MIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
  • DSpace@MIT Home
  • MIT Libraries
  • MIT Theses
  • Graduate Theses
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Emerging computational methodologies for transparency in fisheries

Author(s)
Boulais, Océane Elia.
Thumbnail
Download1227784467-MIT.pdf (12.57Mb)
Other Contributors
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Advisor
Joseph Paradiso.
Terms of use
MIT 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. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
Abstract
Our 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.
Description
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 51-54).
 
Date issued
2020
URI
https://hdl.handle.net/1721.1/129268
Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Publisher
Massachusetts Institute of Technology
Keywords
Program in Media Arts and Sciences

Collections
  • Graduate Theses

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries
PrivacyPermissionsAccessibilityContact us
MIT
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.