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What you will learn

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Data is a crucial tool in today's workplaces – but it can often be skewed in ways that reinforce gender biases.

This Melbourne MicroCert is ideal for professionals from any sector seeking the tools to understand how data can hold inherent bias, and how this impacts organisational decision making.

Explore the nexus of gender and technology

Drawing on social science perspectives, you'll explore the intrinsic gender inequalities that exist within our broader society. Consider how these are reflected in AI and other technologies.

Understand how data influences workplace decision making

Recognise data’s value in the workplace, and consider how it can be applied to drive effective decision making. Examine how gender bias and discrimination can be embedded within data and tech used by organisations, and explore the unintended impacts this may have.

Discover the tools to identify biases in data

Understand how gender bias can be reinforced during data collection, analysis and interpretation. Gain a critical framework to assess the quality of data and its sources, to identify potential bias.

Apply your knowledge to your own workplace

Putting your new knowledge into practice, you'll examine how data is used in your own organisation. You'll demonstrate how to identify the potential bias that exists within it, and consider how to make more gender-inclusive data-driven decisions.

Who you will learn from

Learn from skilled academic and professional experts who will share invaluable knowledge you can use in your job.

Professor Leah Ruppanner

Professor of Sociology, and director of The Future of Work Lab

Leah is a quantitative methodologist whose research focuses on the impact of gender equality and family policy on individuals’ lives through analysis of large cross-national data. Her research has been published in top-tier sociology journals and featured in Slate, The Guardian, The New York Times, The Conversation, and The Age. She is also a Research Fellow at the ARC Centre for Excellence for Children and Families over the Life Course.

Sophie Squires

Research coordinator, The Future of Work Lab

Sophie is an anthropologist with an interest in gender, politics and the media. She works across various social and gender equality projects, including currently working on evaluating equal opportunity policies of local government and researching barriers to women’s representation.

Lía Acosta Rueda

Research coordinator, The Future of Work Lab

Lía is an economist with expertise in public policy, gender, and monitoring and evaluation. Prior to joining the Future of Work Lab, Lía provided technical assistance for the design of impact evaluations of social policies in Mexico.

More from this series

Take multiple courses to deepen your knowledge or stack towards a full degree.

The Future of Women at Work series

The Future of Women at Work series examines the policy, digital skills and interpersonal approaches necessary to establish gender equity in our future workplaces. The series also provides a pathway into the Master of Social Policy. See course details for more information.

Explore more from the Future of Women at Work series:

Fees

For individuals

To take Gender Bias and Discrimination in Data as a stand-alone Melbourne MicroCert, you'll pay the normal course price.

$1190 AUD (inc GST)

Please contact Student Support to discuss discounts and payment options for University of Melbourne staff or alumni, or to pay by invoice.

Enrol now
Registration closes Oct 9, 2022

For teams

If you have three or more team members who are keen to upskill with Gender Bias and Discrimination in Data, get in touch to discuss pricing. For large groups, we can also deliver and contextualise this course exclusively for your organisation.

Dates

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10 October – 20 November 2022

Registration closes Oct 9, 2022

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29 May – 9 July 2023

Registration closes May 28, 2023

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Course details

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