Guide to Digital Participation Platforms


Guide by People Powered: “In the past decade, it has become increasingly common to engage citizens in various aspects of government via online platforms. In fact, in the release of their most recent data, the publishers of the PB Atlas reported an “accelerating trend toward the digitalization of participatory budgeting,” spurred on by the COVID pandemic.

To satisfy this demand, several comprehensive digital participation platforms have emerged. They help governments, civil society groups, and other institutions engage residents in all types and stages of participatory processes, ranging from planning and budgeting to citizens’ assemblies and the drafting of legislation. 

While we often think of such technological platforms in the context of advanced democracies, they have been used to facilitate participatory decision-making in a wide variety of contexts.

At their best, platforms enable decision-makers or communities to manage:

  • Community and stakeholder engagement.
  • Collective deliberation and decision-making.
  • Public communication.
  • Project tracking and monitoring.
  • Internal coordination.

If you are looking to engage your community through a digital platform, this guide is for you. It explains what they are and shows you how to choose, set up, and run them. We’ve reviewed hundreds of participatory democracy tools and platforms, and this guide shares a limited subset for your consideration (see our Digital Participation Platforms Matrix)…(More)”.

An archaeology of innovation: Approaching social and technological change in human society


Book by Catherine J. Frieman: “This book is the first monograph-length investigation of innovation and the innovation process from an archaeological perspective. We live in a world where innovation, innovativeness, creativity, and invention are almost laughably over-used buzzwords. Yet comparatively little research has been carried out on the long-term history of innovation beyond and before the Industrial Revolution. This monograph offers both a response and a sort of answer to the wider trans-disciplinary dialogue on innovation, invention, and technological and social change. The idea of innovation that permeates our popular media and our political and scientific discourse is set against the long-term perspective that only archaeology can offer in dialogue with a range of social theory about the development of new technologies and social structures. The book offers a new version of the story of human inventiveness from our earliest hominin ancestors to the present day. In doing so, it challenges the contemporary lionization of disruptive technologies, while also setting the post-Industrial-Revolution innovation boom into a deeper temporal and wider cultural context. It argues that the present narrow focus on pushing the adoption of technical innovations ignores the complex interplay of social, technological, and environmental systems that underlies truly innovative societies; the inherent connections between new technologies, technologists, and social structure that give them meaning and make them valuable; and the significance and value of conservative social practices that lead to the frequent rejection of innovations…(More)”.

The Voltage Effect


Book by John A. List: “Scale” has become a favored buzzword in the startup world. But scale isn’t just about accumulating more users or capturing more market share. It’s about whether an idea that takes hold in a small group can do the same in a much larger one—whether you’re growing a small business, rolling out a diversity and inclusion program, or delivering billions of doses of a vaccine. 

Translating an idea into widespread impact, says University of Chicago economist John A. List, depends on one thing only: whether it can achieve “high voltage”—the ability to be replicated at scale. 

In The Voltage Effect, List explains that scalable ideas share a common set of attributes, while any number of attributes can doom an unscalable idea. Drawing on his original research, as well as fascinating examples from the realms of business, policymaking, education, and public health, he identifies five measurable vital signs that a scalable idea must possess, and offers proven strategies for avoiding voltage drops and engineering voltage gains. You’ll learn:

  How celebrity chef Jamie Oliver expanded his restaurant empire by focusing on scalable “ingredients” (until it collapsed because talent doesn’t scale)
  Why the failure to detect false positives early on caused the Reagan-era drug-prevention program to backfire at scale
  How governments could deliver more services to more citizens if they focused on the last dollar spent
  How one education center leveraged positive spillovers to narrow the achievement gap across the entire community
  Why the right set of incentives, applied at scale, can boost voter turnout, increase clean energy use, encourage patients to consistently take their prescribed medication, and more…(More)”.

Oversight Board publishes policy advisory opinion on the sharing of private residential information


Press Release by Oversight Board: “Last year, Meta requested a policy advisory opinion from the Board on the sharing of private residential addresses and images, and the contexts in which this information may be published on Facebook and Instagram. Meta considers this to be a difficult question as while access to such information can be relevant to journalism and civic activism, “exposing this information without consent can create a risk to residents’ safety and infringe on an individual’s privacy.”

Meta’s request noted several potential harms linked to releasing personal information, including residential addresses and images. These include “doxing,” (which refers to the release of documents, abbreviated as “dox”) where information which can identify someone is revealed online. Meta noted that doxing can have negative real-world consequences, such as harassment or stalking…

The Board understands that the sharing of private residential addresses and images represents a potentially serious violation of the right to privacy both for people who use Facebook and Instagram, and those who do not.

Once this information is shared, the harms that can result, such as doxing, are difficult to remedy. Harms resulting from doxing disproportionately affect groups such as women, children and LGBTQIA+ people, and can include emotional distress, loss of employment and even physical harm or death.

As the potential for harm is particularly context specific, it is challenging to develop objective and universal indicators that would allow content reviewers to distinguish the sharing of content that would be harmful from shares that would not be. That is why the Board believes that the Privacy Violations policy should be more protective of privacy.

International human rights standards permit necessary and proportionate restrictions on expression to protect people’s right to privacy. As such, the Board favors narrowing the exceptions to the Privacy Violations policy to help Meta better protect the private residential information of people both on and off its platforms.

In exchanges with the Board, Meta stressed that “ensuring that the “publicly available” definition does not exempt content from removal that poses a risk of offline harm” is a “persistent concern.” Public records and other sources of what could be considered “publicly available” information still require resources and effort to be accessed by the general public. On social media, however, such information may be shared and accessed more quickly, and on a much bigger scale, which significantly increases the risk of harm. As such, the Board proposes removing the “publicly available” exception for the sharing of both private residential addresses and images that meet certain criteria….(More)”.

The Use Of Digitalisation and Artificial Intelligence in Migration Management


Joint EMN-OECD inform: “…In view of the dynamic nature of the migration policy landscape and in the context of the new Pact on Migration and Asylum, this series explores existing trends, innovative methods and approaches in migration management and will be used as a basis for further policy reflection at EU level. 

This inform builds on trends identified in the EMN-OECD series on migration management informs on COVID-19 in the migration area. Its scope includes EU Member States, EMN observer countries as well as OECD countries. This inform aims to explore the role of new digital technologies in the management of migration and asylum. It focuses on a number of specific areas in migration, acquisition of citizenship, asylum procedures and border control management where digital technologies may be used (e.g. digitalisation of application processes, use of video conferencing for remote interviews, use of artificial intelligence (AI) to assist decision making processes, use of blockchain technology). It also considers the implications of using these types of technologies on fundamental rights…(More)”.

Crowdsourcing research questions in science


Paper by Susanne Beck, Tiare-Maria Brasseur, Marion Poetz and Henry Sauermann: “Scientists are increasingly crossing the boundaries of the professional system by involving the general public (the crowd) directly in their research. However, this crowd involvement tends to be confined to empirical work and it is not clear whether and how crowds can also be involved in conceptual stages such as formulating the questions that research is trying to address. Drawing on five different “paradigms” of crowdsourcing and related mechanisms, we first discuss potential merits of involving crowds in the formulation of research questions (RQs). We then analyze data from two crowdsourcing projects in the medical sciences to describe key features of RQs generated by crowd members and compare the quality of crowd contributions to that of RQs generated in the conventional scientific process. We find that the majority of crowd contributions are problem restatements that can be useful to assess problem importance but provide little guidance regarding potential causes or solutions. At the same time, crowd-generated research questions frequently cross disciplinary boundaries by combining elements from different fields within and especially outside medicine. Using evaluations by professional scientists, we find that the average crowd contribution has lower novelty and potential scientific impact than professional research questions, but comparable practical impact. Crowd contributions outperform professional RQs once we apply selection mechanisms at the level of individual contributors or across contributors. Our findings advance research on crowd and citizen science, crowdsourcing and distributed knowledge production, as well as the organization of science. We also inform ongoing policy debates around the involvement of citizens in research in general, and agenda setting in particular.Author links open overlay panel…(More)”.

Data Innovation in Demography, Migration and Human Mobility


Report by Bosco, C., Grubanov-Boskovic, S., Iacus, S., Minora, U., Sermi, F. and Spyratos, S.: “With the consolidation of the culture of evidence-based policymaking, the availability of data has become central for policymakers. Nowadays, innovative data sources have offered opportunity to describe more accurately demographic, mobility- and migration- related phenomena by making available large volumes of real-time and spatially detailed data. At the same time, however, data innovation has brought up new challenges (ethics, privacy, data governance models, data quality) for citizens, statistical offices, policymakers and the private sector.

Focusing on the fields of demography, mobility and migration studies, the aim of this report is to assess the current state of utilisation of data innovation in the scientific literature as well as to identify areas in which data innovation has the most concrete potential for policymaking. For that purpose, this study has reviewed more than 300 articles and scientific reports, as well as numerous tools, that employed non-traditional data sources for demographic, human mobility or migration research.The specific findings of our report contribute to a discussion on a) how innovative data is used in respect to traditional data sources; b) domains in which innovative data have the highest potential to contribute to policymaking; c) prospects for an innovative data transition towards systematic contribution to official statistics and policymaking…(More)”. See also Big Data for Migration Alliance.

COVID’s lesson for governments? Don’t cherry-pick advice, synthesize it


Essay by Geoff Mulgan: “Too many national leaders get good guidance yet make poor decisions…Handling complex scientific issues in government is never easy — especially during a crisis, when uncertainty is high, stakes are huge and information is changing fast. But for some of the nations that have fared the worst in the COVID-19 pandemic, there’s a striking imbalance between the scientific advice available and the capacity to make sense of it. Some advice is ignored because it’s politically infeasible or unpragmatic. Nonetheless, much good scientific input has fallen aside because there’s no means to pick it up.

Part of the problem has been a failure of synthesis — the ability to combine insights and transcend disciplinary boundaries. Creating better syntheses should be a governmental priority as the crisis moves into a new phase….

Input from evidence synthesis is crucial for policymaking. But the capacity of governments to absorb such evidence is limited, and syntheses for decisions must go much further in terms of transparently incorporating assessments of political or practical feasibility, implementation, benefits and cost, among many other factors. The gap between input and absorption is glaring.

I’ve addressed teams in the UK prime minister’s office, the European Commission and the German Chancellery about this issue. In responding to the pandemic, some countries (including France and the United Kingdom) have tried to look at epidemiological models alongside economic ones, but none has modelled the social or psychological effects of different policy choices, and none would claim to have achieved a truly synthetic approach.

There are dozens of good examples of holistic thinking and action: programmes to improve public health in Finland, cut UK street homelessness, reduce poverty in China. But for many governments, the capacity to see things in the round has waned over the past decade. The financial crisis of 2007 and then populism both shortened governments’ time horizons for planning and policy in the United States and Europe….

The worst governments rely on intuition. But even the best resort to simple heuristics — for example, that it’s best to act fast, or that prioritizing health is also good for the economy. This was certainly true in 2020 and 2021. But that might change with higher vaccination and immunity rates.

What would it mean to transcend simple heuristics and achieve a truly synthetic approach? It would involve mapping and ranking relevant factors (from potential impacts on hospital capacity to the long-run effects of isolation); using formal and informal models to capture feedbacks, trade-offs and synergies; and more creative work to shape options.

Usually, such work is best done by teams that encompass breadth and depth, disparate disciplines, diverse perspectives and both officials and outsiders. Good examples include Singapore’s Strategy Group (and Centre for Strategic Futures), which helps the country to execute sophisticated plans on anything from cybercrime to climate resilience. But most big countries, despite having large bureaucracies, lack comparable teams…(More)”.

Building with and for the Community: New Resource Library and Data Maturity Assessment Tool Now Live


Perry Hewitt and Ginger Zielinskie at Data.org: “At data.org we have heard (and personally experienced) the challenge of needing to get smarter about data, and the frustration of wading through a trove of search engine results. It takes not only time and effort, but also field experience and subject matter expertise for social impact leaders to determine if a resource is from a trustworthy source, current enough to be relevant, and appropriate for their stage of data strategy. To solve this challenge, we have built two new elements into our data.org digital platform: a Resource Library and a Data Maturity Assessment Tool….We are delighted to be launching the Data Maturity Assessment Tool. This project, too, began with the community: an early alpha co-developed in the spring of 2021 with DataKind was tested with ten organizations, and in-depth interviews yielded insights about the data topics needing investigation. With this experience and extensive desk research in hand, we sought to create a solution that was short enough to be taken online, but substantive enough to identify areas of opportunity. Our goal was to provide organizations with a pulse check, helping them measure and understand where they stand today on their data journey.  

Mindful of organizations’ need to act on an assessment, we ensured the results page offers not only a benchmark score, but also specific resources aligned with areas for growth. Integration of the Tool with our Library of guides and resources via a shared taxonomy on the backend ensures that organizations receive results with specific, vetted resources for delving more deeply into content. We also heard from social impact organizations that a significant obstacle in launching and sustaining a data competency is developing and communication a shared understanding of areas for opportunity and growth. With this challenge in mind, the results page is mindfully designed to be sharable with organizational leadership, boards, or funders to provide clarity, and to set the stage for an ongoing data conversation….(More)”.

Sample Truths


Christopher Beha at Harpers’ Magazine: “…How did we ever come to believe that surveys of this kind could tell us something significant about ourselves?

One version of the story begins in the middle of the seventeenth century, after the Thirty Years’ War left the Holy Roman Empire a patchwork of sovereign territories with uncertain borders, contentious relationships, and varied legal conventions. The resulting “weakness and need for self-definition,” the French researcher Alain Desrosières writes, created a demand among local rulers for “systematic cataloging.” This generally took the form of descriptive reports. Over time the proper methods and parameters of these reports became codified, and thus was born the discipline of Statistik: the systematic study of the attributes of a state.

As Germany was being consolidated in the nineteenth century, “certain officials proposed using the formal, detailed framework of descriptive statistics to present comparisons between the states” by way of tables in which “the countries appeared in rows, and different (literary) elements of the description appeared in columns.” In this way, a single feature, such as population or climate, could be easily removed from its context. Statistics went from being a method for creating a holistic description of one place to what Desrosières calls a “cognitive space of equivalence.” Once this change occurred, it was only a matter of time before the descriptions themselves were put into the language of equivalence, which is to say, numbers.

The development of statistical reasoning was central to the “project of legibility,” as the anthropologist James C. Scott calls it, ushered in by the rise of nation-states. Strong centralized governments, Scott writes in Seeing Like a State, required that local communities be made “legible,” their features abstracted to enable management by distant authorities. In some cases, such “state simplifications” occurred at the level of observation. Cadastral maps, for example, ignored local land-use customs, focusing instead on the points relevant to the state: How big was each plot, and who was responsible for paying taxes on it?

But legibility inevitably requires simplifying the underlying facts, often through coercion. The paradigmatic example here is postrevolutionary France. For administrative purposes, the country was divided into dozens of “departments” of roughly equal size whose boundaries were drawn to break up culturally cohesive regions such as Normandy and Provence. Local dialects were effectively banned, and use of the new, highly rational metric system was required. (As many commentators have noted, this work was a kind of domestic trial run for colonialism.)

One thing these centralized states did not need to make legible was their citizens’ opinions—on the state itself, or anything else for that matter. This was just as true of democratic regimes as authoritarian ones. What eventually helped bring about opinion polling was the rise of consumer capitalism, which created the need for market research.

But expanding the opinion poll beyond questions like “Pepsi or Coke?” required working out a few kinks. As the historian Theodore M. Porter notes, pollsters quickly learned that “logically equivalent forms of the same question produce quite different distributions of responses.” This fact might have led them to doubt the whole undertaking. Instead, they “enforced a strict discipline on employees and respondents,” instructing pollsters to “recite each question with exactly the same wording and in a specified order.” Subjects were then made “to choose one of a small number of packaged statements as the best expression of their opinions.”

This approach has become so familiar that it may be worth noting how odd it is to record people’s opinions on complex matters by asking them to choose among prefabricated options. Yet the method has its advantages. What it sacrifices in accuracy it makes up in pseudoscientific precision and quantifiability. Above all, the results are legible: the easiest way to be sure you understand what a person is telling you is to put your own words in his mouth.

Scott notes a kind of Heisenberg principle to state simplifications: “They frequently have the power to transform the facts they take note of.” This is another advantage to multiple-choice polling. If people are given a narrow range of opinions, they may well think that those are the only options available, and in choosing one, they may well accept it as wholly their own. Even those of us who reject the stricture of these options for ourselves are apt to believe that they fairly represent the opinions of others. One doesn’t have to be a postmodern relativist to suspect that what’s going on here is as much the construction of a reality as the depiction of one….(More)”.