Big data has big potential for healthcare. From epidemiological analysis to early diagnosis, the datafication of life opens up new opportunities for preventative, diagnostic and therapeutic data analytics. However, accessing and analysing data in ethical and lawful ways is a complex challenge.
This workshop brings together data scientists, clinicians, policymakers, technology developers, and researchers who are working in the context of health big data. The workshop aims to collaboratively map data flows in healthcare and explore innovative responses to ethical, legal, and social opportunities and challenges with particular attention to three questions:
- How is data currently collected, accessed, kept, shared and repurposed within agencies connected to NHS and in collaboration with others, including private agencies?
- How would those flows transform with the incorporation of privacy preserving techniques such as Multi Party Computing (MPC)?
- What are benefits and obstacles in current and speculative health big data analytics in terms of privacy, trust and interoperability?
It will be an interactive workshop. We will showcase available technologies, and use your expertise and experience to discuss current obstacles in your work, both in terms of process and technology, as well as the potential and challenges of big data to support better healthcare in practice.
The Workshop is hosted by the SODA projectwhich develops novel approaches and technologies that allow data sharing without compromising data security or privacy, including multi-party computing (MPC) and privacy preserving techniques for ethical big data analytics in healthcare. This workshop is a collaboration between researchers at Lancaster University, people affected by long term diseases such as diabetes and dementia, their carers, and the Alexandra Institute in Aarhus, Denmark.
We would be delighted to welcome you. Please register here to secure a place.
09:00 – 09:30 > Welcome, Registration and Coffee
09:30 – 09:45 > Introduction
09:45 – 10:45 > Mapping Data Flows
10:45 – 11:00 > Coffee Break
11:00 – 11:45 > MPC Demo
11:45 – 12:30 > Setting up an MPC collaboration: Initial Discussion
12:30 – 13:30 > Lunch Break
13:30 – 14:15 > Rapid Prototyping Data Interoperability
14:15 – 15:00 > Is IT ethical? – Ethics through Design
15:00 – 15:30 > Coffee Break
15:30 – 16:30 > Plenary and Next Steps