The Research Program is an interdisciplinary collaboration that strives to improve fisheries management and science through shared data and cooperation.
Scientists play a key role in identifying and understanding the complex challenges facing our oceans, which is why we are working closely with some of the world’s leading researchers to extend the value of our dataset. Our collaborations contribute to discoveries and solutions critical to marine conservation, global economics, and human welfare. The partnerships we are forging will help us understand the role fishing plays in the physical, biological, economic, and political factors of the oceans. The Research Program aims to support the entire scientific community by making additional datasets publicly available to enable future works.
Transparency and collaboration are core principles of Global Fishing Watch, and the Research Program is based on these same pillars. Research partners are committed to sharing datasets, ideas, and methodologies, with the belief that broader access to information leads to future initiatives and greater impact.
MCS (Monitoring, Control and Surveillance) Analytics is a collaboration between the Indonesian Ministry of Marine Affairs and Fisheries and the Australian Commonwealth Scientific and Industrial Research Organization (CSIRO) to improve the use of fisheries monitoring data. The research teams are developing statistical tools for understanding the activities of fishing vessels, with the goal of improving fisheries statistics and enhancing the information available for reducing IUU fishing. Working with Global Fishing Watch, CSIRO researchers within this collaboration seek to to identify when vessels intentionally disable AIS devices, and they are working to better understand transshipment behavior.
The Worm Lab includes students and postdoctoral fellows engaged in the study of marine biodiversity, its causes, consequences of change, and conservation. The lab focuses on how marine biodiversity is distributed across the globe, how it changes over time, and how its loss can be prevented. Fishing can cause major impacts on marine biodiversity, and together with Global Fishing Watch, the Worm lab is conducting several studies on these impacts, including investigations into the interactions of fishing with marine protected areas, biodiversity hotspots, migratory species, and the global effects of fishing on biodiversity.
The Marine Geospatial Ecology Lab at Duke University applies geospatial technologies to issues in marine ecology, resource management and ocean conservation. The lab contributes ecological analysis, statistical models, geospatial tools, and open-access data to marine policy and management processes from local to international scales. In partnership with Global Fishing Watch, the lab is working to better characterize fishing activity in the Pacific Ocean and understand how Global Fishing Watch data can assist with management challenges in the high seas.
FAO plays a leading role in international fisheries policy working with a wide range of partners, including Governments, Regional Fisheries Bodies, cooperatives, fishing communities and more. UN-FAO will collaborate on new platforms and research methodologies that will build on Global Fishing Watch and global vessel registries for understanding and reporting high resolution spatial fishery statistics, and proposing transparency tools to support states in improving their monitoring, control and surveillance of fishing activities.
The National Geographic Society´s Explorer-in-Residence Dr. Enric Sala launched the Pristine Seas project in 2008 to identify, survey, document, and protect the last truly wild places in the ocean. Through exploration, scientific research, economic and policy analysis, and outreach, they have worked to help establish protected areas covering more than three million square kilometers of ocean territory. Working with Global Fishing Watch, new models are being developed to identify regions of the high seas that are ecologically unique and economically viable for protection.
The Block lab focus on how large pelagic fishes utilize the open ocean, and draws on innovative telemetry devices to track the movement of pelagic predators. The research in the lab is interdisciplinary, combining physiology, ecology, and genetics with oceanography and engineering. Working with Global Fishing Watch, the lab is undertaking a few projects related to understanding patterns of high-seas fishing activity across the globe and how global fishing fleets interact with large pelagic fish and sharks. This work will be applied to inform marine spatial planning and fisheries management for areas outside national jurisdictions.
Within the Institute for Oceans and Fisheries, Global Fishing Watch is collaborating with three specific programs: the Sea Around Us, the Fisheries Economics Research Unit & theOceanCanada Partnership, and the Changing Ocean Research Unit & NF Nereus Program. These programs bring a wealth of expertise in catch reconstruction and fleet distributions, economic fishery modeling, and environmental and climate implications for fisheries. We are excited to blend their proven methodologies with new global data sources from AIS analysis.
The McCauley Lab, within the Marine Science Institute, is a consortium of broadly trained ecologists that focus on understanding how we influence the oceans and how the oceans influence us. The lab is using Global Fishing Watch data to evaluate the efficacy of large marine protected areas; to strengthen emerging commitments by the United Nations to protect biodiversity of the high seas; and to better understand how fishing shapes global patterns of environmental justice.
The Sustainable Fisheries Group (SFG) is a collaboration between UC Santa Barbara’s Marine Science Institute and the Bren School of Environmental Science and Management. SFG’s research draws on diverse market approaches, bioeconomic modeling, and spatial analysis to improve the ecological and economic performance of fisheries and other ocean uses. Using Global Fishing Watch data, SFG is engaged in projects on the costs of high seas fishery policies, behavioral shifts following large-scale marine reserve implementation, the importance of global change in the spatial distribution of fish and fishermen, and real-time stock assessments.
The ANCORS Fisheries Governance Program studies how we manage human interaction with our marine environment, and develops innovative solutions to manage our activities and impacts. Their applied research engages with communities and governments, analyzes key problems, and creates new solutions that deliver real outcomes with tangible impacts. ANCORS is collaborating with Global Fishing Watch to research and develop innovative approaches to fisheries governance, science, and marine conservation.
“I think Global Fishing Watch is poised to completely revolutionize the way fisheries are managed, the way fisheries are assessed, the way fisheries are monitored and evaluated. So I think pretty much everything we do in fisheries could be revolutionized by Global Fishing Watch.”
– Dr. Chris Costello
“I think Global Fishing Watch could play a key role in making human use of the ocean transparent to everybody.”
– Dr. Boris Worm
“Until Global Fishing Watch came online, there was not a publicly available source of information about where fishing was happening.”
– Dr. Douglas McCauley
Global Fishing Watch is committed to making as much of its data freely available as possible. We are publishing daily, detailed, global rasters of fishing effort, which will be available to existing research partners via Google’s Earth Engine platform. Earth Engine provides incredibly powerful cloud spatial analytics alongside the world’s largest public data catalog with over five petabytes of imagery and remotely sensed environmental monitoring data at your fingertips. The underlying AIS data, with positions of individual vessels, is a commercial dataset we have licensed for the project. Our agreement does not allow for redistribution of the raw data, as that would adversely affect our providers. Please contact firstname.lastname@example.org with questions.
McCauley, D., P. Woods, B. Sullivan, B. Bergman, C. Jablonicky, A. Roan, M. Hirshfield, K. Boerder, and B. Worm. 2016. Ending hide and seek in the oceans. Science.
Souza, E. N. de, Boerder, K., Matwin, S. and Worm, B. 2016. Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning. PLOS ONE 11, e0158248.
Robards, M., Silber, G., Adams, J., Arroyo, J., Lorenzini, D., Schwehr, K., and Amos, J. 2016.Conservation science and policy applications of the marine vessel Automatic Identification System (AIS)—a review. Bulletin of Marine Science 92, 75–103.