News Flash: Social Computing has 2 papers accepted at CSCW 2015!The Social Computing group is a multi-disciplinary team of social scientists, computer scientists, and software engineers. We are interested in understanding various social phenomena through the analysis of social media, and in using social media data to fuel time-critical applications. We focus on extracting relevant and credible information communicated on microblogging platforms, mass media news sites, and other online sources. Our goal is to support decisions made by policy makers, emergency responders, journalists and others who benefit from knowledge and information generated in online media.
In the News
STUDENTS have been given a new perspective on the world of research through an internship opportunity with a hands-on approach to developing their computing skills. A closing ceremony to mark the end...
Qatar Foundation Announces ARC’ 14 Agenda On Youth Development Doha, 19 October, 2014: Qatar Foundation for Education, Science and Community Development’s Research and Development (QF R&D) has ...
Doha, Qatar: 14th October, 2014: Qatar Foundation’s Annual Research Conference (ARC), held under the patronage of Her Highness Sheikha Moza bint Nasser, Chairperson of Qatar Foundation for Education,...
QCRI is the local host for EMNLP 2014. EMNLP is organized by SIGDAT, the Association for Computational Linguistics special interest group for linguistic data and corpus-based approaches to natural language processing.
The 2014 World Innovation Summit for Education (WISE) will convene November 4-6, in Doha, Qatar,under the theme “Imagine – Create – Learn: Creativity at the Heart of Education”.
Qatar Computing Research Institute to host student information session showcasing unique summer internship opportunities
Doha, Qatar, 17 March 2014: Just a quarter of a century since the birth of the World Wide Web, Qatar Computing Research Institute (QCRI) has invited its inventor, Sir Tim Berners-Lee, to deliver a ...
Joint Boeing and QCRI research symposium to highlight new approaches to valuable data extraction