Open Covid Pledge


Pledge: “Immediate action is required to halt the COVID-19 Pandemic and treat those it has affected. It is a practical and moral imperative that every tool we have at our disposal be applied to develop and deploy technologies on a massive scale without impediment.

We therefore pledge to make our intellectual property available free of charge for use in ending the COVID-19 pandemic and minimizing the impact of the disease.

We will implement this pledge through a license that details the terms and conditions under which our intellectual property is made available.

How to make the Pledge

The first step for organizations wishing to make the Pledge is to publicly commit to making intellectual property relevant to COVID-19 freely available, by:

  • Posting a public statement that the organization is making the Pledge, on their website. 
  • Issuing an official press release.

And then sending us a link to this statement, a point of contact in the organization, and, at the organization’s discretion, a copy of their logo to display on this site.

How to implement the Pledge

The next step for organizations who have made the Pledge is to implement it via a license detailing the terms and conditions under which their intellectual property is made available. There are three options for doing so:

  • Adopt the Open COVID License, created by our legal team for organizations that wish to implement the Pledge simply and immediately on terms shared by many other organizations.
  • Create a custom license that accomplished the intent of the Pledge.
  • Identify existing license(s) that accomplish the goals of the Pledge.

As with making the Pledge, send us links to the license or licenses, a point of contact in the organization, and, at the organization’s discretion, a copy of their logo to display on this site….(More)”.

Covid-19 Changed How the World Does Science, Together


Matt Apuzzo and David D. Kirkpatrick at The New York Times: “…Normal imperatives like academic credit have been set aside. Online repositories make studies available months ahead of journals. Researchers have identified and shared hundreds of viral genome sequences. More than 200 clinical trials have been launched, bringing together hospitals and laboratories around the globe.

“I never hear scientists — true scientists, good quality scientists — speak in terms of nationality,” said Dr. Francesco Perrone, who is leading a coronavirus clinical trial in Italy. “My nation, your nation. My language, your language. My geographic location, your geographic location. This is something that is really distant from true top-level scientists.”

On a recent morning, for example, scientists at the University of Pittsburgh discovered that a ferret exposed to Covid-19 particles had developed a high fever — a potential advance toward animal vaccine testing. Under ordinary circumstances, they would have started work on an academic journal article.

“But you know what? There is going to be plenty of time to get papers published,” said Paul Duprex, a virologist leading the university’s vaccine research. Within two hours, he said, he had shared the findings with scientists around the world on a World Health Organization conference call. “It is pretty cool, right? You cut the crap, for lack of a better word, and you get to be part of a global enterprise.”…

Several scientists said the closest comparison to this moment might be the height of the AIDS epidemic in the 1990s, when scientists and doctors locked arms to combat the disease. But today’s technology and the pace of information-sharing dwarfs what was possible three decades ago.

As a practical matter, medical scientists today have little choice but to study the coronavirus if they want to work at all. Most other laboratory research has been put on hold because of social distancing, lockdowns or work-from-home restrictions.

The pandemic is also eroding the secrecy that pervades academic medical research, said Dr. Ryan Carroll, a Harvard Medical professor who is involved in the coronavirus trial there. Big, exclusive research can lead to grants, promotions and tenure, so scientists often work in secret, suspiciously hoarding data from potential competitors, he said.

“The ability to work collaboratively, setting aside your personal academic progress, is occurring right now because it’s a matter of survival,” he said….(More)”.

The War on Coronavirus Is Also a War on Paperwork


Article by Cass Sunstein: “As part of the war on coronavirus, U.S. regulators are taking aggressive steps against “sludge” – paperwork burdens and bureaucratic obstacles. This new battle front is aimed at eliminating frictions, or administrative barriers, that have been badly hurting doctors, nurses, hospitals, patients, and beneficiaries of essential public and private programs. 

Increasingly used in behavioral science, the term sludge refers to everything from form-filling requirements to time spent waiting in line to rules mandating in-person interviews imposed by both private and public sectors. Sometimes those burdens are justified – as, for example, when the Social Security Administration takes steps to ensure that those who receive benefits actually qualify for them. But far too often, sludge is imposed with little thought about its potentially devastating impact.

The coronavirus pandemic is concentrating the bureaucratic mind – and leading to impressive and brisk reforms. Consider a few examples. 

Under the Supplemental Nutrition Assistance Program (formerly known as food stamps), would-be beneficiaries have had to complete interviews before they are approved for benefits. In late March, the Department of Agriculture waived that requirement – and now gives states “blanket approval” to give out benefits to people who are entitled to them.

Early last week, the Internal Revenue Service announced that in order to qualify for payments under the Families First Coronavirus Response Act, people would have to file tax returns – even if they are Social Security recipients who typically don’t do that. The sludge would have ensured that many people never got money to which they were legally entitled. Under public pressure, the Department of Treasury reversed course – and said that Social Security recipients would receive the money automatically.

Some of the most aggressive sludge reduction efforts have come from the Department of Health and Human Services. Paperwork, reporting and auditing requirements are being eliminated. Importantly, dozens of medical services can now be provided through “telehealth.” 

In the department’s own words, the government “is allowing telehealth to fulfill many face-to-face visit requirements for clinicians to see their patients in inpatient rehabilitation facilities, hospice and home health.” 

In addition, Medicare will now pay laboratory technicians to travel to people’s homes to collect specimens for testing – thus eliminating the need for people to travel to health-care facilities for tests (and risk exposure to themselves or others). There are many other examples….(More)”.

The Concept of Function Creep


Paper by Bert-Jaap Koops: “Function creep – the expansion of a system or technology beyond its original purposes – is a well-known phenomenon in STS, technology regulation, and surveillance studies. Correction: it is a well-referenced phenomenon. Yearly, hundreds of publications use the term to criticise developments in technology regulation and data governance. But why function creep is problematic, and why authors call system expansion ‘function creep’ rather than ‘innovation’, is underresearched. If the core problem is unknown, we can hardly identify suitable responses; therefore, we first need to understand what the concept actually refers to.

Surprisingly, no-one has ever written a paper about the concept itself. This paper fills that gap in the literature, by analysing and defining ‘function creep’. This creates conceptual clarity that can help structure future debates and address function creep concerns. First, I analyse what ‘function creep’ refers to, through semiotic analysis of the term and its role in discourse. Second, I discuss concepts that share family resemblances, including other ‘creep’ concepts and many theoretical notions from STS, economics, sociology, public policy, law, and discourse theory. Function creep can be situated in the nexus of reverse adaptation and self-augmentation of technology, incrementalism and disruption in policy and innovation, policy spillovers, ratchet effects, transformative use, and slippery slope argumentation.

Based on this, function creep can be defined as *an imperceptibly transformative and therewith contestable change in a data-processing system’s proper activity*. What distinguishes function creep from innovation is that it denotes some qualitative change in functionality that causes concern not only because of the change itself, but also because the change is insufficiently acknowledged as transformative and therefore requiring discussion. Argumentation theory illuminates how the pejorative ‘function creep’ functions in debates: it makes visible that what looks like linear change is actually non-linear, and simultaneously calls for much-needed debate about this qualitative change…(More)”.

Birth of Intelligence: From RNA to Artificial Intelligence


Book by Daeyeol Lee: “What is intelligence? How did it begin and evolve to human intelligence? Does a high level of biological intelligence require a complex brain? Can man-made machines be truly intelligent? Is AI fundamentally different from human intelligence? In Birth of Intelligence, distinguished neuroscientist Daeyeol Lee tackles these pressing fundamental issues. To better prepare for future society and its technology, including how the use of AI will impact our lives, it is essential to understand the biological root and limits of human intelligence. After systematically reviewing biological and computational underpinnings of decision making and intelligent behaviors, Birth of Intelligence proposes that true intelligence requires life…(More)”.

The Rules of Contagion: Why Things Spread–And Why They Stop


Book by Adam Kucharski: “From ideas and infections to financial crises and “fake news,” why the science of outbreaks is the science of modern life.


These days, whenever anything spreads, whether it’s a YouTube fad or a political rumor, we say it went viral. But how does virality actually work? In The Rules of Contagion, epidemiologist Adam Kucharski explores topics including gun violence, online manipulation, and, of course, outbreaks of disease to show how much we get wrong about contagion, and how astonishing the real science is.
Why did the president retweet a Mussolini quote as his own? Why do financial bubbles take off so quickly? Why are disinformation campaigns so effective? And what makes the emergence of new illnesses–such as MERS, SARS, or the coronavirus disease COVID-19–so challenging? By uncovering the crucial factors driving outbreaks, we can see how things really spread — and what we can do about it….(More)”.

Researchers Develop Faster Way to Replace Bad Data With Accurate Information


NCSU Press Release: “Researchers from North Carolina State University and the Army Research Office have demonstrated a new model of how competing pieces of information spread in online social networks and the Internet of Things (IoT). The findings could be used to disseminate accurate information more quickly, displacing false information about anything from computer security to public health….

In their paper, the researchers show that a network’s size plays a significant role in how quickly “good” information can displace “bad” information. However, a large network is not necessarily better or worse than a small one. Instead, the speed at which good data travels is primarily affected by the network’s structure.

A highly interconnected network can disseminate new data very quickly. And the larger the network, the faster the new data will travel.

However, in networks that are connected primarily by a limited number of key nodes, those nodes serve as bottlenecks. As a result, the larger this type of network is, the slower the new data will travel.

The researchers also identified an algorithm that can be used to assess which point in a network would allow you to spread new data throughout the network most quickly.

“Practically speaking, this could be used to ensure that an IoT network purges old data as quickly as possible and is operating with new, accurate data,” Wenye Wang says.

“But these findings are also applicable to online social networks, and could be used to facilitate the spread of accurate information regarding subjects that affect the public,” says Jie Wang. “For example, we think it could be used to combat misinformation online.”…(More)”

Full paper: “Modeling and Analysis of Conflicting Information Propagation in a Finite Time Horizon,”

Coronavirus Innovation Map


The Coronavirus Innovation Map is a platform of hundreds of innovations and solutions from around the world that help people cope and adapt to life amid the coronavirus pandemic, and to connect innovators.

The CoronaVirus Innovation Map is a visualized global database that is mapping the innovations related to tackling coronavirus in various fields such as diagnostics, treatment, lifestyle changes, etc., on a geographical scale….

Our goal with the Coronavirus Innovation Map is to build a crowdsourced resource that maps hundreds of innovations and solutions globally that help people cope and adapt to life amid the coronavirus, and to connect innovators.

This platform is a database for innovators to know who the other players are and where the projects or startups are located allowing them to connect and create solutions in this field. Policymakers will also be able to efficiently look for viable solutions in one place.

You may use the map to browse initiatives in specific locations (type a city or country in the search box), or choose a category wherein you would like to find a solution….(More)”

The Fate of the News in the Age of the Coronavirus


Michael Luo at the New Yorker: “The shift to paywalls has been a boon for quality journalism. Instead of chasing trends on search engines and social media, subscription-based publications can focus on producing journalism worth paying for, which has meant investments in original reporting of all kinds. A small club of élite publications has now found a sustainable way to support its journalism, through readers instead of advertisers. The Times and the Post, in particular, have thrived in the Trump era. So have subscription-driven startups, such as The Information, which covers the tech industry and charges three hundred and ninety-nine dollars a year. Meanwhile, many of the free-to-read outlets still dependent on ad revenue—including former darlings of the digital-media revolution, such as BuzzFeed, Vice, HuffPost, Mic, Mashable, and the titles under Vox Media—have labored to find viable business models.

Many of these companies attracted hundreds of millions of dollars in venture funding, and built sizable newsrooms. Even so, they’ve struggled to succeed as businesses, in part because Google and Facebook take in the bulk of the revenue derived from digital advertising. Some sites have been forced to shutter; others have slashed their staffs and scaled back their journalistic ambitions. There are free digital news sites that continue to attract outsized audiences: CNN and Fox News, for instance, each draw well over a hundred million visitors a month. But the news on these sites tends to be commodified. Velocity is the priority, not complexity and depth.

A robust, independent press is widely understood to be an essential part of a functioning democracy. It helps keep citizens informed; it also serves as a bulwark against the rumors, half-truths, and propaganda that are rife on digital platforms. It’s a problem, therefore, when the majority of the highest-quality journalism is behind a paywall. In recent weeks, recognizing the value of timely, fact-based news during a pandemic, the TimesThe Atlantic, the Wall Street Journal, the Washington Post, and other publications—including The New Yorker—have lowered their paywalls for portions of their coronavirus coverage. But it’s unclear how long publishers will stay committed to keeping their paywalls down, as the state of emergency stretches on. The coronavirus crisis promises to engulf every aspect of society, leading to widespread economic dislocations and social disruptions that will test our political processes and institutions in ways far beyond the immediate public-health threat. With the misinformation emanating from the Trump White House, the need for reliable, widely-accessible information and facts is more urgent than ever. Yet the economic shutdown created by the spread of covid-19 promises to decimate advertising revenue, which could doom more digital news outlets and local newspapers.

It’s easy to underestimate the information imbalance in American society. After all, “information” has never felt more easily available. A few keyboard strokes on an Internet search engine instantly connects us to unlimited digital content. On Facebook, Instagram, and other social-media platforms, people who might not be intentionally looking for news encounter it, anyway. And yet the apparent ubiquity of news and information is misleading. Between 2004 and 2018, nearly one in five American newspapers closed; in that time, print newsrooms have shed nearly half of their employees. Digital-native publishers employ just a fraction of the diminished number of journalists who still remain at legacy outlets, and employment in broadcast-TV newsrooms trails that of newspapers. On some level, news is a product manufactured by journalists. Fewer journalists means less news. The tributaries that feed the river of information have been drying up. There are a few mountain springs of quality journalism; most sit behind a paywall.

A report released last year by the Reuters Institute for the Study of Journalism maps the divide that is emerging among news readers. The proportion of people in the United States who pay for online news remains small: just sixteen per cent. Those readers tend to be wealthier, and are more likely to have college degrees; they are also significantly more likely to find news trustworthy. Disparities in the level of trust that people have in their news diets, the data suggests, are likely driven by the quality of the news they are consuming….(More)”.

Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing


Book by Ron Kohavi, Diane Tang, and Ya Xu: “Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions.

Learn how to use the scientific method to evaluate hypotheses using controlled experiments Define key metrics and ideally an Overall Evaluation Criterion Test for trustworthiness of the results and alert experimenters to violated assumptions. Build a scalable platform that lowers the marginal cost of experiments close to zero. Avoid pitfalls like carryover effects and Twyman’s law. Understand how statistical issues play out in practice….(More)”.