This three-hour academic writing workshop is geared towards any postgraduate researcher who is actively engaged in writing at any stage of their studies. The key aim of the workshop is to discuss and pilot ways of bringing greater creativity and reflexivity into your writing.

Together we will draw across our experiences from different doctoral topics, approaches, stages, and disciplines. There will be opportunities to explore different ideas, share experiences of academic writing, as well as engage in writing activities.

Learning outcomes

By the end of the workshop you will:

• Have ideas of how to stimulate creativity
• Have a better understanding of your relationship with writing
• Leave re-energised to approach your writing in new ways, whether in terms of process, style or content

Target audience

Postgraduate researchers in the mid-late stage of their research degree and from all disciplines, and ECRs from all disciplines, broadly encompassing research assistants, postdoctoral researchers and research fellows at grades 6-8.

About the facilitator

Tamsin Hinton-Smith is a Professor of the Sociology of Gender and Education in the School of Education and Social Work. Her current role is as Associate Dean for Culture, Equality and Inclusion for the Faculty of Social Sciences. Tamsin has extensive experience supervising and examining PhDs across different social science disciplines.

This session will give you a quick introduction to the world of entrepreneurship and the support available to postgraduate researchers interested in building a business/social enterprise or becoming self-employed.

Target audience

Postgraduate researchers at any stage and from all disciplines.

About the faciltiator

Helena Joyce, Careers and Enterprise Consultant.

Click here to book your place via Careerhub 

Preregistering your research or publishing a Registered Report enhances the transparency and credibility of the research process.

This introductory workshop will clarify the differences between preregistration and Registered Reports, provide practical advice on using preregistration tools and explore effective implementation strategies. In addition, it provides a chance to meet with others who share the same commitment to fostering open research practices.

Learning outcomes

By the end of the workshop, you will be able to

• Explain the differences between preregistration and Registered Reports and describe their benefits and limitations
• Find preregistration templates
• Identify journals that accept Registered Reports.
• Locate sources of support and guidance

Target audience

Postgraduate researchers at all stages and from all disciplines, and ECRs from all disciplines, broadly encompassing research assistants, postdoctoral researchers and research fellows at grades 6-8.

This two-part Canvas course aims to introduce you to carrying out statistical analysis using R. It assumes that you will have no prior familiarity with R, but that you have completed a course in statistics that includes topics such as multiple regression and multivariate analysis of variance.

Learning outcomes

By the end of the course you will:

• Be able to run analyses in R, including the use of R Studio and Deducer
• Understand objects and functions and be able to write simple functions
• Be able to enter, save and manage data files
• Carry out statistical analysis, including multiple regression, logistic regression, and linear mixed models.

Target audience

Postgraduate researchers and early career researchers at all stages and from all disciplines.

This two-part Canvas course builds on the Introduction to R course. Students should have some familiarity with R, and have attended Introduction to R or equivalent (essentially an introduction to the 'tidyverse').

The first day will be devoted to further exploration of the graphics package ggplot2, including comparing groups, and customising chart appearance using scale functions and themes.

The second day will introduce R Markdown as an alternative way of working with R and producing documents reporting analysis. We shall also look further at data manipulation, including data restructuring and joining datasets.

Target audience

Postgraduate researchers and early career researchers at all stages and from all disciplines.

This two-part Canvas course is ideal for researchers with no previous experience of using SPSS and covers the basics to get you started. This is a hands-on session focusing on how to use the SPSS programme. A basic knowledge of statistical concepts and terms is required and participants are expected to attend both parts of the course.

Working through a number of practical exercises, you will learn some of the key functions of SPSS, from data entry and creating basic output, to plotting figures and running more advanced statistical analyses.

Learning outcomes

By the end of the module you will:

• Enter data, plot figures and create some basic output such as descriptive statistics
• Run t-tests, correlations and simple linear regressions
• Run factorial ANOVA's
• Use the split file and filter functions
• Run a multiple regression
• Examine outliers, normality and transform data

Target audience

Postgraduate researchers and early career researchers at all stages and from all disciplines.

Keeping up with newly published research is essential and can be an over-whelming. This workshop introduces practical tools and techniques for discovering newly published literature in your field, including database alerts, academic networks, and publisher notifications.

You will learn how to integrate literature tracking into your research workflow and identify sources of support.

Learning outcomes

By the end of the workshop, you will be able to

• Identify key tools and platforms for discovering newly published literature
• Set-up personalised alerts and notification to monitor new publications in your research area
• Evaluate the relevance and reliability of sources when reviewing new literature.

Target audience

Postgraduate researchers at all stages and from all disciplines, and ECRs from all disciplines, broadly encompassing research assistants, postdoctoral researchers and research fellows at grades 6-8.

About the facilitators

The Library Research Support team support researchers at all levels across the University. They offer bookable one-to-one sessions tailored to suit your specific research needs, run various group training workshops, and organise seminars and events to engage with the research community on campus.

The Open Science Framework (OSF) is a free, open-source project management and collaboration tool that supports researchers throughout the entire research lifecycle-from planning, to conducting, to sharing and discovering research.

This workshop introduces the key features of OSF and demonstrates how it can be used to enhance transparency, collaboration, and reproducibility in academic research. You will learn how to create projects, collaborate with others and share outputs openly.

Learning outcomes

By the end of the workshop you will be able to

• Describe the OSF and explain the benefits of using OSF in academic research
• Use OSF to discover openly shared research outputs
• Create an account, set-up projects and share your research outputs openly and responsibly using OSF’s registration and licensing tools.
• Locate source of support and guidance

Target audience

Postgraduate researchers at all stages and from all disciplines, and ECRs from all disciplines, broadly encompassing research assistants, postdoctoral researchers and research fellows at grades 6-8.

About the facilitator

The Library Research Support team support researchers at all levels across the University. They offer bookable one-to-one sessions tailored to suit your specific research needs, run various group training workshops, and organise seminars and events to engage with the research community on campus.