-------- Forwarded Message --------
Dear Colleagues:
Please consider submitting a manuscript to the Inaugural
Computational
Social Science Research in Information Systems minitrack under the
AMCIS
2019 Data Science and Analytics for Decision Support Track. AMCIS
2019 will
take place in Cancun, Mexico on August 15-17.
<http://airmail.calendar/2019-08-15%2012:00:00%20PDT> The
online submission
system opens on January 7
<http://airmail.calendar/2019-01-07%2012:00:00%20PST> and
closes on March 1.
<http://airmail.calendar/2019-03-01%2012:00:00%20PST>
Following is a short
description of our minitrack and if you have any other questions,
do not
hesitate to contact us. We look forward to seeing you in Mexico
next year.
We live in a data-rich world. Virtually all of our activities are
recorded
and stored, providing an abundant source of data and an
unprecedented
opportunity to address perennial questions in social science,
especially in
Information Systems. Thanks to the implosion in data analytics
tools such
as data mining, machine learning, artificial intelligence,
researchers have
the ability to augment understanding of existing problems and
elucidate
current perplexing issues. Large-scale problems are no longer a
hard-to-reach problem, but an interesting one with a plethora of
research
directions. Recognizing this trend, articles in leading research
outlets
like Nature and Communications of the ACM have started to solicit
calls in
this nascent research field to attract more researchers to work on
interesting problems. As a guideline for future researchers, even
a
manifesto of computation social science has been published.
As a trailblazer in data management, data manipulation, data
analytics, and
information extraction, Information Systems has the ability to
demonstrate
both rigor and relevance of answering social science questions
through the
innovative use of data and data analytics algorithms.
This minitrack encourages research on current and future
challenges and
opportunities relating to the application of computational
algorithms to
solve, explain, or unveil social phenomena. Submissions may focus
on novel
algorithm designs, data aggregation and explanation, new and
interesting
directions in explaining and solving social phenomena. Research in
any
domains are welcome, including but not pertaining only to,
healthcare,
technology adoption, social media, politics, social benefit
distribution,
food deserts, cybercrime, privacy, and smart government. Below is
a list of
recommended topics, however, other relevant topics are also
welcome:
- Algorithm designs in computational social science
- Computational Social Science strategies and influences in
Information
Systems
- The role of Information Systems in Computational Social Science
- Computational Social Science interdisciplinary research
- Computational Social Science in Cybersecurity, Cyberforensics,
and
Privacy
- Computational Social Science with Big Data applications
- Computational Social Science in Politics
- Ethics of Computational Social Science research on human
behavior
Submission Deadline: March 1, 2019 at 10:00am PST
<http://airmail.calendar/2019-03-01%2010:00:00%20PST>
We are looking toward to seeing the innovative research from you.
Best Wishes,
Au, Yan, and Anitha
—
Au Vo, PhD
Assistant Professor
Information Systems Department, SCI 350
College of Business
San Francisco State University
auvo@sfsu.edu
http://cob.sfsu.edu/is
415-338-1038 <//415-338-1038>
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