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Resumen del producto

Martin, P.E., E.E., Holmes, E., Mayorga, J.K., Ansong, U., Bhaskar, J., Cornejo-Donoso, D., Correa-Chilón, R., Damoah, D., Fierro-Arcos, L., Gómez-Navarro, N., Kumar, A., Lawal-Are, S., Maity, S., Majumder, D., Menemenlis, A., Modi, E., Nyadjro, O., Oghenechovwen, A., Oikonomou, M., Oladipo, M., Peña, D.T., Quaye, Y., Santana-Falcón, B., Smitha, C., Troupin, G., Vagenas, H., Villalobos & G.L., Wagner (2025). Harnessing Marine Open Data Science for Ocean Sustainability in Africa, South Asia, and Latin America. Oceanography. 38(1): 14-0. DOI: 10.5670/oceanog.2025.121.

Harnessing Marine Open Data Science for Ocean Sustainability in Africa, South Asia, and Latin America

Paige E. Martin 1, Elizabeth Eli Holmes 2, Emilio Mayorga 3, Joseph K. Ansong 4, Uday Bhaskar 5, Jorge Cornejo-Donoso 6, David Correa-Chilón 7, Richard Damoah 8, Denisse Fierro-Arcos 9, Laura Gómez-Navarro 10, Nimit Kumar 11, Aderonke Lawal-Are 12, Sourav Maity 13, Swarnali Majumder 11, Dimitris Menemenlis 14, Aditi Modi 15, Ebenezer Nyadjro 16, Oghenekevwe Oghenechovwen 17, Anthi Oikonomou 18, Mumin Oladipo 19, Marian Peña 20, Daniel T. Quaye 21, Yeray Santana-Falcón 22, BR Smitha 23, Charles Troupin 24, Georgios Vagenas 18, Héctor Villalobos 25 y Gregory L. Wagner 26

1 Australian Climate Simulator (ACCESS-NRI), Canberra, Australia.
2 NOAA Fisheries, Seattle, WA, USA.
3 Applied Physics Laboratory, University of Washington, Seattle, WA, USA.
4 Department of Mathematics, University of Ghana, Accra, Ghana.
5 Indian National Centre for Ocean Information Services (INCOIS), Hyderabad, India.
6 Taller y Ciencia, Consultores, Chile.
7 Peruvian Institute of the Sea (IMARPE), Peru.
8 Morgan State University, Baltimore, MD, USA.
9 Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Tasmania, Australia.
10 Mediterranean Institute for Advanced Studies (UIB-CSIC), Illes Balears, Spain.
11 INCOIS, Hyderabad, India.
12 University of Lagos, Nigeria.
13 Vidyasagar University, Midnapore, West Bengal, India.
14 NASA Jet Propulsion Laboratory, USA.
15 Centre for Climate Change Research, Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune, India.
16 Northern Gulf Institute, Mississippi State University, Mississippi State, MS, USA.
17 BC Ministry of Emergency Management and Climate Readiness, Victoria, BC, Canada.
18 Institute of Marine Biological Resources and Inland Waters, Hellenic Centre for Marine Research, Anavissos, Greece.
19 KolaDaisi University, Omuni, Nigeria.
20 Centro Oceanográfico de Baleares (IEO-CSIC), Palma, Spain
21 Leibniz Institute for Tropospheric Research, Leipzig, Germany.
22 Instituto de Oceanografía y Cambio Global, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain.
23 Centre for Marine Living Resources & Ecology, Kochi, India.
24 University of Liège, Liège, Belgium.
25 Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas, Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas (CICIMAR-IPN), La Paz, México.
26 Massachusetts Institute of Technology, Cambridge, MA, USA.

One of the biggest barriers to conducting ocean science around the globe is limited access to computational tools and resources, including software, computing infrastructure, and data. Open tools, such as open-source software, open data, and online computing resources, offer promising solutions toward more equitable access to scientific resources. Here, we discuss the enabling power of these tools in underresourced and non-English speaking regions, based on experience gained in the organization of three independent programs in West African, Latin American, and Indian Ocean nations. These programs have embraced the “hackweek” learning model that bridges the gap between data science and domain applications. Hackweeks function as knowledge exchange forums and foster meaningful international and regional connections among scientists. Lessons learned across the three case studies include the importance of using open computational and data resources, tailoring programs to regional and cultural differences, and the benefits and challenges of using cloud-based infrastructure. Sharing capacity in marine open data science through the regional hackweek approach can expand the participation of more diverse scientific communities and help incorporate different perspectives and broader solutions to threats to marine ecosystems and communities.

Palabras clave: ocean hackweek; intercoonecta; OHWe

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