The science of operations, as derived from mathematics more especially, is a science of itself, and has its own abstract truth and value.
— Ada Lovelace
Celebrating Ada Lovelace Day

Can you think like a computer?

Long before computers became part of everyday life, Ada Lovelace imagined what they might one day be able to do. In the 1840s, she described an algorithm for Charles Babbage's Analytical Engine and is often regarded as one of the first computer programmers.
Ada Lovelace Day celebrates her legacy and the achievements of women in science, technology, engineering and mathematics. It is also a reminder of how important visibility and representation are in STEM.
So, this Ada Lovelace Day, we invite you to take a closer look at an idea that still shapes the way we work with technology today: How do you tell a machine exactly what you want it to do?
Challenge 1

Be precise

Give a computer instructions for making a cup of tea.
Which answer would you choose?

Instructions

A computer follows step-by-step instructions, called an algorithm.

Logic

It uses logical rules to make decisions and solve problems.

Automation

Once the instructions are set, a machine can repeat the task reliably and quickly.

Ada's big idea

Machines follow clear rules

A computer can't guess what you mean. It follows a set of precise instructions, step by step. If the instructions are clear enough, a machine can carry out complex tasks automatically.

Challenge 2

Order matters

A machine follows instructions exactly in the order you give them. Which sequence makes sense?

Did you know?

A closer look on Ada Lovelace

The people behind clear instructions

Meet our operations team

Our Operations team is made up of female technical editors who know a thing or two about clear instructions. Every day, they turn complex information into guidance that is precise, structured, and easy to follow.
For Ada Lovelace Day, this connection is especially fitting: clear instructions are not only essential in technical writing — they are also at the heart of how algorithms work.