Artificial Intelligence for Digital Response

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

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
  • 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]
  • 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

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 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. Retrieved 7 June 2017.
  12. "IBM Watson scientist visits Qatar to present platform that 'thinks like a human'". QCRI. Retrieved 7 January 2017.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.