor
AU - Rock, Joeva
AU - Dowd-Uribe, Brian
AU - Uminsky, David
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Genetically modified (GM) crops can be a tool to address food security, climate change, and environmental sustainability in Africa. However, despite nearly three decades of developing GM crops for explicit use on the African continent, very little is known about this research, and very few crop varieties have moved from development to use by farmers. This paper introduces a collection of three multi-modal datasets to provide insight into the social, political, and economic actors shaping the future of GM crop development in Africa. Our interdisciplinary team compiled a dataset of GM crops in the research development pipeline, a collection of financial disclosures of funders supporting GM crop research, and a collection of over 2 million articles on agriculture and GM crop reporting from African media. We demonstrate the effectiveness of combining these pertinent datasets to aid in social science analysis of the social, political, and economic landscape of agricultural biotechnology in Africa.
AB - Genetically modified (GM) crops can be a tool to address food security, climate change, and environmental sustainability in Africa. However, despite nearly three decades of developing GM crops for explicit use on the African continent, very little is known about this research, and very few crop varieties have moved from development to use by farmers. This paper introduces a collection of three multi-modal datasets to provide insight into the social, political, and economic actors shaping the future of GM crop development in Africa. Our interdisciplinary team compiled a dataset of GM crops in the research development pipeline, a collection of financial disclosures of funders supporting GM crop research, and a collection of over 2 million articles on agriculture and GM crop reporting from African media. We demonstrate the effectiveness of combining these pertinent datasets to aid in social science analysis of the social, political, and economic landscape of agricultural biotechnology in Africa.
KW - Africa
KW - Agriculture
KW - Data science
KW - Genetically modified crops
KW - Genetically modified organisms
KW - International development
KW - Multi-modal data
UR - https://www.scopus.com/pages/publications/85141689374
U2 - 10.1007/978-3-031-19097-1_28
DO - 10.1007/978-3-031-19097-1_28
M3 - Conference contribution
AN - SCOPUS:85141689374
SN - 9783031190964
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 414
EP - 425
BT - Social Informatics - 13th International Conference, SocInfo 2022, Proceedings
A2 - Hopfgartner, Frank
A2 - Jaidka, Kokil
A2 - Mayr, Philipp
A2 - Jose, Joemon
A2 - Breitsohl, Jan
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 19 October 2022 through 21 October 2022
ER -