-------- Forwarded Message -------- Subject: [AISWorld] Final CFP: HICSS-56 Minitrack on Data Science for Digital Collaboration Date: Sun, 12 Jun 2022 22:27:05 -0400 From: Souren Paul souren.paul@gmail.com To: aisworld@lists.aisnet.org
The 56th Hawaii International Conference on System Sciences Minitrack on Data Science for Digital Collaboration
The evolution of digital collaboration technologies over the past decades has given rise to a new application domain of data science. These emerging technologies range from collaboration software for business such as enterprise collaboration systems and social networking tools, distributed ledger technology, and Internet of Things, to public collaboration platforms such as social media crowdsourcing platforms, and open source communities (e.g., GitHub). Businesses and organizations use these systems for collaboration on projects, knowledge management, supply chain management, and customer relationship management. The public can use them for collaboration, information sharing, community support, and social goods. Applying data science in these domains allows for leveraging the newly available digital trace data for gaining actionable knowledge and insights on how people collaborate and how these platforms facilitate digital collaboration, which can lead to improvements in system design as well as collaboration processes including problem solving and decision making.
This minitrack seeks papers that address, but are not limited to, the following topics:
- Social analytics in digital collaboration - Process mining in digital collaboration - Data science in blockchain and distributed ledger applications - Data science in Internet of Things - Data science in human-machine collaboration - Data science in digital collaboration on social goods - Collaborative analysis of big data - Collaborative collection and management of big data - Visualization of big data in digital collaboration - Crowdsourcing analytics - Security and privacy analytics in digital collaboration - Human-guided knowledge discovery - Humans in the loop data science - Ethical and legal issues in collaborative data science - Case studies on collaborative data science - Best practice for collaboration in data science
Important Dates
- June 15 Papers due - August 17 Notification of acceptance/rejection - September 4 Deadline for authors whose papers are conditionally accepted to submit a revised manuscript - September 22 Deadline for authors to submit final Manuscript for publication
Minitrack Co-Chairs:
Lina Zhou, University of North Carolina at Charlotte, USA
Souren Paul, Northern Kentucky University, USA
Florian Schwade, University of Koblenz-Landau, Germany _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org