[AISWorld] AMCIS 2019 - CFP Mini-Track on Analytics for Social Goods

[Motiwalla, Luvai]

AMCIS 2019 - CFP Mini-Track on Analytics for Social Goods

Track: Decision Sciences and Analytics (sponsored by SIGDSA)

Mini-Track Co-Chairs:
- Amir Talaei-Khoei, PhD, atalaeikhoei at unr.edu	
- Luvai F. Motiwalla, PhD, luvai_motiwalla at uml.edu	
- Madjid Tavana, Ph.D., tavana at lasalle.edu

MINI-TRACK OVERVIEW
===================
Data science and analytics are at the forefront of driving innovation and creating novel opportunities for a common good by improving the quality and cost of social services with better processes and improved research. Policy makers and professionals have sought to overhaul social data, and to integrate them into large warehouses, for use in analytics, machine learning/AI, predictive and prescriptive analytics for improving social services and common good.
The main purpose of this mini-track is to explore and extend, as well as exchange, innovative research related to analytics in the context of social good. In particular, this mini-track aims to advance the use of data analytics approaches for understanding social implementations. We seek papers that apply predictive and prescriptive analytic approaches such as ANN, SVM, Logistic Regression, Decision Trees and other machine learning methods that advance both theoretical practice and provide practical contributions to this field of social services.  

The mini-track will solicit submissions in areas including but not limited to:
-	Machine learning for applications for social good and collaboration.
-	Advanced techniques for handling unstructured, unlabeled and/or missing data in social collaboration.
-	Data quality control for the specifics of social and computer-mediated interaction.
-	Application of data technologies and data science to social sciences studies in the digital realm.
-	Emerging business for social evolution through data research.
-	Social good frameworks and mechanisms enabled by data science research.
-	Smart clusters for international and global social integration
-	Multi-objective optimization, machine learning and intelligent techniques for social sharing, media and interaction.
-	Meta-analysis of applications related to the topics.
-	Security and privacy in analytics in social media.
-	Co-simulation and other applications of simulation for social interaction.
-	Decentralized approaches to data sharing applications, e.g. social media over blockchains or decentralized file systems.
-	Innovative applications of data analytics to social issues like energy, healthcare, education, food, poverty, injustice, inequalities in society.

This Minitrack provides a forum for integrating relevant, vital academic social analytics research activity with the broader international community.

Journal Publication Opportunity: The authors for the best paper in this mini-track will be fast-tracked to publish their full version of their manuscript (Subject to the editorial requirements of the journals) in:
 - Journal of Business Analytics, Taylor & Francis (https://www.tandfonline.com/toc/tjba20/current) 
    OR
 - International Journal of Strategic Decision Sciences (https://ideas.repec.org/s/igg/jsds00.html)

IMPORTANT DATE:
March 1, 2019: AMCIS manuscript submissions closes for authors at 10:00am PST 

SUBMISSION INSTRUCTIONS:
https://amcis2019.aisconferences.org/