We are amid an information revolution, where advances in science and technology, as well as the day-to-day operation of successful organisations and businesses, are increasingly reliant on the analysis of data. Driving these advances is a deluge of data, which is outstripping the increase in computational power available to process it. Research in machine learning, AI & data science is already transforming our ability to work with large amounts of complex information. Over the next few years these trends will revolutionise how we think about data, how we process and visualise it, and how we put it to use.


Schedule of talks


2.00 – 2.10       Welcome & Introduction to the workshop (Steve Roberts, OMI Director)

2.10 – 2.50       Pete Krafft (Oxford Internet Institute & OMI)

Social Data Science and Public Interest Computing

2.50 – 3.30       Rebecca McFadden (Engineering Science & Astrophysics)

  Machine Learning in Radio Astronomy: Pathways to Discovery

3.30 – 4.00       Discussion & coffee/tea break

4.00 – 4.40       Paul Newman (Engineering Science)

                        Driven to Not Drive

4.40 – 5.30      Discussion, networking, drinks and canapés (kindly sponsored by Man/AHL)