I’m at Decepticon 2015 and will be liveblogging the talks in followups to this post. Up till now, research on deception has been spread around half a dozen different events, aimed at cognitive psychologists, forensic psychologists, law enforcement, cybercrime specialists and others. My colleague Sophie van der Zee decided to organise a single annual event to bring everyone together, and Decepticon is the the result. With over 160 registrants for the first edition of the event (and late registrants turned away) it certainly seems to have hit a sweet spot.
Each year we divide our masters of public policy students into teams and get them to write case studies of public policy failures. The winning team this year wrote a case study of the care.data fiasco. The UK government collected personal health information on tens of millions of people who had had hospital treatment in England and then sold it off to researchers, drug companies and even marketing firms, with only a token gesture of anonymisation. In practice patients were easy to identify. The resulting scandal stalled plans to centralise GP data as well, at least for a while.
Congratulations to Lizzie Presser, Maia Hruskova, Helen Rowbottom and Jesse Kancir, who tell the story of how mismanagement, conflicts and miscommunication led to a failure of patient privacy on an industrial scale, and discuss the lessons that might be learned. Their case study has just appeared today in Technology Science, a new open-access journal for people studying conflicts that arise between technology and society. LBT readers will recall several posts reporting the problem, but it’s great to have a proper, peer-reviewed case study that we can give to future generations of students. (Incidentally, the previous year’s winning case study was on a related topic, the failure of the NHS National Programme for IT.)
We’re advertising for four people to join the security group from October.
The first three are for two software engineers to join our new cybercrime centre, to develop new ways of finding bad guys in the terabytes and (soon) petabytes of data we get on spam, phish and other bad stuff online; and a lawyer to explore and define the boundaries of how we share cybercrime data.
The fourth is in Security analysis of semiconductor memory. Could you help us come up with neat new ways of hacking chips? We’ve invented quite a few of these in the past, ranging from optical fault induction through semi-invasive attacks generally. What’s next?