Big Data, Open Data and the Climate Risk Market

Bates, Jo

doi:10.1007/978-3-319-57876-7_7

Cited by 3 publications

(6 citation statements)

References 5 publications

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“…Spurred by the needs of the investment community, and brought about through a widening climate risk industry, little is known about the role CRAs play in both securing the interests of capital and offering direct measurements of climate risk. Further, open or public access to CRA data has the potential to diffuse the inequities associated with informational power described by Bates (2017). Given this, researchers must engage CRAs at multiple scales (corporate, investor, nonprofit alliances, for-profit research firms) to grasp the social, environmental, and economic conditions under which they are designed, deployed, and how they impact wider social understandings of climate risk.…”

Section: Discussionmentioning

confidence: 99%

“…On the topic of diffusion, researchers should question the role of power, expertise and wealth in replicating the CRA industry. Discussions could build on Bates's work on the scientific institutions and consultancies who gather, analyze, package, and sell vast amounts of climate data (Bates, 2017). In her work, Bates identifies new forms of "informational power," which have the potential to manifest unevenly.…”

Section: Future Cra Research Prioritiesmentioning

confidence: 99%

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Climate risk assessments and science‐based targets: A review of emerging private sector climate action tools

Walenta

2019

WIREs Climate Change

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With the retreat of the United States from the Paris Climate Agreement, the campaign to enroll corporations and other private sector actors into the climate governing arena has accelerated. The tools used by such actors in addressing climate change are similarly expanding. While carbon footprints and carbon offsets have been previously underscored as the chief climate action tools to date, climate risk assessments and science-based targets have been proposed as new quantitative tools to mobilize corporate action against climate change. This article presents a review of these two tools, arguing for more comprehensive and sustained scholarly investigation into each. Following overviews on the early developments of each tool, related academic research is considered in an effort to point toward future research priorities. These priorities emphasize generating empirical data around each tool's origins, diffusion, and impacts (social, economic, and environmental) so that more robust academic debates might occur on the role of science-based targets and climate risk assessments in advancing effective polycentric climate governance.

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Section: Discussionmentioning

confidence: 99%

Section: Future Cra Research Prioritiesmentioning

confidence: 99%

Climate risk assessments and science‐based targets: A review of emerging private sector climate action tools

Walenta

2019

WIREs Climate Change

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“…Many organisations depend on data to understand things and make correct decisions. The meteorological organisations, for example, depend heavily on data to explain the changes in climate, why it is changing and what should be done to respond (Bates, 2017a). In developed countries like the US, big companies like Bayer and Monsanto control the food system whereby data collection involves 'use of sensors, ranging from pieces attached to farm machinery to satellites' (Davidson, 2018).…”

Section: Big Data Data As a Commoditymentioning

confidence: 99%

“…Data has been regarded as a precious commodity and 'new oil' fueling Fourth Industrial revolution (Bates, 2017a). According to Bates (2017a), financial markets depend on data and key actors in markets are businesses and government; 'weather derivatives are types of climate risk product traded' whereby volumes of weather data required by climate risk industry are treated as a commodity traded by the national meteorological agency. Likewise, environment data in the US and UK are traded as market goods rather than public goods (Randalls, 2017).…”

Section: Big Data Data As a Commoditymentioning

confidence: 99%

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Potential opportunities and risks of sharing agricultural research data in Tanzania

Katabalwa

Bates

Abbott

2021

Self Cite

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Purpose: The purpose of this paper was to examine the potential opportunities and risks of sharing agricultural research data in Tanzania identified in the existing research literature. Design/methodology/approach: The study involved a review of the literature on research data sharing practices. Findings: The findings indicate that, research data sharing have significant positive benefits among researchers such as increase high research impact; enhancing international community collaboration among researchers with same interests; improving scientific transparency and accuracy of data (Rappert and Bezuidenhout, 2016); increasing research output whereby a single dataset can be used to generate more than one article by different authors; and many more. The risks hampering data sharing practices includes researchers’ fears that data will be scooped, poached or misused (Onyancha, 2016); unreliable electric power; lack of fund to support research data sharing activities; absence of institutional governmental support for data management; perceived lack of evidence benefits (Leonelli, Rappert and Bezuidenhout, 2018); and others. However, in Tanzania research data sharing is relatively new, thus, no any governmental agency mandating or encouraging research data sharing; therefore, there is no research data management; no research open data repositories and no research data sharing policy at any agricultural institution in Tanzania. The study recommends that agricultural researchers should be sensitized to share their data, research data policy and data repositories should also be established to support data sharing practices in Tanzania. Originality and usefulness: From the available literature, this has been the first time that an effort has been made to examine the potential opportunities and risks of sharing agricultural research data in Tanzania. The study could be used by agricultural institutions and other institutions to assess the researchers’ needs in supporting research data sharing. Also, it can be used by the government and institutions to see the need of establishing open data repositories and open data policies to support research data sharing.

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‘Making financial sense of the future’: actuaries and the management of climate-related financial risk

Taylor

2022

New Political Economy

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Big Data, Open Data and the Climate Risk Market

Cited by 3 publications

References 5 publications

Climate risk assessments and science‐based targets: A review of emerging private sector climate action tools

Climate risk assessments and science‐based targets: A review of emerging private sector climate action tools

Potential opportunities and risks of sharing agricultural research data in Tanzania

‘Making financial sense of the future’: actuaries and the management of climate-related financial risk

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