Governance Indicators Approaches, Progress, Promise


Book by Helmut K. Anheier, Matthias Haber and Mark A. Kayser: “As difficult as it might seem to define governance, it appears to be that much more difficult to measure it. Since the World Bank Institute launched the Worldwide Governance Indicators in the late 1990s, the governance indicators field has flourished and experienced significant advances in terms of methodology, data coverage and quality, and policy relevance. Other major initiatives have added to a momentum that propelled research on governance indicators seen in few other academic fields in the economic and social sciences. Given these developments and the prominence and policy relevance the field of governance indicator research has achieved, the time is ripe to take stock and ask what has been accomplished, what the shortcomings and potentials might be, and what steps present themselves as a way forward.

This volume– the fifth edition in an annual series tackling different aspects of governance around the world– assesses what has been achieved, identifies strengths and weaknesses of current work, and points to issues that need to be tackled in order to advance the field, both in its academic importance as well as in its policy relevance. In short, the contributions to this volume explore the scope of existing governance indices and indicator frameworks, elaborate on current challenges in measuring and analysing governance, and consider how to overcome them….(More)”.

Farsighted


Book by Steven Johnson: “Big, life-altering decisions matter so much more than the decisions we make every day, and they’re also the most difficult: where to live, whom to marry, what to believe, whether to start a company, how to end a war. There’s no one-size-fits-all approach for addressing these kinds of conundrums.

Steven Johnson’s classic Where Good Ideas Come From inspired creative people all over the world with new ways of thinking about innovation. In Farsighted, he uncovers powerful tools for honing the important skill of complex decision-making. While you can’t model a once-in-a-lifetime choice, you can model the deliberative tactics of expert decision-makers. These experts aren’t just the master strategists running major companies or negotiating high-level diplomacy. They’re the novelists who draw out the complexity of their characters’ inner lives, the city officials who secure long-term water supplies, and the scientists who reckon with future challenges most of us haven’t even imagined. The smartest decision-makers don’t go with their guts. Their success relies on having a future-oriented approach and the ability to consider all their options in a creative, productive way.

Through compelling stories that reveal surprising insights, Johnson explains how we can most effectively approach the choices that can chart the course of a life, an organization, or a civilization. Farsighted will help you imagine your possible futures and appreciate the subtle intelligence of the choices that shaped our broader social history….(More)”.

The rise of policy innovation labs: A catalog of policy innovation labs across Canada


Report by the Centre for Policy Innovation and Public Engagement (CPIPE): “In recent years, governments all over the world have been embracing new and innovative ways to develop public policies and design public services, from crowdsourcing to human-centred design thinking. This trend in government innovation has led to the rise of the Policy Innovation Lab (PIL): individual units, both inside and outside of government, that apply the traditional principles of scientific laboratories – experimentation, testing, and measurement – to social problems.

PILs are an increasingly important development in public policy making, with a variety of methods and approaches to building relationships between governments, organizations, and citizens, and generating ideas and designing policy. Yet, these labs are under-researched: many are established without a full understanding of their role and value to the policy community. We aim to address this knowledge gap, and create opportunities where policy innovators can make connections with their peers and learn about the current practices and applications of policy innovation from one another.

This report identifies the innovation labs in Canada, profiling their methodologies, projects, and partners, mapping the policy innovation landscape across the country. Each one-page summary provides a profile for each lab, and highlights the existing innovation practices and networks in the public, academic, non-profit, and private sectors, and identifies methodological and ideological trends across the different labs and networks.

This report is the first of its kind in North America. In this highly dynamic space, new labs are emerging and disappearing all the time. The purpose of this report is to put a spotlight on policy innovations and their successes, and to build and strengthen connections between researchers, policymakers, and policy innovators. Through a strengthened and sustained community of practice, we hope to see governments continue to embrace new approaches for effective policymaking…(More)”.

The rise of public sector innovation labs: experiments in design thinking for policy


Paper by Michael McGann, Emma Blomkamp and Jenny M. Lewis in Policy Sciences: “Governments are increasingly turning to public sector innovation (PSI) labs to take new approaches to policy and service design. This turn towards PSI labs, which has accelerated in more recent years, has been linked to a number of trends. These include growing interest in evidence-based policymaking and the application of ‘design thinking’ to policymaking, although these trends sit uncomfortably together. According to their proponents, PSI labs are helping to create a new era of experimental government and rapid experimentation in policy design.

But what do these PSI labs do? How do they differ from other public sector change agents and policy actors? What approaches do they bring to addressing contemporary policymaking? And how do they relate to other developments in policy design such as the growing interest in evidence-based policy and design experiments? The rise of PSI labs has thus far received little attention from policy scientists. Focusing on the problems associated with conceptualising PSI labs and clearly situating them in the policy process, this paper provides an analysis of some of the most prominent PSI labs. It examines whether labs can be classified into distinct types, their relationship to government and other policy actors and the principal methodological practices and commitments underpinning their approach to policymaking. Throughout, the paper considers how the rise of PSI labs may challenge positivist framings of policymaking as an empirically driven decision process….(More)”.

‘Politics done like science’: Critical perspectives on psychological governance and the experimental state


Paper by  and  There has been a growing academic recognition of the increasing significance of psychologically – and behaviourally – informed modes of governance in recent years in a variety of different states. We contend that this academic research has neglected one important theme, namely the growing use of experiments as a way of developing and testing novel policies. Drawing on extensive qualitative and documentary research, this paper develops critical perspectives on the impacts of the psychological sciences on public policy, and considers more broadly the changing experimental form of modern states. The tendency for emerging forms of experimental governance to be predicated on very narrow, socially disempowering, visions of experimental knowledge production is critiqued. We delineate how psychological governance and emerging forms of experimental subjectivity have the potential to enable more empowering and progressive state forms and subjectivities to emerge through more open and collective forms of experimentation…(More)”.

From #Resistance to #Reimagining governance


Stefaan G. Verhulst in Open Democracy: “…There is no doubt that #Resistance (and its associated movements) holds genuine transformative potential. But for the change it brings to be meaningful (and positive), we need to ask the question: What kind of government do we really want?

Working to maintain the status quo or simply returning to, for instance, a pre-Trump reality cannot provide for the change we need to counter the decline in trust, the rise of populism and the complex social, economic and cultural problems we face. We need a clear articulation of alternatives.  Without such an articulation, there is a danger of a certain hollowness and dispersion of energies. The call for #Resistance requires a more concrete –and ultimately more productive – program that is concerned not just with rejecting or tearing down, but with building up new institutions and governance processes. What’s needed, in short, is not simply #Resistance.

Below, I suggest six shifts that can help us reimagine governance for the twenty-first century. Several of these shifts are enabled by recent technological changes (e.g., the advent of big data, blockchain and collective intelligence) as well as other emerging methods such as design thinking, behavioral economics, and agile development.

Some of the shifts I suggest have been experimented with, but they have often been developed in an ad hoc manner without a full understanding of how they could make a more systemic impact. Part of the purpose of this paper is to begin the process of a more systematic enquiry; the following amounts to a preliminary outline or blueprint for reimagined governance for the twenty-first century.

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  • Shift 1: from gatekeeper to platform…
  • Shift 2: from inward to user-and-problem orientation…
  • Shift 3: from closed to open…
  • Shift 4: from deliberation to collaboration and co-creation…
  • Shift 5: from ideology to evidence-based…
  • Shift 6: from centralized to distributed… (More)

Understanding Design Thinking, Lean, and Agile


Free ebook by Jonny Schneider: “Highly touted methodologies, such as Agile, Lean, and Design Thinking, leave many organizations bamboozled by an unprecedented array of processes, tools, and methods for digital product development. Many teams meet their peril trying to make sense of these options. How do the methods fit together to achieve the right outcome? What’s the best approach for your circumstances?

In this insightful report, Jonny Schneider from ThoughtWorks shows you how to diagnose your situation, understand where you need more insight to move forward, and then choose from a range of tactics that can move your team closer to clarity.

Blindly applying any model, framework, or method seldom delivers the desired result. Agile began as a better answer for delivering software. Lean focuses on product success. And Design Thinking is an approach for exploring opportunities and problems to solve. This report shows you how to evaluate your situation before committing to one, two, or all three of these techniques.

  • Understand how design thinking, the lean movement, and agile software development can make a difference
  • Define your beliefs and assumptions as well as your strategy
  • Diagnose the current condition and explore possible futures
  • Decide what to learn, and how to learn it, through fast research and experimentation
  • Decentralize decisions with purpose-driven, collaborative teams
  • Prioritize and measure value by responding to customer demand…(More)”

Measuring Tomorrow: Accounting for Well-Being, Resilience, and Sustainability in the Twenty-First Century


Book by Éloi Laurent on “How moving beyond GDP will improve well-being and sustainability…Never before in human history have we produced so much data, and this empirical revolution has shaped economic research and policy profoundly. But are we measuring, and thus managing, the right things—those that will help us solve the real social, economic, political, and environmental challenges of the twenty-first century? In Measuring Tomorrow, Éloi Laurent argues that we need to move away from narrowly useful metrics such as gross domestic product and instead use broader ones that aim at well-being, resilience, and sustainability. By doing so, countries will be able to shift their focus away from infinite and unrealistic growth and toward social justice and quality of life for their citizens.

The time has come for these broader metrics to become more than just descriptive, Laurent argues; applied carefully by private and public decision makers, they can foster genuine progress. He begins by taking stock of the booming field of well-being and sustainability indicators, and explains the insights that the best of these can offer. He then shows how these indicators can be used to develop new policies, from the local to the global….(More)”.

Spotting the Patterns: 2017 Trends in Design Thinking


Andy Hagerman at Stanford Social Innovation Review: “Design thinking: It started as an academic theory in the 60’s, a notion of starting to look at broader types of challenges with the intention and creativity that designers use to tackle their work. It gained widespread traction as a product design process, has been integrated into culture change initiatives of some of the world’s most important organizations and governments, and has been taught in schools kindergarten to grad school. It’s been celebrated, criticized, merged with other methodologies, and modified for nearly every conceivable niche.

Regardless of what side of those perspectives you fall on, it’s undeniable that design thinking is continuing to grow and evolve. Looking across the social innovation landscape today, we see a few patterns that, taken together, suggest that social innovators continue to see great promise in design thinking. They are working to find ways to make it yield real performance gains for their organizations and clients.

From design thinking to design doing

Creative leaders have moved beyond increasing people’s awareness of design thinking to actively seeking concrete opportunities for using it. One of the principal drivers of this shift has been the need to demonstrate value and return on investment from design-thinking initiatives—something people have talked about for years. (Ever heard the question, “Is design thinking just the next fad?”) Social sector organizations, in particular, stand to benefit from the shift from design thinking to design doing. Timelines for getting things built in the social sector are often slow, due to legitimate constraints of responsibly doing impact work, as well as to legacy practices and politics. As long as organizations use design thinking responsibly and acknowledge the broader systems in which new ideas live, some of the emerging models can help them move projects along more quickly and gain greater stakeholder participation….

Building cultures around design thinking

As design thinking has proliferated, many organizational leaders have moved from replicating the design thinking programs of academic institutions like the Stanford d.School or foundational agencies like IDEO to adapting the methodology to their own goals, external environments, and organizational cultures.

One organization that has particularly inspired us is Beespace, a New York City-based social-impact foundation. Beespace has designed a two-year program that helps new organizations not only get off the ground, but also create the conditions for breakthrough innovation. To create this program, which combines deep thinking, impact assessment, and rapid prototyping, Beespace’s leadership asked itself what tools it would need, and came up with a mix that included not just design thinking, but also disciplines of behavioral science and systems thinking, and tools stemming from emotional intelligence and theory of change….

Empowering the few to shift the many

We have seen a lot of interest this year in “train the trainer” programs, particularly from organizations realizing the value of developing their internal capabilities to reduce reliance on outside consultants. Such development often entails focusing on the few people in the organization who are highly capable of instigating major change, as opposed to spreading awareness among the many. It takes time and resources, but the payoff is well worth it from both cultural and operational perspectives….(More)”.

“Nudge units” – where they came from and what they can do


Zeina Afif at the Worldbank: “You could say that the first one began in 2009, when the US government recruited Cass Sunstein to head The Office of Information and Regulatory Affairs (OIRA) to streamline regulations. In 2010, the UK established the first Behavioural Insights Unit (BIT) on a trial basis, under the Cabinet Office. Other countries followed suit, including the US, Australia, Canada, Netherlands, and Germany. Shortly after, countries such as India, Indonesia, Peru, Singapore, and many others started exploring the application of behavioral insights to their policies and programs. International institutions such as the World Bank, UN agencies, OECD, and EU have also established behavioral insights units to support their programs. And just this month, the Sustainable Energy Authority of Ireland launched its own Behavioral Economics Unit.

The Future
As eMBeD, the behavioral science unit at the World Bank, continues to support governments across the globe in the implementation of their units, here are some common questions we often get asked.

What are the models for a Behavioral Insights Unit in Government?
As of today, over a dozen countries have integrated behavioral insights with their operations. While there is not one model to prescribe, the setup varies from centralized or decentralized to networked….

In some countries, the units were first established at the ministerial level. One example is MineduLab in Peru, which was set up with eMBeD’s help. The unit works as an innovation lab, testing rigorous and leading research in education and behavioral science to address issues such as teacher absenteeism and motivation, parents’ engagement, and student performance….

What should be the structure of the team?
Most units start with two to four full-time staff. Profiles include policy advisors, social psychologists, experimental economists, and behavioral scientists. Experience in the public sector is essential to navigate the government and build support. It is also important to have staff familiar with designing and running experiments. Other important skills include psychology, social psychology, anthropology, design thinking, and marketing. While these skills are not always readily available in the public sector, it is important to note that all behavioral insights units partnered with academics and experts in the field.

The U.S. team, originally called the Social and Behavioral Sciences Team, is staffed mostly by seconded academic faculty, researchers, and other departmental staff. MineduLab in Peru partnered with leading experts, including the Abdul Latif Jameel Poverty Action Lab (J-PAL), Fortalecimiento de la Gestión de la Educación (FORGE), Innovations for Poverty Action (IPA), and the World Bank….(More)”