Social Computing

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             News Flash! Social Computing has 3 papers and 2 demos accepted at ICWSM 2014


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.

Our work includes the analysis of online communications regarding current news, political events, humanitarian crises, and mass emergencies. We draw from techniques in several areas including: discourse analysis, natural language processing, sociology of disaster, database management, machine learning, large-scale data mining, and information retrieval. We work closely with the Distributed Systems team to develop our solutions on top of a robust architecture, with the Data Analytics team to leverage scalable and efficient processing of large data volumes. We also collaborate with the Arabic Language Technologies team to generate scientific work that is locally relevant to the region while producing global impact.

Read more about our research focus areas »

Highlights as of March 2014

  • In computational social science we are using social media data to gain insights into the “real world.” In one of our current projects, we look at whether large amounts of Twitter data provide insight into food consumption patterns, i.e. “do you eat what you tweet?” Understanding the social dimension of food consumption has important implications concerning obesity, diabetes, and overall health.
  • In social media and news, we are continuing our collaboration with Al Jazeera on projects related to providing tools for content producers, journalists and editors. We are improving the accuracy of FAST - Predictive Web Analytics by incorporating content factors, and working on new systems to help editors select related articles when writing a story. We also study international news media--specifically bias and agenda-setting. An overview of recent results can be found in this presentation.
  • In crisis computing, our primary focus is on AIDR - Artificial Intelligence for Disaster Response, a platform for automatic classification of microblog posts generated during mass emergencies. We are also researching the role of Twitter in ongoing crises, and looking at the use of automatically-classified messages to help coordinate the allocation of resources in emergency situations.
See some projects and demos from our group and browse through our latest publications »

We are hiring!

We are looking for scientists with a strong background in computational social science, information retrieval, machine learning, data mining, human-computer interaction, graph theory, text mining, or other topics, and that are passionate about social media data and applications. 

Visit our Join Us page to see more information about our open positions.

For technical or informational questions, please send an email to QCRI Careers with the name of the group to whom you’re directing your question, e.g. ALT, CS&E, Cyber Security, Data Analytics, Distributed Systems or Social Computing, in the subject line.

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In the News

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Using Big Data To Understand Migrations

10/08/2014

FORBES Federico Guerrini, Contributor 8 August 2014 Monitoring migrations is not an easy task. While in today’s economy, survey data about economic confidence or public opinion are collected on a ...

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QCRI Takes Steps to Promote Arabic

07/08/2014

Gulf Times 7 August 2014 Qatar Computing Research Institute (QCRI) is applying technology to speech recognition and machine translation to promote Arabic language, reports Foundation magazine. ...

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Closing the Arabic Language Gap Online

22/07/2014

Dr Stephan Vogel, Research Director, Arabic Language Technologies, Qatar Computing Research Institute, describes how his team is applying technology to speech recognition,
machine translation, and answering deep questions

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Upcoming Events

2014

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KDD2014: 20th ACM Conference on Knowledge Discovery and Data Mining

Download ICS File 24/08/2014 - 27/08/2014, New York City, USA

KDD 2014, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

The theme of this year's SIGKDD conference is 'Data Science for Social Good.'

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VLDB2014: 40th International Conference on Very Large Data Bases

Download ICS File 01/09/2014 - 05/09/2014, Hangzhou, China

VLDB is a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users.

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31st IASP World Conference

Download ICS File 19/10/2014 - 22/10/2014, Qatar National Convention Centre, Doha, Qatar

The annual conference of the International Association of Science Parks and Areas of Innovation (IASP) is hosted by Qatar Science & Technology Park.

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Press Releases

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To Make Your Mark in Computer Science Visit the QCRI Summer Internship Programme Open House

03/04/2014

Qatar Computing Research Institute to host student information session showcasing unique summer internship opportunities

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QCRI Organises Talk by the Inventor of the World Wide Web

17/03/2014

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 ...

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World’s Top Machine Learning and Data Analytics Experts Come to Qatar

02/03/2014

Joint Boeing and QCRI research symposium to highlight new approaches to valuable data extraction

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