22 Questions to Assess Responsible Data for Children (RD4C)


An Audit Tool by The GovLab and UNICEF: “Around the world and across domains, institutions are using data to improve service delivery for children. Data for and about children can, however, pose risks of misuse, such as unauthorized access or data breaches, as well as missed use of data that could have improved children’s lives if harnessed effectively. 

The RD4C Principles — Participatory; Professionally Accountable; People-Centric; Prevention of Harms Across the Data Life Cycle; Proportional; Protective of Children’s Rights; and Purpose-Driven — were developed by the GovLab and UNICEF to guide responsible data handling toward saving children’s lives, defending their rights, and helping them fulfill their potential from early childhood through adolescence. These principles were developed to act as a north star, guiding practitioners toward more responsible data practices.

Today, The GovLab and UNICEF, as part of the Responsible Data for Children initiative (RD4C), are pleased to launch a new tool that aims to put the principles into practice. 22 Questions to Assess Responsible Data for Children (RD4C) is an audit tool to help stakeholders involved in the administration of data systems that handle data for and about children align their practices with the RD4C Principles. 

The tool encourages users to reflect on their data handling practices and strategy by posing questions regarding: 

  • Why: the purpose and rationale for the data system;
  • What: the data handled through the system; 
  • Who: the stakeholders involved in the system’s use, including data subjects;
  • How: the presence of operations, policies, and procedures; and 
  • When and where: temporal and place-based considerations….(More)”.
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Not all data are created equal -Data sharing and privacy


Paper by Michiel Bijlsma, Carin van der Cruijsen and Nicole Jonker: “The COVID-19 pandemic has increased our online presence and unleashed a new discussion on sharing sensitive personal data. Upcoming European legislation will facilitate data sharing in several areas, following the lead of the revised payments directive (PSD2), which enables payments data sharing with third parties. However, little is known about what drives consumers’ preferences with different types of data, as preferences may differ according to the type of data, type of usage or type of firm using the data.

Using a discrete-choice survey approach among a representative group of Dutch consumers, we find that next to health data, people are hesitant to share their financial data on payments, wealth and pensions, compared to other types of consumer data. Second, consumers are especially cautious about sharing their data when they are not used anonymously. Third, consumers are more hesitant to share their data with BigTechs, webshops and insurers than they are with banks. Fourth, a financial reward can trigger data sharing by consumers. Last, we show that attitudes towards data usage depend on personal characteristics, consumers’ digital skills, online behaviour and their trust in the firms using the data…(More)”

Conceptual and normative approaches to AI governance for a global digital ecosystem supportive of the UN Sustainable Development Goals (SDGs)


Paper by Amandeep S. Gill & Stefan Germann: “AI governance is like one of those mythical creatures that everyone speaks of but which no one has seen. Sometimes, it is reduced to a list of shared principles such as transparency, non-discrimination, and sustainability; at other times, it is conflated with specific mechanisms for certification of algorithmic solutions or ways to protect the privacy of personal data. We suggest a conceptual and normative approach to AI governance in the context of a global digital public goods ecosystem to enable progress on the UN Sustainable Development Goals (SDGs). Conceptually, we propose rooting this approach in the human capability concept—what people are able to do and to be, and in a layered governance framework connecting the local to the global. Normatively, we suggest the following six irreducibles: a. human rights first; b. multi-stakeholder smart regulation; c. privacy and protection of personal data; d. a holistic approach to data use captured by the 3Ms—misuse of data, missed use of data and missing data; e. global collaboration (‘digital cooperation’); f. basing governance more in practice, in particular, thinking separately and together about data and algorithms. Throughout the article, we use examples from the health domain particularly in the current context of the Covid-19 pandemic. We conclude by arguing that taking a distributed but coordinated global digital commons approach to the governance of AI is the best guarantee of citizen-centered and societally beneficial use of digital technologies for the SDGs…(More)”.

How the Data Revolution Will Help the World Fight Climate Change


Article by Robert Muggah and Carlo Ratti: “…The rapidly increasing volume and variety of Big Data collected in cities—whose potential has barely been tapped—can help solve the pressing need for actionable insight. For one, it can be used to track the climate crisis as it happens. Collected in real-time and in high resolution, data can serve as an interface between aspirational goals and daily implementation. Take the case of mobility, a key contributor to carbon, nitrogen, and particulate emissions. A wealth of data from fixed sensors, outdoor video footage, navigation devices, and mobile phones could be processed in real time to classify all modes of city transportation. This can be used to generate granular knowledge of which vehicles—from gas-guzzling SUVs to electric bikes—are contributing to traffic and emissions in a given hour, day, week, or month. This kind of just-in-time analytics can inform agile policy adjustments: Data showing too many miles driven by used diesel vehicles might indicate the need for more targeted car buyback programs while better data about bike use can bolster arguments for dedicated lanes and priority at stoplights.

Data-driven analytics are already improving energy use efficiency in buildings, where heating, cooling, and electricity use are among the chief culprits of greenhouse gas emissions. It is now possible to track spatial and temporal electricity consumption patterns inside commercial and residential properties with smart meters. City authorities can use them to monitor which buildings are using the most power and when. This kind of data can then be used to set incentives to reduce consumption and optimize energy distribution over a 24-hour period. Utilities can charge higher prices during peak usage hours that put the most carbon-intensive strain on the grid. Although peak pricing strategies have existed for decades, data abundance and advanced computing could now help utilities make use of their full potential. Likewise, thermal cameras in streets can identify buildings with energy leaks, especially during colder periods. Tenants can use this data to replace windows or add insulation, substantially reducing their utility bills while also contributing to local climate action.

The data revolution is being harnessed by some cities to hasten the energy transition. A good example of this is the Helsinki Hot Heart proposal that recently won a city-wide energy challenge (and which one of our firms—Carlo Ratti Associati—is involved in). Helsinki currently relies on a district heating system powered by coal power plants that are expected to be phased out by 2030. A key question is whether it is possible to power the city using intermittent renewable energy sources. The project proposes giant water basins, floating off the shore in the Baltic Sea, that act as insulated thermal batteries to accumulate heat during peak renewable production, releasing it through the district heating system. This is only possible through a fine-tuned collection of sensors, algorithms, and actuators. Relying on the flow of water and bytes, Helsinki Hot Hearth would offer a path to digital physical systems that could take cities like Helsinki to a sustainable, data-driven future….(More)”.

The “9Rs Framework”: Establishing the Business Case for Data Collaboration and Re-Using Data in the Public Interest


Article by Stefaan G. Verhulst, Andrew Young, and Andrew J. Zahuranec: “When made accessible and re-used responsibly, privately held data has the potential to generate enormous public value. Whether it’s enabling better science, supporting evidence-based government programs, or helping community groups to identify people who need help, data can be used to make better public interest decisions and improve people’s lives.

Yet, for all the discussion of the societal value of having organizations provide access to their data, there’s been little discussion of the business case on why to make data available for reuse. What motivates an organization to make its datasets accessible for societal purposes? How does doing so support their organizational goals? What’s the return on investment of using organizational resources to make data available to others?

GRAPHIC: The 9Rs Framework: The Business Case for Data Reuse in the Public Interest

The Open Data Policy Lab addresses these questions with its “9R Framework,” a method for describing and identifying the business case for data reuse for the public good. The 9R Framework consists of nine motivations identified through several years of studying and establishing data collaboratives, categorized by different types of return on investment: license to operate, brand equity, or knowledge and insights. Considered together, these nine motivations add up to a model to help organizations understand the business value of making their data assets accessible….(More)”.

Towards Efficient Information Sharing in Network Markets


Paper by Bertin Martens, Geoffrey Parker, Georgios Petropoulos and Marshall W. Van Alstyne: “Digital platforms facilitate interactions between consumers and merchants that allow the collection of profiling information which drives innovation and welfare. Private incentives, however, lead to information asymmetries resulting in market failures both on-platform, among merchants, and off-platform, among competing platforms. This paper develops two product differentiation models to study private and social incentives to share information within and between platforms. We show that there is scope for ex-ante regulation of mandatory data sharing that improves social welfare better than competing interventions such as barring entry, break-up, forced divestiture, or limiting recommendation steering. These alternate proposals do not make efficient use of information. We argue that the location of data access matters and develop a regulatory framework that introduces a new data right for platform users, the in-situ data right, which is associated with positive welfare gains. By construction, this right enables effective information sharing, together with its context, without reducing the value created by network effects. It also enables regulatory oversight but limits data privacy leakages. We discuss crucial elements of its implementation in order to achieve innovation-friendly and competitive digital markets…(More)”.

Can digital technologies improve health?


The Lancet: “If you have followed the news on digital technology and health in recent months, you will have read of a blockbuster fraud trial centred on a dubious blood-testing device, a controversial partnership between a telehealth company and a data analytics company, a social media company promising action to curb the spread of vaccine misinformation, and another addressing its role in the deteriorating mental health of young women. For proponents and critics alike, these stories encapsulate the health impact of many digital technologies, and the uncertain and often unsubstantiated position of digital technologies for health. The Lancet and Financial Times Commission on governing health futures 2030: growing up in a digital world, brings together diverse, independent experts to ask if this narrative can still be turned around? Can digital technologies deliver health benefits for all?

Digital technologies could improve health in many ways. For example, electronic health records can support clinical trials and provide large-scale observational data. These approaches have underpinned several high-profile research findings during the COVID-19 pandemic. Sequencing and genomics have been used to understand SARS-CoV-2 transmission and evolution. There is vast promise in digital technology, but the Commission argues that, overall, digital transformations will not deliver health benefits for all without fundamental and revolutionary realignment.

Globally, digital transformations are well underway and have had both direct and indirect health consequences. Direct effects can occur through, for example, the promotion of health information or propagating misinformation. Indirect ones can happen via effects on other determinants of health, including social, economic, commercial, and environmental factors, such as influencing people’s exposure to marketing or political messaging. Children and adolescents growing up in this digital world experience the extremes of digital access. Young people who spend large parts of their lives online may be protected or vulnerable to online harm. But many individuals remain digitally excluded, affecting their access to education and health information. Digital access, and the quality of that access, must be recognised as a key determinant of health. The Commission calls for connectivity to be recognised as a public good and human right.

Describing the accumulation of data and power by dominant actors, many of which are commercial, the Commissioners criticise business models based on the extraction of personal data, and those that benefit from the viral spread of misinformation. To redirect digital technologies to advance universal health coverage, the Commission invokes the guiding principles of democracy, equity, solidarity, inclusion, and human rights. Governments must protect individuals from emerging threats to their health, including bias, discrimination, and online harm to children. The Commission also calls for accountability and transparency in digital transformations, and for the governance of misinformation in health care—basic principles, but ones that have been overridden in a quest for freedom of expression and by the fear that innovation could be sidelined. Public participation and codesign of digital technologies, particularly including young people and those from affected communities, are fundamental.

The Commission also advocates for data solidarity, a radical new approach to health data in which both personal and collective interests and responsibilities are balanced. Rather than data being regarded as something to be owned or hoarded, it emphasises the social and relational nature of health data. Countries should develop data trusts that unlock potential health benefits in public data, while also safeguarding it.

Digital transformations cannot be reversed. But they must be rethought and changed. At its heart, this Commission is both an exposition of the health harms of digital technologies as they function now, and an optimistic vision of the potential alternatives. Calling for investigation and expansion of digital health technologies is not misplaced techno-optimism, but a serious opportunity to drive much needed change. Without new approaches, the world will not achieve the 2030 Sustainable Development Goals.

However, no amount of technical innovation or research will bring equitable health benefits from digital technologies without a fundamental redistribution of power and agency, achievable only through appropriate governance. There is a desperate need to reclaim digital technologies for the good of societies. Our future health depends on it….(More)”.

Data for Children Collaborative Designs Responsible Data Solutions for Cross-Sector Services


Impact story by data.org: “That is the question that the Collaborative set out to answer: how do we define and support strong data ethics in a way that ensures it is no longer an afterthought? How do we empower organizations to make it their priority?…

Fassio, Data for Children Collaborative Director Alex Hutchison, and the rest of their five-person team set out to create a roadmap for data responsibility. They started with their own experiences and followed the lifecycle of a non-profit project from conception to communicating results.

The journey begins – for project leaders and for the Collaborative – with an ethical assessment before any research or intervention has been conducted. The assessment calls on project teams to reflect on their motivations and ethical issues at the start, midpoint, and results stages of a project, ensuring that the priority stakeholder remains at the center. Some of the elements are directly tied to data, like data collection, security, and anonymization, but the assessment goes beyond the hard data and into its applications and analysis, including understanding stakeholder landscape and even the appropriate language to use when communicating outputs.

For the Collaborative, that priority is children. But they’ve designed the assessment, which maps across to UNICEF’s Responsible Data for Children (RD4C) toolkit, and other responsible innovation resources to be adaptable for other sectors.

“We wanted to make it really accessible for people with no background in ethics or data. We wanted anyone to be able to approach it,” Fassio said. “Because it is data-focused, there’s actually a very wide application. A lot of the questions we ask are very transferable to other groups.”

The same is true for their youth participation workbook – another resource in the toolkit. The team engaged young people to help co-create the process, staying open to revisions and iterations based on people’s experiences and feedback….(More)”

Data Science for Social Good: Philanthropy and Social Impact in a Complex World


Book edited by Ciro Cattuto and Massimo Lapucci: “This book is a collection of insights by thought leaders at first-mover organizations in the emerging field of “Data Science for Social Good”. It examines the application of knowledge from computer science, complex systems, and computational social science to challenges such as humanitarian response, public health, and sustainable development. The book provides an overview of scientific approaches to social impact – identifying a social need, targeting an intervention, measuring impact – and the complementary perspective of funders and philanthropies pushing forward this new sector.

TABLE OF CONTENTS


Introduction; By Massimo Lapucci

The Value of Data and Data Collaboratives for Good: A Roadmap for Philanthropies to Facilitate Systems Change Through Data; By Stefaan G. Verhulst

UN Global Pulse: A UN Innovation Initiative with a Multiplier Effect; By Dr. Paula Hidalgo-Sanchis

Building the Field of Data for Good; By Claudia Juech

When Philanthropy Meets Data Science: A Framework for Governance to Achieve Data-Driven Decision-Making for Public Good; By Nuria Oliver

Data for Good: Unlocking Privately-Held Data to the Benefit of the Many; By Alberto Alemanno

Building a Funding Data Ecosystem: Grantmaking in the UK; By Rachel Rank

A Reflection on the Role of Data for Health: COVID-19 and Beyond; By Stefan E. Germann and Ursula Jasper….(More)”

Launch of UN Biodiversity Lab 2.0: Spatial data and the future of our planet


Press Release: “…The UNBL 2.0 is a free, open-source platform that enables governments and others to access state-of-the-art maps and data on nature, climate change, and human development in new ways to generate insight for nature and sustainable development. It is freely available online to governments and other stakeholders as a digital public good…

The UNBL 2.0 release responds to a known global gap in the types of spatial data and tools, providing an invaluable resource to nations around the world to take transformative action. Users can now access over 400 of the world’s best available global spatial data layers; create secure workspaces to incorporate national data alongside global data; use curated data collections to generate insight for action; and more. Without specialized tools or training, decision-makers can leverage the power of spatial data to support priority-setting and the implementation of nature-based solutions. Dynamic metrics and indicators on the state of our planet are also available….(More)”.