Show simple item record

dc.contributor.advisorJoseph Paradiso.en_US
dc.contributor.authorBoulais, Océane Elia.en_US
dc.contributor.otherProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.date.accessioned2021-01-06T20:15:29Z
dc.date.available2021-01-06T20:15:29Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129268
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 51-54).en_US
dc.description.abstractOur ocean covers over 70% of our planet. It is the world's largest food system, supporting the food security of several billion people and livelihoods for hundreds of millions of people globally. Conservation of ocean ecosystems refers to the study of marine ecosystems and their functions while the act of ocean conservation is protecting and preserving ecosystems in oceans and seas through planned management in order to prevent the exploitation of its' resources. As the human population has dramatically increased, as has the pressure of human impact on ocean ecosystems resulting in overfishing and causing increased extinction rate of marine species and destruction of marine environments. Harnessing the great leaps the world has experienced in computational processing for marine applications is not a question of when, but how. This body of research lays the foundations for a novel field - computational marine stewardship. An assemblage of technical innovations that hold the potential for integrating greater transparency in seafood supply chains, this research informs the dialogue around developing fisheries management technologies towards greater marine stewardship efforts.en_US
dc.description.statementofresponsibilityby Océane Elia Boulais.en_US
dc.format.extent54 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectProgram in Media Arts and Sciencesen_US
dc.titleEmerging computational methodologies for transparency in fisheriesen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.identifier.oclc1227784467en_US
dc.description.collectionS.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciencesen_US
dspace.imported2021-01-06T20:15:28Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentMediaen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record