Artificial Intelligence (AI) and data science applications have grown in popularity because of their ability to give meaningful information based on a complicated and large amount of data. Intelligent systems use algorithms, methods, systems, and applications to evaluate and learn from large amounts of heterogeneous data to achieve specified goals, such as improving business and organizational operations. Submission from a breadth of research paradigms are encouraged. Topics of interest include, but are not limited to:

• Machine learning and deep learning methods and applications
• Natural language processing 
• Artificial intelligence and robotics
• Pattern recognition and computational intelligence
• Social, behavioral, and economic impact of AI
• Data science applications for economic growth
• Augmented/ Virtual Reality and Internet of Things
• Design and implementation of AI and data sciences in other domains
• Ethics and privacy in AI and data science
• AI for Transportation and Logistics

The way businesses are done today has been revolutionized by digital advancements. Large data, blockchain, the Internet of Things, and machine learning are just a few examples of emerging technologies that have disrupted industries and spawned new business models. Digital entrepreneurship has gained popularity in recent years to revitalize the market, generate new jobs, and unlock the growth potential of enterprises and industries. This track accepts paper of high quality on digital innovation, ICT applications and e-businesses, such as but not limited to:

• Technopreneurship and new business models 
• Platform innovation and platform economy
• Technology innovation and commercialization
• Societal implications of digital innovations
• E-business and e-commerce
• Digital transformation and innovation management
• Technology transfer and knowledge management
• Disruptive technologies and startup ecosystems
• Digital infrastructure on e-business
• ICT for Economics and Development
• Big Data and Data Mining Applications
• Business and Data Analytics Applications
• Transdisciplinary applications of ICT
• Trust, privacy, and issues in digital innovation

This track calls for quality IS research on a variety of themes. Broad range of research topics on how information systems impact people, organizations, and the community. Conceptual, empirical, and developmental papers are welcomed. This track is also open for impactful IS research on the business value, governance and digital technologies. Relevant IS topics on how IT influences customers and consumers, and customer engagement is also welcome. Multidisciplinary approaches are also accepted, such as but not limited to:

• IS approaches to digital and gig economies.
• The impact of IT on business and organizations
• IS plans, strategy and architecture.
• IT Service Management
• Social, behavioral, and technological influences of IS
• Economics of IS 
• Theoretical Approaches to IS
• IS Value and Performance
• Evaluation and Impact Assessments of IT
• Governance of enterprise or Interorganizational IS applications.
• IS Control, Digital governance, and IT risk management.