Understanding our Political Nature: How to put knowledge and reason at the heart of political decision-making

Curated on Posted on by Stefaan Verhulst

EU report by Rene Van Bavel et al: “Recognising that advances in behavioural, decision and social sciences demonstrate that we are not purely rational beings, this report brings new insights into our political behaviour and this understanding have the potential to address some of the current crises in our democracies. Sixty experts from across the globe working in the fields of behavioural and social sciences as well as the humanities, have contributed to the research that underpins this JRC report that calls upon evidence-informed policymaking not to be taken for granted. There is a chapter dedicated to each key finding which outlines the latest scientific thinking as well as an overview of the possible implications for policymaking. The key findings are:

  • Misperception and Disinformation: Our thinking skills are challenged by today’s information environment and make us vulnerable to disinformation. We need to think more about how we think.
  • Collective Intelligence: Science can help us re-design the way policymakers work together to take better decisions and prevent policy mistakes.
  • Emotions: We can’t separate emotion from reason. Better information about citizens’ emotions and greater emotional literacy could improve policymaking.
  • Values and Identities drive political behaviour but are not properly understood or debated.
  • Framing, Metaphor and Narrative: Facts don’t speak for themselves. Framing, metaphors and narratives need to be used responsibly if evidence is to be heard and understood.
  • Trust and Openness: The erosion of trust in experts and in government can only be addressed by greater honesty and public deliberation about interests and values.
  • Evidence-informed policymaking: The principle that policy should be informed by evidence is under attack. Politicians, scientists and civil society need to defend this cornerstone of liberal democracy….(More)”

The value of data in Canada: Experimental estimates

Curated on Posted on by Stefaan Verhulst

Statistics Canada: “As data and information take on a far more prominent role in Canada and, indeed, all over the world, data, databases and data science have become a staple of modern life. When the electricity goes out, Canadians are as much in search of their data feed as they are food and heat. Consumers are using more and more data that is embodied in the products they buy, whether those products are music, reading material, cars and other appliances, or a wide range of other goods and services. Manufacturers, merchants and other businesses depend increasingly on the collection, processing and analysis of data to make their production processes more efficient and to drive their marketing strategies.

The increasing use of and investment in all things data is driving economic growth, changing the employment landscape and reshaping how and from where we buy and sell goods. Yet the rapid rise in the use and importance of data is not well measured in the existing statistical system. Given the ‘lack of data on data’, Statistics Canada has initiated new research to produce a first set of estimates of the value of data, databases and data science. The development of these estimates benefited from collaboration with the Bureau of Economic Analysis in the United States and the Organisation for Economic Co-operation and Development.

In 2018, Canadian investment in data, databases and data science was estimated to be as high as $40 billion. This was greater than the annual investment in industrial machinery, transportation equipment, and research and development and represented approximately 12% of total non-residential investment in 2018….

Statistics Canada recently released a conceptual framework outlining how one might measure the economic value of data, databases and data science. Thanks to this new framework, the growing role of data in Canada can be measured through time. This framework is described in a paper that was released in The Daily on June 24, 2019 entitled “Measuring investments in data, databases and data science: Conceptual framework.” That paper describes the concept of an ‘information chain’ in which data are derived from everyday observations, databases are constructed from data, and data science creates new knowledge by analyzing the contents of databases….(More)”.

How we can place a value on health care data

Curated on Posted on by Stefaan Verhulst

Report by E&Y: “Unlocking the power of health care data to fuel innovation in medical research and improve patient care is at the heart of today’s health care revolution. When curated or consolidated into a single longitudinal dataset, patient-level records will trace a complete story of a patient’s demographics, health, wellness, diagnosis, treatments, medical procedures and outcomes. Health care providers need to recognize patient data for what it is: a valuable intangible asset desired by multiple stakeholders, a treasure trove of information.

Among the universe of providers holding significant data assets, the United Kingdom’s National Health Service (NHS) is the single largest integrated health care provider in the world. Its patient records cover the entire UK population from birth to death.

We estimate that the 55 million patient records held by the NHS today may have an indicative market value of several billion pounds to a commercial organization. We estimate also that the value of the curated NHS dataset could be as much as £5bn per annum and deliver around £4.6bn of benefit to patients per annum, in potential operational savings for the NHS, enhanced patient outcomes and generation of wider economic benefits to the UK….(More)”.

Review into bias in algorithmic decision-making

Curated on Posted on by Stefaan Verhulst

Interim Report by the Centre for Data Ethics and Innovation (UK): The use of algorithms has the potential to improve the quality of decision- making by increasing the speed and accuracy with which decisions are made. If designed well, they can reduce human bias in decision-making processes. However, as the volume and variety of data used to inform decisions increases, and the algorithms used to interpret the data become more complex, concerns are growing that without proper oversight, algorithms risk entrenching and potentially worsening bias.

The way in which decisions are made, the potential biases which they are subject to and the impact these decisions have on individuals are highly context dependent. Our Review focuses on exploring bias in four key sectors: policing, financial services, recruitment and local government. These have been selected because they all involve significant decisions being made about individuals, there is evidence of the growing uptake of machine learning algorithms in the sectors and there is evidence of historic bias in decision-making within these sectors. This Review seeks to answer three sets of questions:

  1. Data: Do organisations and regulators have access to the data they require to adequately identify and mitigate bias?
  2. Tools and techniques: What statistical and technical solutions are available now or will be required in future to identify and mitigate bias and which represent best practice?
  3. Governance: Who should be responsible for governing, auditing and assuring these algorithmic decision-making systems?

Our work to date has led to some emerging insights that respond to these three sets of questions and will guide our subsequent work….(More)”.

Trusted data and the future of information sharing

Curated on Posted on by Stefaan Verhulst

 MIT Technology Review: “Data in some form underpins almost every action or process in today’s modern world. Consider that even farming, the world’s oldest industry, is on the verge of a digital revolution, with AI, drones, sensors, and blockchain technology promising to boost efficiencies. The market value of an apple will increasingly reflect not only traditional farming inputs but also some value of modern data, such as weather patterns, soil acidity levels and agri-supply-chain information. By 2022 more than 60% of global GDP will be digitized, according to IDC.

Governments seeking to foster growth in their digital economies need to be more active in encouraging safe data sharing between organizations. Tolerating the sharing of data and stepping in only where security breaches occur is no longer enough. Sharing data across different organizations enables the whole ecosystem to grow and can be a unique source of competitive advantage. But businesses need guidelines and support in how to do this effectively.   

This is how Singapore’s data-sharing worldview has evolved, according to Janil Puthucheary, senior minister of state for communications and information and transport, upon launching the city-state’s new Trusted Data Sharing Framework in June 2019.

The Framework, a product of consultations between Singapore’s Infocomm Media Development Authority (IMDA), its Personal Data Protection Commission (PDPC), and industry players, is intended to create a common data-sharing language for relevant stakeholders. Specifically, it addresses four common categories of concerns with data sharing: how to formulate an overall data-sharing strategy, legal and regulatory considerations, technical and organizational considerations, and the actual operationalizing of data sharing.

For instance, companies often have trouble assessing the value of their own data, a necessary first step before sharing should even be considered. The framework describes the three general approaches used: market-, cost-, and income-based. The legal and regulatory section details when businesses can, among other things, seek exemptions from Singapore’s Personal Data Protection Act.

The technical and organizational chapter includes details on governance, infrastructure security, and risk management. Finally, the section on operational aspects of data sharing includes guidelines for when it is appropriate to use shared data for a secondary purpose or not….(More)”.

Digital tools for Citizens’ Assemblies

Curated on Posted on by Stefaan Verhulst

Report by Alex Parsons: “… result of mySociety’s research into how digital tools can be used as part of the process of a Citizens’ Assembly.

We reviewed how Citizens’ Assemblies to date have approached technology, and explored where lessons can be learned from other deliberative or consultative activities.

While there is no unified Citizens’ Assembly digital service, there are a number of different tools that can be used to enhance the process – and that most of these are generic and well-tested products and services. We also tried to identify where innovative tools could be put to new uses, while always bearing in mind the core importance of the in-person deliberative nature of assemblies….(More)”.

What If There Were More Policy Futures Studios?

Curated on Posted on by Stefaan Verhulst

Essay by Lucy Kimbell: “Unexpected election results are intersecting in new and often disturbing ways with enduring issues such as economic and social inequalities; climate change; global movements of people fleeing war, poverty and environmental change; and the social and cultural consequences of long-term cuts in public funding. These developments are punctuated by dramatic events such as war, terrorist attacks and disasters such as floods, fires and other effects of changes in rainfall and temperature. Many of the available public policy visions of the future fail to connect with people’s day-to-day realities and challenges they face. Where could alternative visions and more effective public policy solutions come from? And what roles can design and futures practices play in constituting these?

For people using design-based and arts-based approaches in relation to social and public policy issues, the practices, structures and processes associated with institutions making public policy present a paradox. On
the one hand, creative methods can enable people to participate in assessing how things are, in ways that are meaningful to them, and imagining how things could be different, and to do so in collaboration with people they might not ordinarily engage with. Workshops and spaces for exploring futures such as design jams, hackathons, digital platforms, exhibitions and co-working hubs can open up a distributed creative capacity for negotiating potentialities in relation to current actualities. The strong emphasis in design on how people experience issues – understanding things on their terms, informed by the principles of ethnography – can open up participation, critique and creativity. Such practices can surface and open up difficult questions about institutions and how they work….(More)”.

AI & the sustainable development goals: The state of play

Curated on Posted on by Stefaan Verhulst

Report by 2030Vision: “…While the world is making progress in some areas, we are falling behind in delivering the SDGs overall. We need all actors – businesses, governments, academia, multilateral institutions, NGOs, and others – to accelerate and scale their efforts to deliver the SDGs, using every tool at their disposal, including artificial intelligence (AI).

In December 2017, 2030Vision published its first report, Uniting to Deliver Technology for the Global Goals, which addressed the role of digital technology – big data, robotics, internet of things, AI, and other technologies – in achieving the SDGs.

In this paper, we focus on AI for the SDGs. AI extends and amplifies the capacity of human beings to understand and solve complex, dynamic, and interconnected systems challenges like the SDGs. Our main objective was to survey the landscape of research and initiatives on AI and the SDGs to identify key themes and questions in need of further exploration. We also reviewed the state of AI and the SDGs in two sectors – food and agriculture and healthcare – to understand if and how AI is being deployed to address the SDGs and the challenges and opportunities in doing so….(More)”.

Seize the Data: Using Evidence to Transform How Federal Agencies Do Business

Curated on Posted on by Stefaan Verhulst

Report by the Partnership for Public Service: “The use of data analysis, rigorous evaluation and a range of other credible strategies to inform decision-making is becoming more common across government. Even so, the movement is nascent, with leading practices implemented at some agencies, but not yet widely adopted. Much more progress is necessary. In fact, the recently enacted Foundations for Evidence-Based Policymaking Act, as well as the recently released draft Federal Data Strategy Action Plan, both prioritize broader adoption of leading practices.

To support that effort, this report highlights practical steps that agencies can take to become more data-driven and evidence-based. The findings emerged from a series of workshops and interviews conducted between April 2018 and May 2019 by the Partnership for Public Service and Grant Thornton. From these sessions, we learned that the most forward-thinking agencies rely on multiple approaches, including:
• Using top-down and bottom-up approaches to build evidence-based organizations.
• Driving longer-term and shorter-term learning.
• Using existing data and new data.
• Strengthening internal capacity and creating external research practitioner partnerships.
This report describes what these strategies look like in practice, and shares real-world and replicable examples of how leading agencies have become more data-driven and evidence-based….(More)”.