Dr. Carlos Castillo

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Principal Scientist
Social Computing
+(974) 44541228
QCRI is an energetic research lab providing a great opportunity for starting a new line of research. Also, Doha is a city full of adventurers.

Research Focus at QCRI

Carlos focuses on news and crisis. On the news side, he works on developing methods that help journalists make sense of social media around news events. On the crisis side, he works on extracting timely and credible information for social media, humanitarian, and crisis response purposes.

Previous Experience

Carlos is a web miner with a background on information retrieval, and has been influential in the areas of adversarial web search and web content quality and credibility. He is an active researcher with more than 60 publications in top-tier international conferences and journals, including two monographs on Adversarial Web Search and Information and Influence Propagation, and roughly 4700 citations.

He received his Ph.D from the University of Chile, and was a visiting scientist at Universitat Pompeu Fabra (2005) and Sapienza Universitá di Roma before working as a research scientist at Yahoo! Research for six years. He has served in the PC or SPC of all major conferences in his area (WWW, WSDM, SIGIR, KDD, CIKM, etc.). He was PC co-chair of WSDM 2014, and co-organized the Adversarial Information Retrieval Workshop and Web Spam Challenge in 2007 and 2008, the ECML/PKDD Discovery Challenge in 2010 and 2014, and the Web Quality Workshop from 2011 to 2014.

Professional Experience

 

Professional Associations and Awards

 

Education

 

Selected Research

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In the Media

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Algorithm can create a bridge between Clinton and Trump supporters

20/02/2017

A growing number of people have expressed their concern about high levels of polarization in society. For instance, the World Economic Forum's report on global risks lists the increasing societal ...

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The hero big data needs? Data Civilizer helps scientists conquer the clutter

29/01/2017

Big data is a big deal. With these huge data sets, analysts can gain unprecedented insight into the hidden patterns of fields like physics, healthcare, and finance. Collecting and analyzing this data...

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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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Upcoming Events

2017

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 (...

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Past Events

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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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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 Releases

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Boeing Partners with QCRI for fourth annual Machine Learning and Data Analytics Symposium (MLDAS)

09/02/2017

The Boeing Company has announced that it will once again partner with the Qatar Computing Research Institute (QCRI), part of Hamad bin Khalifa University, to host the fourth annual Machine Learning ...

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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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