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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. It has been developed by the Qatar Computing Research Institute and awarded the Grand Prize for the 2015 Open Source Software World Challenge.

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".

How to use

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.

Use

  • It has been deployed in conjunction with UNICEF in Zambia to classify short messages related to AIDS/HIV received through the U-Report platform.

Related talks and events

  • 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).
  • Abdelkader Lattab and Ji Lucas also presented the system at the 2016 QCRI-IBM Data Science Connect event.

See also

References

  1. "AIDR (Artificial Intelligence for Digital Response) — Social Tech Guide". Social Tech Guide. Retrieved 6 January 2017.
  2. ^ "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. ^ 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.

External links

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