Revolution: Edinburgh Science Festival 2022

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The arrival of April in Edinburgh means daffodils, rain showers and the return of Edinburgh Science Festival! This years theme is Revolution and explores the revolution in science and ideas including the science, industrial, climate and data revolution. We've hunted out some of our mathsy highlights from the programme

The Datasphere exhibition at National Museums Scotland explores how data is collected analysed and used to understand the world around us. Adults can enjoy the exhibits with a drink and a DJ at Data After Dark on Thursday 21 April - a chance to be a big kid yourself!

Also at the National Museum Scotland you can use your logical thinking to build and code Lego robots for a penalty shoot out at Bricks and Blocks or find the circles in Maths, nature and everywhere!

There's plenty more to explore beyond data! Take a Mathematical Walking Tour through Edinburgh to discover where . Meanwhile little ones can go adventure with Captain Galileo and the Quest for Gold

Head to the Science Festival website to see the full programme and book your place

Latest News and Events

News

Twinkl Wild Maths Resources

We are delighted to once again be collaborating with Twinkl Scotland, who have produced a range of new free resources for this year's Wild Maths theme.

Early, First and Second Level have each received resources relating to Drummond Safari Park and to the topic of weather, linking to and informed by Curriculum for Excellence, which support teaching and learning maths.

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New Story: Finn Finity and the Wild Maths Zoo Adventure

Finn Finity and the Wild Maths Zoo Adventure is an interactive story that you can read together with your class or as a family. It incorporates maths puzzles and activities, that you solve as you read.

25th Sep
Event

Jobs of the Unknown - the Future of Statistics and Data Science Careers

University of Strathclyde | | Free
Join the Royal Statistical Society at the University of Strathclyde in Glasgow, for a fun and informative evening to learn more about careers in Statistics and Data Science.