Intelligent Platform for Crowdsourcing (IP Crowd)

2017 ~ Present


To develop and implement new approaches with cognitive reasoning modules and advanced data and knowledge visualization to enhance the experience and usefulness of crowdsourced problem-solving.

Issues Involved or Addressed

Design of collaboration techniques, provision of domain specific intelligent support modules for crowd participants, data visualization for multiple kinds of data with scaling, design of human interaction for a crowd-based system, appropriate decision support and information access for crowd participants.

Methods and Technologies

  • Crowdsourcing
  • Knowledge Representation and Reasoning
  • Cognitive Systems
  • Data Visualization
  • Hypothesis Generation and Evaluation
  • Collaboration Technologies
  • User Interaction Design

Academic Majors of Interest

  • Business Administration, Management
  • Computer Engineering
  • Computer Science
  • Electrical Engineering
  • Psychology
  • Public Policy

Preferred Interests and Preparation

CS, ECE, PSYC, Business, Public Policy

Meeting Schedule & Location



Meeting Location: 

Klaus 1440

Meeting Day: 


Team Advisors

Dr. Elizabeth Whitaker (GTRI ICL)
Dr. Rickey Thomas (PSYC)
Carl Cox (GTRI)