Our Research >‏ Data Analytics >‏ Projects and Demos

Projects and Demos

Visit the Data Analytics site for more information about the team's work.  Some of our more recent projects and demos include:
  • NADEEF (which means ''clean'' in Arabic) is an extensible and generalized data cleaning system.  Released as open source, NADEEF allows users to implement their own data repairing algorithms to replace default NADEEF data repair implementation. 
  • Rayyan: The Systematic Reviews Web App.  Rayyan aims to build tools to support the process of creating, analyzing, and maintaining systematic reviews, in terms of data extraction, cleaning, integration, and mining of published clinical trials and journal articles. A production system is available here and a demo here.
  • KATARA aims to perform trusted data cleaning by using reliable knowledge bases augmented with crowd sourcing for validation.
  • Analytics on Data Anomalies. Oftentimes users face errors in the results of a query. We introduce DBRx, a system for discovering concise explanations of data anomalies. 
  • Web Data Integration. Web data is a great opportunity, but using it in analytics requires new solution to overcome the varierty and volatily. In this project we exploit web data for data integration tasks.
  • The World Bank's Auto Geotagger is a prototype which automatically identifies locations in documents from the World Bank Projects Data API using the Stanford Name Entity Recognizer (NER) and Alchemy, geocodes them with the Google Geocoder, Yahoo! Placefinder , and Geonames and visualizes them on a map.
  • Tamr, a start-up founded in 2013, is based on technology developed at QCRI that allows for scalable data curation and integration by deduplicating the resulting dataset composite.  Link to the paper here.

Research Director

Dr. Sanjay Chawla

QCRI provides an ideal environment to conduct high-impact research which can transcend disciplinary boundaries.
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Research Director

Asharaf Aboulnga2

Dr. Ashraf Aboulnaga

QCRI is an ambitious and energetic place that is on track to become a top research center worldwide. I want to be part of making that happen.
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Principal Scientist

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Dr. Mourad Ouzzani

To be part of something different than what I had been used to at Purdue University and contribute to the first computing research institution in the region.
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Principal Scientist

Dr, Xaiosong Ma 

Dr. Xiaosong Ma

I am fortunate to be part of QCRI's experiments in conducting solid, problem-driven, and impact-oriented research in computer science and engineering
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Principal Scientist


Dr. Halima Bensmail

Leadership is the most important factor that attracted me to QCRI. Need for creativity is the second factor. Innovation is a very important factor at QCRI. At QCRI we are being challenged continuously, we have been asked to think big. We are supposed to do research with applications that are of great impact, nationally and internationally.
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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

2019

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QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

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"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

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(MLDAS 2019) Machine Learning and Data Analytics Symposium

Download ICS File 01/04/2019  - 02/04/2019 ,

Machine Learning and Data Analytics Symposium - MLDAS 2019 Building on the success of the three previous events , Boeing and QCRI will hold the fifth Machine Learning and Data Analytics Symposium (...

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News

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QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

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UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

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Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

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