‘Very Harmful’ Lack of Data Blunts U.S. Response to Outbreaks


Paper by Sharon LaFraniere: “After a middle-aged woman tested positive for Covid-19 in January at her workplace in Fairbanks, public health workers sought answers to questions vital to understanding how the virus was spreading in Alaska’s rugged interior.

The woman, they learned, had underlying conditions and had not been vaccinated. She had been hospitalized but had recovered. Alaska and many other states have routinely collected that kind of information about people who test positive for the virus. Part of the goal is to paint a detailed picture of how one of the worst scourges in American history evolves and continues to kill hundreds of people daily, despite determined efforts to stop it.

But most of the information about the Fairbanks woman — and tens of millions more infected Americans — remains effectively lost to state and federal epidemiologists. Decades of underinvestment in public health information systems has crippled efforts to understand the pandemic, stranding crucial data in incompatible data systems so outmoded that information often must be repeatedly typed in by hand. The data failure, a salient lesson of a pandemic that has killed more than one million Americans, will be expensive and time-consuming to fix….(More)”.

The precise cost in needless illness and death cannot be quantified. The nation’s comparatively low vaccination rate is clearly a major factor in why the United States has recorded the highest Covid death rate among large, wealthy nations. But federal experts are certain that the lack of comprehensive, timely data has also exacted a heavy toll.

“It has been very harmful to our response,” said Dr. Ashish K. Jha, who leads the White House effort to control the pandemic. “It’s made it much harder to respond quickly.”

Details of the Fairbanks woman’s case were scattered among multiple state databases, none of which connect easily to the others, much less to the Centers for Disease Control and Prevention, the federal agency in charge of tracking the virus. Nine months after she fell ill, her information was largely useless to epidemiologists because it was impossible to synthesize most of it with data on the roughly 300,000 other Alaskans and the 95 million-plus other Americans who have gotten Covid.

Accelerating Government Innovation With Leadership and Stimulus Funding


Paper by Jane Wiseman: “With the evolving maturity of innovation offices and digital teams comes the imperative for leaders and managers to provide pathways for these organizations to succeed and work together effectively, in terms of embracing new ideas and scaling those that prove effective beyond a prototype or pilot. The availability of a large, one-time infusion of federal funds to support state and local services and programs through the American Rescue Plan Act, the Infrastructure law, and other recent laws provides State and local leaders with a unique opportunity to collaborate with their federal partners and promote innovation that improves the lives of their people. Data and innovation teams can help government be more efficient and effective in spending stimulus funds at the state and local level in the coming years.

In this new report, Jane Wiseman explores various ways that executives can leverage stimulus funding to incentivize success across multiple innovation and data roles, drive forward work from those roles into digital service development and delivery. Through close examination of multiple cases in the field, the author develops a framework with specific recommendations for how leaders can drive opportunities for innovators to complement each other to the benefit of public good, including key skills or characteristics that correlate to success.

This report is intended to help leaders of current government innovation groups, including chief data officers, chief digital officers, innovation team leaders, and similar groups, to learn from successful models that they can apply directly to their operations to be more effective. The report also provides lessons and recommendation for senior executives in government, such as a cabinet secretary, governor, county executive or mayor, to help them think through the possible models of effective practices to support the range of innovation roles, define success…(More)”.

Changing Perceptions about Harm Can Temper Moral Outrage


Article by Jordan Wylie and Ana Gantman: “Comprehensive sex education works. Years of research show that it is much more effective than an abstinence-only approach at preventing teen pregnancy. In fact, abstinence-only programs may actually increase unplanned pregnancies and can contribute to harmful shaming and sexist attitudes.

Yet abstinence, or “sexual risk avoidance,” programs persist in the U.S. Why? Ultimately many people believe that teenagers should not have sex. If adolescents just abstain, they reason, unplanned pregnancies and sexually transmitted diseases will no longer be a problem. By contrast, comprehensive sex education operates under the premise that some young people do engage in sexual behavior, so it is worthwhile to help them understand how to avoid unwanted outcomes. For dedicated abstinence-only advocates, however, that approach is morally wrong.

Given the deeply held moral beliefs many people bring to this topic, it’s easy to think the debate over sex ed is doomed to a stalemate between those who want to ban it and those who want to promote it. And this is just one of several subjects where policy makers face a tough choice: ban or prohibit a potentially harmful activity, or allow it to continue while mitigating the harm. Mitigation options include needle-exchange programs that help people who use intravenous drugs lower their risk of contracting blood-borne illnesses. Another example is mandatory waiting periods for firearms purchases, which allow people to possess firearms but also reduce homicides.

These harm-reduction strategies are often effective, but they can be unpopular. That’s because issues like sexual behavior, drug use and gun ownership involve highly moralized opinions. Research shows that when people feel moral outrage toward a behavior, they are more likely to support policies that aim to completely stop that activity rather than make it safer.

But our research suggests that not all expressions of moral outrage are alike. Through a series of studies that involved surveying more than 1,000 Americans, we found that, in some cases, people base their moral opposition on the harm that an action causes. In those instances, if you can find ways to make an activity safer, you can also make it more morally acceptable…(More)”

California Governor Signs Sweeping Children’s Online Safety Bill


Article by Natasha Singer: “California will adopt a broad new approach to protecting children online after Gov. Gavin Newsom signed a bill on Thursday that could transform how many social networks, games and other services treat minors.

Despite opposition from the tech industry, the State Legislature unanimously approved the bill at the end of August. It is the first state statute in the nation requiring online services likely to be used by youngsters to install wide-ranging safeguards for users under 18.

Among other things, the measure will require sites and apps to curb the risks that certain popular features — like allowing strangers to message one another — may pose to younger users. It will also require online services to turn on the highest privacy settings by default for children.

“We’re taking aggressive action in California to protect the health and well-being of our kids,” Governor Newsom said in a statement that heralded the new law as “bipartisan landmark legislation” aimed at protecting the well-being, data and privacy of children.

Called the California Age-Appropriate Design Code Act, the new legislation compels online services to take a proactive approach to safety — by designing their products and features from the outset with the “best interests” of young users in mind.

The California measure could apply to a wide range of popular digital products that people under 18 are likely to use: social networks, game platforms, connected toys, voice assistants and digital learning tools for schools. It could also affect children far beyond the state, prompting some services to introduce changes nationwide, rather than treat minors in California differently…(More)”.

Unlocking the Potential of Open 990 Data


Article by Cinthia Schuman Ottinger & Jeff Williams: “As the movement to expand public use of nonprofit data collected by the Internal Revenue Service advances, it’s a good time to review how far the social sector has come and how much work remains to reach the full potential of this treasure trove…Organizations have employed open Form 990 data in numerous ways, including to:

  • Create new tools for donors.For instance, the Nonprofit Aid Visualizer, a partnership between Candid and Vanguard Charitable, uses open 990 data to find communities vulnerable to COVID-19, and help address both their immediate needs and long-term recovery. Another tool, COVID-19 Urgent Service Provider Support Tool, developed by the consulting firm BCT Partners, uses 990 data to direct donors to service providers that are close to communities most affected by COVID-19.
  • More efficiently prosecute charitable fraud. This includes a campaign by the New York Attorney General’s Office that recovered $1.7 million from sham charities and redirected funds to legitimate groups.
  • Generate groundbreaking findings on fundraising, volunteers, equity, and management. researcher at Texas Tech University, for example, explored more than a million e-filed 990s to overturn long-held assumptions about the role of cash in fundraising. He found that when nonprofits encourage noncash gifts as opposed to only cash contributions, financial contributions to those organizations increase over time.
  • Shed light on harmful practices that hurt the poor. A large-scale investigative analysis of nonprofit hospitals’ tax forms revealed that 45 percent of them sent a total of $2.7 billion in medical bills to patients whose incomes were likely low enough to qualify for free or discounted care. When this practice was publicly exposed, some hospitals reevaluated their practices and erased unpaid bills for qualifying patients. The expense of mining data like this previously made such research next to impossible.
  • Help donors make more informed giving decisions. In hopes of maximizing contributions to Ukrainian relief efforts, a record number of donors are turning to resources like Charity Navigator, which can now use open Form 990 data to evaluate and rate a large number of charities based on finances, governance, and other factors. At the same time, donors informed by open 990 data can seek more accountability from the organizations they support. For example, anti-corruption researchers scouring open 990 data and other records uncovered donations by Russian oligarchs aligned with President Putin. This pressured US nonprofits that accepted money from the oligarchs to disavow this funding…(More)”.

A Prehistory of Social Media


Essay by Kevin Driscoll: “Over the past few years, I’ve asked dozens of college students to write down, in a sentence or two, where the internet came from. Year after year, they recount the same stories about the US government, Silicon Valley, the military, and the threat of nuclear war. A few students mention the Department of Defense’s ARPANET by name. Several get the chronology wrong, placing the World Wide Web before the internet or expressing confusion about the invention of email. Others mention “tech wizards” or “geniuses” from Silicon Valley firms and university labs. No fewer than four students have simply written, “Bill Gates.”

Despite the internet’s staggering scale and global reach, its folk histories are surprisingly narrow. This mismatch reflects the uncertain definition of “the internet.” When nonexperts look for internet origin stories, they want to know about the internet as they know it, the internet they carry around in their pockets, the internet they turn to, day after day. Yet the internet of today is not a stable object with a single, coherent history. It is a dynamic socio-technical phenomenon that came into being during the 1990s, at the intersection of hundreds of regional, national, commercial, and cooperative networks—only one of which was previously known as “the internet.” In short, the best-known histories describe an internet that hasn’t existed since 1994. So why do my students continue to repeat stories from 25 years ago? Why haven’t our histories kept up?

The standard account of internet history took shape in the early 1990s, as a mixture of commercial online services, university networks, and local community networks mutated into something bigger, more commercial, and more accessible to the general public. As hype began to build around the “information superhighway,” people wanted a backstory. In countless magazines, TV news reports, and how-to books, the origin of the internet was traced back to ARPANET, the computer network created by the Advanced Research Projects Agency during the Cold War. This founding mythology has become a resource for advancing arguments on issues related to censorship, national sovereignty, cybersecurity, privacy, net neutrality, copyright, and more. But with only this narrow history of the early internet to rely on, the arguments put forth are similarly impoverished…(More)”.

Cloud labs and remote research aren’t the future of science – they’re here


Article by Tom Ireland: “Cloud labs mean anybody, anywhere can conduct experiments by remote control, using nothing more than their web browser. Experiments are programmed through a subscription-based online interface – software then coordinates robots and automated scientific instruments to perform the experiment and process the data. Friday night is Emerald’s busiest time of the week, as scientists schedule experiments to run while they relax with their families over the weekend.

There are still some things robots can’t do, for example lifting giant carboys (containers for liquids) or unwrapping samples sent by mail, and there are a few instruments that just can’t be automated. Hence the people in blue coats, who look a little like pickers in an Amazon warehouse. It turns out that they are, in fact, mostly former Amazon employees.

Plugging an experiment into a browser forces researchers to translate the exact details of every step into unambiguous code

Emerald originally employed scientists and lab technicians to help the facility run smoothly, but they were creatively stifled with so little to do. Poaching Amazon employees has turned out to be an improvement. “We pay them twice what they were getting at Amazon to do something way more fulfilling than stuffing toilet paper into boxes,” says Frezza. “You’re keeping someone’s drug-discovery experiment running at full speed.”

Further south in the San Francisco Bay Area are two more cloud labs, run by the company Strateos. Racks of gleaming life science instruments – incubators, mixers, mass spectrometers, PCR machines – sit humming inside large Perspex boxes known as workcells. The setup is arguably even more futuristic than at Emerald. Here, reagents and samples whizz to the correct workcell on hi-tech magnetic conveyor belts and are gently loaded into place by dextrous robot arms. Researchers’ experiments are “delocalised”, as Strateos’s executive director of operations, Marc Siladi, puts it…(More)”.

A journey toward an open data culture through transformation of shared data into a data resource


Paper by Scott D. Kahn and Anne Koralova: “The transition to open data practices is straightforward albeit surprisingly challenging to implement largely due to cultural and policy issues. A general data sharing framework is presented along with two case studies that highlight these challenges and offer practical solutions that can be adjusted depending on the type of data collected, the country in which the study is initiated, and the prevailing research culture. Embracing the constraints imposed by data privacy considerations, especially for biomedical data, must be emphasized for data outside of the United States until data privacy law(s) are established at the Federal and/or State level…(More).”

The Technology Fallacy


Book by Gerald C. Kane, Anh Nguyen Phillips, Jonathan R. Copulsky and Garth R. Andrus on “How People Are the Real Key to Digital Transformation:..

Digital technologies are disrupting organizations of every size and shape, leaving managers scrambling to find a technology fix that will help their organizations compete. This book offers managers and business leaders a guide for surviving digital disruptions—but it is not a book about technology. It is about the organizational changes required to harness the power of technology. The authors argue that digital disruption is primarily about people and that effective digital transformation involves changes to organizational dynamics and how work gets done. A focus only on selecting and implementing the right digital technologies is not likely to lead to success. The best way to respond to digital disruption is by changing the company culture to be more agile, risk tolerant, and experimental.

The authors draw on four years of research, conducted in partnership with MIT Sloan Management Review and Deloitte, surveying more than 16,000 people and conducting interviews with managers at such companies as Walmart, Google, and Salesforce. They introduce the concept of digital maturity—the ability to take advantage of opportunities offered by the new technology—and address the specifics of digital transformation, including cultivating a digital environment, enabling intentional collaboration, and fostering an experimental mindset. Every organization needs to understand its “digital DNA” in order to stop “doing digital” and start “being digital.”

Digital disruption won’t end anytime soon; the average worker will probably experience numerous waves of disruption during the course of a career. The insights offered by The Technology Fallacy will hold true through them all….(More)”.

Smart Streetlights are Casting a Long Shadow Over Our Cities


Article by Zhile Xie: “This is not a surveillance system—nobody is watching it 24 hours a day,” said Erik Caldwell, director of economic development in San Diego, in an interview where he was asked if the wide deployment of “smart” streetlights had turned San Diego into a surveillance city. Innocuous at first glance, this statement demonstrates the pernicious impact of artificial intelligence on new “smart” streetlight systems. As Caldwell suggests, a central human vision is important for the streetlight to function as a surveillance instrument. However, the lack of human supervision only suggests its enhanced capacity. Smart sensors are able to process and communicate environmental information that does not present itself in a visual format and does not rely on human interpretation. On the one hand, they reinforce streetlights’ function as a surveillance instrument, historically associated with light and visibility. On the other hand, in tandem with a wide range of sensors embedded in our everyday environment, they also enable for-profit data extraction on a vast scale,  under the auspices of a partnership between local governments and tech corporations. 

The streetlight was originally designed as a surveillance device and has been refined to that end ever since then. Its association with surveillance and security can be found as early as 400 BC. Citizens of Ancient Rome started to install an oil lamp in front of every villa to prevent tripping or thefts, and an enslaved person would be designated to watch the lamp—lighting was already paired with the notion of control through slavery. As Wolfgang Schivelbusch has detailed in his book Disenchanted Light, street lighting also emerged in medieval European cities alongside practices of policing. Only designated watchmen who carried a torch and a weapon were allowed to be out on the street. This ancient connection between security and visibility has been the basis of the wide deployment of streetlights in modern cities. Moreover, as Edwin Heathcote has explained in a recent article for the Architectural Review, gas streetlights were first introduced to Paris during Baron Haussmann’s restructuring of the city between 1853 and 1870, which was designed in part to prevent revolutionary uprisings. The invention of electric light bulbs in the late nineteenth century in Europe triggered new fears and imaginations around the use of streetlights for social control. For instance, in his 1894 dystopian novel The Land of the Changing Sun, W.N. Harben envisions an electric-optical device that makes possible 24-hour surveillance over the entire population of an isolated country, Alpha. The telescopic system is aided by an artificial “sun” that lights up the atmosphere all year round, along with networked observatories across the land that capture images of their surroundings, which are transmitted to a “throne room” for inspection by the king and police…(More)”.