Training opportunities

As part of the UK GIBA Network+, we are delivering a comprehensive training programme designed to equip our members with the skills, tools, and methods essential for advancing GIBA research. Our training programme aims to foster future interdisciplinary collaboration and enhance communication across the network.

This programme is centred around four key areas: theoretical concepts, data analysis, experimental techniques, and career development.

We expect the training courses will take a variety of formats (in-person, hybrid, webinars, and hackathons) to enable wide participation across the network.

We are now pleased to announce our first training course: Introduction to Experimental Design and Core Statistics, which will take place in person on 8–10 December in Cambridge.

Current opportunities

Introduction to Experimental Design and Core Statistics

Date: December 8th-10th 2025 (9:30am – 5:30pm) 

Location: West Hub, JJ Thomson Ave, Cambridge CB3 0US

An in-person training session on experimental design and fundamental principles of statistical analyses.

What will we cover?

The training course will combine theoretical lectures with practical exercises. Day 1 will begin with an introduction to experimental design, covering topics such as cohort design, power analysis, and randomisation. Days 2 and 3 will focus on core statistical principles, including:

Descriptive statistics and exploratory graphics

Probability ideas, normal distribution and confidence intervals

Hypothesis testing (comparing one group to a target or two groups)

One- and two-way ANOVA

Introduction to Logistic Regression

Who is this course for?

Applications are welcome from individuals at any career stage. However, the course is primarily designed for researchers who wish to strengthen their understanding of general statistical principles and assumptions in order to conduct appropriate analyses in their own research. It may be less suitable for those with advanced statistical knowledge or extensive experience in related areas.

Participants are expected to have a working knowledge of R/RStudio and must bring their own laptops.

To apply, you must be a member of the UK GIBA Network+. If you are not already a member, you can register here.

Fees and expenses

The course will be free to attend. In addition, we will reimburse both reasonable travel and accommodation expenses of all the participants (e.g. economy class train tickets and a maximum daily room rate of £130). Further guidance on claiming expenses can be found here.

Please get in touch via contact@giba-uk.org if you have any questions.

Application

If you are interested in attending the course, fill in your application here.

Submission deadline: Friday 17th October at 5 pm