Intelligent Platform for Crowdsourcing (IP Crowd)
Goals
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
- Cognitive Systems
- Hypothesis Generation and Evaluation
- User Interaction Design
- Knowledge Representation and Reasoning
- Data Visualization
- Collaboration Technologies
Majors Sought
Business: General Management
Computing: Analytics – Online MS, Computer Science, Computer Science – Online MS
Engineering: Computer Engineering, Electrical Engineering
Liberal Arts: Public Policy
Sciences: Psychology
Preferred Interests and Preparation
CS, ECE, PSYC, Business, Public Policy
Advisors
Carl Cox
Carl Cox
carl.cox@gtri.gatech.edu
Moon KimGeorgia Tech Research Institutemoon.kim@gtri.gatech.edu
Day, Time & Location
Full Team Meeting:
3:30 – 4:20 Tuesday
Klaus 1440
Subteam meetings scheduled after classes begin.