The Imperative for Grand Challenges in Computing
- URL: http://arxiv.org/abs/2601.00700v1
- Date: Fri, 02 Jan 2026 14:37:42 GMT
- Title: The Imperative for Grand Challenges in Computing
- Authors: William Regli, Rajmohan Rajaraman, Daniel Lopresti, David Jensen, Mary Lou Maher, Manish Parashar, Mona Singh, Holly Yanco,
- Abstract summary: The paper emphasizes the importance of defining and pursuing grand challenges in computing as a field.<n>Building on lessons from prior grand challenges, the paper explores the nature of a grand challenge today.<n>The paper concludes with a call to action for our community to come together to define grand challenges in computing for the next decade and beyond.
- Score: 7.696310627684891
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Computing is an indispensable component of nearly all technologies and is ubiquitous for vast segments of society. It is also essential to discoveries and innovations in most disciplines. However, while past grand challenges in science have involved computing as one of the tools to address the challenge, these challenges have not been principally about computing. Why has the computing community not yet produced challenges at the scale of grandeur that we see in disciplines such as physics, astronomy, or engineering? How might we go about identifying similarly grand challenges? What are the grand challenges of computing that transcend our discipline's traditional boundaries and have the potential to dramatically improve our understanding of the world and positively shape the future of our society? There is a significant benefit in us, as a field, taking a more intentional approach to "grand challenges." We are seeking challenge problems that are sufficiently compelling as to both ignite the imagination of computer scientists and draw researchers from other disciplines to computational challenges. This paper emphasizes the importance, now more than ever, of defining and pursuing grand challenges in computing as a field, and being intentional about translation and realizing its impacts on science and society. Building on lessons from prior grand challenges, the paper explores the nature of a grand challenge today emphasizing both scale and impact, and how the community may tackle such a grand challenge, given a rapidly changing innovation ecosystem in computing. The paper concludes with a call to action for our community to come together to define grand challenges in computing for the next decade and beyond.
Related papers
- Spatial Computing: Concept, Applications, Challenges and Future
Directions [14.28065128284347]
spatial computing is a technological advancement that facilitates the seamless integration of devices into the physical environment.
From GPS and location-based services to healthcare, spatial computing technologies have influenced and improved our interactions with the digital world.
This review provides a detailed overview of spatial computing, including its enabling technologies and its impact on various applications.
arXiv Detail & Related papers (2024-01-30T11:47:12Z) - AI Competitions and Benchmarks: The life cycle of challenges and
benchmarks [0.49478969093606673]
We argue for the need to creatively leverage the scientific research and algorithm development community as an axis of robust innovation.
Coordinated community engagement in the analysis of highly complex and massive data has emerged as one approach to find robust methodologies.
arXiv Detail & Related papers (2023-12-08T18:44:10Z) - Academic competitions [61.592427413342975]
This chapter provides a survey of academic challenges in the context of machine learning and related fields.
We review the most influential competitions in the last few years and analyze challenges per area of knowledge.
The aims of scientific challenges, their goals, major achievements and expectations for the next few years are reviewed.
arXiv Detail & Related papers (2023-12-01T01:01:04Z) - On the Opportunities of Green Computing: A Survey [80.21955522431168]
Artificial Intelligence (AI) has achieved significant advancements in technology and research with the development over several decades.
The needs for high computing power brings higher carbon emission and undermines research fairness.
To tackle the challenges of computing resources and environmental impact of AI, Green Computing has become a hot research topic.
arXiv Detail & Related papers (2023-11-01T11:16:41Z) - Reliable AI: Does the Next Generation Require Quantum Computing? [71.84486326350338]
We show that digital hardware is inherently constrained in solving problems about optimization, deep learning, or differential equations.
In contrast, analog computing models, such as the Blum-Shub-Smale machine, exhibit the potential to surmount these limitations.
arXiv Detail & Related papers (2023-07-03T19:10:45Z) - High Performance Computing and Computational Intelligence Applications
with MultiChaos Perspective [0.0]
The COVID-19 pandemic has highlighted the need to understand complex processes in order to achieve the common well-being.
Modern High performance computing technologies, Quantum Computing, Computational Intelligence are shown to be extremely efficient.
If a company is familiar with these techniques and technologies, will be able to deal with any unexpected and complicated scenario more efficiently and effectively.
arXiv Detail & Related papers (2022-11-25T15:05:47Z) - Coordinated Science Laboratory 70th Anniversary Symposium: The Future of
Computing [80.72844751804166]
In 2021, the Coordinated Science Laboratory CSL hosted the Future of Computing Symposium to celebrate its 70th anniversary.
We summarize the major technological points, insights, and directions that speakers brought forward during the symposium.
Participants discussed topics related to new computing paradigms, technologies, algorithms, behaviors, and research challenges to be expected in the future.
arXiv Detail & Related papers (2022-10-04T17:32:27Z) - Future Computer Systems and Networking Research in the Netherlands: A
Manifesto [137.47124933818066]
We draw attention to CompSys as a vital part of ICT.
Each of the Top Sectors of the Dutch Economy, each route in the National Research Agenda, and each of the UN Sustainable Development Goals pose challenges that cannot be addressed without CompSys advances.
arXiv Detail & Related papers (2022-05-26T11:02:29Z) - Scientia Potentia Est -- On the Role of Knowledge in Computational
Argumentation [52.903665881174845]
We propose a pyramid of types of knowledge required in computational argumentation.
We briefly discuss the state of the art on the role and integration of these types in the field.
arXiv Detail & Related papers (2021-07-01T08:12:41Z) - Developing Future Human-Centered Smart Cities: Critical Analysis of
Smart City Security, Interpretability, and Ethical Challenges [5.728709119947406]
Key challenges include security, robustness, interpretability, and ethical challenges to a successful deployment of AI or ML in human-centric applications.
Globally there are calls for technology to be made more humane and human-compatible.
arXiv Detail & Related papers (2020-12-14T18:54:05Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.