[hpc-announce] CFP: 1st International Workshop on Social Media Analytics for Healthcare (SMA4H)

Fri May 18 08:45:52 CDT 2018

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                                                            CALL FOR PAPERS

1st International Workshop on Social Media Analytics for Healthcare (SMA4H)

Workshop Website:  <http://sma4h.icar.cnr.it/> http://sma4h.icar.cnr.it/

Held in conjunction with IEEE/WIC/ACM International Conference on Web
Intelligence 2018 (WI'18) 

Conference Website:  <http://webintelligence2018.com/>
http://webintelligence2018.com/

December 3-6, 2018, Santiago, Chile 

Sponsored By (among others):

Web Intelligence Consortium (WIC)

Association for Computing Machinery (ACM) IEEE Computer Society

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Introduction

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The fast expansion of social media in the last few years is making available
an enormous and continuous stream of user-generated contents containing
invaluable information that can be used to understand, in near real time,
human life dynamics. These massive quantities of data could support a wide
range of medical and healthcare applications, including among others
clinical trials and decision support, disease surveillance, personalized
medicines and population health management. 

In the public health area, especially, physicians could take a great
advantage since the available huge data can be gathered faster and at a
lower cost, compared to the traditional sources, mainly surveys. The
pervasiveness and crowdsourcing power of social media data allow to model
phenomena that was not possible before because either too expensive or
outright impossible to answer, such as distribution of health information in
a population, tracking health information trends over time and identifying
gaps between health information supply and demand. Besides, social media
combines textual, temporal, geographical and network data, opening up unique
opportunities to study the interplay between human mobility, social
structure and disease transmission. 

Although social media analytics research for health applications is still
very much its infancy, it received a great attention along recent years.
Several research studies appeared including, influenza surveillance,
pharmacovigilance, user behavioral patterns, drug abuse, depression,
well-being, assisted living and tracking infectious/viral disease spread.

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Aims and Topics

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Big data analytics applications take advantage of such an explosion in
social data to extract insights for improving healthcare. Social media data
can be mined to obtain patterns and knowledge that can be leveraged in
descriptive as well as predictive models of population health. By
discovering associations and understanding patterns and trends within the
data, big data analytics has the potential to improve the overall
effectiveness of public health monitoring and analysis and significantly
reduce its latency and costs. 

The First International Workshop on Social Media Analytics for Healthcare
(SMA4H) provides a venue to promote collaborations, present and exchange
ideas, practices and advances specific to social media use in the
particularly challenging area of health applications. It brings together
individuals representing academia, public health researchers and
practitioners and provides a forum for dialogue within and across different
disciplines in the field of Web Intelligence: collective intelligence, data
science, human-centric computing, knowledge management, network science,
social network analysis, machine learning, statistical modelling,
computational linguistics, epidemiology, sociology, and public health
research. The workshop is an excellent opportunity to shape the future of
health delivery, communication and practice by discussing novel approaches
to big data analytics and mining methods that are applicable to social media
data and may prove invaluable for health monitoring, surveillance, disease
spreading and outbreaks prediction. 

The workshop solicits empirical, experimental, methodological, and
theoretical research reporting original and unpublished results on social
media analysis and mining on topics in the realm of healthcare and health
informatics along with applications to real life situations. This can mean
new models, new datasets, new algorithms, or new applications.

Topics of interest include, but are not limited to: 

*	Crowdsourcing of network health data 

*       Methods for the automatic detection and extraction of health-related
concepts 

*       Data pre-processing and cleansing to deal with noise and missing
data 

*       Classifying and clustering of temporal health data in high
dimensional spaces

*       Application of deep learning methods to health data

*       Novel architectures for scalable health data analysis and mining

*       Statistics and probability in large-scale health social data
analysis

*       Community discovery and analysis 

*       Large-scale graph algorithms for social network analysis

*       Social geography and spatial networks

*       Mobility mining

*       Spatio-temporal health data mining

*       Spatio-temporal prediction of pandemics

*       Methods for capturing outbreaks of infectious diseases

*       Modeling the health status and well-being of individuals

*       Models to predict the users’ moods from social posts

*       Real-time syndromic surveillance and early detection of emerging
disease

*       Virus spread monitoring and modeling

*       Detect health-related topics of discussion and events

*       Drug abuse and alcoholism incidence monitoring 

*       Methodologies and measures to understand patterns and trends for
general public health research

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Important dates

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August 31, 2018: Paper Submission deadline 

September 28, 2018: Paper Notification 

October 12, 2018: Camera-Ready Paper Due

December 03, 2018: Workshop

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Paper submission

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Submitted papers must be unpublished and not considered elsewhere for
publication. Submissions will undergo a rigorous review process handled by
the Technical Program Committee. Papers will be selected based on their
originality, significance, relevance, and clarity of presentation. Only
electronic submissions in PDF format through the
<https://wi-lab.com/cyberchair/2018/wi18/scripts/ws_submit.php?subarea=S>
workshop submission site will be considered. Papers must be in English, up
to 4 pages in the ACM 2-column format, including references. The ACM
Proceedings Manuscript Formatting Guidelines can be found at:
<https://www.acm.org/publications/proceedings-template>
https://www.acm.org/publications/proceedings-template 

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Paper publication

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At least one of the authors must register and present the paper, if
accepted. Registered and presented papers will be included in the Workshop
Proceedings published by ACM and indexed by EI. They will also be invited to
be expanded and submitted for possible publication in an International
Journal special issue.

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Workshop Chairs

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Carmela Comito, National Research Council, Institute of High Performance
Computing and Networking (ICAR-CNR), Italy

Agostino Forestiero, National Research Council, Institute of High
Performance Computing and Networking (ICAR-CNR), Italy

Clara Pizzuti, National Research Council, Institute of High Performance
Computing and Networking (ICAR-CNR), Italy

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Program Committee

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Stefano Cagnoni, University of Parma, Italy

Andrea Calì, University of London, United Kingdom

Mario Ciampi, National Research Council (ICAR-CNR), Italy

Anne Laurent, LIRMM, University of Montpellier, France

Corrado Loglisci, University of Bari, Italy

David Manset, GNUBILA/MAAT, France

Monica Mordonini, University of Parma, Italy

Mehdi Sheikhalishahi, InnoTec21 GmbH, Germany

Paolo Trunfio, University of Calabria, Italy

Ester Zumpano, University of Calabria, Italy

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Contacts

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 <mailto:carmela.comito at icar.cnr.it> carmela.comito at icar.cnr.it

 <mailto:agostino.forestiero at icar.cnr.it> agostino.forestiero at icar.cnr.it

 <mailto:clara.pizzuti at icar.cnr.it> clara.pizzuti at icar.cnr.it

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