- Submissions due: 1 January 2024
- Publication: July 2024
Compelling technology predictions have always been hard to make, yet they attract wide audiences because of their speculative nature and potential impact on the environment, government, industry, and people. Technology prediction is hard because it entails technical and business components, as well as the dimension of time. The degree of speculation and potential impact can be supercharged by radical events such as pandemics and wars.
The ability to correctly predict technological trends can separate nations that will sustain tragic losses from those that will evade impact. Similarly, technology trends may make a difference in whether industries will disappear, metamorphosize, or suddenly flourish.
Superior technologies have not always won in the marketplace. And those that did win sometimes took much more time to mature and ultimately reach adoption. Technology success depends on technical, production, market, social, and many other aspects.
Over the past 10 years, the IEEE Computer Society has conducted technology predictions at the end of each year. Many other organizations around the world do the same. For the past three years we have edited a special issue on Technology Predictions for Computer magazine, and so we invite papers for consideration in the 2024 Technology Predictions special issue.
For examples of papers on technology predictions, see the December 2019 issue of Computer, including a rebuttal by Jeff Voas, at that time the incoming EiC of Computer. For examples of technology predictions, see the IEEE Computer Society Press Room, including scorecards from the past 10 years.
Scope of Interest
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:
- AI, Large Language Models
- Novel architectures, accelerators, quantum, memory, storage, interconnects
- High performance computing and data analytics
- Communication technologies
- Security and reliability
- Continuum of deployment in cloud and edge
- Predictions in standards and road-mapping
- Use cases in manufacturing, biotech, health, oil & gas, transportation, finance
- Personal and pervasive computing technologies
- Societal, legal, and ethical aspects
- Impact on supply chains, future workforce
For author information and guidelines on submission criteria, visit the Author’s Information page. Please submit papers through the ScholarOne system and be sure to select the special issue or special section 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. If requested, abstracts should be sent by email to the guest editors directly.
Contact the guest editors at email@example.com.
- Phillip A. Laplante, Penn State
- Dejan Milojicic, Hewlett Packard Labs