SEDS is an interdisciplinary research unit established to foster the study of data science and new forms of data with a focus on its social, economic, and political aspects. SEDS aims to host, facilitate and promote research in social and economic data science through an annual programme of seminars, workshops and research projects delivered by a range of academic experts and research students. SEDS also forms a nexus for teaching and learning in data science, and for coordinating degree programs in data science that span departments, including the departments of Statistics, Methodology, and Mathematics. SEDS also works closely with the Division of Information Management and Technology to improve high performance computing and other computing facilities at the LSE, and the ability of LSE researchers and students to use this capacity effectively.
In promoting this social focus on data science, SEDS will also promote improved training in data science and computational methods among social scientists, a group traditionally lacking in these skills compared to their counterparts in STEM-focused data science fields. SEDS aims to become a centre of computational social science, bringing together research and teaching and learning in this area regardless of the discipline where it is applied.
In an increasingly data-driven age, governments, organisations and researchers are questioning how to harness the good that can come from responsible use of data while at the same time minimising inherent risks to individuals, groups, and society at large.
By leveraging its position as a world leader in social science research, LSE aims to develop the necessary tools for analysing large data sets and to answer questions regarding how organisations can make well informed data-driven decisions.
A Data Science Initiative at LSE will support interdisciplinary data science research and teaching across the School’s academic disciplines. It will form a hub for researchers to collaborate on data-driven research to address major challenges to governments, businesses and society.
As businesses, governments and academic institutions increasingly rely on data-driven decision-making, one of the main challenges they face is addressing the significant skills gap that exists in the field of data science.
LSE is launching three new data science degree programmes, as well as expanding its data science courses at its London and Beijing Summer Schools, offering executive programmes, and looking to support PhD and early career researchers to help develop the next generation of data scientists.
The School is working to equip students, researchers and executives with the skills they need to tackle business, science and social questions from a data perspective through the understanding of extracting useful information and knowledge from data.
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