An Important and Timely Field

Fincher, Sally; Robins, Anthony

doi:10.1017/9781108654555.001

Cited by 7 publications

(2 citation statements)

References 1,530 publications

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“…The validated CSed instrument was chosen for 3 reasons. First, CSed as a field is quickly establishing best practices with regard to teaching computational concepts [61,62]. Second, this instrument is used to evaluate where students are when they begin an introductory computer science, human-computer interaction, or technology-based course.…”

Section: Survey Structurementioning

confidence: 99%

The Technology Crisis in US-based Emergency Management: Toward a Well-Connected Future

Lalone,

Toups Dugas,

Semaan

2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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For many years, CI has tried to show the value of computational techniques for response to hazard events but has yet to see success outside of post-hoc analyses. Meanwhile, emergency management (EM) has been struggling to cope with the impact of computation. This duality wherein we know technology can be useful yet also complicates EM (and has not yet been fully integrated into EM) is what we dub the technology crisis in EM. To begin to address this crisis and revitalize CI, we argue that it is necessary to develop an inventory of what technologies EM is competent with and to design training that can extend that competency. This research reports a survey of EM Practitioners in the United States. We offer one of the first inventories of EM technologies and technological skills and identify how current EM technological integration issues are a crisis.

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Section: Survey Structurementioning

confidence: 99%

The Technology Crisis in US-based Emergency Management: Toward a Well-Connected Future

Lalone,

Toups Dugas,

Semaan

2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Although such IDEs can become quite complex with the evolution of their corresponding toolchains (Fincher and Robins, 2019), in our case, we can restrict their use toward code development and management. As such, habits are immediately introduced that improve the code quality.…”

Section: Tools and Software Carpentrymentioning

confidence: 99%

Opportunities for enhancing MLCommons efforts while leveraging insights from educational MLCommons earthquake benchmarks efforts

von Laszewski,

Fleischer,

Knuuti

et al. 2023

Front. High Perform. Comput.

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MLCommons is an effort to develop and improve the artificial intelligence (AI) ecosystem through benchmarks, public data sets, and research. It consists of members from start-ups, leading companies, academics, and non-profits from around the world. The goal is to make machine learning better for everyone. In order to increase participation by others, educational institutions provide valuable opportunities for engagement. In this article, we identify numerous insights obtained from different viewpoints as part of efforts to utilize high-performance computing (HPC) big data systems in existing education while developing and conducting science benchmarks for earthquake prediction. As this activity was conducted across multiple educational efforts, we project if and how it is possible to make such efforts available on a wider scale. This includes the integration of sophisticated benchmarks into courses and research activities at universities, exposing the students and researchers to topics that are otherwise typically not sufficiently covered in current course curricula as we witnessed from our practical experience across multiple organizations. As such, we have outlined the many lessons we learned throughout these efforts, culminating in the need for benchmark carpentry for scientists using advanced computational resources. The article also presents the analysis of an earthquake prediction code benchmark while focusing on the accuracy of the results and not only on the runtime; notedly, this benchmark was created as a result of our lessons learned. Energy traces were produced throughout these benchmarks, which are vital to analyzing the power expenditure within HPC environments. Additionally, one of the insights is that in the short time of the project with limited student availability, the activity was only possible by utilizing a benchmark runtime pipeline while developing and using software to generate jobs from the permutation of hyperparameters automatically. It integrates a templated job management framework for executing tasks and experiments based on hyperparameters while leveraging hybrid compute resources available at different institutions. The software is part of a collection called cloudmesh with its newly developed components, cloudmesh-ee (experiment executor) and cloudmesh-cc (compute coordinator).

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Exploring the Past, Present and Future of Computing Education Research: An Introduction

Apiola

López-Pernas

Saqr

et al. 2023

Past, Present and Future of Computing Education Research

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An Important and Timely Field

Cited by 7 publications

References 1,530 publications

The Technology Crisis in US-based Emergency Management: Toward a Well-Connected Future

The Technology Crisis in US-based Emergency Management: Toward a Well-Connected Future

Opportunities for enhancing MLCommons efforts while leveraging insights from educational MLCommons earthquake benchmarks efforts

Exploring the Past, Present and Future of Computing Education Research: An Introduction

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