Social Computing

QCRI’s Social Computing department 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 department 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 department page at sc.qcri.org.

 

Research Director

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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.
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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!
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In the Media

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Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

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MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

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Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

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Events

Past Events

2018

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QCRI Summer Internship Program

Download ICS File 06/05/2018  - 05/07/2018 , Hamad Bin Khalifa Research Complex

Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.

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Regina

Public Talk by Prof. Regina Barzilay "Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text"

Download ICS File 27/03/2018 ,

Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...

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QCRI & MIT-CSAIL Annual Project Review 2018

Download ICS File 27/03/2018 ,

Executive Overview Sessions Open to public Date:    Tuesday, March 27, 2018 Time:    9:00AM – 3:00PM Venue:  HBKU Research Complex Multipurpose Room To view full agenda, please click here . To RSVP, ...

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News

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QCAI to Conduct Joint Machine Learning School with BigML

16/10/2018

Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.

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MIT-CSAIL hosts annual meeting highlighting collaboration with QCRI

14/10/2018

QCRI scientists travel to MIT-CSAIL campus in Boston to update research projects.

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The drivers behind our new Qatar Center for Artificial Intelligence (QCAI)

03/10/2018

QCRI's Executive Director Dr. Ahmed Elmagarmid explains why we have created a new AI hub in Qatar.

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