Data Sharing in Transport

Curated on Posted on by Stefaan Verhulst

Technical Note by the European Investment Board: “Traveller and transport related data are essential for planning efficient urban mobility and delivering an effective public transport services while adequately managing infrastructure investment costs. It also supports local authorities in their efforts towards decarbonisation of transport as well as improving air quality.

Nowadays, most of the data are generated by location-based mobile phone applications and connected vehicles or other mobility equipment like scooters and bikes. This opens up new opportunities in public sector engagement with private sector and partnerships.

This report, through an extensive literature review and interviews, identifies seven Data Partnership Models that could be used by public and private sector entities in the field of transport. It also provides a concise roadmap for local authorities as a guidance in their efforts when engaging with private sector in transport data sharing…(More)”.

Breakthrough: The Promise of Frontier Technologies for Sustainable Development

Curated on Posted on by Stefaan Verhulst

Book edited by Homi Kharas, John McArthur, and Izumi Ohno: “Looking into the future is always difficult and often problematic—but sometimes it’s useful to imagine what innovations might resolve today’s problems and make tomorrow better. In this book, 15 distinguished international experts examine how technology will affect the human condition and natural world within the next ten years. Their stories reflect major ambitions for what the future could bring and offer a glimpse into the possibilities for achieving the UN’s ambitious Sustainable Development Goals.

The authors were asked to envision future success in their respective fields, given the current state of technology and potential progress over the next decade. The central question driving their research: What are likely technological advances that could contribute  to the Sustainable Development Goals at major scale, affecting the lives of hundreds of millions of people or substantial geographies around the globe.

One overall takeaway is that gradualist approaches will not achieve those goals by 2030. Breakthroughs will be necessary in science, in the development of new products and services, and in institutional systems. Each of the experts responded with stories that reflect big ambitions for what the future may bring. Their stories are not projections or forecasts as to what will happen; they are reasoned and reasonable conjectures about what could happen. The editors’ intent is to provide a glimpse into the possibilities for the future of sustainable development.

At a time when many people worry about stalled progress on the economic, social, and environmental challenges of sustainable development, Breakthrough is a reminder that the promise of a better future is within our grasp, across a range of domains. It will interest anyone who wonders about the world’s economic, social, and environmental future…(More)”

Enlightenment’s dimming light

Curated on Posted on by Stefaan Verhulst

Anthony Painter at the RSA: “…The project of the Enlightenment is dimming and more of the same values and the political economy and society they surface cannot enable us to resolve the global problems we face. One America is already too much and with China heading that way in consumption and environmental degradation terms the global impacts will be devastating. Something must evolve and fast if we are not to crash into these limits that have become apparent. COP26 was a step; many, many more are required. First there was the unravelling, but unless we face it then there will be reckoning – for many, though innocent, there already is.

There is a volume of documentary evidence behind the nature of these multiple crises. Whilst we should constantly remind ourselves of the depth of the challenge, and it is at scale, there are two urgent questions that are needed if we are to find a way through. In the words of Arundhati Roy, who do we want to be at the other side – through the portal? How do we travel with that sense of purpose and deep values as we confront the future? Survival requires us as societies to rapidly learn together and evolve.

To make the transition relies on developing three inter-connected and mutually reinforcing values: home, community and democracy. Through these we will develop a sense of the ‘lifeworld’ we wish to safeguard. The German philosopher, Jurgen Habermas, sees the lifeworld as a space of human interaction and civic community and see its interface with big systems of money and power – human creations but distinct forces from the ‘lifeworld’ – as the critical site of human progress and well-being. Creativity happens at the frontier between the lifeworld and big systems.

What is meant by ‘home’? Some elements of home are in proximity. They are our close relations, those we care for directly and receive care from, as deep commitment rather than reciprocated self-interest. Home is a state of what Michael Tomasello has termed, collective intentionality. Any account of the future will need to have a convincing account of close relations. Increasingly these relationships are mediated by technology and we need to develop a more conscious account of how technology can and should act as a bond rather than a thinner of human relations.

There are seemingly more distant aspects of ‘home’ too – most particularly the natural environmental into which we are woven. And there we have been committing acts of domestic harm: polluting the atmosphere, depleting the stock of species, and poisoning the water and the ground with toxic waste. This two century long destructive streak is now visible and realised. There is a common understanding that change must come: but how and how rapidly? How can we develop an even greater collective sense of the need for rapid and radical change? And how can we begin to evolve systems of money, power and technology to respond to this new ‘common sense’? How can our future be one that regenerates nature as well as ourselves?…(More)”

Artificial intelligence searches for the human touch

Curated on Posted on by Stefaan Verhulst

Madhumita Murgia at the Financial Times: “For many outside the tech world, “data” means soulless numbers. Perhaps it causes their eyes to glaze over with boredom. Whereas for computer scientists, data means rows upon rows of rich raw matter, there to be manipulated.

Yet the siren call of “big data” has been more muted recently. There is a dawning recognition that, in tech such as artificial intelligence, “data” equals human beings.

AI-driven algorithms are increasingly impinging upon our everyday lives. They assist in making decisions across a spectrum that ranges from advertising products to diagnosing medical conditions. It’s already clear that the impact of such systems cannot be understood simply by examining the underlying code or even the data used to build them. We must look to people for answers as well.

Two recent studies do exactly that. The first is an Ipsos Mori survey of more than 19,000 people across 28 countries on public attitudes to AI, the second a University of Tokyo study investigating Japanese people’s views on the morals and ethics of AI usage. By inviting those with lived experiences to participate, both capture the mood among those researching the impact of artificial intelligence.

The Ipsos Mori survey found that 60 per cent of adults expect that products and services using AI will profoundly change their daily lives in the next three to five years. Latin Americans in particular think AI will trigger changes in social needs such as education and employment, while Chinese respondents were most likely to believe it would change transportation and their homes.

The geographic and demographic differences in both surveys are revealing. Globally, about half said AI technology has more benefits than drawbacks, while two-thirds felt gloomy about its impact on their individual freedom and legal rights. But figures for different countries show a significant split within this. Citizens from the “global south”, a catch-all term for non-western countries, were much more likely to “have a positive outlook on the impact of AI-powered products and services in their lives”. Large majorities in China (76 per cent) and India (68 per cent) said they trusted AI companies. In contrast, only 35 per cent in the UK, France and US expressed similar trust.

In the University of Tokyo study, researchers discovered that women, older people and those with more subject knowledge were most wary of the risks of AI, perhaps an indicator of their own experiences with these systems. The Japanese mathematician Noriko Arai has, for instance, written about sexist and gender stereotypes encoded into “female” carer and receptionist robots in Japan.

The surveys underline the importance of AI designers recognising that we don’t all belong to one homogenous population, with the same understanding of the world. But they’re less insightful about why differences exist….(More)”.

New and updated building footprints

Curated on Posted on by Stefaan Verhulst

Bing Blogs: “…The Microsoft Maps Team has been leveraging that investment to identify map features at scale and produce high-quality building footprint data sets with the overall goal to add to the OpenStreetMap and MissingMaps humanitarian efforts.

As of this post, the following locations are available and Microsoft offers access to this data under the Open Data Commons Open Database License (ODbL).

Country/RegionMillion buildings
United States of America129.6
Nigeria and Kenya50.5
South America44.5
Uganda and Tanzania17.9
Canada11.8
Australia11.3

As you might expect, the vintage of the footprints depends on the collection date of the underlying imagery. Bing Maps Imagery is a composite of multiple sources with different capture dates (ranging 2012 to 2021). To ensure we are setting the right expectation for that building, each footprint has a capture date tag associated if we could deduce the vintage of imagery used…(More)”

The Digital Continent: Placing Africa in Planetary Networks of Work

Curated on Posted on by Stefaan Verhulst

Open Access Book by Mohammad Amir Anwar and Mark Graham: “As recently as the early 2010s, there were more internet users in countries like France or Germany than in all of Africa put together. But much changed in that decade, and 2018 marked the first year in human history in which a majority of the world’s population is now connected to the internet. This mass connectivity means that we have an internet that no longer connects only the world’s wealthy. Workers from Lagos to Johannesburg to Nairobi, and everywhere in between, can now apply for and carry out jobs coming from clients who themselves can be located anywhere in the world. Digital outsourcing firms can now also set up operations in the most unlikely of places in order to tap into hitherto disconnected labour forces. With CEOs in the Global North proclaiming that location is a concern of the past, and governments and civil society in Africa promising to create millions of jobs on the continent, The Digital Continent investigates what this new world of digital work means to the lives of African workers. Anwar and Graham draw on a five-year-long field study in South Africa, Kenya, Nigeria, Ghana, and Uganda, and over 200 interviews conducted with participants including gig workers, call and contact centre workers, small self-employed freelancers, business owners, government officials, labour union officials, and industry experts. Focusing on both platform-based remote work and call and contact centre work, the book examines the job quality implications of digital work for the lives and livelihoods of African workers…(More)”.

Octagon Measurement: Public Attitudes toward AI Ethics

Curated on Posted on by Stefaan Verhulst

Paper by Yuko Ikkatai, Tilman Hartwig, Naohiro Takanashi & Hiromi M. Yokoyama: “Artificial intelligence (AI) is rapidly permeating our lives, but public attitudes toward AI ethics have only partially been investigated quantitatively. In this study, we focused on eight themes commonly shared in AI guidelines: “privacy,” “accountability,” “safety and security,” “transparency and explainability,” “fairness and non-discrimination,” “human control of technology,” “professional responsibility,” and “promotion of human values.” We investigated public attitudes toward AI ethics using four scenarios in Japan. Through an online questionnaire, we found that public disagreement/agreement with using AI varied depending on the scenario. For instance, anxiety over AI ethics was high for the scenario where AI was used with weaponry. Age was significantly related to the themes across the scenarios, but gender and understanding of AI differently related depending on the themes and scenarios. While the eight themes need to be carefully explained to the participants, our Octagon measurement may be useful for understanding how people feel about the risks of the technologies, especially AI, that are rapidly permeating society and what the problems might be…(More)”.

Data Re-Use and Collaboration for Development

Curated on Posted on by Stefaan Verhulst

Stefaan G. Verhulst at Data & Policy: “It is often pointed out that we live in an era of unprecedented data, and that data holds great promise for development. Yet equally often overlooked is the fact that, as in so many domains, there exist tremendous inequalities and asymmetries in where this data is generated, and how it is accessed. The gap that separates high-income from low-income countries is among the most important (or at least most persistent) of these asymmetries…

Data collaboratives are an emerging form of public-private partnership that, when designed responsibly, can offer a potentially innovative solution to this problem. Data collaboratives offer at least three key benefits for developing countries:

1. Cost Efficiencies: Data and data analytic capacity are often hugely expensive and beyond the limited capacities of many low-income countries. Data reuse, facilitated by data collaboratives, can bring down the cost of data initiatives for development projects.

2. Fresh insights for better policy: Combining data from various sources by breaking down silos has the potential to lead to new and innovative insights that can help policy makers make better decisions. Digital data can also be triangulated with existing, more traditional sources of information (e.g., census data) to generate new insights and help verify the accuracy of information.

3. Overcoming inequalities and asymmetries: Social and economic inequalities, both within and among countries, are often mapped onto data inequalities. Data collaboratives can help ease some of these inequalities and asymmetries, for example by allowing costs and analytical tools and techniques to be pooled. Cloud computing, which allows information and technical tools to be easily shared and accessed, are an important example. They can play a vital role in enabling the transfer of skills and technologies between low-income and high-income countries…(More)”. See also: Reusing data responsibly to achieve development goals (OECD Report).

How digital transformation is driving economic change

Curated on Posted on by Stefaan Verhulst

Blog (and book) by Zia Qureshi: “We are living in a time of exciting technological innovations. Digital technologies are driving transformative change. Economic paradigms are shifting. The new technologies are reshaping product and factor markets and profoundly altering business and work. The latest advances in artificial intelligence and related innovations are expanding the frontiers of the digital revolution. Digital transformation is accelerating in the wake of the COVID-19 pandemic. The future is arriving faster than expected.

A recently published book, “Shifting Paradigms: Growth, Finance, Jobs, and Inequality in the Digital Economy,” examines the implications of the unfolding digital metamorphosis for economies and public policy agendas….

Firms at the technological frontier have broken away from the rest, acquiring dominance in increasingly concentrated markets and capturing the lion’s share of the returns from the new technologies. While productivity growth in these firms has been strong, it has stagnated or slowed in other firms, depressing aggregate productivity growth. Increasing automation of low- to middle-skill tasks has shifted labor demand toward higher-level skills, hurting wages and jobs at the lower end of the skill spectrum. With the new technologies favoring capital, winner-take-all business outcomes, and higher-level skills, the distribution of both capital and labor income has tended to become more unequal, and income has been shifting from labor to capital.

One important reason for these outcomes is that policies and institutions have been slow to adjust to the unfolding transformations. To realize the promise of today’s smart machines, policies need to be smarter too. They must be more responsive to change to fully capture potential gains in productivity and economic growth and address rising inequality as technological disruptions create winners and losers.

As technology reshapes markets and alters growth and distributional dynamics, policies must ensure that markets remain inclusive and support wide access to the new opportunities for firms and workers. The digital economy must be broadened to disseminate new technologies and opportunities to smaller firms and wider segments of the labor force…(More)”.

Tech is finally killing long lines

Curated on Posted on by Stefaan Verhulst

Erica Pandey at Axios: “Startups and big corporations alike are releasing technology to put long lines online.

Why it matters: Standing in lines has always been a hassle, but the pandemic has made lines longer, slower and even dangerous. Now many of those lines are going virtual.

What’s happening: Physical lines are disappearing at theme parks, doctor’s offices, clothing stores and elsewhere, replaced by systems that let you book a slot online and then wait to be notified that it’s your turn.

Whyline, an Argentinian company that was just acquired by the biometric ID company CLEAR, is an app that lets users do just that — it will keep you up to date on your wait time and let you know when you need to show up.

  • Whyline’s list of clients — mostly in Latin America — includes banks, retail stores, the city of Lincoln, Nebraska, and Los Angeles International Airport.
  • “The same way you make a reservation at a restaurant, Whyline software does the waiting for you in banks, in DMVs, in airports,” CLEAR CEO Caryn Seidman-Becker said on CNBC.

Another app called Safe Queue was born from the pandemic and aims to make in-store shopping safer for customers and workers by spacing out shoppers’ visits.

  • The app uses GPS technology to detect when you’re within 1,000 feet of a participating store and automatically puts you in a virtual line. Then you can wait in your car or somewhere nearby until it’s your turn to shop.

Many health clinics around the country are also putting their COVID test lines online..

The rub: While virtual queuing tech may be gaining ground, lines are still more common than not. And in the age of social distancing, expect wait times to remain high and lines to remain long…(More)”.