[AISWorld] CFP: Research Track in 2024 Pre-ICIS SIGDSA Symposium, Dec 14-15, 2024 in Bangkok, Thailand

[Biljana Mileva Boshkoska]

The 2024 Pre-ICIS SIGDSA Symposium on "Emerging AI Platforms for 
Societal Good" [1] will be held on December 14-15, 2024 in Bangkok, 
Thailand.
This theme reflects the increased emphasis on understanding the impact 
of emerging digital platforms, such as Generative AI, on community 
structures, social dynamics, innovation strategies, global trends, and 
governance reform.
The research track aims to promote computational, theoretical 
(mathematical or social sciences-driven), and empirical studies in data 
analytics, big intelligence, AI, and ML and their applications in 
different domains.
We welcome your participation and attendance at this exciting Symposium. 
Top submissions will have the opportunity to be fast-tracked to one of 
many journals partnering with SIGDSA.

The research track will accept papers of two types:
(a) Completed research papers must not exceed sixteen (16) single-spaced 
pages (all-inclusive).
(b) Research-in-progress papers must not exceed eight (8) single-spaced 
pages (all inclusive).

Authors of accepted papers will have the option of publishing:
(a) the complete manuscript OR
(b) an extended abstract (single-spaced 2-3 pages) as part of the 
symposium proceedings on AIS eLibrary.
If authors choose to publish only the extended abstract, they will 
retain the copyright of the original manuscript submitted for review and 
feedback. Please see the details below.

For more information, visit: https://preicis.sigdsa.org/Research.html

Please make note of the following important dates.
- Aug 5, 2024 (Mon): Manuscript submissions open
- Sep 16, 2024 (Mon): Manuscript submission deadline (11:59 pm EDT)
- Oct 21, 2024 (Mon): Acceptance decisions communicated to authors on a 
rolling basis, but no later than Oct 21, 2024
- Nov 11, 2024 (Mon): Regular registration deadline; at least one author 
must be registered for the Symposium
- Nov 11, 2024 (Mon): Camera-ready submissions due
- Dec 14-15, 2024 (Sat/Sun): 2023 Pre-ICIS SIGDSA Symposium

** ADDITIONAL DETAILS **

The research track aims to promote computational, theoretical 
(mathematical or social sciences driven) as well as empirical studies in 
data analytics, big intelligence, AI , ML, and their applications in 
different domains. We seek comprehensive Completed Research or 
early-stage Research-in-Progress papers on topics including, but not 
limited to:

-    Data analytics in various business sectors (e.g., financial 
services, manufacturing, retail, pharmaceutical, - healthcare, 
government, agribusiness, hospitality and entertainment, supply chain, 
etc.)
-    Big data and organizational transformation
-    Artificial Intelligence, machine learning, deep learning, 
reinforcement learning, and active learning methodologies - and 
applications for decision support
-    Social media and marketing analytics
-    Network and collaborative analytics for decision support
-    Analytics connecting data and processes (e.g., process mining)
-    Data analytics for sustainability (e.g., data analytics and 
operational sustainability practices for sustainable - business 
management, big data, and social media analytics for 
business-to-business sustainability, big data and - predictive analytics 
capability for supply chain sustainability, orchestrating data analytics 
capability for - sustainability, etc.)
-    Analytics using IoT devices such as wearables, RFID, etc.
-    Data mining with blockchains and cryptocurrencies
-    Data analytics and business intelligence theory and applications
-    Innovative data-driven decision support tools and techniques
-    Data analytics in behavioral research
-    Predictive, descriptive, and prescriptive approaches to analytics
-    Natural language processing and generation
-    LLMs, generative AI, chatbots, virtual agents
-    Data analytics technologies and applications
-    Risks and benefits of interconnected decision-making (e.g., privacy 
and ethical considerations in the use of data and analytics, the dark 
side of analytics, etc.)
-    Algorithmic bias and approaches to mitigate such bias
-    Model explainability, interpretability, and reproducibility
-    Model sharing and deployment issues and the role of MLOps
-    Data and analytics for diverse societal applications (e.g., smart 
cities, smart and connected communities, smart - health, smart energy 
management)
-    Data and analytics in shaping public policy
-    Methodological issues of developing systems based on connected big 
data

COMPLETED RESEARCH

Completed research papers are full-length papers documenting the results 
of finished research projects. For empirical work, completed research 
papers should have completed analyses and documentation of results. 
Completed research papers must not exceed sixteen (16) single-spaced 
pages (all-inclusive) and must conform to the paper submission template. 
The page limit covers everything in the submission, including title, 
text, tables, figures, appendices, and references. Submissions that 
exceed this limit will be automatically rejected.

RESEARCH-IN-PROGRESS

Research-in-progress papers typically describe work that is yet to be 
completed but is promising. Short papers could take various forms. For 
example, they can be theoretical (presenting promising frameworks), 
empirical (with some preliminary results), or present a design of novel 
and useful concepts, or artifacts (testing need not be done). Short 
papers should include a paragraph describing what work remains to 
complete the paper and the authors' plan for the next steps. Please note 
that the progress described is expected to be substantive in nature. 
Short papers must be at most eight (8) single-spaced pages and must 
conform to the paper submission template. The page limit covers 
everything in the submission, including title, text, tables, figures, 
appendices, and references. Submissions that exceed this limit will be 
automatically rejected. If accepted, research-in-progress papers will be 
presented as part of a presentation session.

Research Track Co-Chairs:
Biljana Mileva Boshkoska, biljana.mileva at ijs.si, Jožef Stefan Institute, 
Slovenia
Stephen McCarthy, stephen.mccarthy at ucc.ie, University College Cork, 
Ireland

Program Chairs
Leo Vijayasarathy, leo.vijayasarathy at colostate.edu, Colorado State 
University, USA
Shwadhin Sharma, ssharma at csumb.edu, California State University Monterey 
Bay, USA

Conference Chairs
Vic Matta, matta at ohio.edu, Ohio University, USA
Ales Popovic, ales.popovic at neoma-bs.fr, NEOMA Business School, France
Jongswas (Pop) Chongwatpol, jongsawas.c at nida.ac.th, NIDA, Bangkok, 
Thailand

Links:
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[1] https://preicis.sigdsa.org/