After decades of steady progress, the digital revolution is now fast-forwarding. Disrupted by the COVID-19 pandemic and the demands of new technological advances, businesses and society need a technological reset and adoption of non-traditional approaches to innovation and efficiency. This special issue of Computer focuses on very new emerging technologies and exciting opportunities for technology-enabled transformation.
Change is possible through steady continuous improvement and add-ons, or through short-term, very exciting, high-impact disruptive innovations that have long-term effects on the world. Most emerging technologies lead to disruptive innovation and catalyze transformation in how businesses compete, how society evolves, and how people live. There is a need for guidance on the impact of these technologies and understanding how to use them to drive competitive differentiation. Focus on more holistic approaches is also essential, as no person, company, industry, or part of society stands on its own. They should be familiar with these technologies, their potential for impact, the opportunities that they present, and their limitations. They should plan to exploit these technologies as they become commercially available.
All submitted papers to this special issue are to focus on state-of-the-art technology predictions from various academic and industry viewpoints. The topics of interests in this special issue include, but are not limited to:
- Smart Spaces
- Decentralized Identity
- Employee Communications Multi-experience
- Nonfungible Tokens (NFT)
- Decentralized Finance
- Industry Clouds
- Data Fabric
- Real-Time Incident Center as a Service (aaS)
- Sovereign Cloud
- Quantum Machine Learning (ML)
- Generative AI
- Homomorphic Encryption
- Graph Technologies
- Physics-Informed AI
- Ransomware, Spyware, and Identity Theft
- Data Privacy Failures
- Digital Humans
- Edge AI
- AI-Augmented Design and Software Engineering
- AI-Driven Innovation
Submissions due: 30 June 2023
Publication: February 2024
For author information and guidelines on submission criteria, please visit the Computer Author Information page. Please submit papers through the ScholarOne system, and be sure to select the special-issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.
Please contact the guest editors at firstname.lastname@example.org.
Irena Bojanova, NIST, USA
Rick Kuhn, NIST, USA
Jeff Voas, NIST, USA