Schedule: Data That Matters sessions

Location: King's Suite Level: Non-technical
Louise Marston (Nesta), Laura Bunt (Nesta)
Average rating: ***..
(3.00, 4 ratings)
Healthcare could be transformed by data. It is the subject of intense debate by clinicians, regulators, and politicians; too often patients are left out. Louise Marston and Laura Bunt from Nesta, the UK innovation agency, will discuss how the challenges in healthcare data exemplify the problems of personal data, and describe a vision of patients using data for their healthcare decisions in future. Read more.
Location: King's Suite Level: Non-technical
Matt Wood (Amazon Web Services)
Average rating: *****
(5.00, 3 ratings)
With the arrival of low cost DNA sequencing, genomics is moving ever closer to clinical practice. This presentation discusses how bioinformaticians are meeting the challenges of harnessing the value of ever growing collection of valuable genomic data. Read more.
Location: King's Suite Level: Intermediate
Adriana Lukas (London QS group)
Average rating: ***..
(3.40, 5 ratings)
Quantifying one's self, a growing trend, is about self-awareness, pattern spotting & behaviour change. What is missing is "data literacy" i.e. data expertise at individual level, not just for businesses and institutions.Uncovering hidden cause and effect in one's behaviour increases individual's autonomy and for that we need to have access to analytical tools and raw data. How & where to get them? Read more.
Location: King's Suite Level: Non-technical
Gavin Starks (Open Data Institute)
Average rating: ***..
(3.00, 3 ratings)
We live on a finite and bounded planet. This fact seems largely ignored in our global economic systems. AMEE has compiled millions of environmental data points. We are now combining them with large-scale financial data to create a "forcing function" that will drive mainstream environmental sustainability. Read more.
Location: King's Suite Level: Intermediate
Francine Bennett (Mastodon C)
Average rating: ***..
(3.00, 2 ratings)
Cloud computing enables cool massive-scale data analysis, but has a very large carbon footprint, especially since many public cloud providers are powered by coal-fired grids: annual data centre emissions are currently ~75 million tonnes and growing. This talk aims to increase understanding of the issue, and to demonstrate how to achieve big carbon reductions without reducing the analysis you do. Read more.
Location: King's Suite Level: Non-technical
Aron Pilhofer (New York Times), Mirko Lorenz (Deutsche Welle), Nicolas Kayser-Bril (Journalism++), Liliana Bounegru (European Journalism Centre)
Average rating: ***..
(3.75, 4 ratings)
Data journalism blurs the line between coders, data geeks and journalists. The Data Journalism Handbook encourages journalists to treat data as a source and to pick up their computer to try new ways of reporting. This session highlights key lessons from the book, including a) getting stories from data (big or small) b) business models for data driven newsrooms and c) how to get started. Read more.
Location: Buckingham Room Level: Non-technical
Brian Bot (Sage Bionetworks), Erich Huang (Sage Bionetworks)
Data-intensive scientific communication is broken. Ironically, the components necessary for open and executable science exist in isolation. clearScience is a pilot at Sage Bionetworks to assemble these components—data, code, and compute infrastructure into a stack that not only facilitates effective reporting of science, but delivery of the science itself. Read more.


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