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Alex is Chief Scientist and Director of Research and Evaluation at BIT. His recent published work has been on police body-worn cameras and he has led a number of large-scale randomised-controlled trials in education. Before joining BIT, Alex was at RAND Europe for 5.5 years, and spent three years coordinating and teaching…
- 21st Sep 2018
Randomisation and the Avengers - a critique of Thanos' methodology
SPOILERS—Don't read this post if you haven't seen the latest Avengers film! Before Chadwick Boseman, before Chris Hemsworth - before even Robert Downey Junior, comic books and superheroes were the exclusive domain of nerds. In these dark days, the Marvel Cinematic Universe (MCU) is everywhere, with millions of people now…
- 5th Jul 2018
What do evidence and olives have in common?
People can learn in a number of ways - through direct instruction, such as early lessons from parents; through watching what other people do and learning from their actions; or through our own experiences and trial and error. Psychologists have long studied the way in which we learn from our…
- 14th Dec 2017
Data science at BIT - first year report
This morning sees the publication of BIT’s first data science report. It marks the culmination of twelve months of work by our data science team, which was inaugurated in January 2017. The team have worked across policy areas from education to health to children’s social care and road safety, and…
- 14th Dec 2017
Using Data Science in Policy
The first report from BIT's Data Science team
- 15th Sep 2016
The Behavioural Insights Team’s Update Report: 2015-16
This report summarises the range and impact of BIT’s work over the past 12 months. In addition to the projects we have undertaken with the UK government, the report provides summaries of work conducted by our offices in Sydney, New York, and Singapore.
- 8th Jul 2016
Decision-making in children’s social care: quantitative analysis
Every day, social work practitioners make decisions about the wellbeing of thousands of vulnerable children and families. These decisions are often complex, concerning emotive issues in conditions of uncertainty. They are often made under both time and resource pressure. This report uses raw data on social work cases to reveal…
- 16th Oct 2015
World Statistics Day
It’s ‘World Statistics Day’ on October 20th! OK, it’s not quite as exciting as Christmas, but it does merit a moment of reflection - at least to encourage a next generation to marvel and pursue the wonder of statistics. As a young lecturer at Cambridge, my then Faculty made the…
- 2nd Jun 2015
"Powered to Detect Small Effect Sizes": You keep saying that. I do not think it means what you think it means.
Last month Aisling Ni Chonaire and I published a new Working Paper through the The Centre for Market and Public Organisation research centre. The paper explores how researchers can choose a sample size large enough to detect an effect in a randomised control trial, but small enough to make the…
- Academic publication
- 8th Apr 2015
“Powered to Detect Small Effect Sizes”: You keep saying that. I do not think it means what you think it means.
Randomised trials in education research are a valuable and increasingly common part of the research landscape. Choosing a sample size large enough to detect an effect but small enough to make the trial workable is a vital component.