Event overview
02079197919
Anomalistic Psychology Research Unit Invited Speaker Series 2017/18
Abstract
The scientific revolution began at the first meeting of the Royal Society in 1660. Central to its success was a resolution to 'take no-ones word for it.' with all knowledge to be determined by experiments, the results shared freely. To this day the scientific method continues to be remarkably successful
But recently science has faced a number of crises. Knowledge gets trapped behind paywalls, negative results never get published, politically motivated 'skeptics' attack inconvenient truths, large numbers of classic results fail to replicate, statistics and p-values get hacked to confirm researchers own biases.
This talk covers explains how and why Open Science is the radically honest solution to all these problems.
Biography
Dr Caspar Addyman is a developmental psychologist who studies how babies learn about the world. He is lecturer at Goldsmiths, University of London and spent a decade working at the world-renowned Birkbeck Babylab. He specializes in the study of learning in the first few years of life and has researched such topics as how we learn our first words, our first abstract concepts and how our sense of time develops. His Baby Laughter project (http://babylaughter.net) has surveyed families all over the world to find out just what causes little giggles.
Caspar has undergraduate degrees in Mathematics (Cambridge) and Psychology (London) and a PhD in developmental psychology. Before moving into academia he worked as a chef and then spent 8 years working on financial trading floors, first as a trader and later as a software developer. He has a written a novel, Help Yourself, about a retired psychologist and a failed comedian and is currently working on a popular science book about laughing babies.
In 2016 he received a British Academy Rising Star Engagement Award to promote Open Science.
www.goldsmiths.ac.uk/apru/speakers
Dates & times
Date | Time | Add to calendar |
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5 Dec 2017 | 6:00pm - 7:30pm |
Accessibility
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