Gender by Institution 

As outlined in the ARC Gender Equality Statement, the ARC is committed to ensuring that all eligible researchers have the opportunity to participate in National Competitive Grants Program (NCGP) funding schemes. NCGP schemes provide a range of opportunities for researchers at all career stages, across disciplines and with diverse research backgrounds and trajectories. The ARC acknowledges that underrepresentation of women in the Australian research sector is reflected in the NCGP participation rates. To address this issue, ARC policies and processes are designed to support all eligible researchers, with particular emphasis on supporting those researchers in underrepresented groups or experiencing proportionally more career interruptions, including women.

In this visualisation, you can explore participation and success rates, by gender, since 2011 by program, investigator, Administering Organisation, and STEM or HASS grouping. Drop-down filters impact the interactive graph to allow exploration of the data. Only aggregated information has been made available.

Data Insights

Under the NCGP, the overall participation rate for women across STEM and HASS disciplines has, since 2011, ranged between 24 and 31%. The success rate since 2015 has averaged 23% with a high in 2019 of 27%. Encouragingly this is comparable to, or exceeds, the success rates for men, across the same period.

In STEM disciplines, in which women are generally underrepresented, the overall participation rate has increased from 20% in 2017 to 24% in 2020. The success rate in STEM disciplines is also comparable to, or exceeds, the success rate for men. In HASS disciplines, the overall participation rate for women has exceeded 41% since 2011, reaching 50% in 2020; with success rates consistently over 20%.

The Discovery Program supports fundamental research through project, fellowship, and award schemes. The overall participation rate for women in the Discovery Program has ranged between 25 and 29% since 2011; and the success rate has increased from 18% for the period 2013 to 2017, to 23% in 2020.

The Innovative Research Universities groupi, have been leaders in improving participation rates for women. Since 2011, the participation rate for women in the Discovery Program has exceeded 28%, with 33% participation in 2020. In 2020, women from the Regional Universities Networkii also had one of the highest success rates of all university groups at 25%, increasing from 14% in 2019.

The Linkage Program funding schemes aim to encourage and extend cooperative approaches to research and improve the use of research outcomes by strengthening links within Australia’s innovation system and with innovation systems internationally. The overall participation rate for women in the Linkage Program has steadily increased since 2016, and 44% of the Lead Investigators on applications submitted for funding in 2020 were women.

The Regional Universities Network and Innovative Research Universities have had increases in participation from women in the Linkage Program in 2020, at 41 and 50% respectively. Application rates from women in HASS disciplines continue to be strong, exceeding 50% in most university groups.

i Charles Darwin University, Flinders University, Griffith University, James Cook University, La Trobe University, Murdoch University and Western Sydney University
ii Charles Sturt University, Central Queensland University, Federation University, Southern Cross University, The University of New England, University of Southern Queensland, University of the Sunshine Coast
 

Understanding the data 

This data reflects the gender of named participants on applications submitted by each Administering Organisation. This is not a representation of university employment as Chief Investigators and Partner Investigators are not necessarily employed by the Administering Organisation. For an analysis of staffing data collected as part of the ERA evaluation of research quality and research activity within Australia’s higher education institutions, see the Gender and the Research Workforce report.

For the purpose of this visualisation, any first named person on a grant, including Fellows and Award recipients, are considered Lead Investigators. Researchers who participate in more than one application are counted more than once. Chief Investigator and Partner Investigator definitions are available in the relevant grant guidelines.

The ARC collects data on the gender categories of 'male', 'female', and 'indeterminate/intersex'. In this visualisation, figures exclude applications where the gender is 'indeterminate/intersex’, or no gender information is provided in the individual’s personal profile because the numbers are too small for analysis.

Only data for scheme rounds that have been finalised are included.

To read more about the terms used on this page and how the data is gathered see the Methodology & Data Notes.

To note: this data is correct as of 29/06/2021, and only includes grants announced as of this date.

While due care has been taken in its preparation, the ARC cannot guarantee and assumes no legal liability or responsibility for the accuracy, currency, completeness or interpretation of the information.

Gender Outcomes Trend 

In this visualisation you can explore participation and success rates by gender since 2002, by program, investigator type, career age, Field of Research, Future Fellow salary level and STEM or HASS grouping. Drop-down filters impact the interactive graph to allow exploration of the data.

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Data insights

The data show that while there are more men than women as named participants on ARC grant applications, success rates are similar. In 2020, women accounted for 31% of all participants. The success rate for women was 23% and the success rate for men was 24%.

In 2020, the proportion of women named on grant applications in HASS fields (50%) was higher than STEM fields (24%). The success rate for women in HASS was higher than men (20 and 16% respectively). Success rates were similar in STEM fields (25% for women and 26% for men).

Understanding the data 

To read more about the terms used on this page and how the data is gathered see the Methodology & Data Notes.

To note: this data is correct as of 29/06/2021, and only includes grants announced as of this date.

See the ARC Gender Equality Statement 

While due care has been taken in its preparation, the ARC cannot guarantee and assumes no legal liability or responsibility for the accuracy, currency, completeness or interpretation of the information.

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