Commission tells carriers to hand over mobile data in coronavirus fight

Curated on Posted on by Stefaan Verhulst

Mark Scott, Laurens Cerulus and Laura Kayali at Politico: “The European Commission on Monday urged Europe’s telecoms giants including Deutsche Telekom and Orange to share reams of people’s mobile data from across the region to help predict the spread of the coronavirus.

In a conference call with telecoms executives, Thierry Breton, Europe’s internal market commissioner, called on the companies to hand over anonymized and aggregated data from people’s mobile phones to track how the virus was spreading, according to three people with direct knowledge of the matter who spoke on the condition of anonymity because they were not authorized to speak publicly.

The draft plans would allow the Commission — and not the carriers — to manage how the data was used, and give EU officials control over so-called metadata on hundreds of millions of people’s mobile phones. That represents a significant step for Brussels as it would make the EU executive liable for any hefty fines if the digital information was hacked or misused.

Speaking to POLITICO, Breton confirmed the request to carriers, adding that the Commission needed such aggregated metadata to track the spread of the virus and determine where people’s need for medical supplies was the most pressing.

“We will select one big operator by country,” Breton said. “We want to be very fast and follow this on a daily basis.”

The Commission insisted the operation would respect the bloc’s privacy rules, known as the General Data Protection Regulation, and e-privacy legislation. The European Data Protection Supervisor would also be involved, the EU executive added. ..

In recent weeks, mobile operators have started to share anonymized data with EU governments in response to the spread of COVID-19. Carriers involved in the discussions with the Commission said Breton’s request would likely include providing the same type of data, and would have to respect the region’s tough privacy rules….

By aiming to pool large amounts of European mobile data, the Commission is following in the footsteps of national agencies, many of which are already working with carriers to track the spread of the virus through such anonymized digital information.

In Norway, local researchers saw a 60 percent decline in people traveling between cities after a countrywide lockdown was introduced — figures that were taken from people’s mobile phone data provided by Telenor, the national carrier.

Yet as the crisis has continued, countries such as Spain and Poland have gone a step further by creating smartphone apps, which offer an even greater ability to track and monitor people’s movements compared to anonymized mobile data. In the U.K., an app is in the works but has not yet launched….(More)”.

Data Reveals the True Impact of the Coronavirus Outbreak

Curated on Posted on by Stefaan Verhulst

Gian Volpicelli at Wired: “Something was wrong with Malaysia’s internet. It was March 13, and the more Simon Angus looked at the data, the more he suspected that the country might be in the midst of a coronavirus crisis.

Angus is an academic at Monash University and the cofounder of Kaspr Datahaus, a Melbourne-based company that analyses the quality of global internet connection to glean economic and social insights. The company monitors millions of internet-connected devices to gauge internet speed across the world. For them, a sudden deterioration in a country’s internet speed means that something is putting the network under strain. In recent weeks Kaspr’s theory is that the “something” is linked to the Covid-19 epidemics – as people who are working from home, or quarantining, or staying home as a precaution start using the internet more intensely than usual.

“For people who are in lockdown, or in panic mode, or in self-isolation, the internet has become a fundamentally important part of their information source, and of their consumption of entertainment,” Angus says.

To put it bluntly, when millions more turn on Netflix, scroll through TikTok, start a Zoom call, play Fortnite, or simply scroll idly through Twitter, that has repercussions on the quality of the country’s internet. (That is why EU commissioner Thierry Breton asked Netflix to restrict high-definition streaming until the emergency is over.)

Now, Angus’ scanning had detected that Malaysia’s internet had become over five percent slower in the March 12 to 13 timespan—worse even than in locked-down Italy. Officially, though, Malaysia had only 129 confirmed coronavirus cases—a relatively low number, although it had been inching up for a week.

What was happening, though, was that the population was cottoning on to the government’s sloppy handling of the pandemic. In late February, in what would turn out to be a monumental blunder, authorities had allowed a religious mass gathering to go ahead in Kuala Lumpur. Once Covid-19 cases linked to the event started to emerge, the government scrambled to find all the attendees, but got the numbers wrong—first saying that only 5,000 people at the gathering were Malaysia residents, then updating the figure to 10,000 and then 14,500. With the mess laid bare, many Malaysians seemed to have decided to stay at home out of sheer self-preservation…(More)”.

Global Data Access for Solving Rare Disease: A Health Economics Value Framework

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WEF Report: “…The genomic nature of rare disease suggests an opportunity. By bringing together genomic, phenotypic, and clinical data at a global scale, individual countries and hospitals carrying out genomics research could come up with more answers both to diagnose currently undiagnosed or misdiagnosed people with rare disease and to develop treatments.

With an estimated 15.2 million individuals expected to have clinical genomic testing for a rare condition within the next five years, it is time to evaluate the economic and societal benefits of developing a system that can share this data without compromising privacy.

The answer is a technical solution called a “federated data system”. This is a data superstructure that can aggregate remote data sets for querying while still allowing for localized, data control and security. The groupings are independent, but interoperable. They have their own governance and the information inside them is protected, but they offer evidence – conclusions gathered from the data – that can be used to feed a much larger, global data engine.

The result is a robust and well-annotated dataset that in the case of rare diseases can be added to and then used by different countries to enable global and country-specific solutions to diagnosis, treatment, patient trial recruitment and management of rare diseases. Developing federated data systems is one of the many investments countries are currently considering. Yet since its implementation can be costly (about half a million US dollars) is it the right solution?…(More)”.

Toward Building The Data Infrastructure And Ecosystem We Need To Tackle Pandemics And Other Dynamic Societal And Environmental Threats

Curated on Posted on by Stefaan Verhulst

CALL FOR ACTION: “The spread of COVID-19 is a human tragedy and a worldwide crisis. The social and economic costs are huge, and they are contributing to a global slowdown. Despite the amount of data collected daily, we have not been able to leverage them to accelerate our understanding and action to counter COVID-19. As a result we have entered a global state of profound uncertainty and anxiety.

The current pandemic has not only shown vulnerabilities in our public health systems but has also made visible our failure to re-use data between the public and private sectors — what we call data collaboratives — to inform decision makers how to fight dynamic threats like the novel Coronavirus.

We have known for years that the re-use of aggregated and anonymized data — including from telecommunications, social media, and satellite feeds — can improve traditional models for tracking disease propagation. Telecommunications data has, for instance, been re-used to support the response to Ebola in Africa (Orange) and swine flu in Mexico (Telefónica). Social media data has been re-used to understand public perceptions around Zika in Brazil (Facebook). Satellite data has been used to track seasonal measles in Niger using nighttime lights. Geospatial data has similarly supported malaria surveillance and eradication efforts in Sub-Saharan Africa. In general, many infectious diseases have been monitored using mobile phones and mobility.

The potential and realized contributions of these and other data collaboratives reveal that the supply of and demand for data and data expertise are widely dispersed. They are spread across government, the private sector, and civil society and often poorly matched.

Much data needed by researchers is never made accessible to those who could productively put it to use while much data that is released is never used in a systematic and sustainable way during and post crisis.

This failure results in tremendous inefficiencies and costly delays in how we respond. It means lost opportunities to save lives and a persistent lack of preparation for future threats….(More)”. SIGN AND JOIN HERE.

See also Living Repository of Data4COVID19 Collaboratives.

Like Zika, The Public Is Heading To Wikipedia During The COVID-19 Coronavirus Pandemic

Curated on Posted on by Stefaan Verhulst

Farah Qaiser at Forbes: “A new study out in the PLOS Computational Biology journal shows that public attention in the midst of the Zika virus epidemic was largely driven by media coverage, rather than the epidemic’s magnitude or extent, highlighting the importance of mass media coverage when it comes to public health. This is reflected in the ongoing COVID-19 situation, where to date, the main 2019–20 coronavirus pandemic Wikipedia page has over ten million page views.

The 2015-2016 Zika virus epidemic began in Northeastern Brazil, and spread across South and North America. The Zika virus was largely spread by infected Aedes mosquitoes, where symptoms included a fever, headache, itching, and muscle pain. It could also be transmitted between pregnant women and their fetuses, causing microcephaly, where a baby’s head was much smaller than expected.

Similar to the ongoing COVID-19 situation, the media coverage around the Zika virus epidemic shaped public opinion and awareness.

“We knew that it was relevant, and very important, for public health to understand how the media and news shapes the attention of [the] public during epidemic outbreaks,” says Michele Tizzoni, a principal investigator based at the Institute for Scientific Interchange (ISI) Foundation. …

Today, the 2019–20 coronavirus pandemic Wikipedia page has around ten million page views. As per Toby Negrin, the Wikimedia Foundation’s Chief Product Officer, this page has been edited over 12K times by nearly 1,900 different editors. The page is currently semi-protected – a common practice for Wikipedia pages that are relevant to current news stories.

In an email, Negrin shared that “the day after the World Health Organization classified COVID-19 as a pandemic on March 11th, the main English Wikipedia article about the pandemic had nearly 1.1 million views, an increase of nearly 30% from the day before the WHO’s announcement (on March 10th, it had just over 809,000 views).” This is similar to the peaks in Wikipedia attention observed when official announcements took place during the Zika virus epidemic.

In addition, initial data from Tizzoni’s research group shows that the lockdown in Italy has resulted in a 50% or more decrease in movement between provinces. Similarly, Negrin notes that since the national lockdown in Italy, “total pageviews from Italy to all Wikimedia projects increased by nearly 30% over where they were at the same time last year.”

With increased public awareness during epidemics, tackling misinformation is critical. This remains important at Wikipedia.

“When it comes to documenting current events on Wikipedia, volunteers take even greater care to get the facts right,” stated Negrin, and pointed out that there is a page dedicated to misinformation during this pandemic, which has received over half a million views….(More)”.

CARE Principles for Indigenous Data Governance

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The Global Indigenous Data Alliance: “The current movement toward open data and open science does not fully engage with Indigenous Peoples rights and interests. Existing principles within the open data movement (e.g. FAIR: findable, accessible, interoperable, reusable) primarily focus on characteristics of data that will facilitate increased data sharing among entities while ignoring power differentials and historical contexts. The emphasis on greater data sharing alone creates a tension for Indigenous Peoples who are also asserting greater control over the application and use of Indigenous data and Indigenous Knowledge for collective benefit.

This includes the right to create value from Indigenous data in ways that are grounded in Indigenous worldviews and realise opportunities within the knowledge economy. The CARE Principles for Indigenous Data Governance are people and purpose-oriented, reflecting the crucial role of data in advancing Indigenous innovation and self-determination. These principles complement the existing FAIR principles encouraging open and other data movements to consider both people and purpose in their advocacy and pursuits….(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).

Wanted: Data Stewards: (Re-)Defining The Roles and Responsibilities of Data Stewards for an Age of Data Collaboration

Curated on Posted on by Stefaan Verhulst
Wanted: Data Stewards: (Re-)Defining The Roles and Responsibilities of Data Stewards for an Age of Data Collaboration

Stefaan G. Verhulst, Andrew Zahuranec, Andrew Young and Michelle Winowatan at Data & Policy: “As data grows increasingly prevalent in our economy, it is increasingly clear, too, that tremendous societal value can be derived from reusing and combining previously separate datasets. One avenue that holds particular promise are data collaboratives. Data collaboratives are a new form of partnership in which data (such as data owned by corporations) or data expertise is made accessible for external parties (such as academics or statistical offices) working in the public interest. By bringing together a wide range of inter-sectoral expertise to bear on the data, collaboration can result in new insights and innovations, and can help unlock the public good potential of previously siloed data or expertise.

Yet, not all data collaboratives are successful or go beyond pilots. Based on research and analysis of hundreds of data collaboratives, one factor seems to stand out as determinative of success above all others — whether there exist individuals or teams within data-holding organizations who are empowered to proactively initiate, facilitate and coordinate data collaboratives toward the public interest. We call these individuals and teams “data stewards.”

They systematize the process of partnering, and help scale efforts when there are fledgling signs of success. Data stewards are essential for accelerating the re-use of data in the public interest by providing functional access, and more generally, to unlock the potential of our data age. Data stewards form an important — and new — link in the data value chain.

In its final report, the European Commission’s High-Level Expert Group on Business-to-Government (B2G) Data Sharing also noted the need for data stewards to enable responsible, accountable data sharing for the public interest. In their report, they write:

“A key success factor in setting up sustainable and responsible B2G partnerships is the existence, within both public- and private-sector organisations, of individuals or teams that are empowered to proactively initiate, facilitate and coordinate B2G data sharing when necessary. As such, ‘data stewards’ should become a recognised function.”

The report goes on further to acknowledge the need to scope, design, and establish a network or a community of practice around data stewardship.

Wanted: Data Stewards

A new position paper, released by The GovLab within the context of the UN Statistical Commission High-Level Forum on Official Statistics which focused on “Data stewardship — a solution for official statistics’ predicament?” seeks to begin that work. The paper, titled “Wanted: Data Stewards: (Re-)Defining The Roles and Responsibilities of Data Stewards for an Age of Data Collaboration” tackles questions regarding the profile and potential of data stewards. It aims to provide an operational roadmap to support the implementation (or expansion) of data stewardship functions in public- and private-sector entities; and to start building a community of expertise.

Moreover, it addresses the tendency to conflate the roles of data stewards with those of individuals or groups who might better be described as chief privacy, chief data or chief security officers. This slippage is perhaps understandable, we need to redefine the role that is somewhat broader. While data management, privacy and security are key components of trusted and effective data collaboratives, the real goal is to re-use data for broader social goals (while preventing any potential harms that may result from sharing).

In particular the position paper — which captures lived experience of numerous data stewards- seeks to provide more clarity on how data stewards can accomplish these duties by:

  • Defining the responsibilities of a data steward; and
  • Identifying the roles which a data steward must fill to achieve these responsibilities…(More)”.

Is Your Data Being Collected? These Signs Will Tell You Where

Curated on Posted on by Stefaan Verhulst

Flavie Halais at Wired: “Alphabet’s Sidewalk Labs is testing icons that provide “digital transparency” when information is collected in public spaces….

As cities incorporate digital technologies into their landscapes, they face the challenge of informing people of the many sensors, cameras, and other smart technologies that surround them. Few people have the patience to read through the lengthy privacy notice on a website or smartphone app. So how can a city let them know how they’re being monitored?

Sidewalk Labs, the Google sister company that applies technology to urban problems, is taking a shot. Through a project called Digital Transparency in the Public Realm, or DTPR, the company is demonstrating a set of icons, to be displayed in public spaces, that shows where and what kinds of data are being collected. The icons are being tested as part Sidewalk Labs’ flagship project in Toronto, where it plans to redevelop a 12-acre stretch of the city’s waterfront. The signs would be displayed at each location where data would be collected—streets, parks, businesses, and courtyards.

Data collection is a core feature of the project, called Sidewalk Toronto, and the source of much of the controversy surrounding it. In 2017, Waterfront Toronto, the organization in charge of administering the redevelopment of the city’s eastern waterfront, awarded Sidewalk Labs the contract to develop the waterfront site. The project has ambitious goals: It says it could create 44,000 direct jobs by 2040 and has the potential to be the largest “climate-positive” community—removing more CO2 from the atmosphere than it produces—in North America. It will make use of new urban technology like modular street pavers and underground freight delivery. Sensors, cameras, and Wi-Fi hotspots will monitor and control traffic flows, building temperature, and crosswalk signals.

All that monitoring raises inevitable concerns about privacy, which Sidewalk aims to address—at least partly—by posting signs in the places where data is being collected.

The signs display a set of icons in the form of stackable hexagons, derived in part from a set of design rules developed by Google in 2014. Some describe the purpose for collecting the data (mobility, energy efficiency, or waste management, for example). Others refer to the type of data that’s collected, such as photos, air quality, or sound. When the data is identifiable, meaning it can be associated with a person, the hexagon is yellow. When the information is stripped of personal identifiers, the hexagon is blue…(More)”.

Eurobarometer survey shows support for sustainability and data sharing

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Press Release: “Europeans want their digital devices to be easier to repair or recycle and are willing to share their personal information to improve public services, as a special Eurobarometer survey shows. The survey, released today, measured attitudes towards the impact of digitalisation on daily lives of Europeans in 27 EU Member States and the United Kingdom. It covers several different areas including digitalisation and the environment, sharing personal information, disinformation, digital skills and the use of digital ID….

Overall, 59% of respondents would be willing to share some of their personal information securely to improve public services. In particular, most respondents are willing to share their data to improve medical research and care (42%), to improve the response to crisis (31%) or to improve public transport and reduce air pollution (26%).

An overwhelming majority of respondents who use their social media accounts to log in to other online services (74%) want to know how their data is used. A large majority would consider it useful to have a secure single digital ID that could serve for all online services and give them control over the use of their data….

In addition to the Special Eurobarometer report, the last iteration of the Standard Eurobarometer conducted in November 2019 also tested public perceptions related to Artificial Intelligence. The findings also published in a separate report today.

Around half of the respondents (51%) said that public policy intervention is needed to ensure ethical applications. Half of the respondents (50%) mention the healthcare sector as the area where AI could be most beneficial. A strong majority (80%) of the respondents think that they should be informed when a digital service or mobile application uses AI in various situations….(More)”.