The First International Workshop on Digital Disease Detection using Social Media 2017 (DDDSM-2017) will be held on 27 November 2017 in Taipei, Taiwan. DDDSM-2017 is co-located with the The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017).


Historically the disease outbreaks were detected based on trends observed in the official reports collected at various geographic levels as part of the pre-established surveillance programs. The major drawback of this approach is producing outbreak alerts in timely fashion. Advances in technology and rapid adoption of information sharing platforms such as social media platforms provide new data sources and unique opportunities for researchers to study disease outbreaks. Digital disease surveillance involves monitoring various digital information sources for early warning, detection, rapid response, and management phases.  Unlike manual systems, which relies on traditional disease surveillance program reports to monitor and predict early outbreaks, the current automated digital disease surveillance systems exploit mainly publicly available information on internet such as news, social media and search engines. The objective of this workshop emphasizes the application of the latest advances in advanced data mining algorithmic methods such as deep learning and online learning approach on social media data to detect early signals for an outbreak using social media.

 Topics of Interest

Specific topics of interest of this session include, but are not limited to, the following:

  • Social Network Analysis;
  • Biomedical text mining;
  • Sentiment Analysis;
  • Social media monitoring;
  • Digital disease surveillance;
  • Digital disease detection
  • Biosurveillance

 Important Dates

  • Paper Submission Deadline: September 15, 2017 (extended)
  • Notification of Acceptance: October 2, 2017
  • Camera-Ready Deadline: October 10, 2017
  • DDDSM-2017 Workshop: November 27, 2017
    ** All deadlines are calculated at 11:59pm UTC-7

Special Issue

 Authors of selected papers will be invited to submit extended versions of their papers to a journal special issue.


  • Jitendra Jonnagaddala – School of Public Health and Community Medicine, UNSW Sydney, Australia; 
  • Hong-Jie Dai -National Taitung University, Taiwan;
  • Yung-Chun Chang – Taipei Medical University, Taiwan.

Program Committee Members

  • Siaw-Teng Liaw,  School of Public Health & Community Medicine (including WHO Collaborating Centre on eHealth & Yunus Social Business Health Hub), UNSW Sydney , Australia
  • Abrar Chughtai, School of Public Health and Community Medicine, UNSW Sydney, Australia;
  • Dillon Adam, School of Public Health and Community Medicine, UNSW Sydney, Australia;
  • Chau Bui, School of Public Health and Community Medicine, UNSW Sydney, Australia;
  • Padmanesan Narasimhan, School of Public Health and Community Medicine, UNSW Sydney, Australia;
  • Mahfuz Ashraf, School of Public Health and Community Medicine, UNSW Sydney, Australia;
  • Chih-Hao Ku - Lawrence Technological University, USA
  • Lun-Wei Ku, Academia Sinica, Taiwan;
  • Jheng-Long Wu, Academia Sinica, Taiwan;
  • Nai-Wen Chang, Academia Sinica, Taiwan;
  • Yu-Lun Hsieh - Academia Sinica, Taiwan;
  • Chien Chin Chen, National Taiwan University, Taiwan;
  • Hen-Hsen Huang, National Taiwan University, Taiwan;
  • I-Jen Chiang, Taipei Medical University, Taiwan;
  • Hui-Chun Hung, Taipei Medical University, Taiwan;
  • Emily Chia-Yu Su, Taipei Medical University, Taiwan;
  • Richard Tzong-Han Tsai, National Central University, Taiwan;
  • Min-Yuh Day, Tamkang University, Taiwan;
  • Swapna Gottipati, Singapore Management University;
  • Feiyan Hu, Dublin City University;
  • Karin Verspoor, School of Computing and Information Systems, The University of Melbourne, Australia;
  • Dingcheng Li, Research scientist Baidu, USA






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