BBC Inside Science Folgen

Inside Science this week is all about our information - the stuff we volunteer and the traces our everyday movements leave behind.With the launch of NHS Test and Trace across England, if you start to feel unwell with suspected Covid-19 and call a new NHS hotline 119, you’ll be tested for the virus. Your close contacts will be traced and, if you test positive, you'll be asked to self-isolate for 7 days, and your contacts asked to quarantine for 14 days. The route to those close contacts is currently through manual tracing - you have to give the details of everyone with whom you’ve been in close contact. But in the coming weeks, the plan is to integrate the NHSX app, currently being trialled on the Isle of Wight. This will pick up close contacts with people you don't know, on public transport, for example, provided they also have the app. It’s a new way to fight a pandemic, but the pioneers here are the residents of the English town of Haslemere in Surrey who, back in 2017, were tackling a terrifyingly contagious and, thankfully, hypothetical virus spread by ‘patient zero’ Hannah Fry. Created for the BBC4 documentary: Contagion, it was an experiment to see how we could fight the next pandemic. The BBC built an app, which residents downloaded and, crucially, it created a data-set. Evolutionary Biologist Dr Lewis Spurgin, from University of East Anglia, has used this data-set to explore the impact that different control strategies could have on the spread of the virus that causes Covid-19.In a different case of tracking and tracing, involving some policing by members of the public and journalists, Dominic Cummings’ comings and goings have consumed the nation this week. Just how much are our everyday movements being clocked, monitored and recorded? What traces do our phones, cars and even our faces leave behind? And who gets to see this information? Marnie talks to researcher and broadcaster Stephanie Hare, author of the forthcoming book Technology Ethics.Presenter: Marnie Chesterton Producers: Beth Eastwood & Fiona Roberts

In response to listeners who have expressed coronavirus fatigue in recent weeks, Marnie Chesterton brings us up to date on some of the best and brightest breaking science we might have missed, with BBC’s Non-Covid-19 Science Correspondent Jonathan Amos.Inching back to pandemic news, Marnie investigates the fallout of the lockdown from a climate perspective. In many countries, citizens have been asked to stay at home and not to travel unless it’s strictly necessary. As a result, the hubbub of normal life has slowed to a trickle. What impact has this had on levels of carbon dioxide in the atmosphere? Corinne Le Quéré, the Royal Society Professor of Climate Change Science at the University of East Anglia, explains just how dramatically these emissions have been affected around the world. And the chances that intelligent life exists on other planets. David Kipping, Assistant Professor of Astronomy at Columbia University in the US, has calculated the odds of both life and intelligent life existing if he were to re-run earth’s history. Presenter - Marnie Chesterton Producer - Beth Eastwood

R seems to have found its way into the newspapers and on Radio 4 as if it’s a word, or a letter, that we should all be familiar with and understand. As part of the government’s briefing on Sunday, it appeared in a pseudo-equation, the infographic - 'COVID alert level = R + number of infections' - the Government called R the 'Rate of Infection', but it is commonly known as the 'Reproduction Number'. So what exactly is R, and what does it do? Mathematical Biologist, Kit Yates, from the University of Bath, clears up the confusion, and explains how R was first calculated for covid-19. And one of the scientists tracking R in the UK is Petra Klepac, who is Assistant Professor in Infectious Disease Modelling at the London School of Hygiene and Tropical Medicine. She explains how crucial R is in tracking the pandemic and how it’s now being used to shape the way we get out of lockdown.There are so many variables about who will survive Covid-19 and who, unfortunately, will not. Many people will only experience mild symptoms, but a minority will have a severe or even life-threatening response. Whilst some of the difference can be explained by age, or underlying health conditions, the reasons why men and some ethnic minorities and a number of apparently fit younger people become so ill, is one of the great puzzles of this pandemic. Some of the uncertainly is down to environmental effects. But a lot of the variability could be down to our genomes. To try and find out, this week Genomics England announced funding for a study - The GenOMICC - COVID Genomics UK (CoG-UK) Partnership for Severely Ill Patients to sequence the whole genomes of 20,000 severely ill and 15,000 asymptomatic or very mild patients. Led by Genomics England, these genomes will be compared with those held in the 100,000 Genomes Project dataset.The coronavirus pandemic is really highlighting the need for fast, accurate ways to analyse data on a global and national scale. Be that data on the number of people dying or track and trace data from various apps. But do we realise how much data we leave about ourselves online even in normal times? This is something Professors Tobias Preis and Suzy Moat in the Data Science Lab, at the Warwick Business School get very excited about. They use rapid analysis of big data to try and understand our behaviour as a way to rapidly inform economists and policy makers on how the world works. They have been looking at alternative data sources to give us quicker estimates of what’s happening in the world – travel patterns, economic indicators, how many people have a given disease.This is going to become invaluable both during and in the aftermath of the pandemic, when understanding the economic fallout will be key to helping the economy recover. Take their latest work – where they’re gathering much quicker estimates on the contributions of air travel to the UK’s GDP.Presenter – Marnie ChestertonProducers – Fiona Roberts and Beth Eastwood