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

  • BusinessGeneral Management
  • ComputingComputer Science
  • EngineeringComputer Engineering
  • EngineeringElectrical Engineering
  • Ivan AllenPublic Policy
  • Online MastersAnalytics synchronous
  • Online MastersComputer Science synchronous
  • Other
  • SciencesPsychology

Preferred Interests and Preparation

CS, ECE, PSYC, Business, Public Policy

Meeting Schedule & Location

3:30 - 4:20
Meeting Location 
Klaus 1440
Meeting Day 

Team Advisors

Dr. Carl Cox
  • Georgia Tech Research Institute
Dr. Rickey Thomas
  • Psychology