Topic: Data Science/Modelling

Society for Women in Marine Science (SWMS)

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📚 Category: Ocean Professionals; Multidisciplinary

🏷️ Topics include: Biology/Ecology; Data Science/Modelling; Scuba Diving; Diversity & Inclusion; Ocean Literacy; Environment/Sustainability; Fisheries; Aquaculture; Marine Science; Geoscience; Oceanography

📍 Country/Region: Africa; North America

Mission Statement

The Society for Women in Marine Science brings together marine scientists of all career levels to discuss the diverse experiences of women in marine science, celebrate the research done by women in the field, and promote the visibility of women in the marine science community.

International Society for Ecological Modelling

📚 Category: Biology & Ecology

🏷️ Topics include: Data Science/Modelling

📍 Country/Region: International

The International Society for Ecological Modelling (ISEM) promotes the international exchange of ideas, scientific results, and other knowledge on application of systems analysis and simulation in ecology and natural resource management. The Society was formed in Denmark in 1978 by the initiative of the professor Sven E. Jorgensen. Today ISEM has following chapters: Africa, Australasia, Europe, North America and Japan. The society sponsors conferences, symposia, and workshops that promote the systems approach to ecological research and teaching, and to the management of natural resources. Its members frequently contribute research articles to the official scientific journal of the Society, Ecological Modelling.

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European Marine Observation and Data Network (EMODnet)

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📚 Category: Oceanography; Biology & Ecology

🏷️ Topics include: Ocean Observations; FAIR Data; Data Science/Modelling

📍 Country/Region: Europe

The European Marine Observation and Data Network (EMODnet) is a network of organisations supported by the EU’s integrated maritime policy. These organisations work together to observe the sea, process the data according to international standards and make that information freely available as interoperable data layers and data products. This "collect once and use many times" philosophy benefits all marine data users, including policy makers, scientists, private industry and the public. It has been estimated that such an integrated marine data policy will save at least one billion Euros per year, as well as opening up new opportunities for innovation and growth.

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