EU countries and car manufacturers to share information to improve road safety

Curated on Posted on by Stefaan Verhulst

Press Release: “EU member states, car manufacturers and navigation systems suppliers will share information on road conditions with the aim of improving road safety. Cora van Nieuwenhuizen, Minister of Infrastructure and Water Management, agreed this today with four other EU countries during the ITS European Congress in Eindhoven. These agreements mean that millions of motorists in the Netherlands will have access to more information on unsafe road conditions along their route.

The data on road conditions that is registered by modern cars is steadily improving. For instance, information on iciness, wrong-way drivers and breakdowns in emergency lanes. This kind of data can be instantly shared with road authorities and other vehicles following the same route. Drivers can then adapt their driving behaviour appropriately so that accidents and delays are prevented….

The partnership was announced today at the ITS European Congress, the largest European event in the fields of smart mobility and the digitalisation of transport. Among other things, various demonstrations were given on how sharing this type of data contributes to road safety. In the year ahead, the car manufacturers BMW, Volvo, Ford and Daimler, the EU member states Germany, the Netherlands, Finland, Spain and Luxembourg, and navigation system suppliers TomTom and HERE will be sharing data. This means that millions of motorists across the whole of Europe will receive road safety information in their car. Talks on participating in the partnership are also being conducted with other European countries and companies.

ADAS

At the ITS congress, Minister Van Nieuwenhuizen and several dozen parties today also signed an agreement on raising awareness of advanced driver assistance systems (ADAS) and their safe use. Examples of ADAS include automatic braking systems, and blind spot detection and lane keeping systems. Using these driver assistance systems correctly makes driving a car safer and more sustainable. The agreement therefore also includes the launch of the online platform “slimonderweg.nl” where road users can share information on the benefits and risks of ADAS.
Minister Van Nieuwenhuizen: “Motorists are often unaware of all the capabilities modern cars offer. Yet correctly using driver assistance systems really can increase road safety. From today, dozens of parties are going to start working on raising awareness of ADAS and improving and encouraging the safe use of such systems so that more motorists can benefit from them.”

Connected Transport Corridors

Today at the congress, progress was also made regarding the transport of goods. For example, at the end of this year lorries on three transport corridors in our country will be sharing logistics data. This involves more than just information on environmental zones, availability of parking, recommended speeds and predicted arrival times at terminals. Other new technologies will be used in practice on a large scale, including prioritisation at smart traffic lights and driving in convoy. Preparatory work on the corridors around Amsterdam and Rotterdam and in the southern Netherlands has started…..(More)”.

Can tracking people through phone-call data improve lives?

Curated on Posted on by Stefaan Verhulst

Amy Maxmen in Nature: “After an earthquake tore through Haiti in 2010, killing more than 100,000 people, aid agencies spread across the country to work out where the survivors had fled. But Linus Bengtsson, a graduate student studying global health at the Karolinska Institute in Stockholm, thought he could answer the question from afar. Many Haitians would be using their mobile phones, he reasoned, and those calls would pass through phone towers, which could allow researchers to approximate people’s locations. Bengtsson persuaded Digicel, the biggest phone company in Haiti, to share data from millions of call records from before and after the quake. Digicel replaced the names and phone numbers of callers with random numbers to protect their privacy.

Bengtsson’s idea worked. The analysis wasn’t completed or verified quickly enough to help people in Haiti at the time, but in 2012, he and his collaborators reported that the population of Haiti’s capital, Port-au-Prince, dipped by almost one-quarter soon after the quake, and slowly rose over the next 11 months1. That result aligned with an intensive, on-the-ground survey conducted by the United Nations.

Humanitarians and researchers were thrilled. Telecommunications companies scrutinize call-detail records to learn about customers’ locations and phone habits and improve their services. Researchers suddenly realized that this sort of information might help them to improve lives. Even basic population statistics are murky in low-income countries where expensive household surveys are infrequent, and where many people don’t have smartphones, credit cards and other technologies that leave behind a digital trail, making remote-tracking methods used in richer countries too patchy to be useful.

Since the earthquake, scientists working under the rubric of ‘data for good’ have analysed calls from tens of millions of phone owners in Pakistan, Bangladesh, Kenya and at least two dozen other low- and middle-income nations. Humanitarian groups say that they’ve used the results to deliver aid. And researchers have combined call records with other information to try to predict how infectious diseases travel, and to pinpoint locations of poverty, social isolation, violence and more (see ‘Phone calls for good’)….(More)”.

A Symphony, Not a Solo: How Collective Management Organisations Can Embrace Innovation and Drive Data Sharing in the Music Industry

Curated on Posted on by Stefaan Verhulst

Paper by David Osimo, Laia Pujol Priego, Turo Pekari and Ano Sirppiniemi: “…data is becoming a fundamental source of competitive advantage in music, just as in other sectors, and streaming services in particular are generating large volume of new data offering unique insight around customer taste and behavior. (As Financial Times recently put it, the music
industry is having its “moneyball” moment) But how are the different players getting ready for this change?

This policy brief aims to look at the question from the perspective of CMOs, the organisations charged with redistributing royalties from music users to music rightsholders (such as musical authors and publishers).

The paper is divided in three sections. Part I will look at the current positioning of CMOs in this new data-intensive ecosystem. Part II will discuss how greater data sharing and reuse can maximize innovation, comparing the music industries with other industries. Part III will make policy and business-model reform recommendations for CMOs to stimulate data-driven innovation, internally and in the industry as a whole….(More)”

Airbnb and New York City Reach a Truce on Home-Sharing Data

Curated on Posted on by Stefaan Verhulst

Paris Martineau at Wired: “For much of the past decade, Airbnb and New York City have been embroiled in a high-profile feud. Airbnb wants legitimacy in its biggest market. City officials want to limit home-sharing platforms, which they argue exacerbate the city’s housing crisis and pose safety risks by allowing people to transform homes into illegal hotels.

Despite years of lawsuits, countersuits, lobbying campaigns, and failed attempts at legislation, progress on resolving the dispute has been incremental at best. The same could be said for many cities around the nation, as local government officials struggle to come to grips with the increasing popularity of short-term rental platforms like Airbnb, HomeAway, and VRBO in high-tourism areas.

In New York last week, there were two notable breaks in the logjam. On May 14, Airbnb agreed to give city officials partially anonymized host and reservation data for more than 17,000 listings. Two days later, a judge ordered Airbnb to turn over more detailed and nonanonymized information on dozens of hosts and hundreds of guests who have listed or stayed in more than a dozen buildings in Manhattan, Brooklyn, and Queens in the past seven years.

In both cases, the information will be used by investigators with the Mayor’s Office of Special Enforcement to identify hosts and property owners who may have broken the city’s notoriously strict short-term rental laws by converting residences into de facto hotels by listing them on Airbnb.

City officials originally subpoenaed Airbnb for the data—not anonymized—on the more than 17,000 listings in February. Mayor Bill de Blasio called the move an effort to force the company to “come clean about what they’re actually doing in this city.” The agreement outlining the data sharing was signed as a compromise on May 14, according to court records.

In addition to the 17,000 listings identified by the city, Airbnb will also share data on every listing rented through its platform between January 1, 2018, and February 18, 2019, that could have potentially violated New York’s short-term rental laws. The city prohibits rentals of an entire apartment or home for less than 30 days without the owner present in the unit, making many stays traditionally associated with services like Airbnb, HomeAway, and VRBO illegal. Only up to two guests are permitted in the short-term rental of an apartment or room, and they must be given “free and unobstructed access to every room and to each exit within the apartment,” meaning hosts can’t get around the ban on whole-apartment rentals by renting out three separate private rooms at once….(More)”.

What can we learn from billions of food purchases derived from fidelity cards?

Curated on Posted on by Stefaan Verhulst

Daniele Quercia at Medium: “By combining 1.6B food item purchases with 1.1B medical prescriptions for the entire city of London for one year, we discovered that, to predict health outcomes, socio-economic conditions matter less than what previous research has shown: despite being of lower-income, certain areas are healthy, and that is because of what their residents eat!

This result comes from our latest project “Poor but Healthy”, which was published in the Springer European Physical Journal (EPJ) of Data Science this month, and comes with a @tobi_vierzwo’s stunningly beautiful map of London I invite all of you to explore.

Why are we interested in urban health? In our cities, food is cheap and exercise discretionary, and health takes its toll. Half of European citizens will be obese by 2050, and obesity and its diseases are likely to reach crisis proportions. In this project, we set out to show that fidelity cards of grocery stores represent a treasure trove of health data — they can be used not only to (e)mail discount coupons to customers but also to effectively track a neighbourhood’s health in real-time for an entire city or even an entire country.

In research circles, the impact of eating habits on people’s health has mostly been studied using dietary surveys, which are costly and of limited scale.

To complement these surveys, we have recently resorted to grocery fidelity cards. We analyzed the anonymized records of 1.6B grocery items purchased by 1.6M grocery store customers in London over one whole year, and combined them with 1.1B medical prescriptions.

In so doing, we found that, as one expects, the “trick” to not being associated with chronic diseases is eating less what we instinctively like (e.g., sugar, carbohydrates), balancing all the nutrients, and avoiding the (big) quantities that are readily available. These results come as no surprise yet speak to the validity of using fidelity cards to capture health outcomes…(More)”.


Data to the rescue

Curated on Posted on by Stefaan Verhulst

Podcast by Kenneth Cukier: “Access to the right data can be as valuable in humanitarian crises as water or medical care, but it can also be dangerous. Misused or in the wrong hands, the same information can put already vulnerable people at further risk. Kenneth Cukier hosts this special edition of Babbage examining how humanitarian organisations use data and what they can learn from the profit-making tech industry. This episode was recorded live from Wilton Park, in collaboration with the United Nations OCHA Centre for Humanitarian Data…(More)”.

Data Collaboration for the Common Good: Enabling Trust and Innovation Through Public-Private Partnerships

Curated on Posted on by Stefaan Verhulst

World Economic Forum Report: “As the digital technologies of the Fourth Industrial Revolution continue to drive change throughout all sectors of the global economy, a unique moment exists to create a more inclusive, innovative and resilient society. Central to this change is the use of data. It is abundantly available but if improperly used will be the source of dangerous and unwelcome results.

When data is shared, linked and combined across sectoral and institutional boundaries, a multiplier effect occurs. Connecting one bit with another unlocks new insights and understandings that often weren’t anticipated. Yet, due to commercial limits and liabilities, the full value of data is often unrealized. This is particularly true when it comes to using data for the common good. While public-private data collaborations represent an unprecedented opportunity to address some of the world’s most urgent and complex challenges, they have generally been small and limited in impact. An entangled set of legal, technical, social, ethical and commercial risks have created an environment where the incentives for innovation have stalled. Additionally, the widening lack of trust among individuals and institutions creates even more uncertainty. After nearly a decade of anticipation on the promise of public-private data collaboration – with relatively few examples of success at global scale – a pivotal moment has arrived to encourage progress and move forward….(More)”

(See also http://datacollaboratives.org/).

Data Trusts, Health Data, and the Professionalization of Data Management

Curated on Posted on by Stefaan Verhulst

Paper by Keith Porcaro: “This paper explores how trusts can provide a legal model for professionalizing health data management. Data is potential. Over time, data collected for one purpose can support others. Clinical records at a hospital, created to manage a patient’s care, can be internally analyzed to identify opportunities for process and safety improvements at a hospital, or externally analyzed with other records to identify optimal treatment patterns. Data also carries the potential for harm. Personal data can be leaked or exposed. Proprietary models can be used to discriminate against patients, or price them out of care.

As novel uses of data proliferate, an individual data holder may be ill-equipped to manage complex new data relationships in a way that maximizes value and minimizes harm. A single organization may be limited by management capacity or risk tolerance. Organizations across sectors have digitized unevenly or late, and may not have mature data controls and policies. Collaborations that involve multiple organizations may face coordination problems, or disputes over ownership.

Data management is still a relatively young field. Most models of external data-sharing are based on literally transferring data—copying data between organizations, or pooling large datasets together under the control of a third party—rather than facilitating external queries of a closely held dataset.

Few models to date have focused on the professional management of data on behalf of a data holder, where the data holder retains control over not only their data, but the inferences derived from their data. Trusts can help facilitate the professionalization of data management. Inspired by the popularity of trusts for managing financial investments, this paper argues that data trusts are well-suited as a vehicle for open-ended professional management of data, where a manager’s discretion is constrained by fiduciary duties and a trust document that defines the data holder’s goals…(More)”.

We’ll soon know the exact air pollution from every power plant in the world. That’s huge.

Curated on Posted on by Stefaan Verhulst

David Roberts at Vox: “A nonprofit artificial intelligence firm called WattTime is going to use satellite imagery to precisely track the air pollution (including carbon emissions) coming out of every single power plant in the world, in real time. And it’s going to make the data public.

This is a very big deal. Poor monitoring and gaming of emissions data have made it difficult to enforce pollution restrictions on power plants. This system promises to effectively eliminate poor monitoring and gaming of emissions data….

The plan is to use data from satellites that make theirs publicly available (like the European Union’s Copernicus network and the US Landsat network), as well as data from a few private companies that charge for their data (like Digital Globe). The data will come from a variety of sensors operating at different wavelengths, including thermal infrared that can detect heat.

The images will be processed by various algorithms to detect signs of emissions. It has already been demonstrated that a great deal of pollution can be tracked simply through identifying visible smoke. WattTime says it can also use infrared imaging to identify heat from smokestack plumes or cooling-water discharge. Sensors that can directly track NO2 emissions are in development, according to WattTime executive director Gavin McCormick.

Between visible smoke, heat, and NO2, WattTime will be able to derive exact, real-time emissions information, including information on carbon emissions, for every power plant in the world. (McCormick says the data may also be used to derive information about water pollutants like nitrates or mercury.)

Google.org, Google’s philanthropic wing, is getting the project off the ground (pardon the pun) with a $1.7 million grant; it was selected through the Google AI Impact Challenge….(More)”.

The EU Wants to Build One of the World’s Largest Biometric Databases. What Could Possibly Go Wrong?

Curated on Posted on by Stefaan Verhulst

Grace Dobush at Fortune: “China and India have built the world’s largest biometric databases, but the European Union is about to join the club.

The Common Identity Repository (CIR) will consolidate biometric data on almost all visitors and migrants to the bloc, as well as some EU citizens—connecting existing criminal, asylum, and migration databases and integrating new ones. It has the potential to affect hundreds of millions of people.

The plan for the database, first proposed in 2016 and approved by the EU Parliament on April 16, was sold as a way to better track and monitor terrorists, criminals, and unauthorized immigrants.

The system will target the fingerprints and identity data for visitors and immigrants initially, and represents the first step towards building a truly EU-wide citizen database. At the same time, though, critics argue its mere existence will increase the potential for hacks, leaks, and law enforcement abuse of the information….

The European Parliament and the European Council have promised to address those concerns, through “proper safeguards” to protect personal privacy and to regulate officers’ access to data. In 2016, they passed a law regarding law enforcement’s access to personal data, alongside General Data Protection Regulation or GDPR.

But total security is a tall order. Germany is currently dealing with multipleinstances of police officers allegedly leaking personal information to far-right groups. Meanwhile, a Swedish hacker went to prison for hacking into Denmark’s public records system in 2012 and dumping online the personal data of hundreds of thousands of citizens and migrants….(More)”.