You've been logged out of GDC Vault since the maximum users allowed for this account has been reached. To access Members Only content on GDC Vault, please log out of GDC Vault from the computer which last accessed this account.

Click here to find out about GDC Vault Membership options for more users.

close
Session Name Game Structured Hiveminds: Organizing People & Solving Problems with Fun
Speaker(s) Evan Brown, Joe Edelman, Ben Sawyer, Jerome Waldispuhl
Company Name(s) Entertainment Technology Center, Citizen Logistics, Digitalmill, McGill University
Track / Format Game IT Summit
Overview

The opening set of talks at Game IT focuses on the ability for games to help solve problems through organizing and engaging collaborative groups of people through gameplay and social networks. The opportunities happening here are still emergent but already several projects have exemplified the power of this opportunity. This set of talks seeks to further these discussions and offer exciting new ideas to game-based crowdsourcing, collaboration, and distributed activity and problem solving.

Phylo, a McGill University based project creating a human-based computing framework applying ``crowd sourcing'' techniques and casual style gameplay to help with comparison of the human genome with the DNA of other species essential to deciphering our genetic code and revealing the causes of various genetic disorders.

CEML (Coordinating Event Module Launguage) an innovative new scripting language for coordinating group dynamics, and civic logistics across multiple platforms and applications. Developed by Citizen's Logistics CEML can be used to create exciting new blends of human action and game interaction.

Project Augur, developed by students at Carnegie Melon University's Entertainment Technology Center for Lockheed Martin Corporation. Project Augur's goal was to explore the frontiers of artificial intelligence as a predictive mechanism. Through the use of crowd-sourcing through Amazon Mechanical Turk, and with a trio of gamelike prototypes that collect data, the team built artificial intelligence algorithms that can predict based not only on an individual's past play, but other, less obvious factors as well.

GDC 2012

Evan Brown

Entertainment Technology Center

Joe Edelman

Citizen Logistics

Ben Sawyer

Digitalmill

Jerome Waldispuhl

McGill University

free content

Game IT Summit

Other


UBM Tech