Women in Engineering: Addressing the Gender Gap, Exploring Trust and our Unconscious Bias

Strachan, Rebecca, Emembolu, Itoro, Peixoto, Aruquia and Restivo, Teresa (2018) Women in Engineering: Addressing the Gender Gap, Exploring Trust and our Unconscious Bias. In: EDUCON2018 – IEEE Global Engineering Education Conference, 18th - 20th April 2018, Santa Cruz de Tenerife, Spain.

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Short Paper - Addressing the Gender Gap in Engineering and Technology - Exploring Trust and Unconscious Bias_V7.docx - Accepted Version

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RT - Addressing the Gender Gap Educon 2018.pdf - Presentation

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Text (Accepted Proposal for Round Table at IEEE Educon 2018)
Round Table on Addressing the Gender Gap in Engineering and Technology - Exploring Trust and Unconscious Bias Feb 2018.pdf - Accepted Version

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Official URL: http://www.educon-conference.org/current/

Abstract

There is still a large gender gap across the technology, engineering and physical sciences disciplines despite a number of efforts over the past three decades to address this. Creating a more diverse workforce including a better gender balance is important in order to meet the skills need of the future. There is also increasing evidence that organizations with a more diverse workforce are more creative and innovative and ultimately perform better and are more successful. The aim of this paper is to explore how to address the gender gap by exploring our own notions of trust and unconscious bias. The paper draws on the perspectives of four women at different stages of their career and their lived experiences of being female in the engineering sector. Together they provide an insight into this important issue, and how we can work together as a collective community across the sector to address it and provide environments that are welcoming and value each and every one of us.

Item Type: Conference or Workshop Item (Paper)
Additional Information: This short paper was accepted for publication to accompany a round table presentation at IEEE Educon 2018.
Uncontrolled Keywords: gender gap, unconscious bias, women in engineering, trust, STEM and diversity
Subjects: G400 Computer Science
X300 Academic studies in Education
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Strachan
Date Deposited: 07 Jun 2018 15:25
Last Modified: 11 Dec 2018 10:01
URI: http://nrl.northumbria.ac.uk/id/eprint/34434

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