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Massachusetts Institute of Technology

Red Ink : open source financial analytics for people & communities

Abstract

dc:description.abstract

Red Ink is an open source social-financial web-service that enables people to share, aggregate, analyze, visualize and publish their financial transactions as individuals and ad-hoc groups, through data sharing campaigns. Virtual and geographic communities of financial data sharers can form on Red Ink to create new sources of information for self-knowledge and understanding of complex personal, community, economic, environmental, and civic concerns and how to better coordinate their solutions. Red Ink posits that just like volunteering time or donating money, personal financial data is itself an asset that people can share to gain group leverage. Further, in the hands of everyday people, the data and tools of corporate scale consumer analysis will be reborn to serve larger and more personally meaningful goals.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • O'Toole, Ryan (Ryan Michael)
Advisor dc:contributor.advisor
  • Chris Csikszentmihályi.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/62079
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/62079

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

O'Toole, Ryan (Ryan Michael). Red Ink : open source financial analytics for people & communities. Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62079