Focus Areas

Our main areas of focus in the Social Computing group are the following:

Mining Social Media for Socio-Political, Cultural, and Behavioral Patterns: We develop mining algorithms for crawling, sampling, and mining various online repositories, addressing challenges of scale and heterogeneity (e.g., structured and unstructured) of the underlying data, as well as access restrictions such as proprietary query views. Our focus is on methods that provide in-depth analysis that go beyond mere topical “trending now” analysis. One key application area is in understanding political opinion formation and interaction, both in the Arab world and elsewhere.

Social Media Intelligence for News: We develop methods that change the face of traditional news media by gathering usage- and content-based signals from social media around news stories. Our focus is on developing methods that leverage the strengths of social media and traditional media to provide a holistic view of a multitude of data sources and reactions around a developing news event. The integration of traditional and social media fills the gap between supply and demand of information; this integration has become essential to maintain the relevance and timeliness of traditional media, and to reinforce the credibility of social media.

Extracting Timely and Credible Information from Social Media for Crisis Response
(joint research with Arabic Language Technologies and Data Analytics): We apply social computing methods to crisis information communicated via social media to generate situational awareness for humanitarian response. We integrate tools for crowdsourcing/collaboration with an emphasis on crisis informatics. The aim is to extract relevant information that contributes to situational awareness, and to aggregate this content according to existing standards (such as the Humanitarian Cluster system) for further analysis. This research and development effort is currently focused on Twitter, and is coordinated in collaboration with the United Nations.

Research Director

Dr. Jaideep Srivastava

Why QCRI? A question I asked myself when first invited to visit. My career path has been one of trying out new things, taking a direction very different from the one before, experiencing the new – cultures, challenges, opportunities. I was looking for the ‘next big thing’ to try. Once I visited here, the question became ‘Why not QCRI?’ And, when I was offered the opportunity to head Social Computing, my reaction was ‘Wow, QCRI!’
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Principal Scientist

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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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Taming data

22/01/2017

The age of big data has seen a host of new techniques for analyzing large data sets. But before any of those techniques can be applied, the target data has to be aggregated, organized, and cleaned up...

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What is 'deep learning'?

08/01/2017

Every day we create billions of bits of data. Ever faster and more powerful computers can use that big data to learn, predict events and carry out key tasks. Surveillance, voice recognition and ...

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Así influye Facebook en tus opiniones

08/12/2016

Hay varios presuntos culpables de la victoria de Donald Trump: la falta de visión de la campaña de Clinton, la globalización, la condescendencia de las elites. Facebook y su modo de seleccionar ...

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Events

2017

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Women in Data Science

Download ICS File 03/02/2017 ,

Here's a great chance to learn about the latest data science-related research in multiple domains, as part of a global project. Qatar's WiDS event will be held here at the HBKU Research Complex on ...

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MLDAS 2017

(MLDAS 2017 )Machine Learning and Data Analytics Symposium

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

Machine Learning and Data Analytics Symposium - MLDAS 2017 Building on the success of MLDAS 2016 and MLDAS 2015 , The Third Machine Learning and Data Analytics (MLDAS) Symposium , will be held on ...

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Past Events

2016

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QCRI - IBM Data Science Connect 2016

Download ICS File 16/11/2016 ,

QCRI–IBM Data Science Connect 2016  Doha, Qatar 12.30pm –5:30pm, Wednesday, November 16 HBKU Research Complex, Ground Level Multi-Purpose Room Google Map link to location https://goo.gl/maps/...

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News

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QCRI’s Jalees Reader app launched in more languages

06/12/2016

French and German interfaces added for free app which allows users to upload books and read them offline.

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IBM Watson scientist visits Qatar to present platform that 'thinks like a human'

16/11/2016

IBM Watson’s chief data scientist Romeo Kienzler has visited the Qatar Computing Research Institute to conduct a workshop on Watson, a question-answering platform that can “think like a human”. Mr ...

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QCRI’s BrailleEasy app launched on iOS store

31/08/2016

BrailleEasy, a custom one-handed Braille keyboard developed by the Qatar Computing Research Institute, is now available on the iOS App Store. The Braille keyboard was developed by Barbara Šepič, ...

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