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Computational Science vs. Zombies

Computational Science attempts to solve scientific problems through the design and application of mathematical models. Researchers and research teams need domain knowledge, along with skills in computing and, increasingly, data science expertise. We have been working to draw students into STEM, Comp...

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Detalles Bibliográficos
Autores principales: Maxville, Valerie, Sandford, Brodie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304733/
http://dx.doi.org/10.1007/978-3-030-50436-6_46
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author Maxville, Valerie
Sandford, Brodie
author_facet Maxville, Valerie
Sandford, Brodie
author_sort Maxville, Valerie
collection PubMed
description Computational Science attempts to solve scientific problems through the design and application of mathematical models. Researchers and research teams need domain knowledge, along with skills in computing and, increasingly, data science expertise. We have been working to draw students into STEM, Computational Science and Data Science through our Team Zombie outreach program. The program leads the students through a scenario of a disease outbreak in their local area, which turns out to a potential zombie apocalypse. They become part of Team Zombie, a multi-disciplinary response team that investigates the outbreak; models the spread and potential interventions; works towards cures or vaccines; and provides options for detection and monitoring. Throughout the activities we make reference to real-world situations where the techniques are applied. Our program has engaged students from primary school through to university level, raising awareness of the range of approaches to problem solving through models and simulations. We hope this will inspire students to choose courses and careers in computational and data science.
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spelling pubmed-73047332020-06-22 Computational Science vs. Zombies Maxville, Valerie Sandford, Brodie Computational Science – ICCS 2020 Article Computational Science attempts to solve scientific problems through the design and application of mathematical models. Researchers and research teams need domain knowledge, along with skills in computing and, increasingly, data science expertise. We have been working to draw students into STEM, Computational Science and Data Science through our Team Zombie outreach program. The program leads the students through a scenario of a disease outbreak in their local area, which turns out to a potential zombie apocalypse. They become part of Team Zombie, a multi-disciplinary response team that investigates the outbreak; models the spread and potential interventions; works towards cures or vaccines; and provides options for detection and monitoring. Throughout the activities we make reference to real-world situations where the techniques are applied. Our program has engaged students from primary school through to university level, raising awareness of the range of approaches to problem solving through models and simulations. We hope this will inspire students to choose courses and careers in computational and data science. 2020-05-25 /pmc/articles/PMC7304733/ http://dx.doi.org/10.1007/978-3-030-50436-6_46 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Maxville, Valerie
Sandford, Brodie
Computational Science vs. Zombies
title Computational Science vs. Zombies
title_full Computational Science vs. Zombies
title_fullStr Computational Science vs. Zombies
title_full_unstemmed Computational Science vs. Zombies
title_short Computational Science vs. Zombies
title_sort computational science vs. zombies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304733/
http://dx.doi.org/10.1007/978-3-030-50436-6_46
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