Dear Colleagues,
We are excited to announce the call for submissions for an inspiring track at the upcoming conference: Data Analytics for Business and Societal Challenges (https://icis2024.aisconferences.org/.../track.../...). This track aims to spotlight contemporary research that leverages novel data science and analytics methods to tackle real-world problems, making significant impacts on business practices and society.
The track chairs are Esko Penttinen from Aalto University, Chuan Hoo Tan from the National University of Singapore, and Jingjing Li from the University of Virginia.
The submission system is open now (https://icis2024.aisconferences.org/subm.../call-for-papers/) and the deadline is May 1, 23:59 (ICT Bangkok – UTC/GMT +7 hours) (Wed)
Topics of interest include, but are not limited to:
- Acquiring and building analytics capability for improved firm competitiveness
- Analytical solutions for enhancing the survivability of small and medium-sized enterprises
- Emerging digital business and innovation, including crowdsourcing and crowdfunding for collective wisdom and resources
- Changing consumer habits and the accompanying need for firms to transform and use analytics to change products and services
- Analytics that address societal issues, such as social cohesion and inclusion
- Future of work, work transformation, and work-life balance (machines replacing humans, machines complement humans)
- Data-driven policy implementations, e.g., to address sustainability and climate change challenges
- Fairness and ethics of analytics applications
- Healthcare data issues, e.g., privacy, personalization, and information sharing
- Healthcare delivery issues, e.g., telehealth and at-home testing
- Information visualization and presentation of complex, controversial data
- Information quality, information sharing, and trust issues
- Social networks and contact tracing and relevant privacy challenges
- Societal aspects around data (data monetization, information businesses, and data products)
- Unstructured data analysis (e.g., text, image, audio, video) to address business and/or societal challenges
- Use of structured data (e.g., XML and XBRL) and standardized data taxonomies in data analytics
#icis2024 #associationforinformationsystems #dataanalytics #bangkok
Best regards,
Jingjing, Esko and Chuan Hoo
Jingjing Li
Andersen Alumni Associate Professor of IT & Innovation
Associate Editor, MIS Quarterly
Associate Director, Center for Business Analytics (CBA)
E jingjing.li@virginia.edu
P 434.924.8981
University of Virginia
McIntire School of Commerce
Charlottesville, VA 22904
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Jingjing Li, Ph.D.
Associate Professor of Commerce
Associate Director of Center for Business Analytics
E
jl9rf@comm.virginia.eduP 434.924.8981
https://www.commerce.virginia.edu/faculty/jl9rf------------------------------