Handbook of Democratic Innovation and Governance


Book edited by Stephen Elstub and Oliver Escobar: “Democracies are currently undergoing a period of both challenge and renewal. Democratic innovations are proliferating in politics, governance, policy, and public administration. This Handbook of Democratic Innovation and Governance advances understanding of democratic innovations by critically reviewing their importance throughout the world. The overarching themes are a focus on citizens and their relationship to these innovations, and the resulting effects on political equality and policy impact.

The Handbook covers different types of democratic innovations; their potential to combat current problems with democracy; the various actors involved; their use in different areas of policy and governance; their application in different parts of the world; and the methods used to research them. Contributors therefore offer a definitive overview of existing research on democratic innovations, while also setting the agenda for future research and practice.

Featuring a critical combination of theoretical, empirical and methodological work on democratic innovations, this insightful Handbook balances depth, originality and accessibility to make it an ideal research companion for scholars and students of democratic governance alike. Public administrators and participation practitioners will also benefit from its guidance on citizen engagement processes….(More)”.

Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century


Paper by Jean-Claude Burgelman et al: “Open science will make science more efficient, reliable, and responsive to societal challenges. The European Commission has sought to advance open science policy from its inception in a holistic and integrated way, covering all aspects of the research cycle from scientific discovery and review to sharing knowledge, publishing, and outreach. We present the steps taken with a forward-looking perspective on the challenges laying ahead, in particular the necessary change of the rewards and incentives system for researchers (for which various actors are co-responsible and which goes beyond the mandate of the European Commission). Finally, we discuss the role of artificial intelligence (AI) within an open science perspective….(More)”.

Innovation bureaucracies: How agile stability creates the entrepreneurial state


Paper by Rainer Kattel, Wolfgang Drechsler and Erkki Karo: “In this paper, we offer to redefine what entrepreneurial states are: these are states that are capable of unleashing innovations, and wealth resulting from those innovations, and of maintaining socio-political stability at the same time. Innovation bureaucracies are constellations of public organisations that deliver such agile stability. Such balancing acts make public bureaucracies unique in how they work, succeed and fail. The paper looks at the historical evolution of innovation bureaucracy by focusing on public organisations dealing with knowledge and technology, economic development and growth. We briefly show how agility and stability are delivered through starkly different bureaucratic organisations; hence, what matters for capacity and capabilities are not individual organisations, but organisational configurations and how they evolve….(More)”.

Accelerating Medicines Partnership (AMP): Improving Drug Research Efficiency through Biomarker Data Sharing


Data Collaborative Case Study by Michelle Winowatan, Andrew Young, and Stefaan Verhulst: “Accelerating Medicines Partnership (AMP) is a cross-sector data-sharing partnership in the United States between the National Institutes of Health (NIH), the Food and Drug Administration (FDA), multiple biopharmaceutical and life science companies, as well as non-profit organizations that seeks to improve the efficiency of developing new diagnostics and treatments for several types of disease. To achieve this goal, the partnership created a pre-competitive collaborative ecosystem where the biomedical community can pool data and resources that are relevant to the prioritized disease areas. A key component of the partnership is to make biomarkers data available to the medical research community through online portals.

Data Collaboratives Model: Based on our typology of data collaborative models, AMP is an example of the data pooling model of data collaboration, specifically a public data pool. Public data pools co-mingle data assets from multiple data holders — in this case pharmaceutical companies — and make those shared assets available on the web. Pools often limit contributions to approved partners (as public data pools are not crowdsourcing efforts), but access to the shared assets is open, enabling independent re-uses.

Data Stewardship Approach: Data stewardship is built into the partnership through the establishment of an executive committee, which governs the entire partnership, and a steering committee for each disease area, which governs each of the sub-projects within AMP. These committees consist of representatives from the institutional partners involved in AMP and perform data stewards function including enabling inter-institutional engagement as well as intra-institutional coordination, data audit and assessment of value and risk, communication of findings, and nurture the collaboration to sustainability….(Full Case Study)”.

Understanding How Cultures Change


Excerpt of book by Geoff Mulgan on Social Innovation: How Societies Find the Power to Change: “…There are very few thinkers who have changed how we see the world, and even fewer who have changed how we think about how we see the world. Mary Douglas was one of the very rare exceptions. Her field was culture, but she was as unlike the stereotypical cultural academic as one could imagine. A devout Catholic whose late husband was head of research at Conservative Central Office, she used the decades after she passed retirement age in an extraordinary flowering of enquiry that provided striking insights in fields as diverse as the study of the Old Testament and the politics of climate change.

She was a rare example of a public intellectual whose theoretical apparatus allowed her to think in original ways about almost any topic—for example, in her ideas on enclaves, the small groups which at their most extreme become terrorist cells. Where others emphasize their strengths, she emphasized their weaknesses: how prone they are to splits and sectarianism, and how hard it is for their founders to impose and enforce rules. To survive, they create around themselves what she called a ‘wall of virtue’—the sense that they alone uphold justice, while all around them are suspect. Yet the very thing that binds them together encourages individuals to compete to demonstrate their own virtue and the failings of their peers. The only thing that can override this fragility is fear of the outside world—and so sects, whether political or religious, peaceful or violent, feed off the fear and hostility of states and societies, using it to reinforce their own solidarity and their own sense of virtue. The implication is clear, and challenging, for Western governments: in the long term, defeating terrorism depends on ratcheting fear down, not up, and on dismantling the “walls of virtue” rather than attacking them head on with declarations of war….

In each of these fields Douglas’s work set in motion new schools of thought. Perhaps the most fertile of all of these is now being used to make sense of why so many well-intentioned policies fail, and why some others succeed even though they appear to work less well on paper. Her starting point is a deceptively simple framework which she repeatedly used to make sense of organizations and societies. It is a framework which should be part of the mental furniture of any educated person, as basic as the laws of supply and demand in economics, or the laws of thermodynamics.

Any culture, she argues, can be mapped on two dimensions. On one axis is what she calls the “grid”—the extent to which behaviors and rules are defined and differentiated, for example by public rules deciding who can do what according to their age, race, gender or qualifications. Examples of a high grid would be a traditional corporation, a traditional agrarian society or families with clear demarcations of roles and times (when to eat, when to go to bed). On the other axis is what she calls “group”—the extent to which people bond with each other and divide the world into insiders and outsiders. The more people do with a group of other people, the more they experience testing trials, or the more difficult the group is to get into, the higher the sense of group belonging will be.

These two dimensions come together to provide a simple two-by-two matrix: high grid and high group mean hierarchy; low grid and low group mean individualism; high group and low grid lead to egalitarianism; and low group and high grid result in fatalism. This very simple model has turned out to be a powerful tool for understanding social relations and for making sense of how people see the world. We may like to believe that we choose and shape our own beliefs, but Douglas, drawing on the work of Émile Durkheim and others, suggests that it’s much easier to understand societies by turning that assumption on its head: societies and institutions think through us much more than the other way around….(More)”.

The Economics of Violence: How Behavioral Science Can Transform our View of Crime, Insurgency, and Terrorism


Book by Gary M. Shiffman: “How do we understand illicit violence? Can we prevent it? Building on behavioral science and economics, this book begins with the idea that humans are more predictable than we like to believe, and this ability to model human behavior applies equally well to leaders of violent and coercive organizations as it does to everyday people. Humans ultimately seek survival for themselves and their communities in a world of competition. While the dynamics of ‘us vs. them’ are divisive, they also help us to survive. Access to increasingly larger markets, facilitated through digital communications and social media, creates more transnational opportunities for deception, coercion, and violence. If the economist’s perspective helps to explain violence, then it must also facilitate insights into promoting peace and security. If we can approach violence as behavioral scientists, then we can also better structure our institutions to create policies that make the world a more secure place, for us and for future generations….(More)”.

The Role of Crowdsourcing in the Healthcare Industry


Chapter by Kabir C. Sen: “The twenty first century has seen the advent of technical advances in storage, transmission and analysis of information. This has had a profound impact on the field of medicine. However, notwithstanding these advances, various obstacles remain in the world regarding the improvement of human lives through the provision of better health care. The obstacles emanate from the demand (i.e., the problem) as well as the supply (i.e., the solution) side. In some cases, the nature of the problems might not have been correctly identified. In others, a solution to a problem could be known only to a small niche of the global population. Thus, from the demand perspective, the variety of health care issues can range from the quest for a cure for a rare illness to the inability to successfully implement verifiable preventive measures for a disease that affects pockets of the global population. Alternatively, from the supply perspective, the approach to a host of health issues might vary because of fundamental differences in both medical philosophies and organizational policies.

In many instances, effective solutions to health care problems are lacking because of inadequate global knowledge about the particular disease. Alternatively, in other cases, a solution might exist but the relevant knowledge about it might only be available to selected pockets of the global medical community. Sometimes, the barriers to the transfer of knowledge might have their root causes in ignorance or prejudice about the initiator of the cure or solution. However, the advent of information technology has now provided an opportunity for individuals located at different geographical locations to collaborate on solutions to various problems. These crowdsourcing projects now have the potential to extract the “wisdom of crowds” for tackling problems which previously could not be solved by a group of experts (Surowiecki, 2014). Anecdotal evidence suggests that crowdsourcing has achieved some success in providing solutions for a rare medical disease (Arnold, 2014). This chapter discusses crowdsourcing’s potential to solve medical problems by designing a framework to evaluate its promises and suggest recommended future paths of actions….(More)”.

Open data for electricity modeling: Legal aspects


Paper by Lion Hirth: “Power system modeling is data intensive. In Europe, electricity system data is often available from sources such as statistical offices or system operators. However, it is often unclear if these data can be legally used for modeling, and in particular if such use infringes intellectual property rights. This article reviews the legal status of power system data, both as a guide for data users and for data publishers.

It is based on interpretation of the law, a review of the secondary literature, an analysis of the licenses used by major data distributors, expert interviews, and a series of workshops. A core finding is that in many cases the legality of current practices is doubtful: in fact, it seems likely that modelers infringe intellectual property rights quite regularly. This is true for industry analysis but also academic researchers. A straightforward solution is open data – the idea that data can be freely used, modified, and shared by anyone for any purpose. To be open, it is not sufficient for data to be accessible free of cost, it must also come with an open data license, the most common types of which are also reviewed in this paper….(More)”.

Pessimism v progress


The Economist: “Faster, cheaper, better—technology is one field many people rely upon to offer a vision of a brighter future. But as the 2020s dawn, optimism is in short supply. The new technologies that dominated the past decade seem to be making things worse. Social media were supposed to bring people together. In the Arab spring of 2011 they were hailed as a liberating force. Today they are better known for invading privacy, spreading propaganda and undermining democracy. E-commerce, ride-hailing and the gig economy may be convenient, but they are charged with underpaying workers, exacerbating inequality and clogging the streets with vehicles. Parents worry that smartphones have turned their children into screen-addicted zombies.

The technologies expected to dominate the new decade also seem to cast a dark shadow. Artificial intelligence (ai) may well entrench bias and prejudice, threaten your job and shore up authoritarian rulers (see article). 5g is at the heart of the Sino-American trade war. Autonomous cars still do not work, but manage to kill people all the same. Polls show that internet firms are now less trusted than the banking industry. At the very moment banks are striving to rebrand themselves as tech firms, internet giants have become the new banks, morphing from talent magnets to pariahs. Even their employees are in revolt.

The New York Times sums up the encroaching gloom. “A mood of pessimism”, it writes, has displaced “the idea of inevitable progress born in the scientific and industrial revolutions.” Except those words are from an article published in 1979. Back then the paper fretted that the anxiety was “fed by growing doubts about society’s ability to rein in the seemingly runaway forces of technology”.

Today’s gloomy mood is centred on smartphones and social media, which took off a decade ago. Yet concerns that humanity has taken a technological wrong turn, or that particular technologies might be doing more harm than good, have arisen before. In the 1970s the despondency was prompted by concerns about overpopulation, environmental damage and the prospect of nuclear immolation. The 1920s witnessed a backlash against cars, which had earlier been seen as a miraculous answer to the affliction of horse-drawn vehicles—which filled the streets with noise and dung, and caused congestion and accidents. And the blight of industrialisation was decried in the 19th century by Luddites, Romantics and socialists, who worried (with good reason) about the displacement of skilled artisans, the despoiling of the countryside and the suffering of factory hands toiling in smoke-belching mills….(More)”.

Missions: A beginner's guide


UCL Institute for Innovation and Public Purpose: “…The 21st century is becoming increasingly defined by the need to respond to major issues facing society, the environment around us and the possibility of developing a prosperous equal economy. Sometimes referred to as ‘grand challenges’, these include climate change, ageing societies, preventative healthcare, and generating sustainable growth for the benefit of all.

Innovation has not just a rate but also a direction. How that direction is set — not just by the government but by different actors and socio-political forces — is a key aspect of IIPP’s work. But how should we decide which direction? We use the concept of public value as a way to think about which direction innovation and industrial policy takes. Public value is value that is created collectively for a public purpose — this requires citizens to engage in defining purpose, nurturing capabilities and capacities, assess the value created, and ensure that societal value is distributed equitably…(More)”.