Was vTaiwan such a big flop, after all?


Blog by Beth Noveck: “A recent issue of the Daily Beast featured an article about vTaiwan, Taiwan’s flagship crowdlaw project to engage the public in the legislative process, reporting what I long suspected and feared: early success has not translated into lasting impact or institutionalization of public participation in policymaking.

“The platform hasn’t been used for any major decisions since 2018” said vTaiwan co-creator and former Taiwanese legislator Jason Hsu. He went on to add that: “since the government is not mandated to adopt recommendations coming from vTaiwan, ‘legislators don’t take it seriously.’”

After vTaiwan enabled over two hundred thousand people to participate in crafting 26 pieces of national legislation, advocates for tech and democracy hailed this four-stage online and offline deliberative process as the poster child of tech-enabled public engagement. We celebrated vTaiwan as evidence of the powerful potential for meaningful public participation in governance.

vTaiwan began with a proposal stage, with offline and online discussion of problems using a series of different tools for deliberation and frequent polling.This collaborative problem-definition process, which lasted from a few weeks to a year, helped a large number of people to agree on and define which problems should be tackled.

While disappointing, vTaiwan is not unique in failing to deliver on the promise of tech-enabled participation. As my GovLab colleagues and I reported last year, Madrid’s online engagement platform Decide Madrid attracted almost half a million sign-ups. But of the 28,000 legislative proposals submitted by residents since 2015, only one became policy. Sign-ups have declined dramatically.

Online public engagements fizzle for a variety of reasons…(More)”.

Boston experimented with using generative AI for governing. It went surprisingly well


Article by Santiago Garces and Stephen Goldsmith: “…we see the possible advances of generative AI as having the most potential. For example, Boston asked OpenAI to “suggest interesting analyses” after we uploaded 311 data. In response, it suggested two things: time series analysis by case time, and a comparative analysis by neighborhood. This meant that city officials spent less time navigating the mechanics of computing an analysis, and had more time to dive into the patterns of discrepancy in service. The tools make graphs, maps, and other visualizations with a simple prompt. With lower barriers to analyze data, our city officials can formulate more hypotheses and challenge assumptions, resulting in better decisions.

Not all city officials have the engineering and web development experience needed to run these tests and code. But this experiment shows that other city employees, without any STEM background, could, with just a bit of training, utilize these generative AI tools to supplement their work.

To make this possible, more authority would need to be granted to frontline workers who too often have their hands tied with red tape. Therefore, we encourage government leaders to allow workers more discretion to solve problems, identify risks, and check data. This is not inconsistent with accountability; rather, supervisors can utilize these same generative AI tools, to identify patterns or outliers—say, where race is inappropriately playing a part in decision-making, or where program effectiveness drops off (and why). These new tools will more quickly provide an indication as to which interventions are making a difference, or precisely where a historic barrier is continuing to harm an already marginalized community.  

Civic groups will be able to hold government accountable in new ways, too. This is where the linguistic power of large language models really shines: Public employees and community leaders alike can request that tools create visual process maps, build checklists based on a description of a project, or monitor progress compliance. Imagine if people who have a deep understanding of a city—its operations, neighborhoods, history, and hopes for the future—can work toward shared goals, equipped with the most powerful tools of the digital age. Gatekeepers of formerly mysterious processes will lose their stranglehold, and expediters versed in state and local ordinances, codes, and standards, will no longer be necessary to maneuver around things like zoning or permitting processes. 

Numerous challenges would remain. Public workforces would still need better data analysis skills in order to verify whether a tool is following the right steps and producing correct information. City and state officials would need technology partners in the private sector to develop and refine the necessary tools, and these relationships raise challenging questions about privacy, security, and algorithmic bias…(More)”

GovTech in Fragile and Conflict Situations Trends, Challenges, and Opportunities


Report by the World Bank: “This report takes stock of the development of GovTech solutions in Fragile and Conflict-Affected Situations (FCS), be they characterized by low institutional capacity and/or by active conflict and provides insights on challenges and opportunities for implementing GovTech reforms in such contexts. It is aimed at practitioners and policy makers working in FCS but will also be useful for practitioners working in Fragility, Conflict, and Violence (FCV) contexts, at-risk countries, or low-income countries as some similar challenges and opportunities can be present…(More)”.

Design Thinking Misses the Mark


Article by Anne-Laure Fayard & Sarah Fathallah: “Nonprofits, governments, and international agencies often turn to design thinking to tackle complex social challenges and develop innovative solutions with—rather than for—people. Design thinking was conceptualized by designer Nigel Cross more than four decades ago, notably in the 1982 Design Studies article Designerly Ways of Knowing.” The approach was later packaged for popular consumption by global design and innovation consultancy IDEO. Design thinking quickly became the go-to innovation tool kit in the for-profit world—and, soon after, in the international development and social sectors—because of its commitment to center communities in the collaborative design process.

IDEO’s then-CEO Tim Brown and Jocelyn Wyatt, who was then lead of the IDEO social innovation group that became IDEO.org, championed design thinking for the social sector in their 2010 Stanford Social Innovation Review article, “Design Thinking for Social Innovation,” which has become an important reference for design thinking in the social sector. Embraced by high-profile philanthropists like Bill & Melinda Gates Foundation cofounder Melinda Gates and Acumen founder and CEO Jacqueline Novogratz, design thinking soared in popularity because it promised to deliver profound societal change. Brown even claimed, in a 2014 Harvard Business Review article, that design thinking could improve democratic capitalism.

However, design thinking has not lived up to such promises. In a 2023 MIT Technology Review article, writer and designer Rebecca Ackerman argued that while “design thinking was supposed to fix the world,” organizations rarely implement the ideas generated during the design-thinking process. The failure to implement these ideas resulted from either an inadequate understanding of the problem and/or of the complexities of the institutional and cultural contexts…(More)”.

Social Economy Science


Open Access Book edited by Gorgi Krlev, Dominika Wruk, Giulio Pasi, and Marika Bernhard: “Lack of progress in the area of global sustainable development and difficulties in crisis management highlight the need to transform the economy and find new ways of making society more resilient. The social economy is increasingly recognized as a driver of such transformations; it comprises traditional forms of cooperative or solidarity-based organizations alongside new phenomena such as impact investing or social tech ventures that aim to contribute to the public good. Social Economy Science provides the first comprehensive analysis of why and how social economy organizations create superior value for society. The book draws on organizational theory and transition studies to provide a systematic perspective on complex multi-stakeholder forms of action. It discusses the social economy’s role in promoting innovation for impact, as well as its role as an agent of societal change and as a partner to businesses, governments, and citizens…(More)”.

Creating a Citizen Participation Service and other ideas


Paper by Kathy Peach: “…This paper explains how public participation can improve national policy, long-term decision making and increase democratic legitimacy and trust.

Taking a practical approach it examines how the wide range of tools available for harnessing citizen’s collective intelligence and explores how, and in what circumstances, they can best be used.

Examining how public participation can be embedded in climate policy at a national level, it suggests three models for restructuring central government – a Public Participation Secretariat, new public bodies and at most ambitious, a Citizen Participation Service.

Finally, it outlines the contours of a flagship participation programme for climate policy covering digital infrastructure, citizen science, participatory budgeting and other proposals…(More)”.

Indigenous Peoples and Local Communities Are Using Satellite Data to Fight Deforestation


Article by Katie Reytar, Jessica Webb and Peter Veit: “Indigenous Peoples and local communities hold some of the most pristine and resource-rich lands in the world — areas highly coveted by mining and logging companies and other profiteers.  Land grabs and other threats are especially severe in places where the government does not recognize communities’ land rights, or where anti-deforestation and other laws are weak or poorly enforced. It’s the reason many Indigenous Peoples and local communities often take land monitoring into their own hands — and some are now using digital tools to do it. 

Freely available satellite imagery and data from sites like Global Forest Watch and LandMark provide near-real-time information that tracks deforestation and land degradation. Indigenous and local communities are increasingly using tools like this to gather evidence that deforestation and degradation are happening on their lands, build their case against illegal activities and take legal action to prevent it from continuing.  

Three examples from Suriname, Indonesia and Peru illustrate a growing trend in fighting land rights violations with data…(More)”.

The public good of statistics – narratives from around the world


Blog by Ken Roy:” I have been looking at some of the narratives used by bodies producing Official Statistics – specifically those in a sample of recent strategies and business plans from different National Statistical Offices. Inevitably these documents focus on planned programmes of work – the key statistical outputs, the technical and methodological investments etc – and occasionally on interesting things like budgets.

When these documents touch on the rationale for (or purpose of) Official Statistics, one approach is to present Official Statistics as a ‘right’ of citizens or as essential national infrastructure. For example Statistics Finland frame Official Statistics as “our shared national capital”. A further common approach is to reference the broad purpose of improved decision making – Statistics Canada has the aim that “Canadians have the key information they need to make evidence-based decisions.”

Looking beyond these high-level statements, I was keen to find any further, more specific, expressions of real-world impacts. The following sets out some initial groups of ideas and some representative quotes.

In terms of direct impacts for citizens, some strategies have a headline aim that citizens are knowledgeable about their world – Statistics Iceland aims to enable an “informed society”. A slightly different ambition is that different groups of citizens are represented or ‘seen’ by Official Statistics. The UK Statistics Authority aims to “reflect the experiences of everyone in our society so that everyone counts, and is counted, and no one is forgotten”. There are also references to the role of Official Statistics (and data more broadly) in empowering citizens – most commonly through giving them the means to hold government to account. One of the headline aims of New Zealand’s Data Investment Plan is that “government is held to account through a robust and transparent data system”.

Also relevant to citizens is the ambition for Official Statistics to enable healthy, informed public debate – one aim of the Australian Bureau of Statistics is that their work will “provide reliable information on a range of matters critical to public debate”.

Some narratives hint at the contribution of Official Statistics systems to national economic success. Stats NZ notes that “the integrity of official data can have wide-ranging implications … such as the interest charged on government borrowing.” The Papua New Guinea statistics office references a focus on “private sector investors who want to use data and statistics to aid investment decisions”.

Finally, we come to governments. Official Statistics are regularly presented as essential to a better, more effective, government process – through establishing understanding of the circumstances and needs of citizens, businesses and places and hence supporting the development and implementation of better policies, programmes and services in response. The National Bureau of Statistics (Tanzania) sees Official Statistics as enabling “evidence-based formulation, planning, monitoring and evaluation which are key in the realization of development aspirations.” A related theme is the contribution to good governance – the United Nations presents Official Statistics as “an essential element of the accountability of governments and public bodies to the public in a democratic society…(More)”.

Science and the State 


Introduction to Special Issue by Alondra Nelson et al: “…Current events have thrown these debates into high relief. Pressing issues from the pandemic to anthropogenic climate change, and the new and old inequalities they exacerbate, have intensified calls to critique but also imagine otherwise the relationship between scientific and state authority. Many of the subjects and communities whose well-being these authorities claim to promote have resisted, doubted, and mistrusted technoscientific experts and government officials. How might our understanding of the relationship change if the perspectives and needs of those most at risk from state and/or scientific violence or neglect were to be centered? Likewise, the pandemic and climate change have reminded scientists and state officials that relations among states matter at home and in the world systems that support supply chains, fuel technology, and undergird capitalism and migration. How does our understanding of the relationship between science and the state change if we eschew the nationalist framing of the classic Mertonian formulation and instead account for states in different parts of the world, as well as trans-state relationships?
This special issue began as a yearlong seminar on Science and the State convened by Alondra Nelson and Charis Thompson at the Institute for Advanced Study in Princeton, New Jersey. During the 2020–21 academic year, seventeen scholars from four continents met on a biweekly basis to read, discuss, and interrogate historical and contemporary scholarship on the origins, transformations, and sociopolitical
consequences of different configurations of science, technology, and governance. Our group consisted of scholars from different disciplines, including sociology, anthropology, philosophy, economics, history, political science, and geography. Examining technoscientific expertise and political authority while experiencing the conditions of the pandemic exerted a heightened sense of the stakes concerned and forced us to rethink easy critiques of scientific knowledge and state power. Our affective and lived experiences of the pandemic posed questions about what good science and good statecraft could be. How do we move beyond a presumption of isomorphism between “good” states and “good” science to understand and study the uneven experiences and sometimes exploitative practices of different configurations of science and the state?…(More)”.

The Time is Now: Establishing a Mutual Commitment Framework (MCF) to Accelerate Data Collaboratives


Article by Stefaan Verhulst, Andrew Schroeder and William Hoffman: “The key to unlocking the value of data lies in responsibly lowering the barriers and shared risks of data access, re-use, and collaboration in the public interest. Data collaboratives, which foster responsible access and re-use of data among diverse stakeholders, provide a solution to these challenges.

Today, however, setting up data collaboratives takes too much time and is prone to multiple delays, hindering our ability to understand and respond swiftly and effectively to urgent global crises. The readiness of data collaboratives during crises faces key obstacles in terms of data use agreements, technical infrastructure, vetted and reproducible methodologies, and a clear understanding of the questions which may be answered more effectively with additional data.

Organizations aiming to create data collaboratives often face additional challenges, as they often lack established operational protocols and practices which can streamline implementation, reduce costs, and save time. New regulations are emerging that should help drive the adoption of standard protocols and processes. In particular, the EU Data Governance Act and the forthcoming Data Act aim to enable responsible data collaboration. Concepts like data spaces and rulebooks seek to build trust and strike a balance between regulation and technological innovation.

This working paper advances the case for creating a Mutual Commitment Framework (MCF) in advance of a crisis that can serve as a necessary and practical means to break through chronic choke points and shorten response times. By accelerating the establishment of operational (and legally cognizable) data collaboratives, duties of care can be defined and a stronger sense of trust, clarity, and purpose can be instilled among participating entities. This structured approach ensures that data sharing and processing are conducted within well-defined, pre-authorized boundaries, thereby lowering shared risks and promoting a conducive environment for collaboration…(More)”.