research-article

How has COVID-19 changed the development and adoption of data science across firms and industries?

Authors:

Michelle Alexopoulos,

Kelly Lyons,

Rohan Alexander,

Aije Egwaikhide,

R. Blair FrostAuthors Info & Claims

CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering

Pages 260 - 261

Published: 10 November 2020 Publication History

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Abstract

Since ancient times, individuals have recognized that innovation and adoption of new technologies is affected by demand (i.e., "necessity is the mother of all invention"). Advances in data science, an interdisciplinary scientific approach that combines computation methods with data to understand and solve problems in an evidence-based manner, is no exception. Prior to the COVID-19 outbreak, the speed of data science adoption within organisations faced barriers such as legal/regulatory challenges, available work-force skills and financial costs. The emergence of the pandemic has altered the incentives to invest in, and adopt these innovations. This shifting landscape, will likely have both short run and long run impacts.

This workshop brought together panel and audience members drawn from academia, government agencies and different industries to discuss how COVID-19 has affected the deployment and development of data science. For discussion purposes, COVID-19 related impacts were grouped into three themes: the effect on Research & Development investment; commercialization of new and existing technologies; and changes in the barriers to adoption across different areas.

Reference

[1]

Rohan Alexander, Kelly Lyons, Michelle Alexopoulos, and Lisa Austin. 2019. Workshop on barriers to data science adoption: why existing frameworks aren't working. In Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering. 384--385.

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Lyons KAlexopoulos MEgwaikhide AOnuţ IZulkernine F(2021)What will the transition to a digital economy look like?Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering10.5555/3507788.3507849(296-298)Online publication date: 22-Nov-2021
https://dl.acm.org/doi/10.5555/3507788.3507849
Alexopoulos MLyons KOnuţ IZulkernine F(2021)Toward understanding the COVID-19 impact on data science innovation in CanadaProceedings of the 31st Annual International Conference on Computer Science and Software Engineering10.5555/3507788.3507796(53-62)Online publication date: 22-Nov-2021
https://dl.acm.org/doi/10.5555/3507788.3507796

Index Terms

How has COVID-19 changed the development and adoption of data science across firms and industries?
1. Social and professional topics
  1. Computing / technology policy
    1. Government technology policy

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Information

Published In

CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering

November 2020

297 pages

Editors:
Lily Shaddick
IBM Canada Ltd.
,
Guy-Vincent Jourdan
University of Ottawa
,
Vio Onut
IBM Canada Ltd.
,
Tinny Ng
IBM Canada Ltd.

Publisher

IBM Corp.

United States

Publication History

Published: 10 November 2020

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Lyons KAlexopoulos MEgwaikhide AOnuţ IZulkernine F(2021)What will the transition to a digital economy look like?Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering10.5555/3507788.3507849(296-298)Online publication date: 22-Nov-2021
https://dl.acm.org/doi/10.5555/3507788.3507849
Alexopoulos MLyons KOnuţ IZulkernine F(2021)Toward understanding the COVID-19 impact on data science innovation in CanadaProceedings of the 31st Annual International Conference on Computer Science and Software Engineering10.5555/3507788.3507796(53-62)Online publication date: 22-Nov-2021
https://dl.acm.org/doi/10.5555/3507788.3507796

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