In the last few years the UK’s Royal Society has produced a series of reports looking at how to take advantage of the promise of the data age, whilst also thinking about how to mitigate new risks that come alongside these opportunities.
This includes ‘Progress and research in cybersecurity’ (2016), ‘Machine learning’ (2017), ‘Data management and use’ (2017) and its latest report, published last month: “Protecting privacy in Practice, the current use development and limits of Privacy Enhancing Technologies in data analysis”. This report on Privacy Enhancing Technologies (PETs) came out of the requirements and opportunities identified in the previous reports, and looks at five PETs in detail, which it defines as:
This report is an excellent step in providing greater clarity on some particularly promising technologies, but, as the report recommends, further work is needed. The report itself touches on this in some of its seven recommendations:
With privacy concerns an ever present part of the data debate, an analysis of which technologies might help us to navigate the opportunities and risks of the data age couldn’t be more timely. But what are these PETs? What can they do and what can’t they do? How are they being used today, and how might they be used in the future? What are the barriers which stand in their way? And what privacy problems do they not address?
For our next data policy evening we’re fortunate to have Dr Franck Fourniol, Policy Advisor at the Royal Society and the author of the report, providing his reflections. In the usual way this will then be followed by a structured discussion of three key issues in this space.
We try to keep the event relatively small to enable group discussions, but if you think there’s someone who would be particularly interested in the topic then please let us know and we’d be happy to invite them.
Please come and join us for an evening of food, drinks, lively debate, and all things data policy.
Testimonials from previous attendees
“The Privitar events are a great place to learn about the latest research in data policy, meet experts from different sectors facing the same data questions, and engage in challenging and honest discussions about the issues and solutions of tomorrow.” – Christina Hitrova, The Turing
“I really enjoy the opportunity to meet such a diverse range of people from business, government, academia, and civil society at the Privitar data policy evenings.” – anonymous
“Privitar's data policy evenings are like a modern-day salon and always provide an interesting dive into the future of technology and policy” – anonymous
“It was such a treat to spend an evening in the Privitar office chatting with smart and friendly people who knew so much about privacy and data. I learned a lot and it definitely helped inform my work. Will be back!” – Fionntan O’Donell, Senior Data Technologist, ODI
“I thought there was a great mix of people with a breadth of expertise and experience, which led to really insightful conversations” – Eleonora Harwich, Director of Research, Reform
4th June 2019
5:45pm - 9:00pm
Alto Tower, 3rd Floor
5 Hatfields, SE1 9PG
London, United Kingdom
by invitation only
Dr Franck Fourniol, Policy Advisor at the Royal Society
Franck is a Policy Adviser in the Data policy team at the Royal Society, the national academy of sciences in the UK, which he joined in 2014. He has been leading on the Royal Society's Privacy Enhancing Technologies (PETs) policy project, supporting a group of Fellows of the Royal Society and other experts to investigate the potential of PETs in enabling the use and sharing of data whilst protecting sensitive information.
Franck is also leading a collaboration with the network of European Academies (ALLEA), connecting debates on the governance of data management and use at a European level. Having worked on other emerging technologies including synthetic biology, he has been thrilled to explore the policy implications of data and digital technologies since his involvement in the Royal Society's major programmes on machine learning and on the governance of data management and use.
Previously, Franck was a postdoctoral research scientist and obtained a PhD in biophysics in 2010 having resolved molecular mechanisms using electron microscopy and image processing. He studied at the École Normale Supérieure in Paris (Ulm).