EpiMine: Workshop on Mining and Policy-Making for Epidemic Surveillance

13.04.2021 -  
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at IEEE 21st International Conference on Data Mining, Dec. 7-10, 2021, Auckland, New Zealand

 

 

Description

Epidemics of infectious diseases are triggered by factors such as changes in the ecology of the host population, genetic changes in an established virus, or a novel pathogen. An example of such a pathogen is Covid-19. Its rapid spread led to it being declared an epidemic at a global level, i.e., a pandemic, by the World Health Organization (WHO). Several epidemics have occurred in the past, e.g., the Spanish flu, HIV, and SARS, which resulted in a substantial burden for the world in terms of health risks and unnecessary deaths, economical risks, and global financial turmoil. Undeniably, the need for effective prevention measures and mitigation strategies for Covid-19 and future pandemics is highly urgent.          

At the same time, we are currently observing the effects of various mitigation measures taken by different countries at a national and international level. These measures mostly involve lockdowns at different granularities, durations, and frequencies. Moreover, social media plays a detrimental role during pandemics by monitoring and reflecting the opinion and sentiment of the population. The use of social media has also been increased due to the need for physical social distancing as a mitigation strategy, resulting in the rapid rise and adoption of social media platforms for educational, professional, and social purposes.

This workshop will focus on knowledge discovery, mining, and understanding of mitigation strategies and measures during a pandemic so as to facilitate effective and timely policy- and decision making. Examples of the main topics to be covered in EpiMine include:

  • understanding the effects of lockdowns
  • movement tracing under lockdowns
  • effects of lockdowns on social media usage
  • understanding the role of social media during lockdowns
  • moving from the physical to the virtual world during lockdowns
  • mining and understanding epidemics
  • reinforcement learning for prevention and mitigation of pandemics

 

Preliminary list of invited speakers

  • Martin Atzmueller, Osnabrück University, Germany [confirmed]
  • Muhammad Imran, Qatar Computing Research Institute, Qatar [tentative]

 

Workshop Organizers

  • Myra Spiliopoulou, Otto-von-Guericke-Univ Magdeburg
  • Panagiotis Papapetrou, Stockholm University
  • Uli Niemann, Otto-von-Guericke-Univ Magdeburg
  • Maria Bamba, Stockholm University

 

Programme Committee (TBA)

 

Important Dates

  • Paper submission: September 3, 2021
  • Notification: September 24, 2021
  • Camera-ready deadline and copyright forms: October 1, 2021
  • Conference dates: December 7-10, 2021

 

Contact information of the organizers

  • Myra Spiliopoulou

Research Group on Knowledge Management and Discovery (KMD)

Faculty of Computer Science, Otto-von-Guericke-University Magdeburg

PO Box 4120, D-39016 Magdeburg, Germany

Email: myra@ovgu.de

http://www.kmd.ovgu.de/Team/Academic+Staff/Myra+Spiliopoulou.html

 

  • Panagiotis Papapetrou

Data Science Group

Department of Computer and Systems Sciences

PO Box 7003, 164 07, Stockholm, Sweden

Email: panagiotis@dsv.su.se

URL: http://people.dsv.su.se/~panagiotis/

 

  • Uli Niemann

Research Group on Knowledge Management and Discovery (KMD)

Faculty of Computer Science, Otto-von-Guericke-University Magdeburg

PO Box 4120, D-39016 Magdeburg, Germany

Email: uli.niemann@ovgu.de

URL: https://www.kmd.ovgu.de/Team/Academic+Staff/Uli+Niemann.html

 

  • Maria Bampa

Data Science Group

Department of Computer and Systems Sciences

PO Box 7003, 164 07, Stockholm, Sweden

Email: maria.bampa@dsv.su.se

URL: https://mariabampa.blogs.dsv.su.se

 

Letzte Änderung: 26.04.2021 - Ansprechpartner:

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