How can governments boost citizen-led projects?


Justin Tan at GovInsider: “The visual treat of woks tossing fried carrot cake, the dull thuds of a chopper expertly dicing up a chicken, the fragrant lime aroma of grilled sambal stingray. The sensory playgrounds of Singapore’s hawker centres are close to many citizens’ homes and hearts, and have even recently won global recognition by UNESCO.

However, the pandemic has left many hawkers facing slow business. While restaurants and fast food chains have quickly caught on to food delivery services, many elderly hawkers were left behind in the digital race.

28 year-old Singaporean M Thirukkumaran developed an online community map called “Help Our Hawkers” that provides information on digitally-disadvantaged hawkers near users’ locations, such as opening hours and stall information. GovInsider caught up with him to learn how it was built and how governments can support fellow civic hackers…

Besides creating space for civic innovation, governments can step in to give particularly promising projects a boost with their resources and influence, Thiru says.

Most community-led projects need to rely on cloud services such as AWS, which can be expensive for a small team to bear, he explains. Government subsidies or grants may help to ease the cost for digital infrastructure.

In Thiru’s case, the map needed to be rolled out quickly to be useful. He chose to build his tool with Google Maps to speed up the process, as many users are already familiar with it.

Another way that governments can help is through getting more visibility to these community-led projects with their wide reach, Thiru suggests. Community projects commonly face a “cold start” dilemma. This arises where the community tool needs data for it to be useful, but citizens also hesitate to spend time on a tool if it is not useful in the first place.

Thiru jump started his tool by contributing a few stalls on his own. With more publicity with government campaigns, the process could be sped up considerably, he shares….(More)”.

America’s ‘Smart City’ Didn’t Get Much Smarter


Article by Aarian Marshall: “In 2016, Columbus, Ohio, beat out 77 other small and midsize US cities for a pot of $50 million that was meant to reshape its future. The Department of Transportation’s Smart City Challenge was the first competition of its kind, conceived as a down payment to jump-start one city’s adaptation to the new technologies that were suddenly everywhere. Ride-hail companies like Uber and Lyft were ascendant, car-sharing companies like Car2Go were raising their national profile, and autonomous vehicles seemed to be right around the corner.

“Our proposed approach is revolutionary,” the city wrote in its winning grant proposal, which pledged to focus on projects to help the city’s most underserved neighborhoods. It laid out plans to experiment with Wi-Fi-enabled kiosks to help residents plan trips, apps to pay bus and ride-hail fares and find parking spots, autonomous shuttles, and sensor-connected trucks.

Five years later, the Smart City Challenge is over, but the revolution never arrived. According to the project’s final report, issued this month by the city’s Smart Columbus Program, the pandemic hit just as some projects were getting off the ground. Six kiosks placed around the city were used to plan just eight trips between July 2020 and March 2021. The company EasyMile launched autonomous shuttles in February 2020, carrying passengers at an average speed of 4 miles per hour. Fifteen days later, a sudden brake sent a rider to the hospital, pausing service. The truck project was canceled. Only 1,100 people downloaded an app, called Pivot, to plan and reserve trips on ride-hail vehicles, shared bikes and scooters, and public transit.

The discrepancy between the promise of whiz-bang technology and the reality in Columbus points to a shift away from tech as a silver bullet, and a newer wariness of the troubles that web-based applications can bring to IRL streets. The “smart city” was a hard-to-pin-down marketing term associated with urban optimism. Today, as citizens think more carefully about tech-enabled surveillance, the concept of a sensor in every home doesn’t look as shiny as it once did….(More)”.

Stewarding innovation portfolios for the ecosystem: catalysing collective system change


Case study by Emily Wise: “…Future by Lund (FBL) is an innovation platform located in the city of Lund, in southern Sweden. The municipality of Lund spearheads this collaborative effort (with more than 50 partners) to catalyse innovative solutions for sustainable and attractive cities and to strengthen the innovation culture of the ecosystem in Lund. Since its start in 2013, FBL has developed its system leadership function – scouting trends and identifying opportunities, matching relevant actors and catalyzing collaborative action, and developing a community of actors (companies, universities, research institutes, innovation support actors) and portfolio of activities that (collectively) contribute to a more sustainable and attractive city. For instance, FBL gathered a group of actors and facilitated initial activities to develop an electric road – moving from idea to national demonstrator over the course of six years. FBL played a similar “initial catalyst” role in developing a new energy solution – Ectogrid.

FBL is one of six innovation platforms supported through a programme at Sweden’s innovation agency – Vinnova, which is soon coming to its end. The funding and other support from Vinnova have helped FBL build its capacity to proactively foster innovation activities that respond to challenges and sustainable development aims that can only be addressed in collaboration with others – operating in between municipal and other organisational mandates, in the more exploratory, uncertain, and bottom-up areas of innovation activity (see figure below).

Figure 1: Future by Lund – leading in between organisations…(More)”.

Need Public Policy for Human Gene Editing, Heatwaves, or Asteroids? Try Thinking Like a Citizen


Article by Nicholas Weller, Michelle Sullivan Govani, and Mahmud Farooque: “In a ballroom at the Arizona Science Center one afternoon in 2017, more than 70 Phoenix residents—students, teachers, nurses, and retirees—gathered around tables to participate in a public forum about how cities can respond to extreme weather such as heat waves. Each table was covered in colorful printouts with a large laminated poster resembling a board game. Milling between the tables were decisionmakers from local government and the state. All were taking part in a deliberative process called participatory technology assessment, or pTA, designed to break down the walls between “experts” and citizens to gain insights into public policy dilemmas involving science, technology, and uncertainty.

Foreshadowing their varied viewpoints and experiences, participants prepared differently for the “extreme weather” of the heavily air conditioned ballroom, with some gripping cardigans around their shoulders while others were comfortable in tank tops. Extreme heat is something all the participants were familiar with—Phoenix is one of the hottest cities in the country—but not everyone understood the unequal way that heat and related deaths affect different parts of the Valley of the Sun. Though a handful of the participants might have called themselves environmentalists, most were not regular town-hall goers or political activists. Instead, they represented a diverse cross section of people in Phoenix. All had applied to attend—motivated by a small stipend, the opportunity to have their voice heard, or a bit of both.

Unlike typical town hall setups, where a few bold participants tend to dominate questioning and decisionmakers often respond by being defensive or vague, pTA gatherings are deliberately organized to encourage broad participation and conversation. To help people engage with the topic, the meeting was divided into subgroups to examine the story of Heattown, a fictionalized name for a real but anonymized community contending with the health, environmental, and economic impacts of heat waves. Then each group began a guided discussion of the different characters living in Heattown, vulnerabilities of the emergency-response and infrastructure systems, and strategies for dealing with those vulnerabilities….(More)”.

Platform Workers, Data Dominion and Challenges to Work-life Quality


Paper by Mabel Choo and Mark Findlay: “Originally this short reflection was intended to explore the relationship between the under-regulated labour environment of gig workers and their appreciation of work-life quality. It was never intended as a comprehensive governance critique of what is variously known as independent, franchised, or autonomous service delivery transactions facilitated through platform providers. Rather it was to represent a suggestive snapshot of how workers in these contested employment contexts viewed the relevance of regulation (or its absence) and the impact that new forms of regulation might offer for work-life quality.

By exploring secondary source commentary on worker experiences and attitudes it became clear that profound information deficits regarding how their personal data was being marketed meant that expecting any detailed appreciation of regulatory need and potentials was unrealistic from such a disempowered workforce. In addition, the more apparent was the practice of the platforms re-using and marketising this data without the knowledge or informed consent of the data subjects (service providers and customers) the more necessary it seemed to factor in this commercialisation when regulatory possibilities are to be considered.

The platform providers have sheltered their clandestine use of worker data (whether it be from pervasive surveillance or transaction histories) behind dubious discourse about disruptive economies, non-employment responsibilities, and the distinction between business and private data. In what follows we endeavor to challenge these disempowering interpretations and assertions, while arguing the case that at the very least data subjects need to know what platforms do with the data they produce and have some say in its re-use. In proposing these basic pre-conditions for labour transactions, we hope that work-life experience can be enhanced. Many of the identified needs for regulation and suggestions as to the form it should take are at this point declaratory in the paper, and as such require more empirical modelling to evaluate their potential influences in bettering work-life quality….(More)”

Data for Good Collaboration


Research Report by Swinburne University of Technology’s Social Innovation Research Institute: “…partnered with the Lord Mayor’s Charitable Foundation, Entertainment Assist, Good Cycles and Yooralla Disability Services, to create the data for good collaboration. The project had two aims: – Build organisational data capacity through knowledge sharing about data literacy, expertise and collaboration – Deliver data insights through a methodology of collaborative data analytics This report presents key findings from our research partnership, which involved the design and delivery of a series of webinars that built data literacy; and participatory data capacity-building workshops facilitated by teams of social scientists and data scientists. It also draws on interviews with participants, reflecting on the benefits and opportunities data literacy can offer to individuals and organisations in the not-for-profit and NGO sectors…(More)”.

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)”.

Tracking Economic Activity in Response to the COVID-19 using nighttime Lights


Paper by Mark Roberts: “Over the last decade, nighttime lights – artificial lighting at night that is associated with human activity and can be detected by satellite sensors – have become a proxy for monitoring economic activity. To examine how the COVID-19 crisis has affected economic activity in Morocco, we calculated monthly lights estimates for both the country overall and at a sub-national level. By examining the intensity of Morocco’s lights in comparison with the quarterly GDP data at the national level, we are also able to confirm that nighttime lights are able to track movements in real economic activity for Morocco….(More)”.

What Is Mobility Data? Where Is It Used?


Brief by Andrew J. Zahuranec, Stefaan Verhulst, Andrew Young, Aditi Ramesh, and Brennan Lake: “Mobility data is data about the geographic location of a device passively produced through normal activity. Throughout the pandemic, public health experts and public officials have used mobility data to understand patterns of COVID-19’s spread and the impact of disease control measures. However, privacy advocates and others have questioned the need for this data and raised concerns about the capacity of such data-driven tools to facilitate surveillance, improper data use, and other exploitative practices.

In April, The GovLab, Cuebiq, and the Open Data Institute released The Use of Mobility Data for Responding to the COVID-19 Pandemic, which relied on several case studies to look at the opportunities, risks, and challenges associated with mobility data. Today, we hope to supplement that report with a new resource: a brief on what mobility data is and the different types of data it can include. The piece is a one-pager to allow decision-makers to easily read it. It provides real-world examples from the report to illustrate how different data types can be used in a responsible way…..(More)”.

Our Tomorrows- A Community Sensemaking Approach


OPSI Case Study: “The Kansas vision for the early childhood system is:  All children will have their basic needs met and have equitable access to quality early childhood care and educational opportunities, so they are prepared to succeed in kindergarten and beyond. In 2019, the State of Kansas received a large federal grant (the Preschool Development Grant) to conduct a needs assessment and craft a strategic plan for the early childhood system where all children can thrive. The grant leadership team of state agencies utilized this opportunity to harness the power of Our Tomorrows’ innovative Community Sensemaking Approach to map families’ lived experiences and create policies and programming adaptive to families’ needs.

In this context, Our Tomorrows set out to achieve three goals:

1. Gather stories about thriving and surviving from families across Kansas utilizing a complexity-informed narrative research approach called SenseMaker.

2. Make sense of patterns that emerged from the stories through Community Sensemaking Workshops with stakeholders at various levels of the system.

3. Take action and ennoble bottom-up change through Community Action Labs.

From a complexity perspective, these goals translate to developing a ‘human sensor network,’ embedding citizen feedback loops and sensemaking processes into governance, and complexity-informed intervention via portfolios of safe-to-fail probes….(More)