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Ïã¸ÛÁùºÏ²Ê Social Data Institute

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The Ïã¸ÛÁùºÏ²Ê Social Data Institute brings together an interdisciplinary group of staff from across the SHS faculty. We work together to amplify Ïã¸ÛÁùºÏ²Ê’s advanced research and teaching in social data and methods.

Data is everywhere. From physical records spanning thousands of years to digital data being generated every second. But in a data-driven worldÌý how can we use this information to better understand society?Ìý

The Ïã¸ÛÁùºÏ²Ê Social Data Institute is a global leader in social data and methods. Led by the Faculty of Social and Historical Sciences (SHS) it combines pioneering research with world-leading teaching to help society understand the ethical, social and political significance of data across the world.Ìý

Drawing upon the breadth of expertise within the university, the Institute builds on the teaching of the Q-Step Centre and works with external partners such as the Financial Times, CPIÌýand the Economist to provide valuable internships for students.Ìý

The Institute works across a number of key areas:Ìý

  • Teaching the next generation of skilled social data scientistsÌý

Working across Ïã¸ÛÁùºÏ²Ê we’re creating a pipeline of skilled social data scientists who can apply quantitative and qualitive methods in both research and professional settings. Learn more.Ìý

  • Conducting pioneering data researchÌýÌýÌý

We encourage and support multi-disciplinary research into both global and local issues spanning everything from tax systems in Latin America to the future of high streets in the UK. Learn more.Ìý

  • Working with external partners to help public understanding of social dataÌý

Through our network of partners including government, charities, media organisations and the private sector we lead conversations on how society should handle and understand data. Learn more.Ìý

  • Promoting sector leadingÌýdata scienceÌý

We promote the provision of sector-leading approaches to text mining, modelling, simulation, data visualisation, artificial intelligence and the analysis of large, complex data sets.ÌýÌý