[AISWorld] SDAI 2019 - EAI International Conference on Social Data and Artificial Intelligence

[Michael Dohan]

 Apologies for cross-posting.
*SDAI 2019 - EAI International Conference on Social Data and Artificial
Intelligence*August 7-9, 2019
Minneapolis, United States
http://sdai-conf.org/call-for-papers/
Topics

Authors are encouraged to submit previously unpublished original papers in
the following areas:

   - Social Data inadequacies and inconsistencies
   - Predictive models of social behaviours
   - Infrastructure and architecture for testing social theories
   - Data collection and analysis platforms
   - Relevance of IoT for social science theories
   - Building capacity to continuously collect data across a range of
   social media networks
   - Designing efficient parsers to deal with noisy social media datasets
   for real-time tracking of health issues, diseases and wellness
   - Designing tools to map and measure the effectiveness of health
   campaigns by healthcare organizations
   - Cross-validating the predictive models of social media datasets with
   ground truth data
   - Developing frameworks and algorithms to perform real-time analysis of
   social media datasets

*Scope*

There are two main themes of the conference

A. Social Data and Artificial Intelligence: One of the themes of this
conference is to analyze and formulate new perspective of social theories
and develop computational algorithms using large scale data sets. The
research articles should incorporate different computational algorithms and
data analysis techniques to address the problem of inconsistencies,
inaccuracies and inadequacies of social data for policy making. The use of
advanced artificial intelligence algorithms and technologies is encouraged.

B. Social Media Data Analysis in Health: Research suggests that more and
more people rely on online sources for health information including
symptoms, treatments and general health-related advice. Moreover, the user
behaviour currently active on social media demonstrates an openness to
share facts related to their current health status. Such data could be used
to provide real-time tracking and prediction of the spread of disease and
other health concerns, or provide vital information about the effectiveness
of the public health awareness strategies of health agencies such as Health
Canada, the Centre for Disease Control (CDC) or the World Health
Organization (WHO). However, the current understanding of online health
data produced through social networks is limited in important ways: (a)
existing databases are project specific and data gathering mechanisms are
time-constrained; (b) existing health-tracking tools depend on single
interfaces such as Facebook, Twitter or Instagram, and (c) there is a lack
of capacity for real-time mapping of health issues.
*Topics*

Authors are encouraged to submit previously unpublished original papers in
the following areas:

   - Social Data inadequacies and inconsistencies
   - Predictive models of social behaviours
   - Infrastructure and architecture for testing social theories
   - Data collection and analysis platforms
   - Relevance of IoT for social science theories
   - Building capacity to continuously collect data across a range of
   social media networks
   - Real-time tracking and filtering of noisy social media datasets
   - Designing decision-making tools to empower organizations in harnessing
   social media and AI for their campaigns
   - Cross-validating the predictive models of social media datasets with
   ground truth data
   - Developing  frameworks and algorithms to perform real-time analysis of
   social media datasets.

*Publication*

All registered papers will be submitted for publication by Springer and
made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services,
Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP,
as well as EAI’s own EU Digital Library (EUDL).

Authors of selected best accepted and presented papers will be invited to
submit an extended version to

   - Mobile Networks and Applications (MONET) Journal (IF: 2.497)
   <https://www.springer.com/engineering/signals/journal/11036>
   - “Big Data Driven IoT for Smart Cities
   <https://www.mdpi.com/journal/sensors/special_issues/big_data_iot>”
   (with additional article processing fee)

All accepted authors are eligible to submit an extended version in a fast
track of:

   - EAI Endorsed Transactions on Security and Safety
   <http://eudl.eu/issue/sesa/4/13>

*Paper submission*

Papers should be submitted through EAI ‘Confy <http://confy.eai.eu/52613>‘
system, and have to comply with the Springer format (see Author’s kit
section <http://sdai-conf.org/authors-kit/>).
*Important dates*

*Full Paper Submission deadline*
15 March 2019

*Notification deadline*
15 May 2019

* Camera-ready deadline*
1 July 2019

* Start of Conference*
7 August 2019

* End of Conference*
9 August 2019


-- 
Michael S. Dohan (PhD)
Assistant Professor (Information Systems), Faculty of Business
Administration
Director, Center for Innovation and Entrepreneurship Research
Lakehead University