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]

## Contents

* 1 How to use
* 2 Use
* 3 Related talks and events
* 4 See also
* 5 References
* 6 External links

## 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]

* AIDR was used for the first time during the 2010 Pakistan floods.[10] The first real test of AIDR took place during the 2014 Iquique earthquake in Chile .[7]

## 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).[11]
* Abdelkader Lattab and Ji Lucas also presented the system at the 2016 QCRI-IBM Data Science Connect event.[12]

## See also

* Crowdmapping
* Digital humanitarianism
* Social media analytics
* Social media mining

## References

1. ↑ "AIDR (Artificial Intelligence for Digital Response) — Social Tech Guide". Social Tech Guide. http://www.socialtech.org.uk/projects/aidr-artificial-intelligence-for-digital-response/. Retrieved 6 January 2017.
2. ↑ 2.0 2.1 "20 Innovation Showcases winners to exhibit projects at WISH summit". Gulf Times. 30 October 2016. http://www.gulf-times.com/story/519375/20-Innovation-Showcases-winners-to-exhibit-project. Retrieved 6 January 2017.
3. ↑ Artificial Intelligence for Digital Response by Muhammad Imran - Research Project on ResearchGate. https://www.researchgate.net/project/Artificial-Intelligence-for-Digital-Response. Retrieved 7 January 2017.
4. ↑ "Open Source Software Challenge Winner!". Text on Techs. http://textontechs.com/2015/11/open-source-software-challenge-winner/. 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". http://qcri.org.qa/resources/in-the-media/oss-2015?backArt=57. Retrieved 7 January 2017.
6. ↑ "10th OSS World Challenge 2016". http://ossaward.org/eng/m0301view.do?board_seq=1. Retrieved 7 January 2017.
7. ↑ 7.0 7.1 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. http://www.gulf-times.com/story/524924/QCRI-technology-goes-global-in-tackling-health-iss. Retrieved 6 January 2017.
9. ↑ "AI helps answer thousands of health queries in Zambia via SMS". New Scientist. 4 April 2016. https://www.newscientist.com/article/2083044-ai-helps-answer-thousands-of-health-queries-in-zambia-via-sms. Retrieved 7 June 2017.
10. ↑ Collins, Katie. "How AI, Twitter and digital volunteers are transforming humanitarian disaster response". Wired UK. https://www.wired.co.uk/article/digital-humanitarianism. Retrieved 7 January 2017.
11. ↑ "The Role of Social Media and Artificial Intelligence for Disaster Response". SlideShare. 28 May 2016. https://www.slideshare.net/mimran15/the-role-of-social-media-and-artificial-intelligence-for-disaster-response. Retrieved 7 June 2017.
12. ↑ "IBM Watson scientist visits Qatar to present platform that 'thinks like a human'". QCRI. http://qcri.org.qa/resources/news/qcri-ibm?backArt=1. Retrieved 7 January 2017.

## External links

* on GitHub

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