Bring American cities into the 21st century by funding urban innovation

Curated on Posted on by Stefaan Verhulst

Article by Dan Doctoroff and Richard Florida: “The U.S. is on the verge of the fourth revolution in urban technology. Where railroads, the electric grid, and the automobile defined previous eras, today, new strategies that integrate new technologies in our cities can unlock striking possibilities.

Our buildings can be dramatically more sustainable, adaptable, and affordable. Energy systems and physical infrastructure can fulfill the promise of “climate-positive” development. Secure digital infrastructure can connect people and improve services while safeguarding privacy. We can deploy mobility solutions that regulate the flow of people and vehicles in real time, ease traffic, and cut carbon emissions. Innovative social infrastructure can enable new service models to build truly inclusive communities. 

Congress and the administration are currently negotiating a reconciliation package that is intended to put the U.S. on a path to a sustainable and equitable future. However, this mission will not succeed without meaningful investments in technical solutions that recognize the frontline role of cities and urban counties in so many national priorities.

U.S. cities are still built, connected, powered, heated, and run much as they have been for the past 75 years. Cities continue to generally rely on “dumb” infrastructure, such as the classic traffic light, which can direct traffic and do little else. 

When Detroit deployed the first red-yellow-green automatic traffic light in the 1920s, it pioneered state-of-the art traffic management. Soon, there was a traffic light at every major intersection in America, and it has remained an icon of urban technology ever since. Relying on 100-year-old technology isn’t all that unusual in our cities. If you look closely at any American city, you will see it’s rather the rule. While our policy needs and technical capabilities have changed dramatically, the urban systems U.S. cities rely on have remained essentially frozen in time since the Second World War.  

We must leverage today’s technology and use artificial intelligence, machine learning, data analytics, connected infrastructure, cloud computing, and automation to run our cities. That is why we have come together to help forge a new initiative, the Coalition for Urban Innovation, to reimagine urban infrastructure for the future. Consisting of leading urban thinkers, businesses, and nonprofits, the coalition is calling on Congress and the administration to seize this generational opportunity to finally unlock the potential of cities as powerful levers for tackling climate change, promoting inclusion, and otherwise addressing our thorniest challenges…(More)”.

The Pivot: Addressing Global Problems Through Local Action

Curated on Posted on by Stefaan Verhulst

Book by Steve Hamm: “When the world reemerges from the COVID-19 pandemic, it seems likely that it will have transformed irrevocably. Can societies already reeling from climate change, income inequality, and structural racism change for the better? Does the shock of the pandemic offer an opportunity to pivot to a more sustainable way of life?

Early in the crisis, a global volunteer collaboration called Pivot Projects was formed to rethink how the world works. Some members are experts in the sciences and the humanities; others are environmental activists or regular people who see themselves as world citizens. In The Pivot, the journalist Steve Hamm—who embedded in the enterprise from the start—explores their efforts and shows how their approach provides a model for achieving systemic change. Chronicling the group’s progress along an uncharted path, he shows how people with a variety of skills and personalities collaborate to get things done.

Through their work, Hamm examines some of today’s most important technologies and concepts, such as systems thinking and modeling, complexity theory, artificial intelligence, and new thinking about resilience. The book features vivid, informal profiles of a number of the group’s members and brings to life the excitement and energy of dynamic, smart people trying to change the world.

Part journal of a plague year and part call to action, The Pivot tells the remarkable story of a collaborative experiment seeking to make the world more sustainable and resilient..(More)”.

Using location data responsibly in cities and local government

Curated on Posted on by Stefaan Verhulst

Article by Ben Hawes: “City and local governments increasingly recognise the power of location data to help them deliver more and better services, exactly where and when they are needed. The use of this data is going to grow, with more pressure to manage resources and emerging challenges including responding to extreme weather events and other climate impacts.

But using location data to target and manage local services comes with risks to the equitable delivery of services, privacy and accountability. To make the best use of these growing data resources, city leaders and their teams need to understand those risks and address them, and to be able to explain their uses of data to citizens.

The Locus Charter, launched earlier this year, is a set of common principles to promote responsible practice when using location data. The Charter could be very valuable to local governments, to help them navigate the challenges and realise the rewards offered by data about the places they manage….

Compared to private companies, local public bodies already have special responsibilities to ensure transparency and fairness. New sources of data can help, but can also generate new questions. Local governments have generally been able to improve services as they learned more about the people they served. Now they must manage the risks of knowing too much about people, and acting intrusively. They can also risk distorting service provision because their data about people in places is uneven or unrepresentative.

Many city and local governments fully recognise that data-driven delivery comes with risks, and are developing specific local data ethics frameworks to guide their work. Some of these, like Kansas City’s, are specifically aimed at managing data privacy. Others cover broader uses of data, like Greater Manchester’s Declaration for Intelligent and Responsible Data Practice (DTPR). DTPR is an open source communication standard that helps people understand how data is being used in public places.

London is engaging citizens on an Emerging Technology Charter, to explore new and ethically charged questions around data. Govlab supports an AI Localism repository of actions taken by local decision-makers to address the use of AI within a city or community. The EU Sherpa programme (Shaping the Ethical Dimensions of Smart Information Systems) includes a smart cities strand, and has published a case-study on the Ethics of Using Smart City AI and Big Data.

Smart city applications make it potentially possible to collect data in many ways, for many purposes, but the technologies cannot answer questions about what is appropriate. In The Smart Enough City: Putting Technology in its Place to Reclaim Our Urban Future (2019), author Ben Green describes examples when some cities have failed and others succeeded in judging what smart applications should be used.

Attention to what constitutes ethical practice with location data can give additional help to leaders making that kind of judgement….(More)”

Empowering Local Communities Using Artificial Intelligence

Curated on Posted on by Stefaan Verhulst

Paper by Yen-Chia Hsu et al: “Many powerful Artificial Intelligence (AI) techniques have been engineered with the goals of high performance and accuracy. Recently, AI algorithms have been integrated into diverse and real-world applications. It has become an important topic to explore the impact of AI on society from a people-centered perspective. Previous works in citizen science have identified methods of using AI to engage the public in research, such as sustaining participation, verifying data quality, classifying and labeling objects, predicting user interests, and explaining data patterns. These works investigated the challenges regarding how scientists design AI systems for citizens to participate in research projects at a large geographic scale in a generalizable way, such as building applications for citizens globally to participate in completing tasks. In contrast, we are interested in another area that receives significantly less attention: how scientists co-design AI systems “with” local communities to influence a particular geographical region, such as community-based participatory projects. Specifically, this article discusses the challenges of applying AI in Community Citizen Science, a framework to create social impact through community empowerment at an intensely place-based local scale. We provide insights in this under-explored area of focus to connect scientific research closely to social issues and citizen needs…(More)”.

Big data for big issues: Revealing travel patterns of low-income population based on smart card data mining in a global south unequal city

Curated on Posted on by Stefaan Verhulst

Paper by Caio Pieroni, Mariana Giannotti, Bianca B.Alves, and Renato Arbex: “Smart card data (SCD) allow analyzing mobility at a fine level of detail, despite the remaining challenges such as identifying trip purpose. The use of the SCD may improve the understanding of transit users’ travel patterns from precarious settlements areas, where the residents have historically limited access to opportunities and are usually underrepresented in surveys. In this paper, we explore smart card data mining to analyze the temporal and spatial patterns of the urban transit movements from residents of precarious settlements areas in São Paulo, Brazil, and compare the similarities and differences in travel behavior with middle/high-income-class residents. One of our concerns is to identify low-paid employment travel patterns from the low-income-class residents, that are also underrepresented in transportation planning modeling due to the lack of data. We employ the k-means clustering algorithm for the analysis, and the DBSCAN algorithm is used to infer passengers’ residence locations. The results reveal that most of the low-income residents of precarious settlements begin their first trip before, between 5 and 7 AM, while the better-off group begins from 7 to 9 AM. At least two clusters formed by commuters from precarious settlement areas suggest an association of these residents with low-paid employment, with their activities placed in medium / high-income residential areas. So, the empirical evidence revealed in this paper highlights smart card data potential to unfold low-paid employment spatial and temporal patterns….(More)”.

Putting data at the heart of policymaking will accelerate London’s recovery

Curated on Posted on by Stefaan Verhulst

Mel Hobson at Computer Weekly: “…London’s mayor, Sadiq Khan, knows how important this is. His re-election manifesto committed to rebuilding the London Datastore, currently home to over 700 freely available datasets, as the central register linking data across our city. That in turn will help analysts, researchers and policymakers understand our city and develop new ideas and solutions.

To help take the next step and create a data ecosystem that can improve millions of Londoners lives, businesses across our capital are committing their expertise and insights.

At London First, we have launched the London Data Charter, expertly put together by Pinsent Masons, and setting out the guiding principles for private and public sector data collaborations, which are key to creating this ecosystem. These include a focus on protecting privacy and security of data, promoting trust and sharing learnings with others – creating scalable solutions to meet the capital’s challenges….(More)”.

Urban Future with a Purpose

Curated on Posted on by Stefaan Verhulst

Deloitte Report: “The world is going through a transformative journey and so are cities. As centers of innovation and shared prosperity, cities are where the future happens first, hence envisioning the Future of Cities is anticipating the future of human living.

This report comprises 12 main trends that will affect our urban living in the upcoming future, its explanation, impact and key case studies where they are being implemented. Under this research project, Deloitte has listened to experts from all over the globe. These include Mayors of reference cities across the globe, international organizations leaders, urban policy institutions, as well as notorious urban planners, practitioners and researchers. Their views and insights offer further depth to our analysis.

Covering domains such as Mobility, Living & Health, Government & Education, Energy & Environment, Safety & Security and Economy, the purpose of our 360-degree comprehensive analysis is to create a constructive tool for everyone to use and practice what moves us day-by-day: foretell, design and build better cities….(More)”.

Little Rock Shows How Open Data Drives Resident Engagement

Curated on Posted on by Stefaan Verhulst

Blog by  Ross Schwartz: “The 12th Street corridor is in the heart of Little Rock, stretching west from downtown across multiple neighborhoods. But for years the area had suffered from high crime rates and disinvestment, and is considered a food desert.

With the intention of improving public safety and supporting efforts to revitalize the area, the City built a new police station in 2014 on the street. And, in the years following, as city staff ramped up efforts to place data at the center of problem-solving, it began to hold two-day-long “Data Academy” trainings for city employees and residents on foundational data practices, including data analysis.

Responding to public safety concerns, a 2018 Data Academy training focused on 12th Street. A cross-department team dug into data sets to understand the challenges facing the area, looking at variables including crime, building code violations, and poverty. It turned out the neighborhood with the highest levels of crime and blight was actually blocks away from 12th Street itself, in Midtown. A predominantly African-American neighborhood just east of the University of Arkansas at Little Rock campus, Midtown has a mix of older longtime homeowners and younger renters.

“It was a real data-driven ‘a-ha’ moment — an example of what you can understand about a city if you have the right data sets and look in the right places,” says Melissa Bridges, Little Rock’s performance and innovation coordinator. With support from What Works Cities (WWC), for the last five years she’s led Little Rock’s efforts to build open data and performance measurement resources and infrastructure…

Newly aware of Midtown’s challenges, city officials decided to engage residents in the neighborhood and adjacent areas. Data Academy members hosted a human-centered design workshop, during which residents were given the opportunity to self-prioritize their pressing concerns. Rather than lead the workshop, officials from various city departments quietly observed the discussion.

The main issue that emerged? Many parts of Midtown were poorly lit due to broken or blocked streetlights. Many residents didn’t feel safe and didn’t know how to alert the City to get lights fixed or vegetation cut back. A review of 311 request data showed that few streetlight problems in the area were ever reported to the City.

Aware of studies showing the correlation between dark streets and crime, the City designed a streetlight canvassing project in partnership with area neighborhood associations to engage and empower residents. Bridges and her team built canvassing route maps using Google Maps and Little Rock Citizen Connect, which collects 311 requests and other data sets. Then they gathered resident volunteers to walk or drive Midtown’s streets on a Friday night, using the City’s 311 mobile app to make a light service request and tag the location….(More)”.

Introduction to Urban Science: Evidence and Theory of Cities as Complex Systems

Curated on Posted on by Stefaan Verhulst

Book by Luís M. A. Bettencourt: “Human beings around the world increasingly live in urban environments. In Introduction to Urban Science, Luis Bettencourt takes a novel, integrative approach to understanding cities as complex adaptive systems, claiming that they require us to frame the field of urban science in a way that goes beyond existing theory in such traditional disciplines as sociology, geography, and economics. He explores the processes facilitated by and, in many cases, unleashed for the first time by urban life through the lenses of social heterogeneity, complex networks, scaling, circular causality, and information.

Though the idea that cities are complex adaptive systems has become mainstream, until now those who study cities have lacked a comprehensive theoretical framework for understanding cities and urbanization, for generating useful and falsifiable predictions, and for constructing a solid body of empirical evidence so that the discipline of urban science can continue to develop. Bettencourt applies his framework to such issues as innovation and development across scales, human reasoning and strategic decision-making, patterns of settlement and mobility and their influence on socioeconomic life and resource use, inequality and inequity, biodiversity, and the challenges of sustainable development in both high- and low-income nations. It is crucial, says Bettencourt, to realize that cities are not “zero-sum games” and that knowledge, human cooperation, and collective action can build a better future….(More)”.

The geography of AI

Curated on Posted on by Stefaan Verhulst

Report by Mark Muro and Sifan Liu: “Much of the U.S. artificial intelligence (AI) discussion revolves around futuristic dreams of both utopia and dystopia. From extreme to extreme, the promises range from solutions to global climate change to a “robot apocalypse.”

However, it bears remembering that AI is also becoming a real-world economic fact with major implications for national and regional economic development as the U.S. crawls out of the COVID-19 pandemic.

Based on advanced uses of statistics, algorithms, and fast computer processing, AI has become a focal point of U.S. innovation debates. Even more, AI is increasingly viewed as the next great “general purpose technology”—one that has the power to boost the productivity of sector after sector of the economy.

All of which is why state and city leaders are increasingly assessing AI for its potential to spur economic growth. Such leaders are analyzing where their regions stand and what they need to do to ensure their locations are not left behind.

In response to such questions, this analysis examines the extent, location, and concentration of AI technology creation and business activity in U.S. metropolitan areas.

Employing seven basic measures of AI capacity, the report benchmarks regions on the basis of their core AI assets and capabilities as they relate to two basic dimensions: AI research and AI commercialization. In doing so, the assessment categorizes metro areas into five tiers of regional AI involvement and extracts four main findings reflecting that involvement…(More)”.