Book by Steven Levitsky and Daniel Ziblatt: “America is undergoing a massive experiment: It is moving, in fits and starts, toward a multiracial democracy, something few societies have ever done. But the prospect of change has sparked an authoritarian backlash that threatens the very foundations of our political system. Why is democracy under assault here, and not in other wealthy, diversifying nations? And what can we do to save it?
With the clarity and brilliance that made their first book, How Democracies Die, a global bestseller, Harvard professors Steven Levitsky and Daniel Ziblatt offer a coherent framework for understanding these volatile times. They draw on a wealth of examples—from 1930s France to present-day Thailand—to explain why and how political parties turn against democracy. They then show how our Constitution makes us uniquely vulnerable to attacks from within: It is a pernicious enabler of minority rule, allowing partisan minorities to consistently thwart and even rule over popular majorities. Most modern democracies—from Germany and Sweden to Argentina and New Zealand—have eliminated outdated institutions like elite upper chambers, indirect elections, and lifetime tenure for judges. The United States lags dangerously behind.
In this revelatory book, Levitsky and Ziblatt issue an urgent call to reform our politics. It’s a daunting task, but we have remade our country before—most notably, after the Civil War and during the Progressive Era. And now we are at a crossroads: America will either become a multiracial democracy or cease to be a democracy at all…(More)”.
Public Sector Use of Private Sector Personal Data: Towards Best Practices
Paper by Teresa Scassa: “Governments increasingly turn to the private sector as a source of data for various purposes. In some cases, the data that they seek to use is personal data. The public sector use of private sector personal data raises several important law and public policy concerns. These include the legal authority for such uses; privacy and data protection; ethics; transparency; and human rights. Governments that use private sector personal data without attending to the issues that such use raises may breach existing laws, which in some cases may not be well-adapted to evolving data practices. They also risk undermining public trust.
This paper uses two quite different recent examples from Canada where the use of private sector personal data by public sector actors caused considerable backlash and led to public hearings and complaints to the Privacy Commissioner. The examples are used to tease out the complex and interwoven law and policy issues. In some cases, the examples reveal issues that are particular to the evolving data society and that are not well addressed by current law or practice. The paper identifies key issues and important gaps and makes recommendations to address these. Although the examples discussed are Canadian and depend to some extent on Canadian law and institutions, the practices at issue are ones that are increasingly used around the world, and many of the issues raised are broadly relevant…(More)”.
Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril
Special Publication by the National Academy of Medicine (NAM): “The emergence of artificial intelligence (AI) in health care offers unprecedented opportunities to improve patient and clinical team outcomes, reduce costs, and impact population health. While there have been a number of promising examples of AI applications in health care, it is imperative to proceed with caution or risk the potential of user disillusionment, another AI winter, or further exacerbation of existing health- and technology-driven disparities.
This Special Publication synthesizes current knowledge to offer a reference document for relevant health care stakeholders. It outlines the current and near-term AI solutions; highlights the challenges, limitations, and best practices for AI development, adoption, and maintenance; offers an overview of the legal and regulatory landscape for AI tools designed for health care application; prioritizes the need for equity, inclusion, and a human rights lens for this work; and outlines key considerations for moving forward.
AI is poised to make transformative and disruptive advances in health care, but it is prudent to balance the need for thoughtful, inclusive health care AI that plans for and actively manages and reduces potential unintended consequences, while not yielding to marketing hype and profit motives…(More)”
Changing Facebook’s algorithm won’t fix polarization, new study finds
Article by Naomi Nix, Carolyn Y. Johnson, and Cat Zakrzewski: “For years, regulators and activists have worried that social media companies’ algorithms were dividing the United States with politically toxic posts and conspiracies. The concern was so widespread that in 2020, Meta flung open troves of internal data for university academics to study how Facebook and Instagram would affect the upcoming presidential election.
The first results of that research show that the company’s platforms play a critical role in funneling users to partisan information with which they are likely to agree. But the results cast doubt on assumptions that the strategies Meta could use to discourage virality and engagement on its social networks would substantially affect people’s political beliefs.
“Algorithms are extremely influential in terms of what people see on the platform, and in terms of shaping their on-platform experience,” Joshua Tucker, co-director of the Center for Social Media and Politics at New York University and one of the leaders on the research project, said in an interview.
“Despite the fact that we find this big impact in people’s on-platform experience, we find very little impact in changes to people’s attitudes about politics and even people’s self-reported participation around politics.”
The first four studies, which were released on Thursday in the journals Science and Nature, are the result of a unique partnership between university researchers and Meta’s own analysts to study how social media affects political polarization and people’s understanding and opinions about news, government and democracy. The researchers, who relied on Meta for data and the ability to run experiments, analyzed those issues during the run-up to the 2020 election. The studies were peer-reviewed before publication, a standard procedure in science in which papers are sent out to other experts in the field who assess the work’s merit.
As part of the project, researchers altered the feeds of thousands of people using Facebook and Instagram in fall of 2020 to see if that could change political beliefs, knowledge or polarization by exposing them to different information than they might normally have received. The researchers generally concluded that such changes had little impact.
The collaboration, which is expected to be released over a dozen studies, also will examine data collected after the Jan. 6, 2021, attack on the U.S. Capitol, Tucker said…(More)”.
Interested but Uncertain: Carbon Markets and Data Sharing among U.S. Crop Farmers
Paper by Guang Han and Meredith T. Niles: “The potential for farmers and agriculture to sequester carbon and contribute to global climate change goals is widely discussed. However, there is currently low participation in agricultural carbon markets and a limited understanding of farmer perceptions and willingness to participate. Furthermore, farmers’ concerns regarding data privacy may complicate participation in agricultural carbon markets, which necessitates farmer data sharing with multiple entities. This study aims to address research gaps by assessing farmers’ willingness to participate in agricultural carbon markets, identifying the determinants of farmers’ willingness regarding carbon markets participation, and exploring how farmers’ concerns for data privacy relate to potential participation in agricultural carbon markets. Data were collected through a multistate survey of 246 farmers and analyzed using descriptive statistics, factor analysis, and multinomial regression models. We find that the majority of farmers (71.8%) are aware of carbon markets and would like to sell carbon credits, but they express high uncertainty about carbon market information, policies, markets, and cost impacts. Just over half of farmers indicated they would share their data for education, developing tools and models, and improving markets and supply chains. Farmers who wanted to participate in carbon markets were more likely to have higher farm revenues, more likely to share their data overall, more likely to share their data with private organizations, and more likely to change farming practices and had more positive perceptions of the impact of carbon markets on farm profitability. In conclusion, farmers have a general interest in carbon market participation, but more information is needed to address their uncertainties and concerns…(More)”.
Journalism Is a Public Good and Should Be Publicly Funded
Essay by Patrick Walters: “News deserts” have proliferated across the U.S. Half of the nation’s more than 3,140 counties now have only one newspaper—and nearly 200 of them have no paper at all. Of the publications that survive, researchers have found many are “ghosts” of their former selves.
Journalism has problems nationally: CNN announced hundreds of layoffs at the end of 2022, and National Geographic laid off the last of its staff writers this June. In the latter month the Los Angeles Times cut 13 percent of its newsroom staff. But the crisis is even more acute at the local level, with jobs in local news plunging from 71,000 in 2008 to 31,000 in 2020. Closures and cutbacks often leave people without reliable sources that can provide them with what the American Press Institute has described as “the information they need to make the best possible decisions about their daily lives.”
Americans need to understand that journalism is a vital public good—one that, like roads, bridges and schools, is worthy of taxpayer support. We are already seeing the disastrous effects of otherwise allowing news to disintegrate in the free market: namely, a steady supply of misinformation, often masquerading as legitimate news, and too many communities left without a quality source of local news. Former New York Times public editor Margaret Sullivan has a called this a “crisis of American democracy.”
The terms “crisis” and “collapse” have become nearly ubiquitous in the past decade when describing the state of American journalism, which has been based on a for-profit commercial model since the rise of the “penny press” in the 1830s. Now that commercial model has collapsed amid the near disappearance of print advertising. Digital ads have not come close to closing the gap because Google and other platforms have “hoovered up everything,” as Emily Bell, founding director of the Tow Center for Journalism at Columbia University, told the Nieman Journalism Lab in a 2018 interview. In June the newspaper chain Gannett sued Google’s parent company, alleging it has created an advertising monopoly that has devastated the news industry.
Other journalism models—including nonprofits such as MinnPost, collaborative efforts such Broke in Philly and citizen journalism—have had some success in fulfilling what Lewis Friedland of the University of Wisconsin–Madison called “critical community information needs” in a chapter of the 2016 book The Communication Crisis in America, and How to Fix It. Friedland classified those needs as falling in eight areas: emergencies and risks, health and welfare, education, transportation, economic opportunities, the environment, civic information and political information. Nevertheless, these models have proven incapable of fully filling the void, as shown by the dearth of quality information during the early years of the COVID pandemic. Scholar Michelle Ferrier and others have worked to bring attention to how news deserts leave many rural and urban areas “impoverished by the lack of fresh, daily local news and information,” as Ferrier wrote in a 2018 article. A recent study also found evidence that U.S. judicial districts with lower newspaper circulation were likely to see fewer public corruption prosecutions.
A growing chorus of voices is now calling for government-funded journalism, a model that many in the profession have long seen as problematic…(More)”.
Innovation Can Reboot American Democracy
Blog by Suzette Brooks Masters: “A thriving multiracial pluralist democracy is an aspiration that many people share for America. Far from being inevitable, the path to such a future is uncertain.
To stretch how we think about American democracy’s future iterations and begin to imagine the contours of the new, we need to learn from what’s emergent. So I’m going to take you on a whirlwind tour of some experiments taking place here and abroad that are the bright spots illuminating possible futures ahead.
My comments are informed by a research report I wrote last year called Imagining Better Futures for American Democracy. I interviewed dozens of visionaries in a range of fields and with diverse perspectives about the future of our democracy and the role positive visioning and futures thinking could play in reinvigorating it.
As I discuss these bright spots, I want to emphasize that what is most certain now is the accelerating and destabilizing change we are experiencing. It’s critical therefore to develop systems, institutions, norms and mindsets to navigate that change boldly and responsibly, not pretend that tomorrow will continue to look like today.
Yet when paradigms shift, as they inevitably do and I would argue are right now, that’s a messy and confusing time that can cause lots of anxiety and disorientation. During these critical periods of transition, we must set aside or ‘hospice” some assumptions, mindsets, practices, and institutions, while midwifing, or welcoming in, new ones.
This is difficult to do in the best of times but can be especially so when, collectively, we suffer from a lack of imagination and vision about what American democracy could and should become.
It’s not all our fault — inertia, fear, distrust, cynicism, diagnosis paralysis, polarization, exceptionalism, parochialism, and a pervasive, dystopian media environment are dragging us down. They create very strong headwinds weakening both our appetite and our ability to dream bigger and imagine better futures ahead.
However, focusing on and amplifying promising innovations can change that dysfunctional dynamic by inspiring us and providing blueprints to act upon when the time is right.
Below I discuss two main types of innovations in the political sphere: election-related structural reforms and governance reforms, including new forms of civic engagement and government decision-making…(More)”.
The Eyewitness Community Survey: An Engaging Citizen Science Tool to Capture Reliable Data while Improving Community Participants’ Environmental Health Knowledge and Attitudes
Paper by Melinda Butsch Kovacic: “Many youths and young adults have variable environmental health knowledge, limited understanding of their local environment’s impact on their health, and poor environmentally friendly behaviors. We sought to develop and test a tool to reliably capture data, increase environmental health knowledge, and engage youths as citizen scientists to examine and take action on their community’s challenges. The Eyewitness Community Survey (ECS) was developed through several iterations of co-design. Herein, we tested its performance. In Phase I, seven youths audited five 360° photographs. In Phase II, 27 participants works as pairs/trios and audited five locations, typically 7 days apart. Inter-rater and intra-rater reliability were determined. Changes in participants’ knowledge, attitudes, behaviors, and self-efficacy were surveyed. Feedback was obtained via focus groups. Intra-rater reliability was in the substantial/near-perfect range, with Phase II having greater consistency. Inter-rater reliability was high, with 42% and 63% of Phase I and II Kappa, respectively, in the substantial/near-perfect range. Knowledge scores improved after making observations (p ≤ 0.032). Participants (85%) reported the tool to be easy/very easy to use, with 70% willing to use it again. Thus, the ECS is a mutually beneficial citizen science tool that rigorously captures environmental data and provides engaging experiential learning opportunities…(More)”.
Leveraging Social Media Data for Emergency Preparedness and Response
Report by the National Academies of Sciences, Engineering, and Medicine: “Most state departments of transportation (DOTs) use social media to broadcast information and monitor emergencies, but few rely heavily on social media data. The most common barriers to using social media for emergencies are personnel availability and training, privacy issues, and data reliability.
NCHRP Synthesis 610: Leveraging Social Media Data for Emergency Preparedness and Response, from TRB’s National Cooperative Highway Research Program, documents state DOT practices that leverage social media data for emergency preparedness, response, and recovery…(More)”.
How Statisticians Should Grapple with Privacy in a Changing Data Landscape
Article by Joshua Snoke, and Claire McKay Bowen: “Suppose you had a data set that contained records of individuals, including demographics such as their age, sex, and race. Suppose also that these data contained additional in-depth personal information, such as financial records, health status, or political opinions. Finally, suppose that you wanted to glean relevant insights from these data using machine learning, causal inference, or survey sampling adjustments. What methods would you use? What best practices would you ensure you followed? Where would you seek information to help guide you in this process?…(More)”