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Artificial Intelligence for Digital Response

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Artificial Intelligence for Digital Response (AIDR) is a free and open source platform to filter and classify social media messages related to emergencies, disasters, and humanitarian crises.[1][2][3] It has been developed by the Qatar Computing Research Institute and awarded the Grand Prize for the 2015 Open Source Software World Challenge.[4][5][6]

Muhammad Imran stated that he and his team "have developed novel computational techniques and technologies, which can help gain insightful and actionable information from online sources to enable rapid decision-making" - according to him the system "combines human intelligence with machine learning techniques, to solve many real-world challenges during mass emergencies and health issues".[2]

How to use

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It can be used by logging in with ones Twitter credentials and by collecting tweets by specifying keywords or hashtags, like #ChileEarthquake, and possibly a geographical region as well.[7]

Use

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  • It has been deployed in conjunction with UNICEF in Zambia to classify short messages related to AIDS/HIV received through the U-Report platform.[8][9]
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  • Muhammad Imran delivered a keynote talk on the science behind the AIDR system at the International Conference on Information Systems for Crisis Response And Management (ISCRAM).[11]
  • Abdelkader Lattab and Ji Lucas also presented the system at the 2016 QCRI-IBM Data Science Connect event.[12]

See also

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References

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  1. ^ "AIDR (Artificial Intelligence for Digital Response) — Social Tech Guide". Social Tech Guide. Retrieved 6 January 2017.
  2. ^ a b "20 Innovation Showcases winners to exhibit projects at WISH summit". Gulf Times. 30 October 2016. Retrieved 6 January 2017.
  3. ^ "Artificial Intelligence for Digital Response by Muhammad Imran - Research Project on ResearchGate". Retrieved 7 January 2017. {{cite journal}}: Cite journal requires |journal= (help)
  4. ^ "Open Source Software Challenge Winner!". Text on Techs. Retrieved 6 January 2017.
  5. ^ "QCRI's AIDR (Artificial Intelligence for Disaster Response), has been awarded the Grand Prize for the 2015 Open Source Software System Challenge". Retrieved 7 January 2017.
  6. ^ "10th OSS World Challenge 2016". ossaward.org. Archived from the original on 7 January 2017. Retrieved 7 January 2017.
  7. ^ a b Meier, Patrick. Digital Humanitarians: How Big Data Is Changing the Face of Humanitarian Response.
  8. ^ "QCRI technology goes global in tackling health issues". Gulf Times. 16 December 2016. Retrieved 6 January 2017.
  9. ^ "AI helps answer thousands of health queries in Zambia via SMS". New Scientist. 4 April 2016. Retrieved 7 June 2017.
  10. ^ Collins, Katie. "How AI, Twitter and digital volunteers are transforming humanitarian disaster response". Wired UK. Retrieved 7 January 2017.
  11. ^ "The Role of Social Media and Artificial Intelligence for Disaster Response". SlideShare. 28 May 2016. Retrieved 7 June 2017.
  12. ^ "IBM Watson scientist visits Qatar to present platform that 'thinks like a human'". QCRI. Retrieved 7 January 2017.
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