CASE: Content Aggregation Systems for Elections

Faculty: 
Michael Best
Students: 
Olufunke Adebola, Bence Kollanyi, Amanda Meng, Thomas Smyth

The Content Aggregation System for Election Observation (CASE) will aggregate real-time election observation data from formal observer missions and social media sources. Our new system, combining the power of crowdsourced data from social media with the precision of formal observers in the field, will create a first-ever fully integrated monitoring system. Simple technical interfaces will allow users to share particular information in real-time while still maintaining necessary data security and privacy. An integrated visual dashboard will allow all project participants to view, analyze and understand real-time data from social media fully integrated with real-time data from participating formal observer groups. The system will be test deployed in 2014 and fully deployed during the 2015 Nigerian national election.

Lab: 
Faculty: 
Michael L. Best

The lab's research focuses on information and communication technologies for social, economic, and political development. In particular the lab studies mobile phones, the internet, and internet-enabled services and their design, impact, and importance within low-income countries of Africa and Asia. The lab researches engineering, public policy, hci/usability, and sustainability issues as well as methods to assess and evaluate social, economic, and political development outcomes. They are also interested in the impact of information and communication technologies on the development-security nexus and in post-conflict peace and reconciliation.