-------- Forwarded Message -------- Subject: [AISWorld] CFP: PACIS Track, "Design Science in IS Research, " March 7, 2023 Date: Wed, 15 Feb 2023 11:11:14 -0500 From: Mohammad Jabbari jabbari.mohammad@gmail.com To: AISWorld@lists.aisnet.org

Design science is a diverse research area that extends the boundaries and capabilities of individuals and organizations by designing, building, and evaluating new constructs, models, algorithms, methods, and systems to solve practical problems. It includes computational design science, optimization design science, representation design science, and economics design science, among others (Rai, 2017). While the different streams of design science paradigms have their different focal topics and writing styles, they together make significant contributions to the world and change the practice.

In particular, we witnessed the emergence (advance) of several technologies in recent years, such as artificial intelligence (AI), augmented reality (AR)/metaverse, blockchain/nft/distributed computing, cloud/edge computing, Internet of Things (IoTs), and cyber-physical system (CPS), which has afforded new possibilities as well as new concerns (e.g., fairness, security, and privacy) for design science in various application domains. This calls for more grounded design science research that leads and directs the design, implementation, and evolution of contemporary IT artifacts, which would solve problems and improve the environment in which they are instantiated.

We thereby welcome a diversity of submissions that can produce novel theoretical knowledge, practical insights, and methodological basis on novel design science topics. The track seeks to synthesize broader understandings in the diversity of all types of design science studies, as specified by Rai (2017).

Reference:

Arun Rai. 2017. “Editor’s Comments: Diversity of Design Science Research,” MIS Quarterly, (41: 1) pp.iii-xviii.

Potential Topics include (but are not limited to):

- Design theories and principles for emerging digital technologies - Conceptual modeling, including big data modeling - Innovate design of information systems - Design of novel algorithms or models - Design for innovative applications, such as AI, AR, IoT, etc. - Modeling and optimization of IS design - IT-enabled mechanism design - Design for platforms and collaborative applications - Design science research to solve IT use and user experience issues - Impact of design on individuals, organizations, and society - Ethics in design science research - Fairness, security, and privacy issues in design science research - AI behavior and human-computer interaction design - Emerging methods for design science research

*Track Co-Chairs:*

- Xin Li (City University of Hong Kong), Xin.Li@cityu.edu.hk - Yidong Chai (Hefei University of Technology), chaiyd@hfut.edu.cn - Mohammad Jabbari (Université Laval), mohammad.jabbari@fsa.ulaval.ca _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org