Paper by J. Ramon Gil‐Garcia, Paul Henman, and Martha Alicia Avila‐Maravilla: “In the last two decades, Internet portals have been used by governments around the world as part of very diverse strategies from service provision to citizen engagement. Several authors propose that there is an evolution of digital government reflected in the functionality and sophistication of these portals and other technologies. More recently, scholars and practitioners are proposing different conceptualizations of “government as a platform” and, for some, this could be the next stage of digital government. However, it is not clear what are the main differences between a sophisticated Internet portal and a platform. Therefore, based on an analysis of three of the most advanced national portals, this ongoing research paper explores to what extent these digital efforts clearly represent the basic characteristics of platforms. So, this paper explores questions such as: (1) to what extent current national portals reflect the characteristics of what has been called “government as a platform?; and (2) Are current national portals evolving towards “government as a platform”?…(More)”.
Next100
PressRelease: “Next100, a new “startup” think tank built for and by the next generation of policy leaders, officially launched today with the announcement of its inaugural class of eight “Policy Entrepreneurs,” selected from a highly competitive pool of more than 740 applicants. These eight rising leaders will spend the next two years researching and developing policy solutions to the issues that matter most to the next generation, focusing in particular on: education, immigration, criminal justice, climate change, economic opportunity, and the intersections between such issues.
Next100 was announced as an independent think tank earlier this year by The Century Foundation (TCF), in celebration of TCF’s 100th anniversary. It is built as a different type of “think and do” tank — both in terms of the people, perspectives, and policy areas represented, as well as its approach to advancing policy change. The organization’s mission is to change the face and future of progressive policy, through making the policymaking space more inclusive of diverse, next generation voices, and by helping emerging leaders translate their creative policy ideas into tangible policy change.
“The next generation is too often and too easily excluded from the policymaking table, despite having the most at stake in the decisions made at that table,” said Emma Vadehra, executive director of Next100. “As a result, we end up with the same people, with the same ideas, trying to solve the same problems, in the same ways. Next100 is trying to change that, and reimagine what a think tank can and should be. We’re giving diverse leaders of the next generation a chance to cut through the inertia and bring their unmatched creativity, knowledge, skills, and experiences to bear on the policymaking process. Policy by those with the most at stake, for those with the most at stake.”…(More)”.
How Should Scientists’ Access To Health Databanks Be Managed?
Richard Harris at NPR: “More than a million Americans have donated genetic information and medical data for research projects. But how that information gets used varies a lot, depending on the philosophy of the organizations that have gathered the data.
Some hold the data close, while others are working to make the data as widely available to as many researchers as possible — figuring science will progress faster that way. But scientific openness can be constrained b y both practical and commercial considerations.
Three major projects in the United States illustrate these differing philosophies.
VA scientists spearhead research on veterans database
The first project involves three-quarters of a million veterans, mostly men over age 60. Every day, 400 to 500 blood samples show up in a modern lab in the basement of the Veterans Affairs hospital in Boston. Luis Selva, the center’s associate director, explains that robots extract DNA from the samples and then the genetic material is sent out for analysis….
Intermountain Healthcare teams with deCODE genetics
Our second example involves what is largely an extended family: descendants of settlers in Utah, primarily from the Church of Jesus Christ of Latter-day Saints. This year, Intermountain Healthcare in Utah announced that it was going to sequence the complete DNA of half a million of its patients, resulting in what the health system says will be the world’s largest collection of complete genomes….
NIH’s All of Us aims to diversify and democratize research
Our third and final example is an effort by the National Institutes of Health to recruit a million Americans for a long-term study of health, behavior and genetics. Its philosophy sharply contrasts with that of Intermountain Health.
“We do have a very strong goal around diversity, in making sure that the participants in the All of Us research program reflect the vast diversity of the United States,” says Stephanie Devaney, the program’s deputy director….(More)”.
How Tulsa is Preserving Privacy and Sharing Data for Social Good
Data across Sectors for Health: “Data sharing between organizations addressing social risk factors has the potential to amplify impact by increasing direct service capacity and efficiency. Unfortunately, the risks of and restrictions on sharing personal data often limit this potential, and adherence to regulations such as HIPAA and FERPA can make data sharing a significant challenge.
DASH CIC-START awardee Restore Hope Ministries worked with Asemio to utilize technology that allows for the analysis of personally identifiable information while preserving clients’ privacy. The collaboration shared their findings in a new white paper that describes the process of using multi-party computation technology to answer questions that can aid service providers in exploring the barriers that underserved populations may be facing. The first question they asked: what is the overlap of populations served by two distinct organizations? The results of the overlap analysis confirmed that a significant opportunity exists to increase access to services for a subset of individuals through better outreach…(More)”
What statistics can and can’t tell us about ourselves
Hannah Fry at The New Yorker: “Harold Eddleston, a seventy-seven-year-old from Greater Manchester, was still reeling from a cancer diagnosis he had been given that week when, on a Saturday morning in February, 1998, he received the worst possible news. He would have to face the future alone: his beloved wife had died unexpectedly, from a heart attack.
Eddleston’s daughter, concerned for his health, called their family doctor, a well-respected local man named Harold Shipman. He came to the house, sat with her father, held his hand, and spoke to him tenderly. Pushed for a prognosis as he left, Shipman replied portentously, “I wouldn’t buy him any Easter eggs.” By Wednesday, Eddleston was dead; Dr. Shipman had murdered him.
Harold Shipman was one of the most prolific serial killers in history. In a twenty-three-year career as a mild-mannered and well-liked family doctor, he injected at least two hundred and fifteen of his patients with lethal doses of opiates. He was finally arrested in September, 1998, six months after Eddleston’s death.
David Spiegelhalter, the author of an important and comprehensive new book, “The Art of Statistics” (Basic), was one of the statisticians tasked by the ensuing public inquiry to establish whether the mortality rate of Shipman’s patients should have aroused suspicion earlier. Then a biostatistician at Cambridge, Spiegelhalter found that Shipman’s excess mortality—the number of his older patients who had died in the course of his career over the number that would be expected of an average doctor’s—was a hundred and seventy-four women and forty-nine men at the time of his arrest. The total closely matched the number of victims confirmed by the inquiry….
In 1825, the French Ministry of Justice ordered the creation of a national collection of crime records. It seems to have been the first of its kind anywhere in the world—the statistics of every arrest and conviction in the country, broken down by region, assembled and ready for analysis. It’s the kind of data set we take for granted now, but at the time it was extraordinarily novel. This was an early instance of Big Data—the first time that mathematical analysis had been applied in earnest to the messy and unpredictable realm of human behavior.
Or maybe not so unpredictable. In the early eighteen-thirties, a Belgian astronomer and mathematician named Adolphe Quetelet analyzed the numbers and discovered a remarkable pattern. The crime records were startlingly consistent. Year after year, irrespective of the actions of courts and prisons, the number of murders, rapes, and robberies reached almost exactly the same total. There is a “terrifying exactitude with which crimes reproduce themselves,” Quetelet said. “We know in advance how many individuals will dirty their hands with the blood of others. How many will be forgers, how many poisoners.”
To Quetelet, the evidence suggested that there was something deeper to discover. He developed the idea of a “Social Physics,” and began to explore the possibility that human lives, like planets, had an underlying mechanistic trajectory. There’s something unsettling in the idea that, amid the vagaries of choice, chance, and circumstance, mathematics can tell us something about what it is to be human. Yet Quetelet’s overarching findings still stand: at some level, human life can be quantified and predicted. We can now forecast, with remarkable accuracy, the number of women in Germany who will choose to have a baby each year, the number of car accidents in Canada, the number of plane crashes across the Southern Hemisphere, even the number of people who will visit a New York City emergency room on a Friday evening….(More)”
Could footnotes be the key to winning the disinformation wars?
Karin Wulf at the Washington Post: “We are at a distinctive point in the relationship between information and democracy: As the volume of information dissemination has grown, so too have attempts by individuals and groups to weaponize disinformation for commercial and political purposes. This has contributed to fragmentation, political polarization, cynicism, and distrust in institutions and expertise, as a recent Pew Research Center report found. So what is the solution?
Footnotes.
Outside of academics and lawyers, few people may think about footnotes once they leave school. Indeed, there is a hackneyed caricature about footnotes as pedantry, the purview of tweedy scholars blinking as we emerge from fluorescent-lit libraries into the sun — not the concern of regular folks. A recent essay in the Economist even laid some of Britain’s recent woes at the feet of historians who spend too much time “fiddling with footnotes.”
But nothing could be further from the truth. More than ever, we need what this tool provides: accountability and transparency. “Fiddling with footnotes” is the kind of hygienic practice that our era of information pollution needs — and needs to be shared as widely as possible. Footnotes are for everyone.
Though they began as an elite practice, footnotes became aligned historically with modern democracy itself. Citation is rooted in the 17th-century emergence of enlightenment science, which asked for evidence rather than faith as key to supporting a conclusion. It was an era when scientific empiricism threatened the authority of government and religious institutions and newly developing institutional science publications, the Philosophical Transactions of the Royal Society, for example, began to use citations for evidence and reference. In one of Isaac Newton’s contributions to the journal in 1673, a reply to queries about his work on light and the color spectrum, he used citations to his initial publication on the subject (“see no. 80. Page 3075”).
By the 18th century, and with more agile printing, the majority of scientific publications included citations, and the bottom of the page was emerging as the preferred placement. Where scientific scholarship traveled, humanists were not far behind. The disdain of French philosopher and mathematician René Descartes for any discipline without rigorous methods was part of the prompt for historians to embrace citations….(More)”.
Government wants access to personal data while it pushes privacy
Sara Fischer and Scott Rosenberg at Axios: “Over the past two years, the U.S. government has tried to rein in how major tech companies use the personal data they’ve gathered on their customers. At the same time, government agencies are themselves seeking to harness those troves of data.
Why it matters: Tech platforms use personal information to target ads, whereas the government can use it to prevent and solve crimes, deliver benefits to citizens — or (illegally) target political dissent.
Driving the news: A new report from the Wall Street Journal details the ways in which family DNA testing sites like FamilyTreeDNA are pressured by the FBI to hand over customer data to help solve criminal cases using DNA.
- The trend has privacy experts worried about the potential implications of the government having access to large pools of genetic data, even though many people whose data is included never agreed to its use for that purpose.
The FBI has particular interest in data from genetic and social media sites, because it could help solve crimes and protect the public.
- For example, the FBI is “soliciting proposals from outside vendors for a contract to pull vast quantities of public data” from Facebook, Twitter Inc. and other social media companies,“ the Wall Street Journal reports.
- The request is meant to help the agency surveil social behavior to “mitigate multifaceted threats, while ensuring all privacy and civil liberties compliance requirements are met.”
- Meanwhile, the Trump administration has also urged social media platforms to cooperate with the governmentin efforts to flag individual users as potential mass shooters.
Other agencies have their eyes on big data troves as well.
- Earlier this year, settlement talks between Facebook and the Department of Housing and Urban Development broke down over an advertising discrimination lawsuit when, according to a Facebook spokesperson, HUD “insisted on access to sensitive information — like user data — without adequate safeguards.”
- HUD presumably wanted access to the data to ensure advertising discrimination wasn’t occurring on the platform, but it’s unclear whether the agency needed user data to be able to support that investigation….(More)”.
Investigators Use New Strategy to Combat Opioid Crisis: Data Analytics
Byron Tau and Aruna Viswanatha in the Wall Street Journal: “When federal investigators got a tip in 2015 that a health center in Houston was distributing millions of doses of opioid painkillers, they tried a new approach: look at the numbers.
State and federal prescription and medical billing data showed a pattern of overprescription, giving authorities enough ammunition to send an undercover Drug Enforcement Administration agent. She found a crowded waiting room and armed security guards. After a 91-second appointment with the sole doctor, the agent paid $270 at the cash-only clinic and walked out with 100 10mg pills of the powerful opioid hydrocodone.
The subsequent prosecution of the doctor and the clinic owner, who were sentenced last year to 35 years in prison, laid the groundwork for a new data-driven Justice Department strategy to help target one of the worst public-health crises in the country. Prosecutors expanded the pilot program from Houston to the hard-hit Appalachian region in early 2019. Within months, the effort resulted in the indictments of dozens of doctors, nurses, pharmacists and others. Two-thirds of them had been identified through analyzing the data, a Justice Department official said. A quarter of defendants were expected to plead guilty, according to the Justice Department, and additional indictments through the program are expected in the coming weeks.
“These are doctors behaving like drug dealers,” said Brian Benczkowski, head of the Justice Department’s criminal division who oversaw the expansion.
“They’ve been operating as though nobody could see them for a long period of time. Now we have the data,” Mr. Benczkowski said.
The Justice Department’s fraud section has been using data analytics in health-care prosecutions for several years—combing through Medicare and Medicaid billing data for evidence of fraud, and deploying the strategy in cities around the country that saw outlier billings. In 2018, the health-care fraud unit charged more than 300 people with fraud totaling more than $2 billion, according to the Justice Department.
But using the data to combat the opioid crisis, which is ravaging communities across the country, is a new development for the department, which has made tackling the epidemic a key priority in the Trump administration….(More)”.
The Internet Freedom League: How to Push Back Against the Authoritarian Assault on the Web
Essay by Richard A. Clarke And Rob Knake in Foreign Affairs: “The early days of the Internet inspired a lofty dream: authoritarian states, faced with the prospect of either connecting to a new system of global communication or being left out of it, would choose to connect. According to this line of utopian thinking, once those countries connected, the flow of new information and ideas from the outside world would inexorably pull them toward economic openness and political liberalization. In reality, something quite different has happened. Instead of spreading democratic values and liberal ideals, the Internet has become the backbone of authoritarian surveillance states all over the world. Regimes in China, Russia, and elsewhere have used the Internet’s infrastructure to build their own national networks. At the same time, they have installed technical and legal barriers to prevent their citizens from reaching the wider Internet and to limit Western companies from entering their digital markets.
But despite handwringing in Washington and Brussels about authoritarian schemes to split the Internet, the last thing Beijing and Moscow want is to find themselves relegated to their own networks and cut off from the global Internet. After all, they need access to the Internet to steal intellectual property, spread propaganda, interfere with elections in other countries, and threaten critical infrastructure in rival countries. China and Russia would ideally like to re-create the Internet in their own images and force the world to play by their repressive rules. But they haven’t been able to do that—so instead they have ramped up their efforts to tightly control outside access to their markets, limit their citizens’ ability to reach the wider Internet, and exploit the vulnerability that comes with the digital freedom and openness enjoyed in the West.
The United States and its allies and partners should stop worrying about the risk of authoritarians splitting the Internet. Instead, they should split it themselves, by creating a digital bloc within which data, services, and products can flow freely…(More)”.
Sharing Private Data for Public Good
Stefaan G. Verhulst at Project Syndicate: “After Hurricane Katrina struck New Orleans in 2005, the direct-mail marketing company Valassis shared its database with emergency agencies and volunteers to help improve aid delivery. In Santiago, Chile, analysts from Universidad del Desarrollo, ISI Foundation, UNICEF, and the GovLab collaborated with Telefónica, the city’s largest mobile operator, to study gender-based mobility patterns in order to design a more equitable transportation policy. And as part of the Yale University Open Data Access project, health-care companies Johnson & Johnson, Medtronic, and SI-BONE give researchers access to previously walled-off data from 333 clinical trials, opening the door to possible new innovations in medicine.
These are just three examples of “data collaboratives,” an emerging form of partnership in which participants exchange data for the public good. Such tie-ups typically involve public bodies using data from corporations and other private-sector entities to benefit society. But data collaboratives can help companies, too – pharmaceutical firms share data on biomarkers to accelerate their own drug-research efforts, for example. Data-sharing initiatives also have huge potential to improve artificial intelligence (AI). But they must be designed responsibly and take data-privacy concerns into account.
Understanding the societal and business case for data collaboratives, as well as the forms they can take, is critical to gaining a deeper appreciation the potential and limitations of such ventures. The GovLab has identified over 150 data collaboratives spanning continents and sectors; they include companies such as Air France, Zillow, and Facebook. Our research suggests that such partnerships can create value in three main ways….(More)”.