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Databeers: Big Crisis Data

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Carlos Castillo (ChaTo)
Carlos Castillo (ChaTo)

Brief presentation on Big Crisis Data at Data Bees Barcelona. Get the book: http://bigcrisisdata.org/

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Ph.D. in Information Retrieval, University of Chile Computer scientist seeking to address issues of social significance through data mining and interdisciplinary research. Director of Research for Data Science Eurecat @Eurecat_news Big Crisis Data, Towards Participatory Data Mining Carlos Castillo @ChaToX Trigger warning: this talk contains footage from recent disaster situations
Topic of this short talk: CRISIS INFORMATICS Patrick Meier QCRI → Muhammad Imran QCRI Irina Temnikova QCRI Aditi Gupta IIIT Delhi → P. K. Kumaraguru IIIT Delhi Alexandra Olteanu EPFL → Ji Lucas QCRI Ferda Ofli QCRI Hemant Purohit Wright State George Mason→ Book (2016) from Cambridge University PressWork done (2012-2015) at Qatar Computing Research Institute Sarah Vieweg QCRI Fernando Diaz Microsoft
4 Two months ago (March 22, 2016) Police asks the public: 1) to use social media, not phone; 2) to reduce video/audio streaming; 3) to avoid sharing real-time information about police actions Attacks in the airport and a metro station in Brussels kill 35 and injure 340
5 2,800-words Wikipedia article In the first 8 hours after the attacks ... Reddit post with 17,000 comments 700+ YouTube videos per hour Facebook pages and Safety Check Tweets and photos
6 BIGCRISISDATA.ORG A Common Pattern Disaster or mass-convergence event People have increased communication needs People are familiar with social media Internet is not bullet-proof but fairly resilient Emergency agencies encourage social media usage Intensive usage of social media by the public for emergency communications
7 BIGCRISISDATA.ORG ExampleS from #SMEM papers “OMG! The fire seems out of control: It’s running down the hills!” Bush fire near Marseilles, France, in 2009 [Longueville et al. 2009] “Red River at East Grand Forks is 48.70 feet, +20.7 feet of flood stage... #flood09” Red River Valley floods in 2009 [Starbird et al. 2010] “My moms backyard in Hatteras. That dock is usually about 3 feet above water [photo]” Hurricane Sandy 2013 [Leavitt and Clark 2014] “Sirens going off now!! Take cover...be safe!” Moore Tornado 2013 [Blanford et al. 2014]. “There is shooting at Utøya, my little sister is there and just called home!” 2011 attacks in Norway [Perng et al. 2013]
8 BIGCRISISDATA.ORG Data miner reflex: to classify and cluster Caution & Advice Information Sources Damage & Casualties Donations Gov Eyewitness Media NGO Outsider ... ...
9 BIGCRISISDATA.ORG A study of Twitter on 26 crises Results from Olteanu et al. CSCW 2015. Data available at http://crisislex.org/
11 BIGCRISISDATA.ORG Temporal progression Peak 12 hr 24 hr 36 hr 48 hr ... several days Caution and advice Sympathy and support Affected individuals Infrastructure and utilities Other specific information Donations and volunteering Results from Olteanu et al. CSCW 2015. Data available at http://crisislex.org/
12 Information Extraction + donations matching ... Classified tweets @TheNGO looking for blood donors at the Riverside Stadium @APerson do you know where can I donate blood near Middlesbrough? See Purohit et al. 2013 for automatic donations matching.
13Facebook: Visualizing Crisis Relief in Nepal (September 2015).. The geography of an event 2015 Nepal earthquake
15 BIGCRISISDATA.ORG Community-powered crisis mapping
16 BIGCRISISDATA.ORG Crowdsourced Mapping See Ofli et al. 2016 for details.
17 BIGCRISISDATA.ORG Automatic mapping Floods in Germany De Albuquerque et al. 2015 Dengue in Brazil Gomide et al. 2015 Earthquakes in Italy Cresci et al. 2014
18 BIGCRISISDATA.ORG hybrid mapping: AIDR + MICROMAPPERS Manual processing: crowdsourcing Automatic processing: machine learning See Imran et al. 2014 for details on AIDR. Find out more at http://aidr.qcri.org/
19See Imran et al. 2014 for details on AIDR. Find out more at http://aidr.qcri.org/
20 BIGCRISISDATA.ORG The future: Real-Time Crowdsourced Mining ● Mapping disaster-affected areas using UAVs ● Is crowdsourced stream mining possible? See Patrick Meier's blog post from Nov. 2015 for details.
21Visit the UAViators community for more information on video clickers.
22 BIGCRISISDATA.ORG Computationally feasible Supported by data Useful Good projects in this space Temptation! Danger! Poorly planned projects :-( AI-complete problems
Thank YOU! Patrick Meier QCRI → Muhammad Imran QCRI Irina Temnikova QCRI Aditi Gupta IIIT Delhi → P. K. Kumaraguru IIIT Delhi Alexandra Olteanu EPFL → Ji Lucas QCRI Ferda Ofli QCRI Hemant Purohit Wright State George Mason→ Sarah Vieweg QCRI Fernando Diaz Microsoft chato@acm.org BIGCRISISDATA.ORG
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Databeers: Big Crisis Data

  • 1. Ph.D. in Information Retrieval, University of Chile Computer scientist seeking to address issues of social significance through data mining and interdisciplinary research. Director of Research for Data Science Eurecat @Eurecat_news Big Crisis Data, Towards Participatory Data Mining Carlos Castillo @ChaToX Trigger warning: this talk contains footage from recent disaster situations
  • 2. Topic of this short talk: CRISIS INFORMATICS Patrick Meier QCRI → Muhammad Imran QCRI Irina Temnikova QCRI Aditi Gupta IIIT Delhi → P. K. Kumaraguru IIIT Delhi Alexandra Olteanu EPFL → Ji Lucas QCRI Ferda Ofli QCRI Hemant Purohit Wright State George Mason→ Book (2016) from Cambridge University PressWork done (2012-2015) at Qatar Computing Research Institute Sarah Vieweg QCRI Fernando Diaz Microsoft
  • 3. 4 Two months ago (March 22, 2016) Police asks the public: 1) to use social media, not phone; 2) to reduce video/audio streaming; 3) to avoid sharing real-time information about police actions Attacks in the airport and a metro station in Brussels kill 35 and injure 340
  • 4. 5 2,800-words Wikipedia article In the first 8 hours after the attacks ... Reddit post with 17,000 comments 700+ YouTube videos per hour Facebook pages and Safety Check Tweets and photos
  • 5. 6 BIGCRISISDATA.ORG A Common Pattern Disaster or mass-convergence event People have increased communication needs People are familiar with social media Internet is not bullet-proof but fairly resilient Emergency agencies encourage social media usage Intensive usage of social media by the public for emergency communications
  • 6. 7 BIGCRISISDATA.ORG ExampleS from #SMEM papers “OMG! The fire seems out of control: It’s running down the hills!” Bush fire near Marseilles, France, in 2009 [Longueville et al. 2009] “Red River at East Grand Forks is 48.70 feet, +20.7 feet of flood stage... #flood09” Red River Valley floods in 2009 [Starbird et al. 2010] “My moms backyard in Hatteras. That dock is usually about 3 feet above water [photo]” Hurricane Sandy 2013 [Leavitt and Clark 2014] “Sirens going off now!! Take cover...be safe!” Moore Tornado 2013 [Blanford et al. 2014]. “There is shooting at Utøya, my little sister is there and just called home!” 2011 attacks in Norway [Perng et al. 2013]
  • 7. 8 BIGCRISISDATA.ORG Data miner reflex: to classify and cluster Caution & Advice Information Sources Damage & Casualties Donations Gov Eyewitness Media NGO Outsider ... ...
  • 8. 9 BIGCRISISDATA.ORG A study of Twitter on 26 crises Results from Olteanu et al. CSCW 2015. Data available at http://crisislex.org/
  • 9. 11 BIGCRISISDATA.ORG Temporal progression Peak 12 hr 24 hr 36 hr 48 hr ... several days Caution and advice Sympathy and support Affected individuals Infrastructure and utilities Other specific information Donations and volunteering Results from Olteanu et al. CSCW 2015. Data available at http://crisislex.org/
  • 10. 12 Information Extraction + donations matching ... Classified tweets @TheNGO looking for blood donors at the Riverside Stadium @APerson do you know where can I donate blood near Middlesbrough? See Purohit et al. 2013 for automatic donations matching.
  • 11. 13Facebook: Visualizing Crisis Relief in Nepal (September 2015).. The geography of an event 2015 Nepal earthquake
  • 13. 16 BIGCRISISDATA.ORG Crowdsourced Mapping See Ofli et al. 2016 for details.
  • 14. 17 BIGCRISISDATA.ORG Automatic mapping Floods in Germany De Albuquerque et al. 2015 Dengue in Brazil Gomide et al. 2015 Earthquakes in Italy Cresci et al. 2014
  • 15. 18 BIGCRISISDATA.ORG hybrid mapping: AIDR + MICROMAPPERS Manual processing: crowdsourcing Automatic processing: machine learning See Imran et al. 2014 for details on AIDR. Find out more at http://aidr.qcri.org/
  • 16. 19See Imran et al. 2014 for details on AIDR. Find out more at http://aidr.qcri.org/
  • 17. 20 BIGCRISISDATA.ORG The future: Real-Time Crowdsourced Mining ● Mapping disaster-affected areas using UAVs ● Is crowdsourced stream mining possible? See Patrick Meier's blog post from Nov. 2015 for details.
  • 18. 21Visit the UAViators community for more information on video clickers.
  • 19. 22 BIGCRISISDATA.ORG Computationally feasible Supported by data Useful Good projects in this space Temptation! Danger! Poorly planned projects :-( AI-complete problems
  • 20. Thank YOU! Patrick Meier QCRI → Muhammad Imran QCRI Irina Temnikova QCRI Aditi Gupta IIIT Delhi → P. K. Kumaraguru IIIT Delhi Alexandra Olteanu EPFL → Ji Lucas QCRI Ferda Ofli QCRI Hemant Purohit Wright State George Mason→ Sarah Vieweg QCRI Fernando Diaz Microsoft chato@acm.org BIGCRISISDATA.ORG
  • 21. 24
  • 22. 25