Stefaan Verhulst
Paper by P Alison Paprica et al: “Increasingly, the label “data trust” is being applied to repeatable mechanisms or approaches to sharing data in a timely, fair, safe and equitable way. However, there is a gap in terms of practical guidance about how to establish and operate a data trust.
In December 2019, the Canadian Institute for Health Information and the Vector Institute for Artificial Intelligence convened a working meeting of 19 people representing 15 Canadian organizations/initiatives involved in data sharing, most of which focus on public sector health data. The objective was to identify essential requirements for the establishment and operation of data trusts. Preliminary findings were presented during the meeting then refined as participants and co-authors identified relevant literature and contributed to this manuscript.
Twelve (12) minimum specification requirements (“min specs”) for data trusts were identified. The foundational min spec is that data trusts must meet all legal requirements, including legal authority to collect, hold or share data. In addition, there was agreement that data trusts must have (i) an accountable governing body which ensures the data trust advances its stated purpose and is transparent, (ii) comprehensive data management including responsible parties and clear processes for the collection, storage, access, disclosure and use of data, (iii) training and accountability requirements for all data users and (iv) ongoing public and stakeholder engagement.
Based on a review of the literature and advice from participants from 15 Canadian organizations/initiatives, practical guidance in the form of twelve min specs for data trusts were agreed on. Public engagement and continued exchange of insights and experience is recommended on this evolving topic…(More)”.
Pew Research: “As publics around the world look to scientists and the research and development process to bring new treatments and preventive strategies for the novel coronavirus, a new international survey finds scientists and their research are widely viewed in a positive light across global publics, and large majorities believe government investments in scientific research yield benefits for society.
Still, the wide-ranging survey, conducted before the COVID-19 outbreak reached pandemic proportions, reveals ambivalence about certain scientific developments – in areas such as artificial intelligence and genetically modified foods – often exists alongside high trust for scientists generally and positive views in other areas such as space exploration….
Scientists as a group are highly regarded, compared with other prominent groups and institutions in society. In all publics, majorities have at least some trust in scientists to do what is right. A median of 36% have “a lot” of trust in scientists, the same share who say this about the military, and much higher than the shares who say this about business leaders, the national government and the news media.
Still, an appreciation for practical experience, more so than expertise, in general, runs deep across publics. A median of 66% say it’s better to rely on people with practical experience to solve pressing problems, while a median of 28% say it’s better to rely on people who are considered experts about the problems, even if they don’t have much practical experience….(More)”.
UK Government: “This toolkit will help support the dissemination of reliable, truthful information that underpins our democracy. RESIST stands for (Recognise disinformation, Early warning, Situational Insight, Impact analysis, Strategic communication, Track outcomes).
This toolkit will:
- build your resilience to the threat of disinformation
- give you guidance on how to identify a range of different types of disinformation consistently and effectively
- help you prevent and tackle the spread of disinformation
- enable you to develop a response when disinformation affects your organisation’s ability to do its job or represents a threat to the general public.
The toolkit promotes a consistent approach to the threat and provides 6 steps to follow.
RESIST Disinformation: a toolkit
The purpose of this toolkit is to help you prevent the spread of disinformation. It will enable you to develop a response when disinformation affects your organisation’s ability to do its job, the people who depend on your services, or represents a threat to the general public.
What is disinformation?
Disinformation is the deliberate creation and/or sharing of false information with the intention to deceive and mislead audiences. The inadvertent sharing of false information is referred to as misinformation.
Who is this toolkit for?
Government and public sector communications professionals, as well as policy officers, senior managers and special advisers….(More)”
Report by Craig Matasick: “…innovative new set of citizen engagement practices—collectively known as deliberative democracy—offers important lessons that, when applied to the media development efforts, can help improve media assistance efforts and strengthen independent media environments around the world. At a time when disinformation runs rampant, it is more important than ever to strengthen public demand for credible information, reduce political polarization, and prevent media capture. Deliberative democracy approaches can help tackle these issues by expanding the number and diversity of voices that participate in policymaking, thereby fostering greater collective action and enhancing public support for media reform efforts.
Through a series of five illustrative case studies, the report demonstrates how deliberative democracy practices can be employed in both media development and democracy assistance efforts, particularly in the Global South. Such initiatives produce recommendations that take into account a plurality of voices while building trust between citizens and decision-makers by demonstrating to participants that their issues will be heard and addressed. Ultimately, this process can enable media development funders and practitioners to identify priorities and design locally relevant projects that have a higher likelihood for long-term impact.
– Deliberative democracy approaches, which are characterized by representative participation and moderated deliberation, provide a framework to generate demand-driven media development interventions while at the same time building greater public support for media reform efforts.
– Deliberative democracy initiatives foster collaboration across different segments of society, building trust in democratic institutions, combatting polarization, and avoiding elite capture.
– When employed by news organizations, deliberative approaches provide a better understanding of the issues their audiences care most about and uncover new problems affecting citizens that might not otherwise have come to light….(More)”.
Khari Johnson at Venture Beat: “Amsterdam and Helsinki today launched AI registries to detail how each city government uses algorithms to deliver services, some of the first major cities in the world to do so. An AI Register for each city was introduced in beta today as part of the Next Generation Internet Policy Summit, organized in part by the European Commission and the city of Amsterdam. The Amsterdam registry currently features a handful of algorithms, but it will be extended to include all algorithms following the collection of feedback at the virtual conference to lay out a European vision of the future of the internet, according to a city official.
Each algorithm cited in the registry lists datasets used to train a model, a description of how an algorithm is used, how humans utilize the prediction, and how algorithms were assessed for potential bias or risks. The registry also provides citizens a way to give feedback on algorithms their local government uses and the name, city department, and contact information for the person responsible for the responsible deployment of a particular algorithm. A complete algorithmic registry can empower citizens and give them a way to evaluate, examine, or question governments’ applications of AI.
In a previous development in the U.S., New York City created an automated decision systems task force in 2017 to document and assess city use of algorithms. At the time it was the first city in the U.S. to do so. However, following the release of a report last year, commissioners on the task force complained about a lack of transparency and inability to access information about algorithms used by city government agencies….
In a statement accompanying the announcement, Helsinki City Data project manager Pasi Rautio said the registry is also aimed at increasing public trust in the kinds of artificial intelligence “with the greatest possible openness.”…(More)”.
Jos Berens at Bloomberg New Economy Forum: “…Despite these and other examples, data sharing between the private sector and humanitarian agencies is still limited. Out of 281 contributing organizations on HDX, only a handful come from the private sector.
So why don’t we see more use of private sector data in humanitarian response? One obvious set of challenges concerns privacy, data protection and ethics. Companies and their customers are often wary of data being used in ways not related to the original purpose of data collection. Such concerns are understandable, especially given the potential legal and reputational consequences of personal data breaches and leaks.
Figuring out how to use this type of sensitive data in an already volatile setting seems problematic, and it is — negotiations between public and private partners in the middle of a crisis often get hung up on a lack of mutual understanding. Data sharing partnerships negotiated during emergencies often fail to mature beyond the design phase. This dynamic creates a loop of inaction due to a lack of urgency in between crises, followed by slow and halfway efforts when action is needed most.
To ensure that private sector data is accessible in an emergency, humanitarian organizations and private sector companies need to work together to build partnerships before a crisis. They can do this by taking the following actions:
- Invest in relationships and build trust. Both humanitarian organizations and private sector organizations should designate focal points who can quickly identify potentially useful data during a humanitarian emergency. A data stewards network which identifies and connects data responsibility leaders across organizations, as proposed by the NYU Govlab, is a great example of how such relations could look. Efforts to build trust with the general public regarding private sector data use for humanitarian response should also be strengthened, primarily through transparency about the means and purpose of such collaborations. This is particularly important in the context of COVID-19, as noted in the UN Comprehensive Response to COVID-19 and the World Economic Forum’s ‘Great Reset’ initiative…(More)”.
Book by Angèle Christin: “When the news moved online, journalists suddenly learned what their audiences actually liked, through algorithmic technologies that scrutinize web traffic and activity. Has this advent of audience metrics changed journalists’ work practices and professional identities? In Metrics at Work, Angèle Christin documents the ways that journalists grapple with audience data in the form of clicks, and analyzes how new forms of clickbait journalism travel across national borders.
Drawing on four years of fieldwork in web newsrooms in the United States and France, including more than one hundred interviews with journalists, Christin reveals many similarities among the media groups examined—their editorial goals, technological tools, and even office furniture. Yet she uncovers crucial and paradoxical differences in how American and French journalists understand audience analytics and how these affect the news produced in each country. American journalists routinely disregard traffic numbers and primarily rely on the opinion of their peers to define journalistic quality. Meanwhile, French journalists fixate on internet traffic and view these numbers as a sign of their resonance in the public sphere. Christin offers cultural and historical explanations for these disparities, arguing that distinct journalistic traditions structure how journalists make sense of digital measurements in the two countries.
Contrary to the popular belief that analytics and algorithms are globally homogenizing forces, Metrics at Work shows that computational technologies can have surprisingly divergent ramifications for work and organizations worldwide….(More)”.
Matthias Daub, Tony D’Emidio, Zaana Howard, and Seckin Ungur at McKinsey: “Who knew that one could develop warm feelings for a German Federal Employment Agency chatbot? If you own a business and wish to apply for state funds to supplement your employees’ reduced salaries, then UDO will fill in the application form for you. “Let’s go!” the digital assistant declares, launching into a series of questions. The system displays reassuring expertise; the queries—about the size of your workforce, the extent of the reduction in working hours, and so on—are simple, clear, and sensitive to previous responses, and the interface offers soothing blue tones and rounded edges. UDO goes on to ask why the workers are on reduced hours: for economic reasons, such as the cancellation of a large order due to the coronavirus, or because of an unavoidable event, such as a measure to mitigate the spread of the pandemic? And by now, a powerful and comforting thought may well arise in the citizen’s mind: UDO really cares.
In this article, we argue that smart use of automation can enable governments to provide outstanding levels of customer experience, driven by innovations that are as sensitive to people as they are to technology. We begin by considering the challenges and rewards of enhancing customer experience for governments. Then we discuss the benefits to governments of using automation to improve customer experience. Finally, we turn from why to how, identifying three key practices common to successful automation initiatives in public services….(More)”.
Mozilla: “Timely and open access to novel outputs is key to scientific research. It allows scientists to reproduce, test, and build on one another’s work — and ultimately unlock progress.
The most recent example of this is the research into COVID-19. Much of the work was published in open access journals, swiftly reviewed and ultimately improving our understanding of how to slow the spread and treat the disease. Although this rapid increase in scientific publications is evident in other domains too, we might not be reaping the benefits. The tools to parse and combine this newly created knowledge have roughly remained the same for years.
Today, Mozilla Fellow Kostas Stathoulopoulos is launching Orion — an open-source tool to illuminate the science behind the science and accelerate knowledge discovery in the life sciences. Orion enables users to monitor progress in science, visually explore the scientific landscape, and search for relevant publications.

Orion collects, enriches and analyses scientific publications in the life sciences from Microsoft Academic Graph.
Users can leverage Orion’s views to interact with the data. The Exploration view shows all of the academic publications in a three-dimensional visualization. Every particle is a paper and the distance between them signifies their semantic similarity; the closer two particles are, the more semantically similar. The Metrics view visualizes indicators of scientific progress and how they have changed over time for countries and thematic topics. The Search view enables the users to search for publications by submitting either a keyword or a longer query, for example, a sentence or a paragraph of a blog they read online….(More)”.
Article by Eliza McCullough: “….Instead of a smart city model that extracts from, surveils, and displaces poor people of color, we need a democratic model that allows community members to decide how technological infrastructure operates and to ensure the equitable distribution of benefits. Doing so will allow us to create cities defined by inclusion, shared ownership, and shared prosperity.
In 2016, Barcelona, for example, launched its Digital City Plan, which aims to empower residents with control of technology used in their communities. The document incorporates over 8,000 proposals from residents and includes plans for open source software, government ownership of all ICT infrastructure, and a pilot platform to help citizens maintain control over their personal data. As a result, the city now has free applications that allow residents to easily propose city development ideas, actively participate in city council meetings, and choose how their data is shared.
In the U.S., we need a framework for tech sovereignty that incorporates a racial equity approach: In a racist society, race neutrality facilitates continued exclusion and exploitation of people of color. Digital Justice Lab in Toronto illustrates one critical element of this kind of approach: access to information. In 2018, the organization gave community groups a series of grants to hold public events that shared resources and information about digital rights. Their collaborative approach intentionally focuses on the specific needs of people of color and other marginalized groups.
The turn toward intensified surveillance infrastructure in the midst of the coronavirus outbreak makes the need to adopt such practices all the more crucial. Democratic tech models that uplift marginalized populations provide us the chance to build a city that is just and open to everyone….(More)”.
