Monday 10 February 17:30 - 18:30

Business School Lecture Theatre LGS
Imperial College London
South Kensington Campus

Tickets Unavailable
  • 🍻

Dark Data: Why What You Don't Know Matters

Science & Technology

Professor Hand will presents and discusses his latest publication Dark Data: Why What You Don't Know Matters

The book will be on sale at the drinks reception for £15 (RRP £25). Professor Hand will also be available to sign purchased copies.

About the book

This book is unusual. Most books about data—be they popular books about big data, open data, or data science, or technical statistical books about how to analyze data—are about the data you have. They are about the data sitting in folders on your computer, in files on your desk, or as records in your notebook. In contrast, this book is about data you don’t have—perhaps data you wish you had, or hoped to have, or thought you had, but nonetheless data you don’t have. Professor Hand argues, and illustrates with many examples, that the missing data are at least as important as the data you do have. The data you cannot see has the potential to mislead you, sometimes even with catastrophic consequences. Professor Hand shows how and why this can happen. But he also shows how it can be avoided—what you should look for to sidestep such disasters. And then, perhaps surprisingly, once we have seen how dark data arise and can cause such problems, Professor Hand shows how you can use the dark data perspective to flip the conventional way of looking at data analysis on its head: how hiding data can, if you are clever enough, lead to deeper understanding, better decisions, and better choice of actions.


Professor David Hand is Emeritus Professor of Mathematics and Senior Research Investigator at Imperial College London, where he formerly held the Chair in Statistics. He is a Fellow of the British Academy, an Honorary Fellow of the Institute of Actuaries, and has served (twice) as President of the Royal Statistical Society. He previously Chaired the Research Board of Imperial College’s Data Science Institute and the UK’s Administrative Data Research Network and spent eight years as Chief Scientific Advisor to Winton Capital Management. He has published 300 scientific papers and 29 books, including Principles of Data Mining, Information Generation, Measurement Theory and Practice, The Improbability Principle, and The Wellbeing of Nations.

Please note that Imperial College London processes your personal data in line with the Advancement Privacy Notice. If you have any questions or concerns about this, please contact [email protected]


You must login before you can post a comment..

From our Partners