Crowd-driven Ecosystem for Evolutionary Design

Abstract

GE Global Research and Massachusetts Institute of Technology jointly developed a crowdsourcing platform to support DARPA s vehicleforge.mil program to revolutionize modern-day design and manufacturing. Our vision is to build a crowd-driven ecosystem for evolutionary design (CEED). It will connect data, design tools and simulations in a collaborative environment to accelerate the design of highly complex industrial systems. Such an environment allows designers to team up to develop projects concurrently. Developers from different spaces will be able to form design communities and create a common project space. This space will allow them to manage processes as a team and track changes and updates on their project. Furthermore, the CEED platform provides a marketplace where contributors can choose to expose their ideas to the public either as open source or as IP protected services. The exposed design models, or models available for review in this open community, will experience market pressures that ultimately allow for the best designs to emerge. The CEED platform also embeds social media connections to maximize crowd engagement.

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Document Details

Document Type
Technical Report
Publication Date
Jul 28, 2012
Accession Number
ADA565255

Entities

People

  • Amine Chigani
  • Benjamin Beckmann
  • David R. Wallace
  • Qing Cao
  • Thomas Citriniti

Organizations

  • General Electric

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Cyber
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computer-Aided Design
  • Computers
  • Configuration Management
  • Databases
  • Engineers
  • Security Protocols
  • Social Media
  • Software Design
  • Software Development
  • Software Development Tools
  • System Of Systems
  • Systems Engineering
  • User Interface
  • User Interface Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Economics
  • Software Engineering

Technology Areas

  • Space