Participatory data stewardship

Curated on Posted on by Stefaan Verhulst

Report by the Ada Lovelace Institute: “Well-managed data can support organisations, researchers, governments and corporations to conduct lifesaving health research, reduce environmental harms and produce societal value for individuals and communities. But these benefits are often overshadowed by harms, as current practices in data collection, storage, sharing and use have led to high-profile misuses of personal data, data breaches and sharing scandals.

These range from the backlash to Care.Data, to the response to Cambridge Analytica and Facebook’s collection and use of data for political advertising. These cumulative scandals have resulted in ‘tenuous’ public trust in data sharing, which entrenches public concern about data and impedes its use in the public interest. To reverse this trend, what is needed is increased legitimacy, and increased trustworthiness, of data and AI use.

This report proposes a ‘framework for participatory data stewardship’, which rejects practices of data collection, storage, sharing and use in ways that are opaque or seek to manipulate people, in favour of practices that empower people to help inform, shape and – in some instances – govern their own data.

As a critical component of good data governance, it proposes data stewardship as the responsible use, collection and management of data in a participatory and rights-preserving way, informed by values and engaging with questions of fairness.

Drawing extensively from Sherry Arnstein’s ‘ladder of citizen participation’ and its more recent adaptation into a spectrum, this new framework is based on an analysis of over 100 case studies of different methods of participatory data stewardship. It demonstrates ways that people can gain increasing levels of control and agency over their data – from being informed about what is happening to data about themselves, through to being empowered to take responsibility for exercising and actively managing decisions about data governance….(More)”.

Artificial intelligence masters’ programs

Curated on Posted on by Stefaan Verhulst

An analysis “of curricula building blocks” by JRC-European Commission: “This report identifies building blocks of master programs on Artificial Intelligence (AI), on the basis of the existing programs available in the European Union. These building blocks provide a first analysis that requires acceptance and sharing by the AI community. The proposal analyses first, the knowledge contents, and second, the educational competences declared as the learning outcomes, of 45 post-graduate academic masters’ programs related with AI from universities in 13 European countries (Belgium, Denmark, Finland, France, Germany, Italy, Ireland, Netherlands, Portugal, Spain, and Sweden in the EU; plus Switzerland and the United Kingdom).

As a closely related and relevant part of Informatics and Computer Science, major AI-related curricula on data science have been also taken into consideration for the analysis. The definition of a specific AI curriculum besides data science curricula is motivated by the necessity of a deeper understanding of topics and skills of the former that build up the foundations of strong AI versus narrow AI, which is the general focus of the latter. The body of knowledge with the proposed building blocks for AI consists of a number of knowledge areas, which are classified as Essential, Core, General and Applied.

First, the AI Essentials cover topics and competences from foundational disciplines that are fundamental to AI. Second, topics and competences showing a close interrelationship and specific of AI are classified in a set of AI Core domain-specific areas, plus one AI General area for non-domain-specific knowledge. Third, AI Applied areas are built on top of topics and competences required to develop AI applications and services under a more philosophical and ethical perspective. All the knowledge areas are refined into knowledge units and topics for the analysis. As the result of studying core AI knowledge topics from the master programs sample, machine learning is observed to prevail, followed in order by: computer vision; human-computer interaction; knowledge representation and reasoning; natural language processing; planning, search and optimisation; and robotics and intelligent automation. A significant number of master programs analysed are significantly focused on machine learning topics, despite being initially classified in another domain. It is noteworthy that machine learning topics, along with selected topics on knowledge representation, depict a high degree of commonality in AI and data science programs. Finally, the competence-based analysis of the sample master programs’ learning outcomes, based on Bloom’s cognitive levels, outputs that understanding and creating cognitive levels are dominant.

Besides, analysing and evaluating are the most scarce cognitive levels. Another relevant outcome is that master programs on AI under the disciplinary lenses of engineering studies show a notable scarcity of competences related with informatics or computing, which are fundamental to AI….(More)”.

Public engagement and net zero

Curated on Posted on by Stefaan Verhulst

Report by Tom Sasse, Jill Rutter, and Sarah Allan: “The government must do more to involve the public in designing policies to help the UK transition to a zero-carbon economy.

This report, published in partnership with Involve, sets out recommendations for when and how policy makers should engage with citizens and residents – such as on designing taxes and subsidies to support the replacement of gas boilers or encouraging changes in diet – to deliver net zero.

But it warns there is limited government capability and expertise on public engagement and little co-ordination of activities across government. In many departments, engaging the public is not prioritised as a part of policy making.

Climate Assembly UK, organised in 2020 by parliament (not government), involved over a hundred members of the public, informed by experts, deliberating over the choices involved in the UK meeting its net zero target. But the government has not built on its success. It has yet to commit to making public engagement part of its net zero strategy, nor set out a clear plan for how it might go about it.

The report recommends that:

  • departments invest in strengthening the public engagement expertise needed to plan and commission exercises effectively
  • either the Cabinet Office or the Department for Business, Energy and Industrial Strategy (BEIS) take increased responsibility for co-ordinating net zero public engagement across government
  • the government use its net zero strategy, due in the autumn of this year, to set out how it intends to use public engagement to inform the design of net zero policies
  • the independent Climate Change Committee should play a greater role in advising government on what public engagement to commission….(More)”.

The Innovation Project: Can advanced data science methods be a game-change for data sharing?

Curated on Posted on by Stefaan Verhulst

Report by JIPS (Joint Internal Displacement Profiling Service): “Much has changed in the humanitarian data landscape in the last decade and not primarily with the arrival of big data and artificial intelligence. Mostly, the changes are due to increased capacity and resources to collect more data quicker, leading to the professionalisation of information management as a domain of work. Larger amounts of data are becoming available in a more predictable way. We believe that as the field has progressed in filling critical data gaps, the problem is not the availability of data, but the curation and sharing of that data between actors as well as the use of that data to its full potential.

In 2018, JIPS embarked on an innovation journey to explore the potential of state-of-the-art technologies to incentivise data sharing and collaboration. This report covers the first phase of the innovation project and launches a series of articles in which we will share more about the innovation journey itself, discuss safe data sharing and collaboration, and look at the prototype we developed – made possible by the UNHCR Innovation Fund.

We argue that by making data and insights safe and secure to share between stakeholders, it will allow for a more efficient use of available data, reduce the resources needed to collect new data, strengthen collaboration and foster a culture of trust in the evidence-informed protection of people in displacement and crises.

The paper first defines the problem and outlines the processes through which data is currently shared among the humanitarian community. It explores questions such as: what are the existing data sharing methods and technologies? Which ones constitute a feasible option for humanitarian and development organisations? How can different actors share and collaborate on datasets without impairing confidentiality and exposing them to disclosure threats?…(More)”.

Building a Responsible Open Data Ecosystem: Mobility Data & COVID-19

Curated on Posted on by Stefaan Verhulst

Blog by Anna Livaccari: “Over the last year and a half, COVID-19 has changed the way people move, work, shop, and live. The pandemic has necessitated new data-sharing initiatives to understand new patterns of movement, analyze the spread of COVID-19, and inform research and decision-making. Earlier this year, Cuebiq collaborated with the Open Data Institute (ODI) and NYU’s The GovLab to explore the efficacy of these new initiatives. 

The ODI is a non-profit organization that brings together commercial and non-commercial organizations and governments to address global issues as well as advise on how data can be used for positive social good. As part of a larger project titled “COVID-19: Building an open and trustworthy data ecosystem,” the ODI published a new report with Cuebiq and The GovLab, an action research center at NYU’s Tandon School of Engineering that has pioneered the concept of data collaboratives and runs the data stewards network among other initiatives to advance data-driven decision making in the public interest. This report, “The Use of Mobility Data for Responding to the COVID-19 Pandemic,” specifically addresses key enablers and obstacles to the successful sharing of mobility data between public and private organizations during the pandemic….

Since early 2020, researchers and policy makers have been eager to understand the impact of COVID-19. With the help of mobility data, organizations from different sectors were able to answer some of the most pressing questions regarding the pandemic: questions about policy decisions, mass-communication strategies, and overall socioeconomic impact. Mobility data can be applied to specific use cases and can help answer complex questions, a fact that The GovLab discusses in its short-form mobility data brief. Understanding exactly how organizations employ mobility data can also improve how institutions operate post-pandemic and make data collaboration as a whole more responsible, sustainable, and systemic.

Cuebiq and the GovLab identified 51 projects where mobility data was used for pandemic response, and then selected five case studies to analyze further. The report defines mobility data, the ethics surrounding it, and the lessons learned for the future….(More)”.

Co-Develop: Digital Public Infrastructure for an Equitable Recovery

Curated on Posted on by Stefaan Verhulst

A report by The Rockefeller Foundation: “Digital systems that accomplish basic, society-wide functions played a critical role in the response to the Covid-19 pandemic, enabling both public health and social protection measures. The pandemic has shown the value of these systems, but it has also revealed how they are non-existent or weak in far too many places.

As we build back better, we have an unprecedented opportunity to build digital public infrastructure that promotes inclusion, human rights, and progress toward global goals. This report outlines an agenda for international cooperation on digital public infrastructure to guide future investments and expansion of this critical tool.

6 Key Areas for International Cooperation on Digital Public Infrastructure

  1. A vision for digital public infrastructure as a whole, backed by practice, research, and evaluation.
  2. A global commons based on digital public goods.
  3. Safeguards for inclusion, trust, competition, security, and privacy.
  4. Tools that use data in digital public infrastructure for public value and private empowerment.
  5. Private and public capacity, particularly in implementing countries.
  6. Silo-busting, built-for-purpose coordinating, funding, and financing….(More)”.

The Mobility Data Sharing Assessment

Curated on Posted on by Stefaan Verhulst

New Tool from the Mobility Data Collaborative (MDC): “…released a set of resources to support transparent and accountable decision making about how and when to share mobility data between organizations. …The Mobility Data Sharing Assessment (MDSA) is a practical and customizable assessment that provides operational guidance to support an organization’s existing processes when sharing or receiving mobility data. It consists of a collection of resources:

  • 1. A Tool that provides a practical, customizable and open-source assessment for organizations to conduct a self-assessment.
  • 2. An Operator’s Manual that provides detailed instructions, guidance and additional resources to assist organizations as they complete the tool.
  • 3. An Infographic that provides a visual overview of the MDSA process.

“We were excited to work with the MDC to create a practical set of resources to support mobility data sharing between organizations,” said Chelsey Colbert, policy counsel at FPF. “Through collaboration, we designed version one of a technology-neutral tool, which is consistent and interoperable with leading industry frameworks. The MDSA was designed to be a flexible and scalable approach that enables mobility data sharing initiatives by encouraging organizations of all sizes to assess the legal, privacy, and ethical considerations.”

New mobility options, such as shared cars and e-scooters, have rapidly emerged in cities over the past decade. Data generated by these mobility services offers an exciting opportunity to provide valuable and timely insight to effectively develop transportation policy and infrastructure. As the world becomes more data-driven, tools like the MDSA help remove barriers to safe data sharing without compromising consumer trust….(More)”.

World Public Sector Report 2021

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UN-DESA: “Five years after the start of the implementation of the 2030 Agenda, governance issues remain at the forefront. The COVID-19 pandemic has highlighted even more the importance of national institutions for the achievement of the SDGs. The World Public Sector Report 2021 focuses on three dimensions of institutional change at the national level. First, it documents changes in institutional arrangements for SDG implementation since 2015. Second, it assesses the development, performance, strengths and weaknesses of follow-up and review systems for the SDGs. Third, it examines efforts made by governments and other stakeholders to enhance the capacity of public servants to implement the SDGs. Based on in-depth examination of institutional arrangements for SDG implementation in a sample of 24 countries in all regions, the report aims to draw attention to the institutional dimension of SDG implementation and provide lessons for national policymakers in this regard. The report also takes stock of the impacts of the COVID-19 pandemic on national institutions and their implications for delivering on the 2030 Agenda….(More)”.

Museum of Failure

Curated on Posted on by Stefaan Verhulst

“Museum of Failure is a collection of failed products and services from around the world. The majority of all innovation projects fail and the museum showcases these failures to provide visitors a fascinating learning experience. Every item provides unique insight into the risky business of innovation.

Innovation and progress require an acceptance of failure. The museum aims to stimulate productive discussion about failure and inspire us to take meaningful risks….(More)”.

Innovative Data for Urban Planning: The Opportunities and Challenges of Public-Private Data Partnerships

Curated on Posted on by Stefaan Verhulst

GSMA Report: “Rapid urbanisation will be one of the most pressing and complex challenges in low-and-middle income countries (LMICs) for the next several decades. With cities in Africa and Asia expected to add more than one billion people, urban populations will represent two-thirds of the world population by 2050. This presents LMICs with an interesting opportunity and challenge, where rapid urbanisation can both contribute to economic or poverty growth.

The rapid pace and unequal character of urbanisation in LMICs has meant that not enough data has been generated to support urban planning solutions and the effective provision of urban utility services. Data-sharing partnerships between the public and private sector can bridge this data gap and open up an opportunity for governments to address urbanisation challenges with data-driven decisions. Innovative data sources such as mobile network operator data, remote sensing data, utility services data and other digital services data, can be applied to a range of critical urban planning and service provision use cases.

This report identifies challenges and enablers for public-private data-sharing partnerships (PPPs) that relate to the partnership engagement model, data and technology, regulation and ethics frameworks and evaluation and sustainability….(More)”