How the Data Revolution Will Help the World Fight Climate Change

Curated on Posted on by Stefaan Verhulst

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

Curated on Posted on by Stefaan Verhulst

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

Curated on Posted on by Stefaan Verhulst

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?

Curated on Posted on by Stefaan Verhulst

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

Curated on Posted on by Stefaan Verhulst

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

Curated on Posted on by Stefaan Verhulst

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

Curated on Posted on by Stefaan Verhulst

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)”.

Data Stewardship Re-Imagined — Capacities and Competencies

Curated on Posted on by Stefaan Verhulst

Blog and presentation by Stefaan Verhulst: “In ways both large and small, COVID-OVID-19 has forced us to re-examine every aspect of our political, social, and economic systems. Among the many lessons, policymakers have learned is that existing methods for using data are often insufficient for our most pressing challenges. In particular, we need to find new, innovative ways of tapping into the potential of privately held and siloed datasets that nonetheless contain tremendous public good potential, including complementing and extending official statistics. Data collaboratives are an emerging set of methods for accessing and reusing data that offer tremendous opportunities in this regard. In the last five years, we have studied and initiated numerous data collaboratives, in the process assembling a collection of over 200 example case studies to better understand their possibilities.

Among our key findings is the vital importance and essential role that needs to be played by Data Stewards.

Data stewards do not represent an entirely new profession; rather, their role could be understood as an extension and re-definition of existing organizational positions that manage and interact with data. Traditionally, the role of a data officer was limited either to data integrity or the narrow context of internal data governance and management, with a strong emphasis on technical competencies. This narrow conception is no longer sufficient, especially given the proliferation of data and the increasing potential of data sharing and collaboration. As such, we call for a re-imagination of data stewardship to encompass a wider range of functions and responsibilities, directed at leveraging data assets toward addressing societal challenges and improving people’s lives.

DATA STEWARDSHIP: functions and competencies to enable access to and re-use of data for public benefit in a systematic, sustainable, and responsible way.

In our vision, data stewards are professionals empowered to create public value (including official statistics) by re-using data and data expertise, identifying opportunities for productive cross-sectoral collaboration, and proactively requesting or enabling functional access to data, insights, and expertise. Data stewards are active in both the public and private sectors, promoting trust within and outside their organizations. They are essential to data collaboratives by providing functional access to unlock the potential of siloed data sets. In short, data stewards form a new — and essential — link in the data value chain….(More)”.

Data governance: Enhancing access to and sharing of data

Curated on Posted on by Stefaan Verhulst

OECD Recommendation: “Access to and sharing of data are increasingly critical for fostering data-driven scientific discovery and innovations across the private and public sectors globally and will play a role in solving societal challenges, including fighting COVID-19 and achieving the Sustainable Development Goals (SDGs). But restrictions to data access, sometimes compounded by a reluctance to share, and a growing awareness of the risks that come with data access and sharing, means economies and societies are not harnessing the full potential of data.


Adopted in October 2021, the OECD Recommendation on Enhancing Access to and Sharing of Data (EASD) is the first internationally agreed upon set of principles and policy guidance on how governments can maximise the cross-sectoral benefits of all types of data – personal, non-personal, open, proprietary, public and private – while protecting the rights of individuals and organisations.


The Recommendation intends to help governments develop coherent data governance policies and frameworks to unlock the potential benefits of data across and within sectors, countries, organisations, and communities. It aims to reinforce trust across the data ecosystem, stimulate investment in data and incentivise data access and sharing, and foster effective and responsible data access, sharing, and use across sectors and jurisdictions.


The Recommendation is a key deliverable of phase 3 of the OECD’s Going Digital project, focused on data governance for frowth and well-being. It was developed by three OECD Committees (Digital Economy Policy, Scientific and Technological Policy, and Public Governance) and acts as a common reference for existing and new OECD legal instruments related to data in areas such as research, health and digital government. It will provide a foundation stone for ongoing OECD work to help countries unlock the potential of data in the digital era….(More)”.

Mobile Big Data in the fight against COVID-19

Curated on Posted on by Stefaan Verhulst

Editorial to Special Collection of Data&Policy by Richard Benjamins, Jeanine Vos, and Stefaan Verhulst: “Almost two years into the COVID-19 pandemic, parts of the world feel like they may slowly be getting back to (a new) normal. Nevertheless, we know that the damage is still unfolding, and that much of the developing world Southeast Asia and Africa in particular — remain in a state of crisis. Given the global nature of this disease and the potential for mutant versions to develop and spread, a crisis anywhere is cause for concern everywhere. The world remains very much in the grip of this public health crisis.

From the beginning, there has been hope that data and technology could offer solutions to help inform governments’ response strategy and decision-making. Many of the expectations have been focused on mobile data analytics, and in particular the possibility of mobile network operators creating mobility insights and decision-making tools generated from anonymized and aggregated telco data. This hoped-for capability results from a growing group of mobile network operators investing in systems and capabilities to develop such decision-support products and services for public and private sector customers. The value of having such tools has been demonstrated in addressing different global challenges, ranging from the possibilities offered by models to better understand the spread of Zika in Brazil to interactive dashboards that aided emergency services during earthquakes and floods in Japan. Yet despite these experiences, many governments across the world still have limited awareness, capabilities, budgets and resources to leverage such tools in their efforts to limit the spread of COVID-19 using non-pharmaceutical interventions (NPI).

This special collection of papers we launched in Data & Policy examines both the potential of mobile data, as well as the challenges faced in delivering these tools to inform government decision-making. To date, the collection

Consisting of 11 papers from 71 researchers and experts from academia, industry, and government, the articles cover a wide range of geographies, including Argentina, Austria, Belgium, Brazil, Ecuador, Estonia, Europe (as a whole), France, Gambia, Germany, Ghana, Italy, Malawi, Nigeria, Nordics, and Spain. Responding to our call for case studies to illustrate the opportunities (and challenges) offered by mobile big data in the fight against COVID-19, the authors of these papers describe a number of examples of how mobile and mobile-related data have been used to address the medical, economic, socio-cultural and political aspects of the pandemic….(More)”.