Surveilling Alone


Essay by Christine Rosen: “When Jane Jacobs, author of the 1961 classic The Death and Life of Great American Cities, outlined the qualities of successful neighborhoods, she included “eyes on the street,” or, as she described this, the “eyes belonging to those we might call the natural proprietors of the street,” including shopkeepers and residents going about their daily routines. Not every neighborhood enjoyed the benefit of this informal sense of community, of course, but it was widely seen to be desirable. What Jacobs understood is that the combined impact of many local people practicing normal levels of awareness in their neighborhoods on any given day is surprisingly effective for community-building, with the added benefit of building trust and deterring crime.

Jacobs’s championing of these “natural proprietors of the street” was a response to a mid-century concern that aggressive city planning would eradicate the vibrant experience of neighborhoods like her own, the Village in New York City. Jacobs famously took on “master planner” Robert Moses after he proposed building an expressway through Lower Manhattan, a scheme that, had it succeeded, would have destroyed Washington Square Park and the Village, and turned neighborhoods around SoHo into highway underpasses. For Jacobs and her fellow citizen activists, the efficiency of the proposed highway was not enough to justify eliminating bustling sidewalks and streets, where people played a crucial role in maintaining the health and order of their communities.

Today, a different form of efficient design is eliminating “eyes on the street” — by replacing them with technological ones. The proliferation of neighborhood surveillance technologies such as Ring cameras and digital neighborhood-watch platforms and apps such as Nextdoor and Citizen have freed us from the constraints of having to be physically present to monitor our homes and streets. Jacobs’s “eyes on the street” are now cameras on many homes, and the everyday interactions between neighbors and strangers are now a network of cameras and platforms that promise to put “neighborhood security in your hands,” as the Ring Neighbors app puts it.

Inside our homes, we monitor ourselves and our family members with equal zeal, making use of video baby monitors, GPS-tracking software for children’s smartphones (or for covert surveillance by a suspicious spouse), and “smart” speakers that are always listening and often recording when they shouldn’t. A new generation of domestic robots, such as Amazon’s Astro, combines several of these features into a roving service-machine always at your beck and call around the house and ever watchful of its security when you are away…(More)”.

Data Must Speak: Positive Deviance Research


Report by UNICEF: “Despite the global learning crisis, even in the most difficult contexts, there are some “positive deviant” schools that outperform others in terms of learning, gender equality, and retention. Since 2019, in line with UNICEF’s Foundational Literacy and Numeracy Programme, Data Must Speak (DMS) research identifies these positive deviant schools, explores which behaviours and practices make them outperform others, and investigates how these could be implemented in lower performing schools in similar contexts. DMS research uses a sequential, participatory, mixed-methods approach to improve uptake, replicability, and sustainability. The research is being undertaken in 14 countries across Africa, Asia, and Latin America…(More)”.

The 5 Stages of Data Must Speak Research

Forced to Change: Tech Giants Bow to Global Onslaught of Rules


Article by Adam Satariano, and David McCabe: “By Thursday, Google will have changed how it displays certain search results. Microsoft will no longer force Windows customers to use its Bing internet search tool. And Apple will give iPhone and iPad users access to rival app stores and payment systems for the first time.

The tech giants have been preparing ahead of a Wednesday deadline to comply with a new European Union law intended to increase competition in the digital economy. The law, called the Digital Markets Act, requires the biggest tech companies to overhaul how some of their products work so smaller rivals can gain more access to their users.

Those changes are some of the most visible shifts that Microsoft, Apple, Google, Meta and others are making in response to a wave of new regulations and laws around the world. In the United States, some of the tech behemoths have said they will abandon practices that are the subject of federal antitrust investigations. Apple, for one, is making it easier for Android users to interact with its iMessage product, a topic that the Justice Department has been investigating.

“This is a turning point,” said Margrethe Vestager, the European Commission executive vice president in Brussels, who spent much of the past decade battling with tech giants. “Self-regulation is over.”

For decades, Apple, Amazon, Google, Microsoft and Meta barreled forward with few rules and limits. As their power, riches and reach grew, a groundswell of regulatory activity, lawmaking and legal cases sprang up against them in Europe, the United States, China, India, Canada, South Korea and Australia. Now that global tipping point for reining in the largest tech companies has finally tipped.

The companies have been forced to alter the everyday technology they offer, including devices and features of their social media services, which have been especially noticeable to users in Europe. The firms are also making consequential shifts that are less visible, to their business models, deal making and data-sharing practices, for example.

The degree of change is evident at Apple. While the Silicon Valley company once offered its App Store as a unified marketplace around the world, it now has different rules for App Store developers in South Korea, the European Union and the United States because of new laws and court rulings. The company dropped the proprietary design of an iPhone charger because of another E.U. law, meaning future iPhones will have a charger that works with non-Apple devices…(More)”.

Why Do Universities Ignore Good Ideas?


Article by Jeffrey Funk: “Here is a recent assessment of 2023 Nobel Prize Winner Katalin Kariko:

“Eight current and former colleagues of Karikó told The Daily Pennsylvanian that — over the course of three decades — the university repeatedly shunned Karikó and her research, despite its groundbreaking potential.”

Another article claims that this occurred because she could not get the financial support to continue her research.

Why couldn’t she get financial support? “You’re more likely to get grants if you’re a tenured faculty member, but you’re more likely to get promoted to tenure if you get grants,” said Eric Feigl-Ding, an epidemiologist at the New England Complex Systems Institute and a former faculty member and researcher at Harvard Medical School. “There is a vicious cycle,” he says.

Interesting. So, the idea doesn’t matter. What matters to funding agencies is that you have previously obtained funding or are a tenured professor. Really? Are funding agencies this narrow-minded?

Mr. Feigl-Ding also said, “Universities also tend to look at how much a researcher publishes, or how widely covered by the media their work is, as opposed to how innovative the research is.” But why couldn’t Karikó get published?

Science magazine tells the story of her main paper with Drew Weismann in 2005. After being rejected by Nature within 24 hours: “It was similarly rejected by Science and by Cell, and the word incremental kept cropping up in the editorial staff comments.”

Incremental? There are more than two million papers published each year, and this research, for which Karikó and Weismann won a Nobel Prize, was deemed incremental? If it had been rejected for methods or for the contents being impossible to believe, I think most people could understand the rejection. But incremental?

Obviously, most of the two million papers published each year are really incremental. Yet one of the few papers that we can all agree was not incremental, gets rejected because it was deemed incremental.

Furthermore, this is happening in a system of science in which even Nature admits “disruptive science has declined,” few science-based technologies are being successfully commercialized, and Nature admits that it doesn’t understand why…(More)”.

Why Everyone Hates The Electronic Medical Record


Article by Dharushana Muthulingam: “Patient R was in a hurry. I signed into my computer—or tried to. Recently, IT had us update to a new 14-digit password. Once in, I signed (different password) into the electronic medical record. I had already ordered routine lab tests, but R had new info. I pulled up a menu to add on an additional HIV viral load to capture early infection, which the standard antibody test might miss. R went to the lab to get his blood drawn

My last order did not print to the onsite laboratory. An observant nurse had seen the order and no tube. The patient had left without the viral load being drawn. I called the patient: could he come back? 

 Healthcare workers do not like the electronic health record (EHR), where they spend more time than with patients. Doctors hate it, as do nurse practitionersnursespharmacists, and physical therapists. The National Academies of Science, Engineering and Medicine reports the EHR is a major contributor to clinician burnout. Patient experience is mixed, though the public is still concerned about privacy, errors, interoperability and access to their own records.

The EHR promised a lot: better accuracy, streamlined care, and patient-accessible records. In February 2009, the Obama administration passed the HITECH Act on this promise, investing $36 billion to scale up health information technology. No more deciphering bad handwriting for critical info. Efficiency and cost-savings could get more people into care. We imagined cancer and rare disease registries to research treatments. We wanted portable records accessible in an emergency. We wanted to rapidly identify the spread of highly contagious respiratory illnesses and other public health crises.

Why had the lofty ambition of health information, backed by enormous resources, failed so spectacularly?…(More)”.

Governing the use of big data and digital twin technology for sustainable tourism


Report by Eko Rahmadian: “The tourism industry is increasingly utilizing big data to gain valuable insights and enhance decision-making processes. The advantages of big data, such as real-time information, robust data processing capabilities, and improved stakeholder decision-making, make it a promising tool for analyzing various aspects of tourism, including sustainability. Moreover, integrating big data with prominent technologies like machine learning, artificial intelligence (AI), and the Internet of Things (IoT) has the potential to revolutionize smart and sustainable tourism.

Despite the potential benefits, the use of big data for sustainable tourism remains limited, and its implementation poses challenges related to governance, data privacy, ethics, stakeholder communication, and regulatory compliance. Addressing these challenges is crucial to ensure the responsible and sustainable use of these technologies. Therefore, strategies must be developed to navigate these issues through a proper governing system.

To bridge the existing gap, this dissertation focuses on the current research on big data for sustainable tourism and strategies for governing its use and implementation in conjunction with emerging technologies. Specifically, this PhD dissertation centers on mobile positioning data (MPD) as a case due to its unique benefits, challenges, and complexity. Also, this project introduces three frameworks, namely: 1) a conceptual framework for digital twins (DT) for smart and sustainable tourism, 2) a documentation framework for architectural decisions (DFAD) to ensure the successful implementation of the DT technology as a governance mechanism, and 3) a big data governance framework for official statistics (BDGF). This dissertation not only presents these frameworks and their benefits but also investigates the issues and challenges related to big data governance while empirically validating the applicability of the proposed frameworks…(More)”.

Civic Trust: What’s In A Concept?


Article by Stefaan Verhulst, Andrew J. Zahuranec, Oscar Romero and Kim Ochilo: “We will only be able to improve civic trust once we know how to measure it…

A visualization of the ways to measure civic trust

Recently, there’s been a noticeable decline in trust toward institutions across different sectors of society. This is a serious issue, as evidenced by surveys including the Edelman Trust BarometerGallup, and Pew Research.

Diminishing trust presents substantial obstacles. It threatens to weaken the foundation of a pluralistic democracy, adversely affects public health, and hinders the collaboration needed to tackle worldwide challenges such as climate change. Trust forms the cornerstone of democratic social contracts and is crucial for maintaining the civic agreements essential for the prosperity and cohesion of communities, cities, and countries alike.

Yet to increase civic trust, we need to know what we mean by it and how to measure it, which turns out to be a challenging exercise. Toward that end, The GovLab at New York University and the New York Civic Engagement Commission joined forces to catalog and identify methodologies to quantify and understand the nuances of civic trust.

“Building trust across New York is essential if we want to deepen civic engagement,” said Sarah Sayeed, Chair and Executive Director of the Civic Engagement Commission. “Trust is the cornerstone of a healthy community and robust democracy.”

This blog delves into various strategies for developing metrics to measure civic trust, informed by our own desk research, which categorizes civic trust metrics into descriptive, diagnostic, and evaluative measures…(More)”.

Citizen Engagement in Evidence-informed Policy-making: A Guide to Mini-publics


Report by WHO: “This guide focuses on a specific form of citizen engagement, namely mini-publics, and their potential to be adapted to a variety of contexts. Mini-publics are forums that include a cross-section of the population selected through civic lottery to participate in evidence-informed deliberation to inform policy and action. The term refers to a diverse set of democratic innovations to engage citizens in policy-making. This guide provides an overview of how to organize mini-publics in the health sector. It is a practical companion to the 2022 Overview report, Implementing citizen engagement within evidence-informed policy-making. Both documents examine and encourage contributions that citizens can make to advance WHO’s mission to achieve universal health coverage…(More)””

A complexity science approach to law and governance


Introduction to a Special Issue by Pierpaolo Vivo, Daniel M. Katz and J. B. Ruhl: “The premise of this Special Issue is that legal systems are complex adaptive systems, and thus complexity science can be usefully applied to improve understanding of how legal systems operate, perform and change over time. The articles that follow take this proposition as a given and act on it using a variety of methods applied to a broad array of legal system attributes and contexts. Yet not too long ago some prominent legal scholars expressed scepticism that this field of study would produce more than broad generalizations, if even that. To orient readers unfamiliar with this field and its history, here we offer a brief background on how using complexity science to study legal systems has advanced from claims of ‘pseudoscience’ status to a widely adopted mainstream method. We then situate and summarize the articles.

The focus of complexity science is complex adaptive systems (CAS), systems ‘in which large networks of components with no central control and simple rules of operation give rise to complex collective behavior, sophisticated information processing and adaptation via learning or evolution’. It is important to distinguish CAS from systems that are merely complicated, such as a combustion engine, or complex but non-adaptive, such as a hurricane. A forest or coastal ecosystem, for example, is a complicated network of diverse physical and biological components, which, under no central rules of control, is highly adaptive over time…(More)”.

AI as a Public Good: Ensuring Democratic Control of AI in the Information Space


Report by the Forum on Information and Democracy: “…The report outlines key recommendations to governments, the industry and relevant stakeholders, notably:

  • Foster the creation of a tailored certification system for AI companies inspired by the success of the Fair Trade certification system.
  • Establish standards governing content authenticity and provenance, including for author authentication.
  • Implement a comprehensive legal framework that clearly defines the rights of individuals including the right to be informed, to receive an explanation, to challenge a machine-generated outcome, and to non-discrimination
  • Provide users with an easy and user-friendly opportunity to choose alternative recommender systems that do not optimize for engagement but build on ranking in support of positive individual and societal outcomes, such as reliable information, bridging content or diversity of information.
  • Set up a participatory process to determine the rules and criteria guiding dataset provenance and curation, human labeling for AI training, alignment, and red-teaming to build inclusive, non-discriminatory and transparent AI systems…(More)”.