1. Summary

During the time of crisis of the society, an explosive amount of information is produced from many sources, but proper treatment of information is hard in those cases because the pattern of information is different from normal situations. We remember chaotic situations just after 2011 Great East Japan Earthquake. The first problem is to develop information technology to support this situation when the urgency of information is high during the crisis. On the other hand, the amount of information gets smaller some time after the crisis, but we need to have a persepective viewpoint from the accumulated information to take the next step. This informtion is also worth archiving to prepare for the next crisis. The second problem is to support the cycle of information for the long term.

Public Lecture "Crisis Information" introduced some of the ideas. A research project is also introduced in Big Data and Disaster, Crisis News Archive and GeoNLP - mapping crisis information.

2. Related Projects

Natural Disasters

• Weather Disasters
  • Digital Typhoon - Crisis about weather
  • Risk Watcher - Collection and organization of risk-related information
• Earthquake Disasters - Crisis about earthquake
  • Digital Archive of 2011 Great East Japan Earthquake
• Volcano Eruption Disasters - Crisis about volcano eruption

Societal Crisis

• Epidemic Crisis
  • Digital Archive of New Coronavirus Disease (COVID-19)
• Conflict Crisis
  • Digital Archive of Russian Invasion of Ukraine
• Energy Crisis
  • Electrical Japan - Monitoring of electrical energy
  • Power Plants and Disasters

3. References (Complete List)

1. Asanobu KITAMOTO, "Crisis Informatics - How information technology can be used during crises such as disasters?", 2012 NII Public Lectures, the 2th Lecture, 2012-7 (in Japanese) [ Abstract ]
2. Asanobu KITAMOTO, "Crisis Media Project", Report Meeting on Big Data Workshop of Great East Japan Earthquake, 2012-10 (in Japanese) [ Abstract ]
3. Asanobu KITAMOTO, "Bayesian TV: The Design of Crisis Information Media", 2012-2014 Symposium | The Design of Future Society by Informatics - Toward Healthy and Smart Society | First Symposium on the Design of Future Society Using Big Data, 2012-11 (in Japanese) [ Abstract ]
4. Asanobu KITAMOTO, "Bayesian TV: The Design of Crisis Information Media", Second Symposium of "Synthesis of Knowledge for Information Oriented Society", 2012-12 (in Japanese) [ Abstract ]
5. Asanobu KITAMOTO, "Toponym-based Geotagging and Disambiguation for Social Media on Earthquake and Weather Events", 10th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2013), 2013-5 [ Abstract ]
6. Asanobu KITAMOTO, "Big Data-Based Disaster Reduction, and the Role of Humans and Machines", Technical Report of Institute of Electronics, Information, and Communication Engineers (IEICE), Vol. 115, No. 456, pp. 131-131, 2016-2 (Invited) (in Japanese) [ Abstract ]
7. Asanobu KITAMOTO, "Memory Platform for Disasters - Raising Awareness to Typhoon and Earthquake Disasters", International Workshop "Toward Building Regional Platform for Disaster Risk Reduction in Asia", 2016-7 [ Abstract ]
8. João MONTEIRO, Asanobu KITAMOTO, Bruno MARTINS, "Situational Awareness from Social Media Photographs Using Automated Image Captioning", The 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), pp. 203-211, doi:10.1109/DSAA.2017.59, 2017-10 [ Abstract ]
9. Asanobu KITAMOTO, "Irreversibility of Disasters and the Spirit of Archives - Lessons from Digital Typhoon, Great East Japan Earthquake Digital Archives and Memorygraph", Digital Archive Basics 2 Reusing Disaster Records in the Future, Fumihiko IMAMURA, Chikahiko SUZUKI (Eds.), pp. 169-197, Bensei Shuppan, ISBN 978-4-585-20282-0, 2019-8 (in Japanese) [ Abstract ]
10. Asanobu KITAMOTO, "How to Read the Archives of Crisis News? - Comparison among Typhoons, 2011 Great East Japan Earthquake, and the COVID-19 Pandemic", Sixth Convention of Japan Society for Digital Archive, Vol. 5, No. s1, pp. s51-s54, doi:10.24506/jsda.5.s1_s51, 2021-4 (in Japanese) [ Abstract ]
11. Avinash Tulasi, Asanobu KITAMOTO, Ponnurangam Kumaraguru, Arun Balaji Buduru, "An Exploratory Study on Temporally Evolving Discussion around Covid-19 using Diachronic Word Embeddings", Proceedings of the Workshop on Natural Language Processing for Digital Humanities (NLP4DH), pp. 195-202, 2021-12