Global Traffic Scorecard

Curated on Posted on by Stefaan Verhulst

Press Release: “…the 2019 INRIX Global Traffic Scorecard… identified, analyzed and ranked congestion and mobility trends in more than 900 cities, across 43 countries. To reflect an increasingly diverse mobility landscape, the 2019 Global Traffic Scorecard includes both public transport and biking metrics for the first time….

At the global level, Bogota topped the list of the cities most impacted by traffic congestion with drivers losing 191 hours a year to congestion, followed by Rio de Janeiro (190 hours), Mexico City (158 hours) and Istanbul (150 hours). Latin American and European cities again dominated the Top 10, highlighting the rapid urbanisation occurring in Latin America and historic European cities that took shape long before the age of automobile….

INRIX fuses anonymous data from diverse datasets – such as phones, cars, trucks and cities – that leads to robust and accurate insights. The data used in the 2019 Global Traffic Scorecard is the congested or uncongested status of every segment of road for every minute of the day, as used by millions of drivers around the world that rely on INRIX-based traffic services….(More)”

Techlash? America’s Growing Concern with Major Technology Companies

Curated on Posted on by Stefaan Verhulst

Press Release: “Just a few years ago, Americans were overwhelmingly optimistic about the power of new technologies to foster an informed and engaged society. More recently, however, that confidence has been challenged by emerging concerns over the role that internet and technology companies — especially social media — now play in our democracy.

A new Knight Foundation and Gallup study explores how much the landscape has shifted. This wide-ranging study confirms that, for Americans, the techlash is real, widespread, and bipartisan. From concerns about the spread of misinformation to election interference and data privacy, we’ve documented the deep pessimism of folks across the political spectrum who believe tech companies have too much power — and that they do more harm than good. 

Despite their shared misgivings, Americans are deeply divided on how best to address these challenges. This report explores the contours of the techlash in the context of the issues currently animating policy debates in Washington and Silicon Valley. Below are the main findings from the executive summary….

  • 77% of Americans say major internet and technology companies like Facebook, Google, Amazon and Apple have too muchpower.
  • Americans are equally divided among those who favor (50%) and oppose (49%) government intervention that would require internet and technology companies to break into smaller companies. 
  • Americans do not trust social media companies much (44%) or at all (40%) to make the right decisions about what content should or should not be allowed on online platforms.
  • However, they would still prefer the companies (55%) to make those decisions rather than the government (44%). …(More)“

COVID-19 response and data protection law in the EU and US

Curated on Posted on by Stefaan Verhulst

Article by Cathy Cosgrove: “Managing the COVID-19 outbreak and stopping its spread is now a global challenge. In addition to the significant health and medical responses underway around the world, governments and public health officials are focused on how to monitor, understand and prevent the spread of the virus. Data protection and privacy laws, including the EU General Data Protection Regulation and various U.S. laws, are informing these responses.

One major response to limiting the spread of infection is contact tracing, which is the practice of identifying and monitoring anyone who may have come into contact with an infected person. Employers and educational institutions are also imposing travel restrictions, instituting self-quarantine policies, limiting visitors, and considering whether to require medical examinations. These responses necessarily involve obtaining and potentially sharing personal information, including data about an individual’s health, travel, personal contacts, and employment. For example, in the U.S., the Centers for Disease Control and Prevention has asked airlines for the name, date of birth, address, phone number and email address for passengers on certain flights. 

As IAPP Editorial Director Jedidiah Bracy, CIPP, explored in his piece on balancing personal privacy with public interest last week, this collection and processing of personal data is creating substantial discussion about what data protection limitations may be required or appropriate. Even China — which is using AI and big data to manage the outbreak — has issued guidance recognizing the need to limit the collection of data and its use during this public health crisis….(More)”.

Social tipping dynamics for stabilizing Earth’s climate by 2050

Curated on Posted on by Stefaan Verhulst

Paper by Ilona M. Otto et al: “…In this paper, we examine a number of potential “social tipping elements” (STEs) for decarbonization that represent specific subdomains of the planetary social-economic system. Tipping of these subsystems could be triggered by “social tipping interventions” (STIs) that could contribute to rapid transition of the world system into a state of net zero anthropogenic greenhouse gas emissions. The results reported in this study are based on an online expert survey, an expert workshop, and an extensive literature review (SI Appendix).

Our results complement the existing shared socioeconomic pathways (SSPs) that are used alongside the representative concentration pathways (RCPs) to analyze the feedbacks between climate change and socioeconomic factors, such as world population growth, economic development, and technological progress. Our results could be useful for exploring possible transformative pathways leading to scenarios that reach net zero emissions by 2050.

…Various types of tipping processes can be differentiated in the literature. Many authors refer to critical thresholds , a notion closely related to the metaphor of a “butterfly effect”. Other processes related to tipping dynamics include metamorphosis, where a rapid loss of structures of one sort occurs simultaneously with the development of new structures, as well as cascades driven by positive feedbacks in processes occurring simultaneously at smaller scales.

The social tipping dynamics of interest for this study are typically manifested as spreading processes in complex social networks of behaviors, opinions, knowledge, technologies, and social norms, including spreading processes of structural change and reorganization. These spreading processes resemble contagious dynamics observed in epidemiology that spread through social networks. Once triggered, such processes can be irreversible and difficult to stop. Similar contagious dynamics have been observed in human behavior, for example in assaultive violence, participation in social movements, or health-related behaviors and traits, such as smoking or obesity..(More)”.

Policymaking in an Infomocracy

Curated on Posted on by Stefaan Verhulst

An interview with Malka Older: “…Nisa: There’s a line in your first book, “Democracy is of limited usefulness when there are no good choices, or when all the information access in the world can’t make people use it.” So imagine this world you’ve imagined has a much higher demand for free and accurate information access than we have now, in exchange for a fairly high amount of state surveillance. I’m curious what else we give up when we allow that amount of surveillance into our communities and whether that trade-off is necessary.

Malka: The amount of surveillance in the books is a very gentle extrapolation from where we are now. I don’t know if they need to be that connected but I do feel like privacy is a very relative concept. The way that we think of privacy now is very different than the way that it’s been thought of in the past, or the way it’s thought of in different places, and it’s very hard to put that back in the box. I was thinking more in terms of, since we are giving up our privacy anyway, what would I like to see done with all this information? Most of the types of surveillance that I mentioned are already very much in place. It’s hard to walk down the street without seeing surveillance cameras — they’re in private businesses, outside of apartment buildings, in lobbies, and buses and trains and pretty much everywhere.  We already know that whatever we do online is recorded and tracked in some way. If we have smartphones—which I don’t, I’m trying to resist, although it’s getting harder and harder—pretty much all of our movements are being tracked that way. The difference from the book is that the current situation of surveillance is very fragmented, and a combination of private sector and public sector, as opposed to one monolithic organization. Although, it’s not clear how different it really is from our present when governments are able to subpoena information from the private sector. The other part is that we give away a lot of this information, if not all of it, whenever we accept the terms of service agreements. We’re basically saying, in exchange for having this cool phone, I will let you use my data. But we’re learning that companies are often going far beyond what we legally agreed to, and even what we legally agree to is done in such convoluted terms and there’s an imbalance of information to begin with. That’s really problematic. Rather than thinking in terms of privacy as a kind of absolute or in terms of surveillance, I tend to think more about who owns the data, who has access to the data. The real problem is not just that there are cameras everywhere, but that we don’t know who is watching those cameras or who is able to access those cameras at any given time. Similarly, the fact that all of our online data is being recorded is not necessarily a huge problem, except when we have no way of knowing what the data is contributing to when it’s amalgamated and no recourse or control over how it’s eventually used. All this data that we create in our online trails being in the hands of a corporation that does not need to share it or reveal it, and is using it to make money, or all of that data being available to everybody or held under some sort of very clear and equitable terms where we have much more choice about what’s it’s used for and where we could access our own data. For me, it’s very much about the power structures involved….(More)”.

How Taiwan Used Big Data, Transparency and a Central Command to Protect Its People from Coronavirus

Curated on Posted on by Stefaan Verhulst

Article by Beth Duff-Brown: “…So what steps did Taiwan take to protect its people? And could those steps be replicated here at home?

Stanford Health Policy’s Jason Wang, MD, PhD, an associate professor of pediatrics at Stanford Medicine who also has a PhD in policy analysis, credits his native Taiwan with using new technology and a robust pandemic prevention plan put into place at the 2003 SARS outbreak.

“The Taiwan government established the National Health Command Center (NHCC) after SARS and it’s become part of a disaster management center that focuses on large-outbreak responses and acts as the operational command point for direct communications,” said Wang, a pediatrician and the director of the Center for Policy, Outcomes, and Prevention at Stanford. The NHCC also established the Central Epidemic Command Center, which was activated in early January.

“And Taiwan rapidly produced and implemented a list of at least 124 action items in the past five weeks to protect public health,” Wang said. “The policies and actions go beyond border control because they recognized that that wasn’t enough.”

Wang outlines the measures Taiwan took in the last six weeks in an article published Tuesday in the Journal of the American Medical Association.

“Given the continual spread of COVID-19 around the world, understanding the action items that were implemented quickly in Taiwan, and the effectiveness of these actions in preventing a large-scale epidemic, may be instructive for other countries,” Wang and his co-authors wrote.

Within the last five weeks, Wang said, the Taiwan epidemic command center rapidly implemented those 124 action items, including border control from the air and sea, case identification using new data and technology, quarantine of suspicious cases, educating the public while fighting misinformation, negotiating with other countries — and formulating policies for schools and businesses to follow.

Big Data Analytics

The authors note that Taiwan integrated its national health insurance database with its immigration and customs database to begin the creation of big data for analytics. That allowed them case identification by generating real-time alerts during a clinical visit based on travel history and clinical symptoms.

Taipei also used Quick Response (QR) code scanning and online reporting of travel history and health symptoms to classify travelers’ infectious risks based on flight origin and travel history in the last 14 days. People who had not traveled to high-risk areas were sent a health declaration border pass via SMS for faster immigration clearance; those who had traveled to high-risk areas were quarantined at home and tracked through their mobile phones to ensure that they stayed home during the incubation period.

The country also instituted a toll-free hotline for citizens to report suspicious symptoms in themselves or others. As the disease progressed, the government called on major cities to establish their own hotlines so that the main hotline would not become jammed….(More)”.

Systems Thinking and Regulatory Governance: A Review of the International Academic Literature

Curated on Posted on by Stefaan Verhulst

Paper by Jeroen van der Heijden: “This research paper presents findings from a broad scoping of the international academic literature on the use of systems thinking and systems science in regulatory governance and practice. It builds on a systematic review of peer-reviewed articles published in the top 15 journals for regulatory scholarship. The aim of the research paper is to introduce those working in a regulatory environment to the key concepts of systems thinking and systems science, and to discuss the state of the art of regulatory knowledge on these topics.

It addresses five themes:

(1) the evolution of systems thinking,

(2) examples of systems thinking from the academic literature,

(3) evidence of how systems thinking helps improving regulatory governance, and

(4) the epistemic challenges and

(5) ethical challenges that come with applying systems thinking to regulatory governance and practice….(More)”.

Nudge Regulation and Innovation Policy

Curated on Posted on by Stefaan Verhulst

Paper by Nissim Cohen and Hadar Yoana Jabotinsky: “Whilst there is widespread agreement among decision makers that fostering innovation should be a priority, there is far less consensus on how to achieve this objective. Given the fact that the effects of new technologies are often unknown, in the early stages of technological development, there might be insufficient information for conducting a cost-benefit analysis. Under uncertainty, using strict regulatory measures might kill the innovation before the market matures, resulting in inefficiency. Moreover, strict regulation can infringe on entrepreneurs’ right to conduct a business. In addition, using strict regulation without fully understanding the technology and the harm it might cause consumers might not provide them with the needed protection. We argue that when regulating new technologies, the use of nudges is a desirable policy tool, superior to most other policy tools available to regulators. Nudging leaves room for technological developments while allowing the regulators to rely on the Wisdom of the Crowd to move regulation in the most efficient direction….(More)”.

Crowdsourcing Geographic Information

Curated on Posted on by Stefaan Verhulst

Paper by Dieter Pfoser: “The crowdsourcing of geographic information addresses the collection of geospatial data contributed by non-expert users and the aggregation of these data into meaningful geospatial datasets. While crowdsourcing generally implies a coordinated bottom-up
grass-roots effort to contribute information, in the context of geospatial data the term volunteered geographic information (VGI) specifically refers to a dedicated collection effort inviting non-expert users to contribute. A prominent example here is the OpenStreetMap effort focusing on map datasets. Crowdsourcing geospatial data is an evolving research area that covers efforts ranging from mining GPS tracking data to using social media content to profile population dynamics…(More)”.

Milwaukee’s Amani Neighborhood Uses Data to Target Traffic Safety and Build Trust

Curated on Posted on by Stefaan Verhulst

Article by Kassie Scott: “People in Milwaukee’s Amani neighborhood are using data to identify safety issues and build relationships with the police. It’s a story of community-engaged research at its best.

In 2017, the Milwaukee Police Department received a grant under the federal Byrne Criminal Justice Innovation program, now called the Community Based Crime Reduction Program, whose purpose is to bridge the gap between practitioners and researchers and advance the use of data in making communities safer. Because of its close ties in the Amani neighborhood, the Dominican Center was selected to lead this initiative, known as the Amani Safety Initiative, and they partnered with local churches, the district attorney’s office, LISC-Milwaukee, and others. To support the effort with data and coaching, the police department contracted with Data You Can Use.

Together with Data You Can Use, the Amani Safety Initiative team first implemented a survey to gauge perceptions of public safety and police legitimacy. Neighborhood ambassadors were trained (and paid) to conduct the survey themselves, going door to door to gather the information from nearly 300 of their neighbors. The ambassadors shared these results with their neighborhood during what they called “data chats.” They also printed summary survey results on door hangers, which they distributed throughout the neighborhood.

Neighbors and community organizations were surprised by the survey results. Though violent crime and mistrust in the police were commonly thought to be the biggest issues, the data showed that residents were most concerned about traffic safety. Ultimately, residents decided to post slow-down signs in intersections.

This project stands out for letting the people in the neighborhood lead the way. Neighbors collected data, shared results, and took action. The partnership between neighbors, police, and local organizations shows how people can drive decision-making for their neighborhood.

The larger story is one of social cohesion and mutual trust. Through participating in the initiative and learning more about their neighborhood, Amani neighbors built stronger relationships with the police. The police began coming to neighborhood community meetings, which helped them build relationships with people in the community and understand the challenges they face….(More).