DC launched an AI tool for navigating the city’s open data


Article by Kaela Roeder: “In a move echoing local governments’ increasing attention toward generative artificial intelligence across the country, the nation’s capital now aims to make navigating its open data easier through a new public beta pilot.

DC Compass, launched in March, uses generative AI to answer user questions and create maps from open data sets, ranging from the district’s population to what different trees are planted in the city. The Office of the Chief Technology Officer (OCTO) partnered with the geographic information system (GIS) technology company Esri, which has an office in Vienna, Virginia, to create the new tool.

This debut follows Mayor Muriel Bowser’s signing of DC’s AI Values and Strategic Plan in February. The order requires agencies to assess if using AI is in alignment with the values it sets forth, including that there’s a clear benefit to people; a plan for “meaningful accountability” for the tool; and transparency, sustainability, privacy and equity at the forefront of deployment.

These values are key when launching something like DC Compass, said Michael Rupert, the interim chief technology officer for digital services at the Office of the Chief Technology Officer.

“The way Mayor Bowser rolled out the mayor’s order and this value statement, I think gives residents and businesses a little more comfort that we aren’t just writing a check and seeing what happens,” Rupert said. “That we’re actually methodically going about it in a responsible way, both morally and fiscally.”..(More)”.

Screenshot of AI portal with black text and data tables over white background

DC COMPASS IN ACTION. (SCREENSHOT/COURTESY OCTO)

This City Pilots Web3 Quadratic Funding for Public Infrastructure


Article by Makoto Takahiro: “The city of Split, Croatia is piloting an innovative new system for deciding how to fund municipal infrastructure projects. Called “quadratic funding,” the mechanism aims to fairly account for both public and private preferences when allocating limited budget resources.

A coalition of organizations including BlockSplit, Funding the Commons, Gitcoin, and the City of Split launched the Municipal Quadratic Funding Initiative in September 2023. The project goals include implementing quadratic funding for prioritizing public spending, utilizing web3 tools to increase transparency and participation, and demonstrating the potential of these technologies to improve legacy processes.

If successful, the model could scale to other towns and cities or inspire additional quadratic funding experiments.

The partners believe that the transparency and configurability of blockchain systems make them well-suited to quadratic funding applications.

Quadratic funding mathematically accounts for the intensity of demand for public goods. Groups can create projects which individuals can support financially. The amount of money ultimately directed to each proposal is based on the square of support received. This means that projects attracting larger numbers of smaller contributions can compete with those receiving fewer large donations.

In this way, quadratic funding aims to reflect both willingness to pay and breadth of support in funding decisions. It attempts to break tendency towards corruption where influential groups lobby for their niche interests. The goal is a fairer allocation suited to the whole community’s preferences.

The initiative will build on open source quadratic funding infrastructure already deployed for other uses like funding public goods on Ethereum. Practical web3 tools can help teadministration manage funding rounds and disburse awards…(More)”.

Designing Digital Voting Systems for Citizens


Paper by Joshua C. Yang et al: “Participatory Budgeting (PB) has evolved into a key democratic instrument for resource allocation in cities. Enabled by digital platforms, cities now have the opportunity to let citizens directly propose and vote on urban projects, using different voting input and aggregation rules. However, the choices cities make in terms of the rules of their PB have often not been informed by academic studies on voter behaviour and preferences. Therefore, this work presents the results of behavioural experiments where participants were asked to vote in a fictional PB setting. We identified approaches to designing PB voting that minimise cognitive load and enhance the perceived fairness and legitimacy of the digital process from the citizens’ perspective. In our study, participants preferred voting input formats that are more expressive (like rankings and distributing points) over simpler formats (like approval voting). Participants also indicated a desire for the budget to be fairly distributed across city districts and project categories. Participants found the Method of Equal Shares voting rule to be fairer than the conventional Greedy voting rule. These findings offer actionable insights for digital governance, contributing to the development of fairer and more transparent digital systems and collective decision-making processes for citizens…(More)”.

Riders in the smog


Article by Zuha Siddiqui, Samriddhi Sakuna and Faisal Mahmud: “…To better understand air quality exposure among gig workers in South Asia, Rest of World gave three gig workers — one each in Lahore, New Delhi, and Dhaka — air quality monitors to wear throughout a regular shift in January. The Atmotube Pro monitors continually tracked their exposure to carcinogenic pollutants — specifically PM1, PM2.5, and PM10 (different sizes of particulate matter), and volatile organic compounds such as benzene and formaldehyde.

The data revealed that all three workers were routinely exposed to hazardous levels of pollutants. For PM2.5, referring to particulates that are 2.5 micrometers in diameter or less — which have been linked to health risks including heart attacks and strokes — all riders were consistently logging exposure levels more than 10 times the World Health Organization’s recommended daily average of 15 micrograms per cubic meter. Manu Sharma, in New Delhi, recorded the highest PM2.5 level of the three riders, hitting 468.3 micrograms per cubic meter around 6 p.m. Lahore was a close second, with Iqbal recording 464.2 micrograms per cubic meter around the same time.

Alongside tracking specific pollutants, the Atmotube Pro gives an overall real-time air quality score (AQS) from 0–100, with zero being the most severely polluted, and 100 being the cleanest. According to Atmo, the company that makes the Atmotube monitors, a reading of 0–20 should be considered a health alert, under which conditions “everyone should avoid all outdoor exertion.” But the three gig workers found their monitors consistently displayed the lowest possible score…(More)”.

AI-Powered Urban Innovations Bring Promise, Risk to Future Cities


Article by Anthony Townsend and Hubert Beroche: “Red lights are obsolete. That seems to be the thinking behind Google’s latest fix for cities, which rolled out late last year in a dozen cities around the world, from Seattle to Jakarta. Most cities still collect the data to determine the timing of traffic signals by hand. But Project Green Light replaced clickers and clipboards with mountains of location data culled from smartphones. Artificial intelligence crunched the numbers, adjusting the signal pattern to smooth the flow of traffic. Motorists saw 30% fewer delays. There’s just one catch. Even as pedestrian deaths in the US reached a 40-year high in 2022, Google engineers omitted pedestrians and cyclists from their calculations.

Google’s oversight threatens to undo a decade of progress on safe streets and is a timely reminder of the risks in store when AI invades the city. Mayors across global cities have embraced Vision Zero pledges to eliminate pedestrian deaths. They are trying to slow traffic down, not speed it up. But Project Green Light’s website doesn’t even mention road safety. Still, the search giant’s experiment demonstrates AI’s potential to help cities. Tailpipe greenhouse gas emissions at intersections fell by 10%. Imagine what AI could do if we used it to empower people in cities rather than ignore them.

Take the technocratic task of urban planning and the many barriers to participation it creates. The same technology that powers chatbots and deepfakes is rapidly bringing down those barriers. Real estate developers have mastered the art of using glossy renderings to shape public opinion. But UrbanistAI, a tool developed by Helsinki-based startup SPIN Unit and the Milanese software company Toretei, puts that power in the hands of residents: It uses generative AI to transform text prompts into photorealistic images of alternative designs for controversial projects. Another startup, the Barcelona-based Aino, wraps a chatbot around a mapping tool. Using such computer aids, neighborhood activists no longer need to hire a data scientist to produce maps from census data to make their case…(More)”.

The Computable City: Histories, Technologies, Stories, Predictions


Book by Michael Batty: “At every stage in the history of computers and communications, it is safe to say we have been unable to predict what happens next. When computers first appeared nearly seventy-five years ago, primitive computer models were used to help understand and plan cities, but as computers became faster, smaller, more powerful, and ever more ubiquitous, cities themselves began to embrace them. As a result, the smart city emerged. In The Computable City, Michael Batty investigates the circularity of this peculiar evolution: how computers and communications changed the very nature of our city models, which, in turn, are used to simulate systems composed of those same computers.

Batty first charts the origins of computers and examines how our computational urban models have developed and how they have been enriched by computer graphics. He then explores the sequence of digital revolutions and how they are converging, focusing on continual changes in new technologies, as well as the twenty-first-century surge in social media, platform economies, and the planning of the smart city. He concludes by revisiting the digital transformation as it continues to confound us, with the understanding that the city, now a high-frequency twenty-four-hour version of itself, changes our understanding of what is possible…(More)”.

Civic Trust: What’s In A Concept?


Article by Stefaan Verhulst, Andrew J. Zahuranec, Oscar Romero and Kim Ochilo: “We will only be able to improve civic trust once we know how to measure it…

A visualization of the ways to measure civic trust

Recently, there’s been a noticeable decline in trust toward institutions across different sectors of society. This is a serious issue, as evidenced by surveys including the Edelman Trust BarometerGallup, and Pew Research.

Diminishing trust presents substantial obstacles. It threatens to weaken the foundation of a pluralistic democracy, adversely affects public health, and hinders the collaboration needed to tackle worldwide challenges such as climate change. Trust forms the cornerstone of democratic social contracts and is crucial for maintaining the civic agreements essential for the prosperity and cohesion of communities, cities, and countries alike.

Yet to increase civic trust, we need to know what we mean by it and how to measure it, which turns out to be a challenging exercise. Toward that end, The GovLab at New York University and the New York Civic Engagement Commission joined forces to catalog and identify methodologies to quantify and understand the nuances of civic trust.

“Building trust across New York is essential if we want to deepen civic engagement,” said Sarah Sayeed, Chair and Executive Director of the Civic Engagement Commission. “Trust is the cornerstone of a healthy community and robust democracy.”

This blog delves into various strategies for developing metrics to measure civic trust, informed by our own desk research, which categorizes civic trust metrics into descriptive, diagnostic, and evaluative measures…(More)”.

How will AI shape our future cities?


Article by Ying Zhang: “For city planners, a bird’s-eye view of a map showing buildings and streets is no longer enough. They need to simulate changes to bus routes or traffic light timings before implementation to know how they might affect the population. Now, they can do so with digital twins – often referred to as a “mirror world” – which allows them to simulate scenarios more safely and cost-effectively through a three-dimensional virtual replica.

Cities such as New York, Shanghai and Helsinki are already using digital twins. In 2022, the city of Zurich launched its own version. Anyone can use it to measure the height of buildings, determine the shadows they cast and take a look into the future to see how Switzerland’s largest city might develop. Traffic congestion, a housing shortage and higher energy demands are becoming pressing issues in Switzerland, where 74% of the population already lives in urban areas.

But updating and managing digital twins will become more complex as population densities and the levels of detail increase, according to architect and urban designer Aurel von Richthofen of the consultancy Arup.

The world’s current urban planning models are like “individual silos” where “data cannot be shared, which makes urban planning not as efficient as we expect it to be”, said von Richthofen at a recent event hosted by the Swiss innovation network Swissnex. …

The underlying data is key to whether a digital twin city is effective. But getting access to quality data from different organisations is extremely difficult. Sensors, drones and mobile devices may collect data in real-time. But they tend to be organised around different knowledge domains – such as land use, building control, transport or ecology – each with its own data collection culture and physical models…(More)”

Digitalisation and citizen engagement: comparing participatory budgeting in Rome and Barcelona


Book chapter by Giorgia Mattei, Valentina Santolamazza and Martina Manzo: “The digitalisation of participatory budgeting (PB) is an increasing phenomenon in that digital tools could help achieve greater citizen engagement. However, comparing two similar cases – i.e. Rome and Barcelona – some differences appear during the integration of digital tools into the PB processes. The present study describes how digital tools have positively influenced PB throughout different phases, making communication more transparent, involving a wider audience, empowering people and, consequently, making citizens’ engagement more effective. Nevertheless, the research dwells on the different elements adopted to overcome the digitalisation limits and shows various approaches and results…(More)”.

To Design Cities Right, We Need to Focus on People


Article by Tim Keane: “Our work in the U.S. to make better neighborhoods, towns and cities is a hapless and obdurate mess. If you’ve attended a planning meeting anywhere, you have probably witnessed the miserable process in action—unrestrainedly selfish fighting about false choices and seemingly inane procedures. Rather than designing places for people, we see cities as a collection of mechanical problems with technical and legal solutions. We distract ourselves with the latest rebranded ideas about places—smart growth, resilient cities, complete streets, just cities, 15-minute cities, happy cities—rather than getting down to the actual work of designing the physical place. This lacks a fundamental vision. And it’s not succeeding.

Our flawed approach to city planning started a century ago. The first modern city plan was produced for Cincinnati in 1925 by the Technical Advisory Corporation, founded in 1913 by George Burdett Ford and E.P. Goodrich in New York City. New York adopted the country’s first comprehensive zoning ordinance in 1916, an effort Ford led. Not coincidentally, the advent of zoning, and then comprehensive planning, corresponded directly with the great migration of six million Black people from the South to Northern, Midwestern and Western cities. New city planning practices were a technical means to discriminate and exclude.

This first comprehensive plan also ushered in another type of dehumanization: city planning by formula. To justify widening downtown streets by cutting into sidewalks, engineers used a calculation that reflected the cost to operate an automobile in a congested area—including the cost of a human life, because crashes killed people. Engineers also calculated the value of a sidewalk through a formula based on how many people the elevators in adjoining buildings could deliver at peak times. In the end, Cincinnati’s planners recommended widening the streets for cars, which were becoming more common, by shrinking sidewalks. City planning became an engineering equation, and one focused on separating people and spreading the city out to the maximum extent possible…(More)”.