What the World’s First Medical Records Tell Us About Ancient Life


Essay by Robin Lane Fox: “The Hippocratic books now known as the Epidemics are entitled in Greek epidemiai. This title does not refer to epidemics as we now painfully recognize them, individual diseases which are spread widely through a population, whether by touch, inhaling, contact with wildlife, eating, drinking, kissing (which the elder Pliny, c. AD 70, recognized to be a means of transmitting diseases) or sex, while remaining one and the same disease. In the mid-fifth century BC, the amiable Ion, a poet and author from the island of Chios, composed Epidemiai which referred to his visits to the demos, or people, of individual city-states around the Greek world. His title has sometimes misled readers of the medical Epidemiai into thinking that their title, too, refers to traveling doctors’ visits to particular places. They refer to such visits, but their use of the verb epidemein shows that for them the word epidemia referred to the presence of a disease in a community. It was not necessarily a rampant disease in our sense of the word “epidemic,” and it was not contrasted with diseases which were endemic, a category the authors did not distinguish, but it was certainly a disease at large. This meaning was still correctly understood in later ancient commentaries on the Epidemic books.

By the mid-first century AD, seven books were grouped under this title: the grammarian Erotian referred then to “seven books of Epidemics” in the list of works which he considered, over-optimistically, to be by Hippocrates himself. The title went back to earlier editors, probably at least as early as the third century BC, but it may not have been used by any of the books’ original authors. All seven books share a distinctive feature. Whereas the other texts in the Hippocratic Corpus refer to patients in general, and only once, in passing, name an individual, the Epidemic books are quite different. They contain individual case histories, most of which specify the very place where the named patient lived, even the house or location. They are the very first observations and descriptions of real-life individuals during a number of days which survive anywhere in the world. In Babylonia written case histories of named individuals are unknown.

In China none survives until c. 170 BC, and even then they were presented for a different purpose, to defend their doctor-author’s reputation. In ancient Egypt, cases were discussed individually in the now-famous medical papyri whose contents date back into the second millennium BC, but they never name patients or describe observations of them day after day, let alone locate them at an exact address….(More)”.

People understand statistics better than politicians think


Sarah O’Connor at the Financial Times: “In 2015 I took my reporter’s notebook to Liverpool because statistics suggested it was enjoying a jobs boom. The unemployment gap between the northern English city and the national average had shrunk to the smallest in a decade. When I mentioned that fact to people I met, I might as well have said the grass was pink.

“It’s certainly not our experience, I would say I’ve never seen poverty at this level,” was the response from the director of the local Citizens Advice Bureau. A woman who ran a small cake business said: “My cynical side thinks straight away they’ve probably got zero-hours contracts somewhere — [they] are a great way of cooking the books.”

I thought of that trip when I read a newly published study that uses an in-depth survey and focus groups to delve into the British public’s understanding of economics. The headline findings are bleak. Large parts of the public have misperceptions about how economic concepts such as the unemployment rate are measured and they are “sceptical and cynical” about data.

One obvious response would be to blame inadequate education and worry that economic ignorance allows people to be duped by demagogues such as Nigel Farage in the UK and Donald Trump in the US.

Economic literacy classes in schools would certainly be a good idea, especially since most of those surveyed were “deeply interested” in the economy and regretted not understanding the details. But there’s more to this story. The public live and breathe the economy every day. If their first response to a statistic such as the unemployment rate is to say “that doesn’t feel right” (a common response in the focus groups) then perhaps it’s the economists who are missing something….(More)”.

Silicon Valley’s next goal is 3D maps of the world — made by us


Tim Bradshaw at the Financial Times: “When technology transformed the camera, the shift from film to digital sensors was just the beginning. As standalone cameras were absorbed into our phones, they gained software smarts, enabling them not only to capture light but also to understand the contents of a photo and even recognise people in it.

A similar transformation is now starting to happen to maps — and it too is powered by those advances in camera technology. In the next 20 years, our collective understanding of a “map” will be unrecognisable from the familiar grid of roads and places that has endured even as the A-Z street atlas has been supplanted by Google Maps.

Before long, countless objects and places will be captured and recreated in 3D digital models that we can view through our phones or even, at some stage, on headsets. This digital world might be populated by our avatars, turned into a playing field for new kinds of games or used to discover routes, buildings and services around us. 

Nobody seems sure yet what the killer app for this “digital twin” of Planet Earth might be, but that hasn’t stopped Silicon Valley from racing to build it anyway. Facebook, Apple, Google and Microsoft, as well as the developers of Snapchat and Pokémon Go, are all hoping to bring this “mirrorworld” to life, as a precursor to the augmented-reality (AR) glasses that many in tech see as the next big thing.

To place virtual objects in our world, our devices need to know the textures and contours of their surroundings, which GPS cannot see. But instead of sending out cars with protruding cameras to scan the world, as Google did to build Street View over the past decade and a half, these maps will be plotted by hundreds of millions of users like you and me. The question is whether we even realise that we have been dragooned into Silicon Valley’s army of cartographers. They cannot do it without us.

This month, Google said it would ask Maps users to upload photos to Street View using their smartphones for the first time. Only handsets running its AR software can contribute.  As Michael Abrash, chief scientist at Facebook’s Oculus headset unit, recently told Fast Company magazine: “Crowdsourcing has to be the primary way that this works. There is no other way to scale.”…(More)”.

Lawmakers are trying to create a database with free access to court records. Judges are fighting against it.


Ann Marimow in the Washington Post: “Leaders of the federal judiciary are working to block bipartisan legislation designed to create a national database of court records that would provide free access to case documents.

Backers of the bill, who are pressing for a House vote in the coming days, envision a streamlined, user-friendly system that would allow citizens to search for court documents and dockets without having to pay. Under the current system, users pay 10 cents per page to view the public records through the service known as PACER, an acronym for Public Access to Court Electronic Records.

“Everyone wants to have a system that is technologically first class and free,” said Rep. Hank Johnson (D-Ga.), a sponsor of the legislation with Rep. Douglas A. Collins (R-Ga.).

A modern system, he said, “is more efficient and brings more transparency into the equation and is easier on the pocketbooks of regular people.”…(More)”.

COVID-19 Pushes Digital Services from Luxury to Necessity


Zack Quintance at GovTech: “So much of American life was pushed out of physical spaces and onto the Internet this year, including the vast majority of local government services. Following the outbreak of COVID-19 and resultant social distancing guidelines, seemingly overnight it became dangerous to wait in line at city hall, or to interact with a public servant in close proximity across the space of a traditional counter.

As a result, long-simmering governmental efforts to modernize and make services digital in 2020 were supercharged. For digital government services, the danger of the virus was like a turbo boost for a race car that had been lazily chugging along. Indeed, public-sector entities at state and local levels have sought to catch up to private companies online for years, struggling to offer a modern customer experience to constituents with projects that have ranged from online permit renewal to 24-hour chatbots. With the pandemic, providing digital services fast moved from luxury to necessity….

A great example of the former at the state level took place in Vermont, specifically within that state’s Department of Motor Vehicles (DMV). The Vermont DMV was already working to launch a new online driver’s license renewal platform, one that would enable residents there to avoid in-person trips to the office. The pandemic made the timing of that launch ideal, finally giving users a digital option they could use from home.

And the Vermont DMV is far from alone. There were others at the state level that worked on and debuted new online processes as well. Maryland, for example, managed to stand up a new online grant application in the early days of the crisis, doing so in just eight hours. Digitization efforts like this have traditionally taken far longer, but agencywide buy-in was fostered here by COVID-19. Armed with this, the Maryland Department of Information Technology (DoIT) was able to rapidly collaborate with the state’s Department of Commerce to add new small business grant application functionality to a platform the IT shop had launched for a different purpose back in early 2018.

At the city level, Buffalo, N.Y., managed the similarly speedy task of transitioning its 311 infrastructure to be remote-operated as its city staff moved to work-from-home operations. In that instance, City Hall was vacated in the service of social distancing on a Friday, and by the following Monday, the IT shop had 311 up and running again via remote operation, doing so again with a collaboration, this time with the University of Buffalo and Cisco….(More)”.

Public Value Science


Barry Bozeman in Issues in Science and Technology: “Why should the United States government support science? That question was apparently settled 75 years ago by Vannevar Bush in Science, the Endless Frontier: “Since health, well-being, and security are proper concerns of Government, scientific progress is, and must be, of vital interest to Government. Without scientific progress the national health would deteriorate; without scientific progress we could not hope for improvement in our standard of living or for an increased number of jobs for our citizens; and without scientific progress we could not have maintained our liberties against tyranny.”

Having dispensed with the question of why, all that remained was for policy-makers to decide, how much? Even at the dawn of modern science policy, costs and funding needs were at the center of deliberations. Though rarely discussed anymore, Endless Frontier did give specific attention to the question of how much. The proposed amounts seem, by today’s standards, modest: “It is estimated that an adequate program for Federal support of basic research in the colleges, universities, and research institutes and for financing important applied research in the public interest, will cost about 10 million dollars at the outset and may rise to about 50 million dollars annually when fully underway at the end of perhaps 5 years.”

In today’s dollars, $50 million translates to about $535 million, or less than 2% of what the federal government actually spent for basic research in 2018. One way to look at the legacy of Endless Frontier is that by answering the why question so convincingly, it logically followed that the how much question could always be answered simply by “more.”

In practice, however, the why question continues to seem so self-evident because it fails to consider a third question, who? As in, who benefits from this massive federal investment in research, and who does not? The question of who was also seemingly answered by Endless Frontier, which not only offered full employment as a major goal for expanded research but also embraced “the sound democratic principle that there should be no favored classes or special privilege.”

But I argue that this principle has now been soundly falsified. In an economic environment characterized by growth but also by extreme inequality, science and technology not only reinforce inequality but also, in some instances, help widen the gap. Science and technology can be a regressivefactor in the economy. Thus, it is time to rethink the economic equation justifying government support for science not just in terms of why and how much, but also in terms of who.

What logic supports my claim that under conditions of conspicuous inequality, science and technology research is often a regressive force? Simple: except in the case of the most basic of basic research (such as exploration of other galaxies), effects are never randomly distributed. Both the direct and indirect effects of science and technology tend to differentially affect citizens according to their socioeconomic power and purchasing power….(More)”.

Intentional and Unintentional Sludge


Essay by Crawford Hollingworth and Liz Barker: “…Both of these stories are illustrations of what many mums and gymgoers may have experienced across the United Kingdom and United States as they tried to cope with the pandemic. We, along with other behavioral scientists, would label both as sludge—when users face high levels of friction obstructing their efforts to achieve something that is in their best interest, or are misled or encouraged to take action that is not in their best interest.

We can think of what the English mum goes through as unintentional sludge—friction due to factors like rushed design, poor infrastructure, and inadequate oversight. The mother is trying to access a benefit that will help her and which she has a right to claim, and which the government genuinely wants her to access. Yet multiple barriers prevented her from accessing the voucher that would help feed her children. Millions of parents found themselves in this situation as schools closed in England earlier this year. All over the country schools ended up paying for food parcels and gift vouchers out of their own budgets to help families who were going hungry.

What the New York gym-goer faces is different. It is intentional sludge—friction put in place knowingly to benefit an organization at the expense of the user. The gym doesn’t want him to cancel the membership, which would mean lost revenue. Even absent the pandemic, the policy would be considered unnecessarily difficult to cancel. The gym’s hope is that people forget, give up, or don’t bother canceling in person or over the phone, or that it takes them longer to do so. This translates into revenue for them, without any of the costs of providing a service. Stories like this have resulted in class-action lawsuits against companies that make it overly difficult or impossible to cancel gym memberships. One lawsuit alleged that one large gym company was stealing over $30 million per month from customers….(More)”.

Homo informaticus


Essay by Luc de Brabandere: “The history of computer science did not begin eighty years ago with the creation of the first electronic computer. To program a computer to process information – or in other words, to simulate thought – we need to be able to understand, dismantle and disassemble thoughts. In IT-speak, in order to encrypt a thought, we must first be able to decrypt it! And this willingness to analyse thought already existed in ancient times. So the principles, laws, and concepts that underlie computer science today originated in an era when the principles of mathematics and logic each started on their own paths, around their respective iconic thinkers, such as Plato and Aristotle. Indeed, the history of computer science could be described as fulfilling the dream of bringing mathematics and logic together. This dream was highlighted for the first time during the thirteenth century by Raymond Lulle, a theologian and missionary from Majorca, but it became the dream of Gottfried Leibniz in particular. This German philosopher wondered why these two fields had evolved side by side separately since ancient times, when both seemed to strive for the same goal. Mathematicians and logicians both wish to establish undeniable truths by fighting against errors of reasoning and implementing precise laws of correct thinking. The Hungarian journalist, essayist and Nobel laureate Arthur Koestler called this shock (because it always is a shock) of an original pairing of two apparently very separate things a bisociation.

We know today that the true and the demonstrable will always remain distinct, so to that extent, logic and mathematics will always remain fundamentally irreconcilable. In this sense Leibniz’s dream will never come true. But three other bisociations, admittedly less ambitious, have proved to be very fruitful, and they structure this short history. Famous Frenchman René Descartes reconciled algebra and geometry; the British logician George Boole brought algebra and logic together; and an American engineer from MIT, Claude Shannon, bisociated binary calculation with electronic relays.

Presented as such, the history of computer science resembles an unexpected remake of Four Weddings and a Funeral! Let’s take a closer look….(More)”.

Data Disappeared


Essay by Samanth Subramanian: “Whenever President Donald Trump is questioned about why the United States has nearly three times more coronavirus cases than the entire European Union, or why hundreds of Americans are still dying every day, he whips out one standard comment. We find so many cases, he contends, because we test so many people. The remark typifies Trump’s deep distrust of data: his wariness of what it will reveal, and his eagerness to distort it. In April, when he refused to allow coronavirus-stricken passengers off the Grand Princess cruise liner and onto American soil for medical treatment, he explained: “I like the numbers where they are. I don’t need to have the numbers double because of one ship.” Unable—or unwilling—to fix the problem, Trump’s instinct is to fix the numbers instead.

The administration has failed on so many different fronts in its handling of the coronavirus, creating the overall impression of sheer mayhem. But there is a common thread that runs through these government malfunctions. Precise, transparent data is crucial in the fight against a pandemic—yet through a combination of ineptness and active manipulation, the government has depleted and corrupted the key statistics that public health officials rely on to protect us.

In mid-July, just when the U.S. was breaking and rebreaking its own records for daily counts of new coronavirus cases, the Centers for Disease Control and Prevention found itself abruptly relieved of its customary duty of collating national numbers on COVID-19 patients. Instead, the Department of Health and Human Services instructed hospitals to funnel their information to the government via TeleTracking, a small Tennessee firm started by a real estate entrepreneur who has frequently donated to the Republican Party. For a while, past data disappeared from the CDC’s website entirely, and although it reappeared after an outcry, it was never updated thereafter. The TeleTracking system was riddled with errors, and the newest statistics sometimes appeared after delays. This has severely limited the ability of public health officials to determine where new clusters of COVID-19 are blooming, to notice demographic patterns in the spread of the disease, or to allocate ICU beds to those who need them most.

To make matters more confusing still, Jared Kushner moved to start a separate coronavirus surveillance system run out of the White House and built by health technology giants—burdening already-overwhelmed officials and health care experts with a needless stream of queries. Kushner’s assessments often contradicted those of agencies working on the ground. When Andrew Cuomo, New York’s governor, asked for 30,000 ventilators, Kushner claimed the state didn’t need them: “I’m doing my own projections, and I’ve gotten a lot smarter about this.”…(More)”.

Consumer Bureau To Decide Who Owns Your Financial Data


Article by Jillian S. Ambroz: “A federal agency is gearing up to make wide-ranging policy changes on consumers’ access to their financial data.

The Consumer Financial Protection Bureau (CFPB) is looking to implement the area of the 2010 Dodd-Frank Wall Street Reform and Consumer Protection Act pertaining to a consumer’s rights to his or her own financial data. It is detailed in section 1033.

The agency has been laying the groundwork on this move for years, from requesting information in 2016 from financial institutions to hosting a symposium earlier this year on the problems of screen scraping, a risky but common method of collecting consumer data.

Now the agency, which was established by the Dodd-Frank Act, is asking for comments on this critical and controversial topic ahead of the proposed rulemaking. Unlike other regulations that affect single industries, this could be all-encompassing because the consumer data rule touches almost every market the agency covers, according to the story in American Banker.

The Trump administration all but ‘systematically neutered’ the agency.

With the ruling, the agency seeks to clarify its compliance expectations and help establish market practices to ensure consumers have access to consumer financial data. The agency sees an opportunity here to help shape this evolving area of financial technology, or fintech, recognizing both the opportunities and the risks to consumers as more fintechs become enmeshed with their data and day-to-day lives.

Its goal is “to better effectuate consumer access to financial records,” as stated in the regulatory filing….(More)”.