NIH-funded team uses smartphone data in global study of physical activity


National Institutes of Health: “Using a larger dataset than for any previous human movement study, National Institutes of Health-funded researchers at Stanford University in Palo Alto, California, have tracked physical activity by population for more than 100 countries. Their research follows on a recent estimate that more than 5 million people die each year from causes associated with inactivity.

The large-scale study of daily step data from anonymous smartphone users dials in on how countries, genders, and community types fare in terms of physical activity and what results may mean for intervention efforts around physical activity and obesity. The study was published July 10, 2017, in the advance online edition of Nature.

“Big data is not just about big numbers, but also the patterns that can explain important health trends,” said Grace Peng, Ph.D., director of the National Institute of Biomedical Imaging and Bioengineering (NIBIB) program in Computational Modeling, Simulation and Analysis.

“Data science and modeling can be immensely powerful tools. They can aid in harnessing and analyzing all the personalized data that we get from our phones and wearable devices.”

Almost three quarters of adults in developed countries and half of adults in developing economies carry a smartphone. The devices are equipped with tiny accelerometers, computer chip that maintains the orientation of the screen, and can also automatically record stepping motions. The users whose data contributed to this study subscribed to the Azumio Argus app, a free application for tracking physical activity and other health behaviors….

In addition to the step records, the researchers accessed age, gender, and height and weight status of users who registered the smartphone app. They used the same calculation that economists use for income inequality — called the Gini index — to calculate activity inequality by country.

“These results reveal how much of a population is activity-rich, and how much of a population is activity-poor,” Delp said. “In regions with high activity inequality there are many people who are activity poor, and activity inequality is a strong predictor of health outcomes.”…

The researchers investigated the idea that making improvements in a city’s walkability — creating an environment that is safe and enjoyable to walk — could reduce activity inequality and the activity gender gap.

“If you must cross major highways to get from point A to point B in a city, the walkability is low; people rely on cars,” Delp said. “In cities like New York and San Francisco, where you can get across town on foot safely, the city has high walkability.”

Data from 69 U.S. cities showed that higher walkability scores are associated with lower activity inequality. Higher walkability is associated with significantly more daily steps across all age, gender, and body-mass-index categories.  However, the researchers found that women recorded comparatively less activity than men in places that are less walkable.

The study exemplifies how smartphones can deliver new insights about key health behaviors, including what the authors categorize as the global pandemic of physical inactivity….(More)”.

Principles and Practices for a Federal Statistical Agency


National Academies of Sciences Report: “Publicly available statistics from government agencies that are credible, relevant, accurate, and timely are essential for policy makers, individuals, households, businesses, academic institutions, and other organizations to make informed decisions. Even more, the effective operation of a democratic system of government depends on the unhindered flow of statistical information to its citizens.

In the United States, federal statistical agencies in cabinet departments and independent agencies are the governmental units whose principal function is to compile, analyze, and disseminate information for such statistical purposes as describing population characteristics and trends, planning and monitoring programs, and conducting research and evaluation. The work of these agencies is coordinated by the U.S. Office of Management and Budget. Statistical agencies may acquire information not only from surveys or censuses of people and organizations, but also from such sources as government administrative records, private-sector datasets, and Internet sources that are judged of suitable quality and relevance for statistical use. They may conduct analyses, but they do not advocate policies or take partisan positions. Statistical purposes for which they provide information relate to descriptions of groups and exclude any interest in or identification of an individual person, institution, or economic unit.

Four principles are fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence from political and other undue external influence.� Principles and Practices for a Federal Statistical Agency: Sixth Edition presents and comments on these principles as they’ve been impacted by changes in laws, regulations, and other aspects of the environment of federal statistical agencies over the past 4 years….(More)”.

Connecting societal issues, users and data. Scenario-based design of open data platforms


Erna Ruijer et al in Government Information Quarterly: “Governments around the world make their data available through platforms but, disappointingly, the use of this data is lagging behind. This problem has been recognized in the literature and to facilitate use of open datasets, scholars have focused on identifying general user requirements for open data platform design. This approach however fails to take into account the variation of open data practices and specific contexts of usage. This study, therefore, argues that next to general requirements: we also need to collect context-specific user requirements for open data platforms. We take different societal issues as the starting point for open data platform design. To illustrate the value of this context-specific approach, we apply scenario-based design methodology in the Province of Groningen in The Netherlands. The results show that different scenarios result partly in similar but also partly in different user requirements, leading to a deeper and richer understanding of user requirements. We conclude that a context-specific approach thereby connecting data, users and societal issues can be used to guide government agencies and designers in efforts to develop open data platforms that actually meet the needs of citizens….(More)”.

Lessons from Airbnb and Uber to Open Government as a Platform


Interview by Marquis Cabrera with Sangeet Paul Choudary: “…Platform companies have a very strong core built around data, machine learning, and a central infrastructure. But they rapidly innovate around it to try and test new things in the market and that helps them open themselves for further innovation in the ecosystem. Governments can learn to become more modular and more agile, the way platform companies are. Modularity in architecture is a very fundamental part of being a platform company; both in terms of your organizational architecture, as well as your business model architecture.

The second thing that governments can learn from a platform company is that successful platform companies are created with intent. They are not created by just opening out what you have available. If you look at the current approach of applying platform thinking in government, a common approach is just to take data and open it out to the world. However, successful platform companies first create a shaping strategy to shape-out and craft a direction of vision for the ecosystem in terms of what they can achieve by being on the platform. They then provision the right tools and services that serve the vision to enable success for the ecosystem[1] . And only then do they open up their infrastructure. It’s really important that you craft the right shaping strategy and use that to define the rights tools and services before you start pursuing a platform implementation.

In my work with governments, I regularly find myself stressing the importance of thinking as a market maker rather than as a service provider. Governments have always been market makers but when it comes to technology, they often take the service provider approach.

In your book, you used San Francisco City Government and Data.gov as examples of infusing platform thinking in government. But what are some global examples of governments, countries infusing platform thinking around the world?

One of the best examples is from my home country Singapore, which has been at the forefront of converting the nation into a platform. It has now been pursuing platform strategy both overall as a nation by building a smart nation platform, and also within verticals. If you look particularly at mobility and transportation, it has worked to create a central core platform and then build greater autonomy around how mobility and transportation works in the country. Other good examples of governments applying this are Dubai, South Korea, Barcelona; they are all countries and cities that have applied the concept of platforms very well to create a smart nation platform. India is another example that is applying platform thinking with the creation of the India stack, though the implementation could benefit from better platform governance structures and a more open regulation around participation….(More)”.

Madrid as a democracy lab


Bernardo Gutiérrez at OpenDemocracy: “…The launch of Decide Madrid, the city participation platform running on the Consul free software, signaled a real revolution. On the one hand, it paved the way for democracy from the bottom up, through direct and binding mechanisms. Unlike other historical participatory budgets, the 100 million Euros devoted to Decide Madrid participatory budgets in 2017 are allocated according to proposals coming from below. The proposals that get the most votes, whenever technically feasible, are approved. The platform also carries a section for “citizen proposals”. …

The Decide Madrid platform was not initially well received by the traditional neighbourhood associations, used to face-to-face participation and to mediating between citizens and government. In order to tackle this, a number of face-to-face deliberation spaces are being set up, such as the Local Forums (physical participation spaces in the districts), and also projects such as If you feel like a cat (participation for children and teenagers), or processes such as G1000, which aims at promoting collective deliberation and fostering proposals from below on the basis of a representative sample of the population, so that the participants’ diversity and plurality is guaranteed.

Most projects are being carried out with the support of the new Laboratories of Citizen Innovation of the prestigious Medialab-Prado. The Participa LAB(Collective Intelligence for Democracy), the DataLab (open data) and the InciLab (Citizen Innovation Lab) are joint public/common initiatives, acting as a bridge between local government and citizens. The Participa LAB, which is the one working more closely on participation, is collaborating with Decide Madridin a number of projects (Codat Madrid hackathons, If you feel like a cat, community lines, gamification, G1000, narrative groups…) and coordinates the Collective Intelligence for Democracy international call. InciLab has launched, among many other initiatives, the Madrid Listens project, to connect City Hall officials with citizens on concrete projects, blending disintermediation and the citizen lab philosophy.

More than 300.000 users strong, Decide Madrid is consolidating itself as the hegemonic space for participation in the city. It activates a variety of processes, debates, proposals, and projects. Its free software means that any city can adapt Consul to its needs, without any substantial investment, and set up a platform. From Barcelona to A Coruña, from Rome to Paris and Buenos Aires, dozens of institutions around the world have replicated the initial Decide Madrid core, thus setting up what Audrey Tang, Taiwan’s digital minister, calls a “liquid federation of cities”. Ada Colau, the mayor of Barcelona, praising the cooperative network of participation cities says: “It is very interesting that in Barcelona we have been able to carry out our first experience of digital participation, Decidim Barcelona, adapting Madrid’s base code. Once we have had a first proposal, we have shared it with many municipalities throughout Catalonia”.

Distributed democracy

The brain as a metaphor. A map of Hamburg (Germany) as a symbol of the networked, decentralized city. Neurons and neighbourhoods connected by flows, inevitably synchronized. Both images are to be found in Emergency, Steven Johnson’s classic book on collective intelligence processes. The city as a brain, as a whole made of decentralized nodes. The city as an open network, where any neighbourhood-node can connect with any other. Caio Vassão’s concept of a distributed city rounds the edges of the city with no centre, “networked, open, fluid, flexible, adaptable, reconfigurable”. A city where the neighbourhoods in the suburbs dialogue and relate to each other without the mediation of a historical center.

Left: Diagram of the human brain. Image source: Mittermeier. Right: Map of Hamburg, circa 1850. Image source: Princeton Architectural Press.

Madrid has kick-started a forceful decentralization policy. Distributed democracy in Madrid can be seen in how budgets are allocated, how city districts have multiplied their resources and partly manage cultural festivals (like the Summers in the City) and cultural projects (Madrid District).

At the same time, the launching of the Local Forums is a clear move to decentralize power and participation in the city. Through projects such as Experiment District (travelling citizen laboratories), Imagine Madrid (rethinking 10 territories) or the M.A.R.E.S project, Spain’s capital city is redrawing its neighbourhood fabric, its economic relations, and citizen involvement in decision making. The successful Medialab-Prado’s Experiment District project, which has already visited Villaverde, Moratalaz and Fuencarral, is in full expansion. It is about to even launch a global call, as dozens of cities around the world want to replicate it. Medialab-Prado, one of the city innovation centres, defines Experiment District as a set of “citizen labs for experimenting and collaborative learning in which anyone can participate”. Citizen (neighbourhood) labs based on the prototyping culture, an open and collaborative way of developing projects. Citizen (neighbourhood) labs for learning and teaching, where the result is not a perfect product, but a process that can be improved in real time through the collaboration of citizens from the Madrid neighbourhoods….(More)”

Are Future Bureaucrats More Prosocial?


Paper by Markus S. Tepe and Pieter Vanhuysse: “…explores the associations between self-reported Public Service Motivation (PSM) and preferred job traits, study choice, and observable prosocial behavior. We study three subject pools covering over 250 university students in Germany. We use laboratory experiments with monetary rewards to measure altruism, fairness, strategic fairness, and cooperativeness, and a post-experimental survey on subjects’ PSM. Higher levels of PSM are not associated with studying public administration but are positively associated with altruism and negatively with strategic fairness. The experimental data reveals robust subject-pool effects. After controlling for PSM, public administration students behave more altruistically and display less merely strategic fairness than business students. And they behave more cooperatively than business and law students. These behavioral findings about future bureaucrats corroborate cumulative earlier survey evidence about the higher prosocial tendencies of public sector employees. They point to the danger of crowding out such tendencies through overly extrinsic management tools….(More)”

The ethics issue: Should we abandon privacy online?


Special issue of the New Scientist: “Those who would give up essential Liberty to purchase a little temporary Safety,” Benjamin Franklin once said, “deserve neither Liberty nor Safety.” But if Franklin were alive today, where would he draw the line? Is the freedom to send an encrypted text message essential? How about the right to keep our browsing history private? What is the sweet spot between our need to be left alone and our desire to keep potential criminals from communicating in secret?

In an age where fear of terrorism is high in the public consciousness, governments are likely to err on the side of safety. Over the past decade, the authorities have been pushing for – and getting – greater powers of surveillance than they have ever had, all in the name of national security.

The downsides are not immediately obvious. After all, you might think you have nothing to hide. But most of us have perfectly legal secrets we’d rather someone else didn’t see. And although the chances of the authorities turning up to take you away in a black SUV on the basis of your WhatsApp messages are small in free societies, the chances of insurance companies raising your premiums are not….(More)”.

A City Is a Data Pool: Blockchains and the Crypto-City


Paper by Jason PottsEllie Rennie and Jake Goldenfein: “The Smart City agenda of integrating ICT and Internet of Things (IoT) informatic infrastructure to improve the efficiency and adaptability of city governance has been shaping urban development policy for more than a decade now. A smart city has more data, gathered though new and better technology, delivering higher quality city services. In this paper, we explore how blockchain technology could shift the Smart City agenda by altering transaction costs with implications for the coordination of infrastructures and resources. Like the Smart City the Crypto City utilizes data informatics, but can be coordinated through distributed rather than centralized systems. The data infrastructure of the Crypto-City can enable civil society to run local public goods, and facilitate economic and social entrepreneurship. Drawing on economic theory of transaction costs, the paper sets out an explanatory framework for understanding the kinds of new governance mechanisms that may emerge in conjunction with automated systems, including the challenges that blockchain poses for cities….(More)”.

Tackling Challenges in the Engagement of Citizens with Smart City Initiatives


Paper by Long Pham and Conor Linehan: “Smart City (SC) initiatives offer best possible outcomes to  citizens and other stakeholders when those people are  involved centrally in all stages of the project. However,  undertaking design processes that facilitate citizen  engagement often involves prohibitive challenges in cost,  design and deployment mechanisms, particularly for small  cities that have limited resources. We report on a project  carried out in Cork City, a small city in Ireland, where a  method inspired by crowdsourcing was used to involve  local participants in decisions regarding smart city  infrastructure. Academics, local government, volunteers  and civil organisations came together to collaboratively  design and carry out a study to represent local interests  around the deployment of smart city infrastructure. Our  project demonstrates a new way of translating  crowdsourcing for use in government problem-solving. It  was comparatively inexpensive, creative in design, and  flexible but collaborative in deployment, resulting in high  volume of reliable data for project prioritisation and  implementation….(More)”

Open Data as Enabler of Public Service Co-creation: Exploring the Drivers and Barriers


Paper by Maarja Toots: “Open data is being increasingly looked at as a major driver of public service innovation. Open access to datasets and advanced analytical tools are believed to generate valuable new knowledge that can be turned into data-driven services. At the same time, open data is also believed to spur open governance and enable the engagement of various stakeholders in the co-creation of services. Despite this appealing vision of open data-driven co-creation of public services, we are far from understanding how it can be realized in practice. We turned to 63 experts and practitioners in a survey covering six European countries and found a multitude of barriers that need to be overcome first. Luckily we also found some drivers. This paper provides some first insights into these drivers and barriers and proposes policy recommendations to foster a data-driven transformation of public service creation….(More)”.