Community Data Dialogues


Sunlight foundation: “Community Data Dialogues are in-person events designed to share open data with community members in the most digestible way possible to start a conversation about a specific issue. The main goal of the event is to give residents who may not have technical expertise but have local experience a chance to participate in data-informed decision-making. Doing this work in-person can open doors and let facilitators ask a broader range of questions. To achieve this, the event must be designed to be inclusive of people without a background in data analysis and/or using statistics to understand local issues. Carrying out this event will let decision-makers in government use open data to talk with residents who can add to data’s value with their stories of lived experience relevant to local issues.

These events can take several forms, and groups both in and outside of government have designed creative and innovative events tailored to engage community members who are actively interested in helping solve local issues but are unfamiliar with using open data. This guide will help clarify how exactly to make Community Data Dialogues non-technical, interactive events that are inclusive to all participants….

A number of groups both in and outside of government have facilitated accessible open data events to great success. Here are just a few examples from the field of what data-focused events tailored for a nontechnical audience can look like:

Data Days Cleveland

Data Days Cleveland is an annual one-day event designed to make data accessible to all. Programs are designed with inclusivity and learning in mind, making it a more welcoming space for people new to data work. Data experts and practitioners direct novices on the fundamentals of using data: making maps, reading spreadsheets, creating data visualizations, etc….

The Urban Institute’s Data Walks

The Urban Institute’s Data Walks are an innovative example of presenting data in an interactive and accessible way to communities. Data Walks are events gathering community residents, policymakers, and others to jointly review and analyze data presentations on specific programs or issues and collaborate to offer feedback based on their individual experiences and expertise. This feedback can be used to improve current projects and inform future policies….(More)“.

Great Policy Successes


Book by Mallory Compton and Edited by Paul ‘t Hart: “With so much media and political criticism of their shortcomings and failures, it is easy to overlook the fact that many governments work pretty well much of the time. Great Policy Successes turns the spotlight on instances of public policy that are remarkably successful. It develops a framework for identifying and assessing policy successes, paying attention not just to their programmatic outcomes but also to the quality of the processes by which policies are designed and delivered, the level of support and legitimacy they attain, and the extent to which successful performance endures over time. The bulk of the book is then devoted to 15 detailed case studies of striking policy successes from around the world, including Singapore’s public health system, Copenhagen and Melbourne’s rise from stilted backwaters to the highly liveable and dynamic urban centres they are today, Brazil’s Bolsa Familia poverty relief scheme, the US’s GI Bill, and Germany’s breakthrough labour market reforms of the 2000s. Each case is set in context, its main actors are introduced, key events and decisions are described, the assessment framework is applied to gauge the nature and level of its success, key contributing factors to success are identified, and potential lessons and future challenges are identified. Purposefully avoiding the kind of heavy theorizing that characterizes many accounts of public policy processes, each case is written in an accessible and narrative style ideally suited for classroom use in conjunction with mainstream textbooks on public policy design, implementation, and evaluation….(More)”.

The Algorithmic Divide and Equality in the Age of Artificial Intelligence


Paper by Peter Yu: “In the age of artificial intelligence, highly sophisticated algorithms have been deployed to detect patterns, optimize solutions, facilitate self-learning, and foster improvements in technological products and services. Notwithstanding these tremendous benefits, algorithms and intelligent machines do not provide equal benefits to all. Just as the digital divide has separated those with access to the Internet, information technology, and digital content from those without, an emerging and ever-widening algorithmic divide now threatens to take away the many political, social, economic, cultural, educational, and career opportunities provided by machine learning and artificial intelligence.

Although policymakers, commentators, and the mass media have paid growing attention to algorithmic bias and the shortcomings of machine learning and artificial intelligence, the algorithmic divide has yet to attract much policy and scholarly attention. To fill this lacuna, this article draws on the digital divide literature to systematically analyze this new inequitable gap between the technology haves and have-nots. Utilizing the analytical framework that the Author developed in the early 2000s, the article discusses the five attributes of the algorithmic divide: awareness, access, affordability, availability, and adaptability.

This article then turns to three major problems precipitated by an emerging and fast-expanding algorithmic divide: (1) algorithmic deprivation; (2) algorithmic discrimination; and (3) algorithmic distortion. While the first two problems affect primarily those on the unfortunate side of the algorithmic divide, the latter impacts individuals on both sides of the divide. This article concludes by proposing seven nonexhaustive clusters of remedial actions to help bridge this emerging and ever-widening algorithmic divide. Combining law, communications policy, ethical principles, institutional mechanisms, and business practices, the article fashions a holistic response to help foster equality in the age of artificial intelligence….(More)”.

Crowdsourcing Reliable Local Data


Paper by Jane Lawrence Sumner , Emily M. Farris and Mirya R. Holman: “The adage “All politics is local” in the United States is largely true. Of the United States’ 90,106 governments, 99.9% are local governments. Despite variations in institutional features, descriptive representation, and policy-making power, political scientists have been slow to take advantage of these variations. One obstacle is that comprehensive data on local politics is often extremely difficult to obtain; as a result, data is unavailable or costly, hard to replicate, and rarely updated. We provide an alternative: crowdsourcing this data. We demonstrate and validate crowdsourcing data on local politics using two different data collection projects. We evaluate different measures of consensus across coders and validate the crowd’s work against elite and professional datasets. In doing so, we show that crowdsourced data is both highly accurate and easy to use. In doing so, we demonstrate that nonexperts can be used to collect, validate, or update local data….(More)”.

How Nontraditional Innovation is Rejuvenating Public Housing


Blog by Jamal Gauthier: “The crisis of affordable public housing can be felt across America on a large scale. Many poor and impoverished families that reside in public housing projects are consistently unable to pay rent for their dwellings while dealing with a host of other social complications that make living in public housing even more difficult. Creating affordable public housing involves the use of innovative processes that reduce construction cost and maximize livable square footage so that rents can remain affordable. Through the rising popularity of nontraditional approaches to innovation, many organizations tasked with addressing these difficult housing challenges are adopting such methods to uncover previously unthought of solutions.

The concept of crowdsourcing especially is paving the way for federal agencies (such as HUD), nonprofits, and private housing companies alike to gain new perspectives and approaches to complex public housing topics from unlikely and/or underutilized sources. Crowdsourcing proponents and stakeholders hope to add fresh ideas and new insights to the shared pool of public knowledge, augmenting innovation and productivity in the current public housing landscape.

The federal government could particularly benefit from these nontraditional forms of innovation by implementing these practices into standard government processes. The struggling affordable public housing system in America, for example, points to a glaring flaw in standard government process that makes applying the best ideas for real-world implementation by the government virtually impossible….(More)”.

How does a computer ‘see’ gender?


Pew Research Center: “Machine vision tools like facial recognition are increasingly being used for law enforcement, advertising, and other purposes. Pew Research Center itself recently used a machine vision system to measure the prevalence of men and women in online image search results. This kind of system develops its own rules for identifying men and women after seeing thousands of example images, but these rules can be hard for to humans to discern. To better understand how this works, we showed images of the Center’s staff members to a trained machine vision system similar to the one we used to classify image searches. We then systematically obscured sections of each image to see which parts of the face caused the system to change its decision about the gender of the person pictured. Some of the results seemed intuitive, others baffling. In this interactive challenge, see if you can guess what makes the system change its decision.

Here’s how it works:…(More)”.

Traffic Data Is Good for More than Just Streets, Sidewalks


Skip Descant at Government Technology: “The availability of highly detailed daily traffic data is clearly an invaluable resource for traffic planners, but it can also help officials overseeing natural lands or public works understand how to better manage those facilities.

The Natural Communities Coalition, a conservation nonprofit in southern California, began working with the traffic analysis firm StreetLight Data in early 2018 to study the impacts from the thousands of annual visitors to 22 parks and natural lands. StreetLight Data’s use of de-identified cellphone data held promise for the project, which will continue into early 2020.

“You start to see these increases,” Milan Mitrovich, science director for the Natural Communities Coalition, said of the uptick in visitor activity the data showed. “So being able to have this information, and share it with our executive committee… these folks, they’re seeing it for the first time.”…

Officials with the Natural Communities Coalition were able to use the StreetLight data to gain insights into patterns of use not only per day, but at different times of the day. The data also told researchers where visitors were traveling from, a detail park officials found “jaw-dropping.”

“What we were able to see is, these resources, these natural areas, cast an incredible net across southern California,” said Mitrovich, noting visitors come from not only Orange County, but Los Angeles, San Bernardino and San Diego counties as well, a region of more than 20 million residents.

The data also allows officials to predict traffic levels during certain parts of the week, times of day or even holidays….(More)”.

The Future of Political Philosophy


Katrina Forrester in Boston Review: “Since the upheavals of the financial crisis of 2008 and the political turbulence of 2016, it has become clear to many that liberalism is, in some sense, failing. The turmoil has given pause to economists, some of whom responded by renewing their study of inequality, and to political scientists, who have since turned to problems of democracy, authoritarianism, and populism in droves. But Anglo-American liberal political philosophers have had less to say than they might have.

The silence is due in part to the nature of political philosophy today—the questions it considers worth asking and those it sidelines. Since Plato, philosophers have always asked about the nature of justice. But for the last five decades, political philosophy in the English-speaking world has been preoccupied with a particular answer to that question developed by the American philosopher John Rawls.

Rawls’s work in the mid-twentieth century ushered in a paradigm shift in political philosophy. In his wake, philosophers began exploring what justice and equality meant in the context of modern capitalist welfare states, using those concepts to describe, in impressive and painstaking detail, the ideal structure of a just society—one that turned out to closely resemble a version of postwar social democracy. Working within this framework, they have since elaborated a body of abstract moral principles that provide the philosophical backbone of modern liberalism. These ideas are designed to help us see what justice and equality demand—of our society, of our institutions, and of ourselves.

This is a story of triumph: Rawls’s philosophical project was a major success. It is not that political philosophers after Rawls didn’t disagree; fine-grained and heated arguments are what philosophers do best. But over the last few decades they built a robust consensus about the fundamental rules of the game, conceiving of themselves as engaged in a common intellectual project with a shared conceptual framework. The governing concepts and aims of political philosophy have, for generations, been more or less taken for granted.

But if modern political philosophy is bound up with modern liberalism, and liberalism is failing, it may well be time to ask whether these apparently timeless ideas outlived their usefulness….(More)”.

Examining Civic Engagement Links to Health


Findings from the Literature and Implications for a Culture of Health by the Rand Corporation: “The Robert Wood Johnson Foundation (RWJF) is leading a pioneering effort to advance a culture of health that “enables all in our diverse society to lead healthier lives, now and for generations to come.” The RWJF Culture of Health Action Framework is divided into four Action Areas, and civic engagement (which RWJF defines broadly as participating in activities that advance the public good) is identified as one of the three drivers for the Action Area, Making Health a Shared Value, along with mindset and expectations, and sense of community. Civic engagement can serve as a mechanism for translating changes in a health-related mindset and sense of community into tangible actions that could lead to new health-promoting partnerships, improvements in community health conditions, and the degree of integration among health services and systems for better health outcomes.

The authors of this report seek a closer focus on the causal relationship between civic engagement and health and well-being — that is, whether better health and well-being might promote more civic engagement, whether civic engagement might promote health or well-being, or perhaps both.

In this report, authors conduct a structured review to understand what the scientific literature presents about the empirical relationship between health and civic engagement. The authors specifically examine whether health is a cause of civic engagement, a consequence of it, or both; what causal mechanisms underlie this link; and where there are gaps in knowledge for the field….(More)”

The Upside of Deep Fakes


Paper by Jessica M. Silbey and Woodrow Hartzog: “It’s bad. We know. The dawn of “deep fakes” — convincing videos and images of people doing things they never did or said — puts us all in jeopardy in several different ways. Professors Bobby Chesney and Danielle Citron have noted that now “false claims — even preposterous ones — can be peddled with unprecedented success today thanks to a combination of social media ubiquity and virality, cognitive biases, filter bubbles, and group polarization.” The scholars identify a host of harms from deep fakes, ranging from people being exploited, extorted, and sabotaged, to societal harms like the erosion of democratic discourse and trust in social institutions, undermining public safety, national security, journalism, and diplomacy, deepening social divisions, and manipulation of elections. But it might not be all bad. Even beyond purported beneficial uses of deep-fake technology for education, art, and science, the looming deep-fake disaster might have a silver lining. Hear us out. We think deep fakes have an upside.

Crucial to our argument is the idea that deep fakes don’t create new problems so much as make existing problems worse. Cracks in systems, frameworks, strategies, and institutions that have been leaking for years now threaten to spring open. Journalism, education, individual rights, democratic systems, and voting protocols have long been vulnerable. Deep fakes might just be the straw that breaks them. And therein lies opportunity for repair. Below we briefly address some deep problems and how finally addressing them may also neutralize the destructive force of deep fakes. We only describe three cultural institutions – education, journalism, and representative democracy — with deep problems that could be strengthened as a response to deep fakes for greater societal gains. But we encourage readers to think up more. We have a hunch that once we harness the upside of deep fakes, we may unlock creative solutions to other sticky social and political problems…(More)”.