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“So the real scandal is: Why did anyone ever listen to this guy?” « Statistical Modeling, Causal Inference, and Social Science. John Fund writes: [Imperial College epidemiologist Neil] Ferguson was behind the disputed research that sparked the mass culling of eleven million sheep and cattle during the 2001 outbreak of foot-and-mouth disease.

“So the real scandal is: Why did anyone ever listen to this guy?” « Statistical Modeling, Causal Inference, and Social Science

He also predicted that up to 150,000 people could die. There were fewer than 200 deaths. . . .In 2002, Ferguson predicted that up to 50,000 people would likely die from exposure to BSE (mad cow disease) in beef. In the U.K., there were only 177 deaths from BSE.In 2005, Ferguson predicted that up to 150 million people could be killed from bird flu. In the end, only 282 people died worldwide from the disease between 2003 and 2009.In 2009, a government estimate, based on Ferguson’s advice, said a “reasonable worst-case scenario” was that the swine flu would lead to 65,000 British deaths.

I don’t know. I guess I’d have to see the exact quotes that are being referred to in the paragraphs excerpted above. But it’s a good question, so let’s try to answer it. 1. Could be. 2. 3. 4. Satya Nadella: crisis requires co-ordinated digital response. This article is a part of a series in which the Financial Times asks leading commentators and policymakers what to expect from a post-Covid-19 future The writer is chief executive of Microsoft Society’s deepest concerns are rooted right now in two connected questions: how do we protect public health and how can we promote an economic recovery that is inclusive?

Satya Nadella: crisis requires co-ordinated digital response

A third question is becoming more important because intensive use of technology has become so central to the other two: how do we preserve the privacy and cyber security needed for trustworthy computing? The past two months have seen digitisation progression that would ordinarily take two years generated by the demands of remote working and the need for accurate data and intelligence. Amp.theguardian. We knew this was coming.


In her 1994 warning to the world, The Coming Plague, Laurie Garrett concluded: “While the human race battles itself, fighting over ever more crowded turf and scarcer resources, the advantage moves to the microbes’ court. They are our predators and they will be victorious if we, Homo sapiens, do not learn how to live in a rational global village that affords the microbes few opportunities.” Open data hub launches to track global responses to COVID-19. Imperial College London has launched a new survey to track how populations are responding to the coronavirus pandemic.

Open data hub launches to track global responses to COVID-19

Led by the College’s Institute of Global Health Innovation and in partnership with YouGov, the survey will collect responses from 30,000 people from 29* countries every week. The data will be integrated with information about the government safety policies, COVID-19 cases and deaths in each country and shared freely with the public, researchers and policy-makers in anonymised form through an online hub. The project is exploring over time the public’s attitudes towards government COVID-19 safety measures. Scientists have been sounding the alarm on coronavirus for months. Why did Britain fail to act? On 24 January, Chinese doctors and scientists reported the first description of a new disease caused by a novel coronavirus.

Scientists have been sounding the alarm on coronavirus for months. Why did Britain fail to act?

They described how a strange series of cases of pneumonia had presented in December in Wuhan, a city of 11 million people and the capital of Hubei province. At that time, 800 cases of the new disease had been confirmed. The virus had already been exported to Thailand, Japan and South Korea. Science Has Always Been Inseparable from Politics. Even now, on the heels of the March for Science, we see some scientists hesitate to acknowledge the fact that science is political.

Science Has Always Been Inseparable from Politics

Why wouldn’t they? We hold it up as the golden standard of objectivity, and synonymize it with words like ‘unbiased’ and ‘rational’, divorcing it from our human capriciousness. It’s quite natural to associate those notions with science. Amazon reaps $11,000-a-second coronavirus lockdown bonanza. The online retailer Amazon has been described as a “clear winner” from the coronavirus crisis, its share price surging by more than a third inside a month, its customers spending almost $11,000 a second on its products and services, and its owner, Jeff Bezos, reinforcing his position as the world’s richest person with a fortune of $138bn.

Amazon reaps $11,000-a-second coronavirus lockdown bonanza

While most businesses have been hit hard by the impact of the pandemic and the looming recession, shares in Amazon have risen to a record high as hundreds of millions people stuck in lockdown conditions turn to the delivery giant to keep them fed and entertained. Bezos, who started Amazon in his garage in 1994 and still owns 11% of the company’s shares, saw his paper fortune swell by $6.4bn (£5.1bn) on Tuesday alone as Amazon’s shares hit a record $2,283 – valuing the Seattle-based company at $1.14 trillion.

The shares continued to climb on Wednesday and were changing hands at $2,295. One month ago they were changing hands at $1,689. The next wave of coronavirus disruption? Automation. It’s funny how quickly the strange and unfamiliar become routine.

The next wave of coronavirus disruption? Automation

After weeks of awkwardness at the supermarket checkout, suddenly the choreography is getting easier: I’ve almost mastered the new rhythm of packing, waiting decorously for the cashier to move their hand away before swooping on whatever they’ve passed across the scanner. Even the sight of conveyor belts being doused with disinfectant after every customer seems almost normal now, although it shouldn’t. Supermarket workers have been the forgotten heroes of lockdown, valiantly turning up to work for not much money in one of the few public places the virus can still easily spread, providing the only friendly faces some customers will see until next week.

How to stop your smart home spying on you. During an interview with the BBC last year, Google’s senior vice-president for devices and services, Rick Osterloh, pondered whether a homeowner should disclose the presence of smart home devices to guests.

How to stop your smart home spying on you

“I would, and do, when someone enters into my home,” he said. When your central heating thermostat asks for your phone number, your TV knows what you like to watch and hackers can install spyware in your home through a lightbulb security flaw, perhaps it’s time we all started taking smart home privacy issues more seriously. Just this week the National Cyber Security Centre issued a warning to owners of smart cameras and baby monitors to review their security settings. You can get a quick overview of privacy options for many smart home devices using the Mozilla “*privacy not included” guide; however if you’ve already invested in particular technology, all is not lost. Is your smart TV watching as you watch telly? Trump’s Tweeting Isn’t Crazy. It’s Strategic, Typos and All. In the morning hours of Oct. 30, as most of the country slept, President Trump was binge tweeting again.

Trump’s Tweeting Isn’t Crazy. It’s Strategic, Typos and All.

At 2:32 a.m., he told his 87.3 million Twitter followers: “Way ahead in Texas! Watch the Great Red Wave!” Minutes later, he tweeted the hashtag #BidenCrimeFamiily, with a typo in the word “family.” That was it. No context, no link. #BidenCrimeFamily is part of a yearlong, effective disinformation campaign against Joe Biden. MIT Senseable City Lab. The Observer view on the information commissioner's Cambridge Analytica investigation. The 2018 Observer investigation into a hitherto obscure political consultancy sparked the most serious crisis yet to disrupt the world’s secretive social media giants and shed terrifying light on how their collection of our data reshaped political campaigning.

Today, Cambridge Analytica is a household name. Big Data Made Simple - One source. Many perspectives. What is data visualisation? A definition, examples and resources. Data visualisation is the graphical representation of information and data. By using visual elements like charts, graphs and maps, data visualisation tools provide an accessible way to see and understand trends, outliers and patterns in data. In the world of big data, data visualisation tools and technologies are essential for analysing massive amounts of information and making data-driven decisions. The advantages and benefits of good data visualisation Our eyes are drawn to colours and patterns. We can quickly identify red from blue, square from circle. The Top 10 Types of Data Visualization Made Simple – Boost Labs. Research shows that we create 2.5 quintillion bytes of data every single day. What types of data visualization do you use to properly digest all of that data?

While this is a staggering figure, it’s only going up as the Internet of Things (IoT) evolves. People Have Been Using Big Data Since the 1600s. John Graunt may have helped to invent the idea of public health statistics, but by day he made hats. Graunt, born on this day in 1620, was a London haberdasher who was the first to start putting together the information about how people died in the city to help gain a broader understanding of the causes of death and how people lived. In doing so, he gave people a tool that helped pave the way for all kinds of public health innovations, but he also created a historical document that conveys how authorities saw death and life in 1600s London.

Natural and Political Observations Made Upon Bills of Mortality, first published in 1662 and then revised several times with new information, represented a new way of understanding life and death. “In the landmark report, Graunt calculated death rates, identified variations by subset and pioneered the use of life tables, which show predicted mortality for each age group,” writes Jennie Cohen for 5 Google Projects That Changed Big Data Forever. “Google is living a few years in the future and sends the rest of us messages,” Doug Cutting, Hadoop founder Because of the nature of its business, Google has long been a pioneer in embracing both the challenges and opportunities of big data.

Google has had to solve the same challenges that many companies face—the difference is the sheer scale of the problem. They’ve often had to invent entirely new approaches to meet the need of their businesses. Over the past decade, Google has developed many custom solutions to support their own products and services. Data Science is OSEMN - Randy Lao - Medium. “Believe it or not, you are no different than Data. Controversial Data Science Experiments. 8 Examples of Industries Using Predictive Analytics Today. “Only one in four jokes ever work, and I still can't predict what people will laugh at,” said long-time American comedian Steven Wright. While prediction may not work in an industry like comedy, there are plenty of other industries where being able to predict outcomes and next steps are essential to short and long term successes.

What Is Predictive Analytics? 3 Real-World Examples of Predictive Analytics in Business Intelligence. Predictive analytics has become a popular concept, with interest steadily rising over the past five years according to Google Trends. Increasingly often, the idea of predictive analytics (also known as advanced analytics) has been tied to business intelligence. 17 Data Science Applications & Examples You Should Know. The 7 Most Important Data Mining Techniques.

5 data mining methods - The Daily Universe. Coding Over the Cracks: Predictive Analytics and Child Protection. Accenture Universal Principles Data Ethics. Why Big Data Has Been (Mostly) Good for Music. The story behind the UK's coronavirus symptom tracker app. The story of Britain’s most successful Covid-19 app – yes, there is such a thing – started with twins.

Tim Spector, a professor of genetic epidemiology at King’s College London, has been probing and observing identical twins for a long time – and in Just 1992 he launched the registry TwinsUK to aid research on the subject. His interest was investigating how people with identical genes could grow up to develop radically different traits and illnesses. Take nutrition: identical twins might eat the same food, but react very differently – maybe one will develop an allergy while the other won’t; or their blood sugar level would draw dissimilar curves, with different repercussions on each sibling’s metabolism. After decades spent researching twins at King’s College, in 2018 Spector teamed up with technologists Jonathan Wolf and George Hadjigeorgiou to launch a startup called ZOE. Coronavirus: Amazon, Microsoft and Palantir to aid NHS data analysis, says report.

Big technology companies are set to aid the UK's National Health Service (NHS) combat coronavirus by analysing data to determine where resources including ventilators, hospital beds and doctors will be needed most. According to a report by the BBC, Amazon, Microsoft and Palantir will be part of the effort, as well as Faculty AI, a London-based company which specialises in machine learning and artificial intelligence. Catherine D’Ignazio: 'Data is never a raw, truthful input – and it is never neutral' Our ability to collect and record information in a digital form has exploded as has our adoption of AI systems, which use data to make decisions.

How do I invite contributors to a group collection? – Wakelet.


Uses of Big Data. 'More scary than coronavirus': South Korea's health alerts expose private lives. The Smart, the Stupid, and the Catastrophically Scary: An Interview with an Anonymous Data Scientist. - The Washington Post. How Do We Create Information? Big Data Timeline- Series of Big Data Evolution. Idc seagate dataage whitepaper.

What is Big Data Visualization? Global social media research summary 2019. The complicated truth about China's social credit system. Projects. How Big Data Helps Avoid Cybersecurity Threats. Researchers Used This Genealogy Site to Build a 13 Million-Person Family Tree. Making sense of too much data. Data scientist jobs: Where does the big data talent gap lie? Can big data save these children? Big data’s power is terrifying. That could be good news for democracy. Will Democracy Survive Big Data and Artificial Intelligence? Data Analyst, the most in-demand job of the coming years - Morning Future. How We've Been Visualising Big Data Over the Centuries.

15 Stunning Data Visualizations (And What You Can Learn From Them) Robots are being used to deter homeless encampments in San Francisco. The Good, The Bad and The Robot: Experts Are Trying to Make Machines Be "Moral" The (Human) Ethics of Artificial Intelligence — KABLAMO. BCS - The Chartered Institute for IT. Consent Form. The big problem with big data? Without theory, it's just garbage. Facebook slammed for censoring burn victim's birthday photo.

Sky Views: Democracy burns as Facebook lets fake news thrive. Facebook data - as scandalous as MPs’ expenses? We Spent Two Weeks Wearing Employee Trackers: Here’s What We Learned. Smart cities need thick data, not big data. Speech: My Data Made Me Do It: Ethical Considerations of Big Data - September 30, 2016 - Office of the Privacy Commissioner of Canada.

Google employees reportedly quit over military drone AI project. The rise of big data policing. Order From Chaos: How Big Data Will Change the World. The Future of Big Data? Three Use Cases of Prescriptive Analytics. Information is Beautiful. The Chart Doctor. Music Timeline. Big data unites the study of stars with cancer research - BBC News. Big Data Visualization with Meaning. YouGov Profiles LITE. Children shouldn't learn to code. Ultimately, machines will be better. Big Data Tutorials. 10 actual uses of big data. From Fitbit to PlayStation, the justice system is drowning in digital evidence. Beyond the hype: Big data concepts, methods, and analytics. 4 Infrastructure Requirements for Any Big Data Initiative - FedTech.

Aadhaar: Is India's biometric ID scheme hurting the poor? Big Data secrets from Airbnb, Starbucks and Sonic. UK officials seek warrant to enter Cambridge Analytica HQ. Untitled. Data scandal is huge blow for Facebook – and efforts to study its impact on society. China’s credit ratings plan: from social media to medium of social control.

Kenneth Cukier: Big data is better data. Tube Heartbeat. Rise of the racist robots – how AI is learning all our worst impulses. America's gun culture in 10 charts. How Uber Uses Data to Improve Their Service and Create the New Wave of Mobility. The big data revolution: the high price of a force for good. Nesta - the innovation foundation. Big data meets Big Brother as China moves to rate its citizens. DeepMind's new AI ethics unit is the company's next big move. TfL may make £322m by selling on data from passengers' mobiles via Tube wifi. For ‘House of Cards,’ Using Big Data to Guarantee Its Popularity.

Why the rise of the robots could allow humans to flourish again.