Citizen assembly takes on Germany’s climate pledges


Martin Kuebler at Deutsche Welle: “A group of 160 German citizens chosen at random from across the country will launch an experiment in participatory democracy this week, aiming to inspire public debate and get the government to follow through with its pledge to reach net-zero CO2 emissions by 2050.

The Bürgerrat Klima, or Citizen Assembly, will follow the example set in the last few years by countries like Ireland, the United Kingdom and France. The concept, intended to directly involve citizens in the climate decisions that will shape their lives in the coming decades, is seen as a way for people to push for stronger climate policies and political action — though the previous experiments abroad have met with varying degrees of success.

Inspired by a 99-person Citizens’ Assembly, the Irish government adopted a series of reforms in its 2019 climate bill aimed at reducing carbon dioxide emissions by 51% before the end of this decade. These included recommendations “to ensure climate change is at the centre of policy-making,” and covered everything from clean tech and power generation to electric vehicles and plans to retrofit older buildings.

But in France, where 150 participants submitted bold proposals that included a ban on domestic flights and making ecocide a crime, lawmakers have been less enthusiastic about taking the measures on board. A new climate and resilience bill, which aims to cut France’s CO2 emissions by 40% over the next decade and is due to be adopted later this year, has incorporated less than half of the group’s ideas. Greenpeace has said the proposed bill would have been “ambitious 15 or 20 years ago.”…(More)”.

Infrastructure Isn’t Really About Roads. It’s About the Society We Want.


Eric Klinenberg in the New York Times: “…Consider civic infrastructure. Many of the critical systems the United States needs to build and sustain a good society are degraded. Discriminatory voting laws, like Georgia’s new legislation, threaten the integrity of the political process. Social media companies like Facebook, by using algorithms that reward political extremism and promote political polarization, distort the discourse in our public sphere. Community organizations that help feed, house and educate low-income Americans are essential for preserving peace and improving living standards, but they have struggled to remain solvent during the pandemic. Mr. Biden’s plan leaves these failings in the civic infrastructure practically untouched.

The neglect of social infrastructure in Mr. Biden’s plan is even more striking, given how critical social infrastructure was to the success of President Franklin Roosevelt’s New Deal, the last “once in a generation” investment in America. The New Deal was not just about roads and bridges, after all. It also funded the construction or renovation of thousands of gathering places across the country, in suburbs and cities, rural areas and small towns.

What came from these investments? Libraries. Parks. Playgrounds. Piers. Post offices. Swimming pools. Sports fields. Theaters. Museums. Gardens. Forests. Beaches. Lodges. Walkways. Armories. Courthouses. County fairgrounds. Today too many of us take these projects for granted, even as we continue to use them on a huge scale.

Paradoxically, the success of this social infrastructure is also the source of its degradation. Our gathering places are overrun and dilapidated. Parks and playgrounds need updating. Athletic fields need new surfaces. Public libraries have an estimated $26 billion in capital needs, according to the American Library Association, and the costs of safely operating them at full capacity are likely to exceed what states and local governments can afford. None of this, sadly, is explicitly addressed in Mr. Biden’s proposal….(More)”.

Predicting social tipping and norm change in controlled experiments


Paper by James Andreoni, Nikos Nikiforakis, and Simon Siegenthaler: “Social tipping—instances of sudden change that upend social order—is rarely anticipated and usually understood only in hindsight. The ability to predict when societies will reach a tipping point has significant implications for welfare, especially when social norms are detrimental. In a large-scale laboratory experiment, we identify a model that accurately predicts social tipping and use it to address a long-standing puzzle: Why do norms sometimes persist when they are detrimental to social welfare? We show that beneficial norm change is often hindered by a desire to avoid the costs associated with transitioning to a new norm. We find that policies that help societies develop a common understanding of the benefits from change foster the abandonment of detrimental norms….(More)”.

Tech tools help deepen citizen input in drafting laws abroad and in U.S. states


Gopal Ratnam at RollCall: “Earlier this month, New Jersey’s Department of Education launched a citizen engagement process asking students, teachers and parents to vote on ideas for changes that officials should consider as the state reopens its schools after the pandemic closed classrooms for a year. 

The project, managed by The Governance Lab at New York University’s Tandon School of Engineering, is part of a monthlong nationwide effort using an online survey tool called All Our Ideas to help state education officials prioritize policymaking based on ideas solicited from those who are directly affected by the policies.

Among the thousands of votes cast for various ideas nationwide, teachers and parents backed changes that would teach more problem-solving skills to kids. But students backed a different idea as the most important: making sure that kids have social and emotional skills, as well as “self-awareness and empathy.” 

A government body soliciting ideas from those who are directly affected, via online technology, is one small example of greater citizen participation in governance that advocates hope can grow at both state and federal levels….

Taiwan has taken crowdsourcing legislative ideas to a new height.

Using a variety of open-source engagement and consultation tools that are collectively known as the vTaiwan process, government ministries, elected representatives, experts, civil society groups, businesses and ordinary citizens come together to produce legislation. 

The need for an open consultation process stemmed from the 2014 Sunflower Student Movement, when groups of students and others occupied the Taiwanese parliament to protest the fast-tracking of a trade agreement with China with little public review.  

After the country’s parliament acceded to the demands, the “consensus opinion was that instead of people having to occupy the parliament every time there’s a controversial, emergent issue, it might actually work better if we have a consultation mechanism in the very beginning of the issue rather than at the end,” said Audrey Tang, Taiwan’s digital minister. …

At about the same time that Taiwan’s Sunflower movement was unfolding, in Brazil then-President Dilma Rousseff signed into law the country’s internet bill of rights in April 2014. 

The bill was drafted and refined through a consultative process that included not only legal and technical experts but average citizens as well, said Debora Albu, program coordinator at the Institute for Technology and Society of Rio, also known as ITS. 

The institute was involved in designing the platform for seeking public participation, Albu said. 

“From then onwards, we wanted to continue developing projects that incorporated this idea of collective intelligence built into the development of legislation or public policies,” Albu said….(More)”.

The Co-Creation Compass: From Research to Action.


Policy Brief by Jill Dixon et al: ” Modern public administrations face a wider range of challenges than in the past, from designing effective social services that help vulnerable citizens to regulating data sharing between banks and fintech startups to ensure competition and growth to mainstreaming gender policies effectively across the departments of a large public administration.

These very different goals have one thing in common. To be solved, they require collaboration with other entities – citizens, companies and other public administrations and departments. The buy-in of these entities is the factor determining success or failure in achieving the goals. To help resolve this problem, social scientists, researchers and students of public administration have devised several novel tools, some of which draw heavily on the most advanced management thinking of the last decade.

First and foremost is co-creation – an awkward sounding word for a relatively simple idea: the notion that better services can be designed and delivered by listening to users, by creating feedback loops where their success (or failure) can be studied, by frequently innovating and iterating incremental improvements through small-scale experimentation so they can deliver large-scale learnings and by ultimately involving users themselves in designing the way these services can be made most effective and best be delivered.

Co-creation tools and methods provide a structured manner for involving users, thereby maximising the probability of satisfaction, buy-in and adoption. As such, co-creation is not a digital tool; it is a governance tool. There is little doubt that working with citizens in re-designing the online service for school registration will boost the usefulness and effectiveness of the service. And failing to do so will result in yet another digital service struggling to gain adoption….(More)”

Crowdsourcing: Citizens as coproducers of public services


Paper by Helen K. Liu: “Crowdsourcing serves as a distributed problem‐solving production model for modern governments, and it has the potential to transform citizens into coproducers of public services. To consolidate the theoretical basis, this article provides a typology for crowdsourcing public services based on theories of coproduction, public sector volunteerism, and government–citizen relations. This typology includes two dimensions—the policy stage, and the functionality of citizens’ effort—and four types of crowdsourcing, namely, complementary crowdsourcing in service implementation, supplementary crowdsourcing in service implementation, complementary crowdsourcing in policy and service design, and supplementary crowdsourcing in policy design. Four cases are selected for illustration. Designing crowdsourcing based on citizen and government relationships will help designers align goals and tasks to the right coproducers and enhance relationships in a democratic way. Furthermore, this typology will allow the field to systematically and collectively build knowledge….(More)”.

Citizen science is booming during the pandemic


Sigal Samuel at Vox: “…The pandemic has driven a huge increase in participation in citizen science, where people without specialized training collect data out in the world or perform simple analyses of data online to help out scientists.

Stuck at home with time on their hands, millions of amateurs arouennd the world are gathering information on everything from birds to plants to Covid-19 at the request of institutional researchers. And while quarantine is mostly a nightmare for us, it’s been a great accelerant for science.

Early in the pandemic, a firehose of data started gushing forth on citizen science platforms like Zooniverse and SciStarter, where scientists ask the public to analyze their data online.It’s a form of crowdsourcing that has the added bonus of giving volunteers a real sense of community; each project has a discussion forum where participants can pose questions to each other (and often to the scientists behind the projects) and forge friendly connections.

“There’s a wonderful project called Rainfall Rescue that’s transcribing historical weather records. It’s a climate change project to understand how weather has changed over the past few centuries,” Laura Trouille, vice president of citizen science at the Adler Planetarium in Chicago and co-lead of Zooniverse, told me. “They uploaded a dataset of 10,000 weather logs that needed transcribing — and that was completed in one day!”

Some Zooniverse projects, like Snapshot Safari, ask participants to classify animals in images from wildlife cameras. That project saw daily classifications go from 25,000 to 200,000 per day in the initial days of lockdown. And across all its projects, Zooniverse reported that 200,000 participants contributed more than 5 million classifications of images in one week alone — the equivalent of 48 years of research. Although participation has slowed a bit since the spring, it’s still four times what it was pre-pandemic.

Many people are particularly eager to help tackle Covid-19, and scientists have harnessed their energy. Carnegie Mellon University’s Roni Rosenfeld set up a platform where volunteers can help artificial intelligence predict the spread of the coronavirus, even if they know nothing about AI. Researchers at the University of Washington invited people to contribute to Covid-19 drug discovery using a computer game called Foldit; they experimented with designing proteins that could attach to the virus that causes Covid-19 and prevent it from entering cells….(More)”.

How spooks are turning to superforecasting in the Cosmic Bazaar


The Economist: “Every morning for the past year, a group of British civil servants, diplomats, police officers and spies have woken up, logged onto a slick website and offered their best guess as to whether China will invade Taiwan by a particular date. Or whether Arctic sea ice will retrench by a certain amount. Or how far covid-19 infection rates will fall. These imponderables are part of Cosmic Bazaar, a forecasting tournament created by the British government to improve its intelligence analysis.

Since the website was launched in April 2020, more than 10,000 forecasts have been made by 1,300 forecasters, from 41 government departments and several allied countries. The site has around 200 regular forecasters, who must use only publicly available information to tackle the 30-40 questions that are live at any time. Cosmic Bazaar represents the gamification of intelligence. Users are ranked by a single, brutally simple measure: the accuracy of their predictions.

Forecasting tournaments like Cosmic Bazaar draw on a handful of basic ideas. One of them, as seen in this case, is the “wisdom of crowds”, a concept first illustrated by Francis Galton, a statistician, in 1907. Galton observed that in a contest to estimate the weight of an ox at a county fair, the median guess of nearly 800 people was accurate within 1% of the true figure.

Crowdsourcing, as this idea is now called, has been augmented by more recent research into whether and how people make good judgments. Experiments by Philip Tetlock of the University of Pennsylvania, and others, show that experts’ predictions are often no better than chance. Yet some people, dubbed “superforecasters”, often do make accurate predictions, largely because of the way they form judgments—such as having a commitment to revising predictions in light of new data, and being aware of typical human biases. Dr Tetlock’s ideas received publicity last year when Dominic Cummings, then an adviser to Boris Johnson, Britain’s prime minister, endorsed his book and hired a controversial superforecaster to work at Mr Johnson’s office in Downing Street….(More)”.

‘Master,’ ‘Slave’ and the Fight Over Offensive Terms in Computing


Kate Conger at the New York Times: “Anyone who joined a video call during the pandemic probably has a global volunteer organization called the Internet Engineering Task Force to thank for making the technology work.

The group, which helped create the technical foundations of the internet, designed the language that allows most video to run smoothly online. It made it possible for someone with a Gmail account to communicate with a friend who uses Yahoo, and for shoppers to safely enter their credit card information on e-commerce sites.

Now the organization is tackling an even thornier issue: getting rid of computer engineering terms that evoke racist history, like “master” and “slave” and “whitelist” and “blacklist.”

But what started as an earnest proposal has stalled as members of the task force have debated the history of slavery and the prevalence of racism in tech. Some companies and tech organizations have forged ahead anyway, raising the possibility that important technical terms will have different meanings to different people — a troubling proposition for an engineering world that needs broad agreement so technologies work together.

While the fight over terminology reflects the intractability of racial issues in society, it is also indicative of a peculiar organizational culture that relies on informal consensus to get things done.

The Internet Engineering Task Force eschews voting, and it often measures consensus by asking opposing factions of engineers to hum during meetings. The hums are then assessed by volume and ferocity. Vigorous humming, even from only a few people, could indicate strong disagreement, a sign that consensus has not yet been reached…(More)”.

Undoing Optimization: Civic Action in Smart Cities


Book by Alison B. Powell: “City life has been reconfigured by our use—and our expectations—of communication, data, and sensing technologies. This book examines the civic use, regulation, and politics of these technologies, looking at how governments, planners, citizens, and activists expect them to enhance life in the city. Alison Powell argues that the de facto forms of citizenship that emerge in relation to these technologies represent sites of contention over how governance and civic power should operate. These become more significant in an increasingly urbanized and polarized world facing new struggles over local participation and engagement. The author moves past the usual discussion of top-down versus bottom-up civic action and instead explains how citizenship shifts in response to technological change and particularly in response to issues related to pervasive sensing, big data, and surveillance in “smart cities.”…(More)”.