Host: Maggie Philbin
Maggie Philbin has worked in radio and television for 30 years on a wide range of science, medical and technology programmes from Tomorrow’s World to Bang Goes The Theory. A popular keynote speaker and award host, she works consistently to improve diversity in contemporary industry, emphasising social and ethnic diversity are as important as gender. In June 2016 she was voted most influential woman in UK IT by Computer Weekly and also named 2016 Digital Leader of the Year.
Keynote: Robin Winsor
Robin Winsor is a highly influential futurist who is known for being both a playful and provocative agent of change. Over the course of his extraordinary career, Robin invented the world’s first direct digital x-ray imaging device, and led a not-for-profit technology accelerator to become one of Canada’s most vocal champions for the digitally disadvantaged.
Robin is a past recipient of a Manning Innovation Award, the Ernst & Young Entrepreneur of the Year Award, and in 2012, received a Queen’s Diamond Jubilee Medal for outstanding service to Canada. He holds multiple patents in medical imaging.
Host: Gemma Milne
Gemma writes about science, tech and the broad cultural issues surrounding their advancements. Her book ‘Smoke & Mirrors: How Hype Obscures the Future and How to See Past It’ is on the role hype plays in dictating and derailing crucial progress in science and tech (and how to empower yourself against it). Gemma is a PhD researcher at UCL focusing on the ethics and responsibility of corporate futurism. Gemma also co-hosts the Radical Science podcast, which discusses the role science plays in society with a variety of guests across disciplines, and she is a deep tech advisor – for governments, investors and other organisations working in those spaces.
Keynote: Ellen Friedman
Ellen Friedman, Principal Technologist at Hewlett Packard Enterprise, is an international speaker, author and scientist, with a doctorate in biochemistry from Rice University. She currently focuses on large-scale data analytics and AI/machine learning. Ellen was a committer for the Apache Drill and Apache Mahout open source software projects and co-author of multiple books published by O’Reilly Media, including AI & Analytics at Scale, AI & Analytics in Production, Machine Learning Logistics, A New Look at Anomaly Detection and Innovations in Recommendation.
Keynote: Albert King
Albert King is Chief Data Officer in The Scottish Government and leads the Data & Digital Identity Division : the centre of excellence for data in government. He is passionate about unlocking the power of data in Scotland focusing on trust, transparency, inclusion, innovation, and sustainability. Drawing on experience in digital and data across public and private sectors, he is responsible for delivering platforms that enable data and analytics, fostering data innovation and policy in data, identity and AI.
Panelists: Megan Stamper (Principle Data Scientist, BBC), Helen Hastie (Professor of Computer Science, Heriot-Watt University), Euan Gardner (Researcher PhD Student, Ryerson University), Robert Walker (Founder, Data Innovation.AI)
Host: Maggie Philbin
Keynote: Priya Lakhani
Priya Lakhani is an entrepreneur who has founded a food business, a social enterprise, and now leads a company developing the latest artificial intelligence and big data technology to understand how the brain learns. As well as starting businesses Priya has worked with government as a member of the Department of Business, Education and Skills’ Entrepreneur Forum. She is a regular contributor to BBC News’ and BBC World News’ review of global headlines. She has also advised a number of education and skills organisations, was named as an Entrepreneur of the Year and in Management Today’s ’35 Women Under 35’ list, and is the author of Inadequate: The System Failing our Teachers and Your Children.
Keynote: Matt Higgs
Matthew Higgs MMath, PhD is a Lecturer in Business Analytics at the University of Bristol and a Co-Investigator on the UKRI-funded project ‘Observatory for Monitoring Data-Driven Approaches to Covid-19’ (omddac.org.uk). Since completing his PhD in Computational Statistics and Machine Learning at University College London in 2011, Matthew has worked in technical and non-technical roles in academia, the commercial sector, and the public sector – with a focus on managing diverse stakeholders and developing data-driven products and solutions.