Improbable, founded by Cambridge alumni Herman Narula (Girton 2007) and Rob Whitehead (Robinson 2009), became the UK's latest $1billion tech startup this week.
The largest-ever smartphone-based study examining the relationship between physical activity and happiness has found that even minimal levels of activity can have a positive effect on happiness.
Professor Valerie Gibson (Cavendish Laboratory) and Dr Mateja Jamnik (Computer Laboratory) have both received a Royal Society award for their efforts to increase and advance women in science, technology, engineering and maths (STEM).
As more and more crime moves online, computer scientists, criminologists and legal academics have joined forces in Cambridge to improve our understanding and responses to cybercrime, helping governments, businesses and ordinary users construct better defences.
Despite being founded on ideals of freedom and openness, censorship on the internet is rampant, with more than 60 countries engaging in some form of state-sponsored censorship. A research project at the University of Cambridge is aiming to uncover the scale of this censorship, and to understand how it affects users and publishers of information
The digital revolution is one of the great social transformations of our time. How can we make the most of it, and also minimise and manage its risks? Jon Crowcroft and John Thompson discuss the challenges as we commence a month-long focus on ‘digital society’.
Dr Andy Harter, Fellow of St Edmund’s College and the Cambridge University Computer Laboratory, has been awarded the Faraday Medal, the most prestigious award of the Institution of Engineering and Technology (IET).
Students from the UK’s top cyber security universities will compete in Cambridge this weekend, in part to address the country’s looming cyber security skills gap.
Data from location-based social networks may be able to predict when a neighbourhood will go through the process of gentrification, by identifying areas with high social diversity and high deprivation.
Desislava Hristova (Computer Laboratory) discusses how data from location-based social networks can be used to predict when a neighbourhood will go through the process of gentrification.