Paper by Kenneth R. Ahern: “Compared to the federal government, the average citizen in the U.S. has far greater interaction with city governments, including policing, health services, zoning laws, utilities, schooling, and transportation. At the regional level, it is city governments that provide the infrastructure and services that facilitate agglomeration economies in urban areas. However, there is relatively little empirical evidence on the operations of city governments as economic entities. To overcome deficiencies in traditional datasets, this paper amasses a novel, hand-collected dataset on city government finances to describe the functions, expenses, and revenues of the largest 39 cities in the United States from 2003 to 2018. First, city governments are large, with average revenues equivalent to the 78th percentile of U.S. publicly traded firms. Second, cities collect an increasingly large fraction of revenues through direct user fees, rather than taxes. By 2018, total charges for services equal tax revenue in the median city. Third, controlling for city fixed effects, population, and personal income, large city governments shrunk by 15% between 2009 and 2018. Finally, the growth rate of city expenses is more sensitive to population growth, while the growth rate of city revenues is more sensitive to income. These sensitivities lead smaller, poorer cities’ expenses to grow faster than their revenues….(More)”.
To Map Billions of Cicadas, It Takes Thousands of Citizen Scientists
Article by Linda Poon and Marie Patino: “At the end of May, Dan Mozgai will spend his vacation from his day job chasing cicadas. The bugs won’t be hard to find; in about a week, billions of the beady-eyed crawlers from Brood X will start coming up from their 17-year-long underground, blanketing parts of 15 states in the Northeast, Mid-Atlantic and Midwest with their cacophony of shrill mating calls.
Mozgai isn’t an entomologist — he does online marketing for DirecTV. But since2007, he’s worked closely with academic researchers to track various broods of periodical cicadas,as part of one of the oldest citizen science efforts in the U.S.
He’ll be joined by ten of thousands of other volunteers across the Brood X territory who will use the mobile app Cicada Safari, where userscan add geotagged photos and videos onto a live map, as dozens of student researchers behind the scenes verify each submission. Videos will be especially helpful this year, as it provides audio data for the researchers, says Gene Kritsky, an entomologist at Mount St. Joseph University in Cincinnati, and the creator behind Cicada Safari. He’s been testing the new app with smaller broods for two years in anticipation for this moment. https://0b26ee1773bac5736a29111147e28a6b.safeframe.googlesyndication.com/safeframe/1-0-38/html/container.html
Brood X, is one of the largest, and mostly broadly distributed geographically, of periodical cicadas, which emerge every 13 or 17 years. They’ll stick around for just a few weeks, through June, to mate and lay eggs.
“With the smartphone technology and the GPS location services, it was just a perfect way to do citizen science,” Kritsky says. Some 87,000 people have signed up as of the beginning of May, and they’ve already documented several early risers, especially around Cincinnati and Washington, D.C. — two of the expected hotspot…(More)”.
The Filing Cabinet
Essay by Craig Robertson: “The filing cabinet was critical to the information infrastructure of the 20th-century. Like most infrastructure, it was usually overlooked….The subject of this essay emerged by chance. I was researching the history of the U.S. passport, and had spent weeks at the National Archives, struggling through thousands of reels of unindexed microfilm records of 19th-century diplomatic correspondence; then I arrived at the records for 1906. That year, the State Department adopted a numerical filing system. Suddenly, every American diplomatic office began using the same number for passport correspondence, with decimal numbers subdividing issues and cases. Rather than scrolling through microfilm images of bound pages organized chronologically, I could go straight to passport-relevant information that had been gathered in one place.
I soon discovered that I had Elihu Root to thank for making my research easier. A lawyer whose clients included Andrew Carnegie, Root became secretary of state in 1905. But not long after he arrived, the prominent corporate lawyer described himself as “a man trying to conduct the business of a large metropolitan law-firm in the office of a village squire.” The department’s record-keeping practices contributed to his frustration. As was then common in American offices, clerks used press books or copybooks to store incoming and outgoing correspondence in chronologically ordered bound volumes with limited indexing. For Root, the breaking point came when a request for a handful of letters resulted in several bulky volumes appearing on his desk. His response was swift: he demanded that a vertical filing system be adopted; soon the department was using a numerical subject-based filing system housed in filing cabinets.
The shift from bound volumes to filing systems is a milestone in the history of classification; the contemporaneous shift to vertical filing cabinets is a milestone in the history of storage….(More)”.
How to get people to talk to one another again? Citizens’ assemblies
Interview with Jane Mansbridge, Adams Professor of Political Leadership and Democratic Values Emerita at the Harvard Kennedy School, is the author of “Beyond Adversary Democracy.” Her current work revolves around representation, democratic deliberation, and everyday activism:
GAZETTE: How might we get citizens who are so polarized to listen to one another?
MANSBRIDGE: One proven practice is the technique of citizens’ assemblies or deliberative polls. These are groups of citizens drawn randomly, through a democratic lottery, from a particular population. It could be an entire country, a state, a city, or even a neighborhood, from which you bring together a group of citizens to talk about an issue that is of concern to their community. For this technique to be successful, the group has to be random, meaning that you have to have good representation from everyone, not just the white retirees who don’t have much to do and would love to come to this sort of thing. To get a random group, you ought to able to pay the participants because you want to be able to get the poor, the less educated, and people who, for one reason or another, would not give up a weekend otherwise to come together with other citizens to deliberate about some major issue.
GAZETTE: How do we know these assemblies foster civil dialogue?
MANSBRIDGE: Let’s take the deliberative polling organized by the Center for Deliberative Democracy at Stanford that I’ve worked with, in informal ways, for a couple of decades. If you look at those gatherings, one important way to get citizens to listen to one another comes from their design, in which they alternate small groups of 12 or so people, randomly drawn from the random selection, with larger assemblies, in which the citizens ask questions to experts. One of the tasks they have in their small group is not only to deliberate about the issues, but to design questions they want to ask the experts. As it happens, the project of asking a common question becomes a task that binds citizens together across the lines of difference….(More)”
‘Belonging Is Stronger Than Facts’: The Age of Misinformation
Max Fisher at the New York Times: “There’s a decent chance you’ve had at least one of these rumors, all false, relayed to you as fact recently: that President Biden plans to force Americans to eat less meat; that Virginia is eliminating advanced math in schools to advance racial equality; and that border officials are mass-purchasing copies of Vice President Kamala Harris’s book to hand out to refugee children.
All were amplified by partisan actors. But you’re just as likely, if not more so, to have heard it relayed from someone you know. And you may have noticed that these cycles of falsehood-fueled outrage keep recurring.
We are in an era of endemic misinformation — and outright disinformation. Plenty of bad actors are helping the trend along. But the real drivers, some experts believe, are social and psychological forces that make people prone to sharing and believing misinformation in the first place. And those forces are on the rise.
“Why are misperceptions about contentious issues in politics and science seemingly so persistent and difficult to correct?” Brendan Nyhan, a Dartmouth College political scientist, posed in a new paper in Proceedings of the National Academy of Sciences.
It’s not for want of good information, which is ubiquitous. Exposure to good information does not reliably instill accurate beliefs anyway. Rather, Dr. Nyhan writes, a growing body of evidence suggests that the ultimate culprits are “cognitive and memory limitations, directional motivations to defend or support some group identity or existing belief, and messages from other people and political elites.”
Put more simply, people become more prone to misinformation when three things happen. First, and perhaps most important, is when conditions in society make people feel a greater need for what social scientists call ingrouping — a belief that their social identity is a source of strength and superiority, and that other groups can be blamed for their problems.
As much as we like to think of ourselves as rational beings who put truth-seeking above all else, we are social animals wired for survival. In times of perceived conflict or social change, we seek security in groups. And that makes us eager to consume information, true or not, that lets us see the world as a conflict putting our righteous ingroup against a nefarious outgroup….(More)”.
People Count: Contact-Tracing Apps and Public Health
Book by Susan Landau: “An introduction to the technology of contact tracing and its usefulness for public health, considering questions of efficacy, equity, and privacy.
How do you stop a pandemic before a vaccine arrives? Contact tracing is key, the first step in a process that has proven effective: trace, test, and isolate. Smartphones can collect some of the information required by contact tracers—not just where you’ve been but also who’s been near you. Can we repurpose the tracking technology that we carry with us—devices with GPS, Wi-Fi, Bluetooth, and social media connectivity—to serve public health in a pandemic? In People Count, cybersecurity expert Susan Landau looks at some of the apps developed for contact tracing during the COVID-19 pandemic, finding that issues of effectiveness and equity intersect.
Landau explains the effectiveness (or ineffectiveness) of a range of technological interventions, including dongles in Singapore that collect proximity information; India’s biometric national identity system; Harvard University’s experiment, TraceFi; and China’s surveillance network. Other nations rejected China-style surveillance in favor of systems based on Bluetooth, GPS, and cell towers, but Landau explains the limitations of these technologies. She also reports that many current apps appear to be premised on a model of middle-class income and a job that can be done remotely. How can they be effective when low-income communities and front-line workers are the ones who are hit hardest by the virus? COVID-19 will not be our last pandemic; we need to get this essential method of infection control right….(More)”.
Who is “Public” Data Really For?
Jer Thorp at Literary Hub: “Public” is a word that has, in the last decade, become bound tightly to data. Loosely defined, any data that is available in the public domain falls into this category, but the term is most often used to describe data that might serve some kind of civic purpose: census data or environmental data or health data, along with transparency-focused data like government budgets and reports. Often sidled up to “public” is the word “open.” Although the Venn diagram between the two words has ample overlap (public data is often open, and vice versa), the word “open” typically refers to if and how the data is accessible, rather than toward what ends it might be put to use.
Both words—“public” and “open”—invite a question: For whom? Despite the efforts of Mae and Gareth, and Tom Grundner and many others, the internet as it exists is hardly a public space. Many people still find themselves excluded from full participation. Access to anything posted on a city web page or on a .gov domain is restricted by barriers of cost and technical ability. Getting this data can be particularly hard for communities that are already marginalized, and both barriers—financial and technical—can be nearly impassable in places with limited resources and literacies.
Data.gov, the United States’ “open data portal,” lists nearly 250,000 data sets, an apparent bounty of free information. Spend some time on data.gov and other portals, though, and you’ll find out that public data as it exists is messy and often confusing. Many hosted “data sets” are links to URLs that are no longer active. Trying to access data about Native American communities from the American Community Survey on data.gov brought me first to a census site with an unlabeled list of file folders. Downloading a zip file and unpacking it resulted in 64,086 cryptically named text files each containing zero kilobytes of data. As someone who has spent much of the last decade working with these kinds of data, I can tell you that this is not an uncommon experience. All too often, working with public data feels like assembling particularly complicated Ikea furniture with no tools, no instructions, and an unknown number of missing pieces.
Today’s public data serves a particular type of person and a specific type of purpose. Mostly, it supports technically adept entrepreneurs. Civic data initiatives haven’t been shy about this; on data.gov’s impact page you’ll find a kind of hall-of-fame list of companies that are “public data success stories”: Kayak, Trulia, Foursquare, LinkedIn, Realtor.com, Zillow, Zocdoc, AccuWeather, Carfax. All of these corporations have, in some fashion, built profit models around public data, often charging for access to the very information that the state touts as “accessible, discoverable, and usable.”…(More)”.
Why Aren’t Text Message Interventions Designed to Boost College Success Working at Scale?
Article by Ben Castleman: “I like to think of it as my Mark Zuckerberg moment: I was a graduate student and it was a sweltering summer evening in Cambridge. Text messages were slated to go out to recent high school graduates in Massachusetts and Texas. Knowing that thousands of phones would soon start chirping and vibrating with information about college, I refreshed my screen every 30 seconds, waiting to see engagement statistics on how students would respond. Within a few minutes there were dozens of new responses from students wanting to connect with an advisor to discuss their college plans.
We’re approaching the tenth anniversary of that first text-based advising campaign to reduce summer melt—when students have been accepted to and plan to attend college upon graduating high school, but do not start college in the fall. The now-ubiquity of businesses sending texts makes it hard to remember how innovative texting as a channel was; back in the early 2010s, text was primarily used for social and conversational communication. Maybe the occasional doctor’s office or airline would send a text reminder, but SMS was not broadly used as a channel by schools or colleges.
Those novel text nudges appeared successful. Results from a randomized controlled trial (RCT) that I conducted with Lindsay Page showed that students who received the texts reminding them of pre-enrollment tasks and connecting them with advisors enrolled in college at higher rates. We had the opportunity to replicate our summer melt work two summers later in additional cities and with engagement from the White House Social and Behavioral Sciences team and found similar impacts.
This evidence emerged as the Obama administration made higher ed policy a greater focus in the second term, with a particular emphasis on expanding college opportunity for underrepresented students. Similar text campaigns expanded rapidly and broadly—most notably former First Lady Michelle Obama’s Up Next campaign—in part because they check numerous boxes for policymakers and funders: Texts are inexpensive to send; text campaigns are relatively easy to implement; and there was evidence of their effectiveness at expanding college access….(More)”.
Bridging the digital divide for underserved communities
Report by Deloitte: “…This “digital divide” was first noted more than 25 years ago as consumer communications needs shifted from landline voice to internet access. The economics of broadband spawned availability, adoption, and affordability disparities between rural and urban geographies and between lower- and higher-income segments. Today, the digital divide still presents a significant gap after more than $100 billion of infrastructure investment has been allocated by the US government over the past decade to address this issue. The current debate regarding additional funds for broadband deployment implies that further examination is warranted regarding how to get to broadband for all and achieve the resulting economic prosperity.
Quantifying the economic impact of bridging the digital divide clearly shows the criticality of broadband infrastructure to the US economy. Deloitte developed economic models to evaluate the relationship between broadband and economic growth. Our models indicate that a 10-percentage-point increase of broadband penetration in 2016 would have resulted in more than 806,000 additional jobs in 2019, or an average annual increase of 269,000 jobs. Moreover, we found a strong correlation between broadband availability and jobs and GDP growth. A 10-percentage-point increase of broadband access in 2014 would have resulted in more than 875,000 additional US jobs and $186B more in economic output in 2019. The analysis also showed that higher broadband speeds drive noticeable improvements in job growth, albeit with diminishing returns. As an example, the gain in jobs from 50 to 100 Mbps is more than the gain in jobs from 100 to 150 Mbps….(More)”.
Artificial intelligence (AI) has become one of the most impactful technologies of the twenty-first century
Lynne Parker at the AI.gov website: “Artificial intelligence (AI) has become one of the most impactful technologies of the twenty-first century. Nearly every sector of the economy and society has been affected by the capabilities and potential of AI. AI is enabling farmers to grow food more efficiently, medical researchers to better understand and treat COVID-19, scientists to develop new materials, transportation professionals to deliver more goods faster and with less energy, weather forecasters to more accurately predict the tracks of hurricanes, and national security protectors to better defend our Nation.
At the same time, AI has raised important societal concerns. What is the impact of AI on the changing nature of work? How can we ensure that AI is used appropriately, and does not result in unfair discrimination or bias? How can we guard against uses of AI that infringe upon human rights and democratic principles?
These dual perspectives on AI have led to the concept of “trustworthy AI”. Trustworthy AI is AI that is designed, developed, and used in a manner that is lawful, fair, unbiased, accurate, reliable, effective, safe, secure, resilient, understandable, and with processes in place to regularly monitor and evaluate the AI system’s performance and outcomes.
Achieving trustworthy AI requires an all-of-government and all-of-Nation approach, combining the efforts of industry, academia, government, and civil society. The Federal government is doing its part through a national strategy, called the National AI Initiative Act of 2020 (NAIIA). The National AI Initiative (NAII) builds upon several years of impactful AI policy actions, many of which were outcomes from EO 13859 on Maintaining American Leadership in AI.
Six key pillars define the Nation’s AI strategy:
- prioritizing AI research and development;
- strengthening AI research infrastructure;
- advancing trustworthy AI through technical standards and governance;
- training an AI-ready workforce;
- promoting international AI engagement; and
- leveraging trustworthy AI for government and national security.
Coordinating all of these efforts is the National AI Initiative Office, which is legislated by the NAIIA to coordinate and support the NAII. This Office serves as the central point of contact for exchanging technical and programmatic information on AI activities at Federal departments and agencies, as well as related Initiative activities in industry, academia, nonprofit organizations, professional societies, State and tribal governments, and others.
The AI.gov website provides a portal for exploring in more depth the many AI actions, initiatives, strategies, programs, reports, and related efforts across the Federal government. It serves as a resource for those who want to learn more about how to take full advantage of the opportunities of AI, and to learn how the Federal government is advancing the design, development, and use of trustworthy AI….(More)”