Algorithmic conservation in a changing climate

Clustering of disaggregated fisheries data reveals functional longline fleets across the Pacific

“…23,[109][110][111] With big ocean data restructuring the relationships between scientists, policymakers, and fisheries stakeholders, the resulting reconfiguration of power may be irreducible to whose interests are served. 112,113 Moving forward, policymakers and governments should identify strategies to diversify who benefits from the digital ocean ecosystem, empowering fishers and non-state groups such as RFMOs that may be unable to finance cutting-edge technology. 108 For environmental NGOs, the pursuit of high-profile initiatives capable of garnering public interest and philanthropic support should be balanced with the more mundane, but potentially transformative activities required to improve record-keeping, build digital infrastructure, and democratize data availability.…”

Foresight science in conservation: Tools, barriers, and mainstreaming opportunities

“…Tools such as AI-assisted decision modelling and backcasting integrate biological, social, and economic considerations. Employing an AIassisted decision modelling tool could accelerate the process and, with proper development, remove potential biases in the decision-making process (Scoville et al 2021). However, as a relatively new tool, there is still the need for consideration of ethical issues.…”

“…Many new tools and technologies outlined above, such as AI and online communication, have the potential to greatly reduce the time and effort required and, therefore, increase capacity. AI can automate data collection, model future trends, and assist in decision modelling (Kuziemski and Misuraca 2020;Scoville et al 2021), which saves time. Automating data collection might simultaneously help overcome knowledge accessibility barriers by creating pathways that automatically scour all available online data (Hines et al 2019).…”

Scrutinizing environmental governance in a digital age: New ways of seeing, participating, and intervening

“…Critical scholarship on how digital technologies are reconfiguring the ways in which data about environmental issues are collected, made sense of, and used to inform or even automate decision-making is growing. [12][13][14][15][16][17][18] We draw on this emerging field, as well as insights from science and technology studies, to explore how the use of digital technologies is engendering a number of key shifts in environmental governance. These shifts are discernible in three dimensions of governance: seeing and knowing, participation and engagement, and interventions and actions (Figure 1).…”