Social Computing

QCRI’s Social Computing group performs multi-disciplinary research, combining computer science and social sciences to address problems of societal relevance.

Methodologically, our principal sub-areas are: (i) computational social science: studying human behavior at scale, (ii) social analytics: applying machine learning to social data to build models for various applications, and (iii) hybrid collaborative intelligence: supporting the collaboration between humans and machines for information processing tasks.

Thematically, our group is organized by application area: Health, Urban Computing, Crisis Computing and News. The researchers in each focus area work with local stakeholders to generate science and systems that are relevant to the region, while producing global impact. Our efforts in these four areas include:

Public Health Informatics for Healthy Living: Working closely with local domain experts, we develop mobile and wearable technologies to promote healthy living of individuals, communities and populations. Part of our work also focuses on analyzing and visualizing social media data to better understand public health concerns, especially lifestyle-related issues.

Using big data to understand urban dynamics in fast growing cities. Data from social media is complementary to physical sensors and can be exploited to better “sense” the city for improving urban services and city planning. We are working on a platform for integrating data from disparate physical and social sensors and we are developing novel analytical approaches to mine such data and design smart city apps for residents.

Extracting Timely and Credible Information from Social Media for Crisis Response:  We conduct applied and core computer science research and build innovative technologies to improve the effectiveness of humanitarian response during emergencies. Our research and development efforts focus on consuming both textual and visual social media content and is coordinated in collaboration with several regional and global partners.

News and Social Media Analytics: We conduct research to understand, predict, and improve the dissemination of online news in all its forms. Our research objectives are to provide policy makers insights concerning the impact of online news, develop methods leveraging social media and other online data to inform journalists and content providers allowing them to understand exposure in real time, and to build systems to enhance their impact.

For more details about our projects, demos, and publications, please visit our group page at sc.qcri.org.

 

Research Director

Dr. Ingmar Weber - Copy.jpg

Dr. Ingmar Weber

I’m very excited to be in Doha and to be part of QCRI and to have a chance to contribute to its exciting and ambitious mission.
Read more

Principal Scientist

Dr. Jim Jansen

For many people, it is difficult to imagine conducting the daily business of life without the assistance of the Web and Internet. My research interest is in making this interaction among people, technology, and information even better through applied research. QCRI is the place to do this type of research!
Read more

Follow Us

  • YouTube
  • Twitter
  • Facebook
  • RSS Feed
  • Linkedin
  • github-web.png
Back to Top

In the Media

Dacier pic1.jpg

Cyber security experts advise caution after attacks

16/05/2017

Cyber security experts in Qatar and the region have advised caution and not to access any emails or other information from unknown sources, following the recent wave of cyber attacks across the world...

Read More

video game study Haewoon.jpg

People remain calm as the world ends, video game study suggests

28/03/2017

As the world ends, will you lock arms and sing “Kumbayah” or embark on a path of law-breaking, anti-social behavior? A new study, based upon the virtual actions of more than 80,000 players of the ...

Read More

overweight-experiment-pic.jpg

Computer vision research aims to identify overweight people from social media face photos

16/03/2017

Researchers from MIT and the Qatar Computing Research Institute have developed a novel new facility in the current rush of interest towards computer vision – an algorithm that can identify overweight...

Read More

Events

Past Events

2017

CS 1.jpg

QCRI’s Creative Space holds Open House event for kids

Download ICS File 20/05/2017 ,

The Qatar Computing Research Institute’s new Creative Space, which conducts fun activities to teach children computing skills, has successfully held its first Open House event. About 100 children ...

Read More

Slide1.JPG

QCRI-MIT CSAIL Annual Research Project Review 2017

Download ICS File 27/03/2017 ,

The QCRI – MIT CSAIL Annual Research Project Review is open to the public on Monday, March 27, 2017, at the HBKU Research Complex Multipurpose Room. The annual meeting is a highlight of a ...

Read More

MLDAS 2017

(MLDAS 2017) Machine Learning and Data Analytics Symposium

Download ICS File 13/03/2017  - 14/03/2017 , Qatar National Convention Centre

Machine Learning and Data Analytics Symposium - MLDAS 2017 Building on the success of the three previous events , Boeing and QCRI will hold the Fourth Machine Learning and Data Analytics Symposium (...

Read More

News

Majd interns ex-irina (2).jpg

QCRI’s summer internship program kicks off

07/05/2017

The Qatar Computing Research Institute’s 2017 summer internship program is underway. This year’s program involves computer science and computer engineering students from Carnegie Mellon University, ...

Read More

EMan pic for internships (2).jpg

QCRI summer 2017 internship applications open

11/03/2017

The Qatar Computing Research Institute, part of Hamad bin Khalifa University, has announced that applications for its summer internship program have opened. The internships are being offered to ...

Read More

Slide1.JPG

MIT-CSAIL's Patrick Winston: 'AI is not a threat'

05/03/2017

Artificial intelligence expert tells Qatar audience that humans should not consider AI to be a major threat to their existence but should use it to enhance it.

Read More