Data Management for Social Computing
Data Management for Social Computing

This project focuses on how data management can be used to facilitate social computing. The Humanitarian Technologies research thrust seeks to establish key technologies required to facilitate disaster management and humanitarian relief activities based on social media. These technologies leverage current social networks and primarily focus on data consumption, generation, and integration.

Principal Investigators
Lalana Kagal, CSAIL
Carlos Castillo, QCRI
Patrick Meier, QCRI

“Intelligent Exploration of the Linked Data Cloud”, a paper on the Linked Data exploration tool, submitted to the International Conference on Intelligent User Interface (IUI) in October 2013.

Democratizing Mobile App Development for Disaster Management Shih, Fuming, Seneviratne, Oshani, Miao, Daniela, Liccardi, Ilaria, Kagal, Lalana, Patton, Evan, Meier, Patrick, and Castillo, Carlos IJCAI Workshop on Semantic Cities, 2013

"Molding the Web of Data – An Architecture for Mobile Linked Data," Oshani Seneviratne, Evan W. Patton,  Daniela Miao, Fuming Shih, Weihua Li, Lalana Kagal, and Carlos Castillo,  ISWC October 2014

"Developing Mobile Linked Data Applications" Oshani Seneviratne, Evan W. Patton, Daniela Miao, Fuming Shih, Weihua Li, Lalana Kagal, and Carlos Castillo, International Semantic Web Conference (ISWC), October 2014.

"CIMBA - Client-Integrated MicroBlogging Architecture," Andrei Vlad Sambra, Sandro Hawke, Tim Berners-Lee, Lalana Kagal, and Ashraf Aboulnaga,  International Semantic Web Conference (ISWC), October  2014.

“Mobile App Development for Crisis Data”, Anubhav Jain, Julius Adebayo, Eduardo De Leon, Weihua Li, Lalana Kagal, Carlos Castillo and Patrick Meier.  Elsevier proceedings of the Humanitarian Technologies Conference 2015.

“The Role of Mobile Technologies in Humanitarian Relief” at Information Systems for Crisis Response and Management (ISCRAM) 2015