DigiShift 52: How to avoid bias in data

Doing better with data

More and more charities are using data to understand their communities, activities and impact, and to shape their plans. But you need to be careful to avoid importing bias into your data. In this session, we'll explore what bias is, why it's a problem when working with data and how you can take action to make your data as free of bias as possible.

Antonio Campello

Antonio is a senior data scientist at the Wellcome Trust, responsible for developing data-driven tools to inform research funding decisions. From 2020-21, he led DataKind UK’s Scoping & Impact Committee, ensuring a consistent, measurable approach to their impact assessment and project selection. He holds a PhD in applied mathematics and is a former researcher at Imperial College London.

Understand what impact bias can have on data and how you can take steps to avoid and mitigate against this.

More and more charities are using data to understand their impact and to shape their plans. But you need to be careful to avoid importing bias into your data. In this DigiShift session, we'll explore what bias is, why it's a problem when working with data and how you can take action to make your data as free of bias as possible.

Anyone thinking about using data in their work in a charity or voluntary organisation

We really want to hear your views and so this event will be a Zoom meeting, which allows all participants to see who else is in attendance and lets us interact with everyone in attendance.