High seas in the cloud: the role of big data and artificial intelligence in support of high seas governance – The Sargasso Sea pilot

This article examines the future governance of areas beyond national jurisdiction (ABNJ) in the wake of the new 2023 United Nations Agreement using the work on the Sargasso Sea as a prototype. After discussing the legal framework and current challenges facing the ABNJ regime, some details are provided on open ocean data collection technologies, including big data and artificial intelligence (AI), used in support of ocean governance. Based on a technology-enabled ocean governance cycle, the role that data, information technology and data-science can play in incorporating empirical scientific knowledge into policy and decision-making is examined with a focus on the open ocean. The article concludes with a vision of future high seas governance based on the 2023 Agreement and how big data and AI can play a crucial role in meeting the exciting challenges that the new agreement poses.

Authors

Institutions

Publication Details

Journal
Frontiers in Marine Science
Published
2024-08-21
DOI
https://doi.org/10.3389/fmars.2024.1427099
Citations
4
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
2.84

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High seas in the cloud: the role of big data and artificial intelligence in support of high seas governance – The Sargasso Sea pilot

Vardis Tsontos, Patrick N. Halpin, David Freestone, Jorge Vazquez‐Cuervo et al.
4 citations
Frontiers in Marine Science
Coastal and Marine Management
2.84
article

High seas in the cloud: the role of big data and artificial intelligence in support of high seas governance – The Sargasso Sea pilot

Vardis Tsontos, Patrick N. Halpin, David Freestone, Jorge Vazquez‐Cuervo, David Vousden, Kristina M. Gjerde, Andrew J. Hudson, Fae Sapsford, Alex D. Rogers, Kieran N. Bjergstrom, Kevin Fleming
article en
4 citations

Abstract

This article examines the future governance of areas beyond national jurisdiction (ABNJ) in the wake of the new 2023 United Nations Agreement using the work on the Sargasso Sea as a prototype. After discussing the legal framework and current challenges facing the ABNJ regime, some details are provided on open ocean data collection technologies, including big data and artificial intelligence (AI), used in support of ocean governance. Based on a technology-enabled ocean governance cycle, the role that data, information technology and data-science can play in incorporating empirical scientific knowledge into policy and decision-making is examined with a focus on the open ocean. The article concludes with a vision of future high seas governance based on the 2023 Agreement and how big data and AI can play a crucial role in meeting the exciting challenges that the new agreement poses.

Frontiers in Marine ScienceVol. 11
Bermuda Institute of Ocean Sciences (BM), Jet Propulsion Laboratory (US), World Maritime University (SE), Loughborough University (GB), University of Graz (AT), Duke University (US), King's College London (GB), George Washington University (US), National Oceanography Centre (GB), Rhodes University (ZA), International Union for Conservation of Nature (United States) (US)
Global Environment Facility, Sveriges Regering, Fonds Français pour l'Environnement Mondial
Life below water
Openalex Percentile: Top 9%
Coastal and Marine Management
2.84
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.