Research Assistant/Associate - Developing a UK Gender Equality Index for local areas (either one or two roles)
KCL department
The Policy Institute – Global Institute for Women’s Leadership
Hours
c. 20 hours per week
This might be a role for one or two individuals depending on skill sets, experience, and capacity.
If offered to two individuals, the number of hours will be c. 10 hours per week each.
Salary
£20.02- £23.24 per hour depending on experience.
The post will be for 6 months with the possibility of extending.
Chaired by Julia Gillard, the only woman to have served as Prime Minister of Australia, The Global Institute for Women’s Leadership (GIWL) at King’s College London brings together rigorous research, practice, and advocacy to break down the barriers to women becoming leaders, while challenging ideas of what leadership looks like.
A Research Assistant or Research Associate is required to assist the GIWL team on a project funded by Lloyds Banking Group, entitled “Developing a subnational gender equality index for UK”. This project builds on our previous work (see Schmid, Cook and Jones 2021, 2022) with the aim of creating an index to measure and map gender equality levels across local areas in England, Scotland, Wales and Northern Ireland data permitting.
As part of the project, we are building a website to showcase the index, with an interactive map. This website will help transform the index into a practical tool that can be used by activists, academics, and grassroots campaigners to call for greater equality in their local areas.
Secondary data from survey, administrative, and big data will be used to measure how women’s and men’s outcomes differ depending on where they live. We will focus on six domains: Paid Work, Unpaid Work, Money, Power & Participation, Education & Skills, Health & Wellbeing, and Violence Against Women and Girls. Using the index data, we will conduct research on how local area gender inequality affects individual outcomes.
We require a Research Assistant or Research Associate to assist with data cleaning and integration, the statistical steps involved in the construction of the index, and the translation of the index into interactive maps on the project website. This might be a role for one or two individuals depending on skill sets, experience, and capacity.
Key duties:
- Identifying appropriate data sources for measuring gender equality at the neighbourhood level in the UK, including from administrative data, survey data, and big data.
- Updating a reference table of these data sources and relevant variables within each data source.
- Creating indicators based on these variables and combining these indicators into a single dataset in a common format, via data cleaning and coding.
- Conducting statistical analyses to construct the index including imputation of missing data and sensitivity analyses to test normalisation, weighting, and aggregation methods.
- Creating data documentation/meta-data and writing reports.
- Creating interactive map functionality for a website to display the data and indicators.
- Assisting with broader website set up and functionality together with colleagues.
- Participating in team meetings to update on progress.
- Presenting to team and advisory group.
Enquires for further information are welcome and should be sent to Caitlin Schmid (caitlin.schmid@kcl.ac.uk).
Further reading:
Schmid, C., Cook, R., Jones, L. (2022). Measuring gender inequality in Great Britain: Proposal for a sub-national index. Social Politics: International Studies in Gender, State & Society. https://doi.org/10.1093/sp/jxac005
Schmid, C., Cook, R., Jones, L. (2021). A UK Gender Equality Index: Challenges In Developing A Conceptual Framework. Policy brief. Global Institute for Women‘s Leadership, King‘s College London.
Joint Research Centre-European Commission (2008). Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD Publishing. https://www.oecd.org/sdd/42495745.pdf
Joint Research Centre-European Commission (2020). Your 10-Step Pocket Guide to Composite Indicators & Scoreboard. https://knowledge4policy.ec.europa.eu/sites/default/files/10-step-pocket-guide-to-composite-indicators-and-scoreboards.pdf
QualificationsFor academic applicants, a recent or close to completion of a PhD in a relevant social science discipline e.g, geography, social statistics, sociology, social policy, or economics with a quantitative component.
SkillsEssential:
· Experience of using one or more of the following software packages for data manipulation:
SPSS, Stata, R, Python.
- Ability to work independently to deadlines while collaborating with the wider research team.
- Proficiency in data cleaning, management, transformation and visualisation
- Experience of front-end and back-end web development.
- Experience of conducting spatial analysis.
- Experience of using one or more of the following software packages for data manipulation: SPSS, Stata, R, Python..
Desirable:
- For academic applicants, a recent or close to completion of a PhD in a relevant social science discipline e.g, geography, social statistics, sociology, social policy, or economics with a quantitative component.
- Interest in gender inequalities.
- Familiarity with existing gender equality indices.
- Knowledge of UK survey and administrative data as relevant to local area level analysis.
- Experience of website design.
You can also use your social account to sign in. First you need to:
Accept Terms & Conditions and Privacy Policy.