We will further develop our leading expertise in data science, and we will drive digital transformation in our way of working. Data science The University is home to leading expertise in data science. We are the only Scottish member of the Alan Turing Institute, a five-university UK partnership enabling insights from large-scale data to be used for commercial purposes and to inform policy and practice in tackling environmental, health and other global challenges. We manage the leading UK supercomputer, ARCHER, and its associated Research Data Facility. We host national institutes including the Farr Institute and the Administrative Data Research Network. Our interdisciplinary Data Technology Institute will be a hub for our data science activity and our academic, public sector and industry co-developers. Case studies Case study: Li-Fi Case study: Alan Turing Institute Expertise and engagement Meaningful, intelligent data use is core to our research and vital if we are to lead the world in the growing areas of study where data and computation are changing analysis and discovery, from psychology to architecture to physics. In a future where data-intensive methods are essential to understanding the world, insight based on vast amounts of data will make humanity safer, healthier and more productive. Our data science expertise will underpin the multiple ways that we will transform our engagement with industry. To deliver this we will: change our students’ way of viewing the world, developing their mindset and providing them with the tools to succeed in a digital future; support researchers in extracting value from data and making key data accessible for research by investing in infrastructure and data assets, developed collaboratively and for the common good; promote innovation and best practice in the use and analysis of data; share physical and virtual spaces with global and local industry partners to ensure our expertise in data science reaches beyond our walls. Digital transformation We will ensure that we drive a culture of evidence and predictive decision-making within our own practices. We will drive digital transformation in our way of working. Our students and staff need the skills to ensure that they can thrive in a data-rich environment, using quantitative methods to inform decisions. Our teaching will embrace the availability of data and the technologies that support and use it. Our information systems, our data assets and the support we provide our staff and students will keep us at the leading edge of this data-driven revolution. Quick to adapt We need to ensure that we thrive in the digital economy and ensure all areas of the University can operate seamlessly in the digital world. We must be ready to adapt quickly to disruptive competition and technologies. To make this happen we will: offer a digital education experience including online programmes that widen access to an Edinburgh education beyond the city; invest in systems that make it easy for our staff to use and share all the information we create, driving efficiencies, enhancing the student experience, identifying new research opportunities, and operating our estate effectively; deepen our connections in the hyper-connected digital world; drive towards a digital culture that will culminate in a university where: every core service is fully digital; every educator is a digital educator; every student is a digital student; every decision is made from accessible, comprehensively based evidence and knowledge; every student and staff member is constantly updating their digital skills; we have moved from wondering what the future might hold to predicting the future.