Glen Martin at Forbes: “If the modern city is a symbol for randomness — even chaos — the city of the near future is shaping up along opposite metaphorical lines. The urban environment is evolving rapidly, and a model is emerging that is more efficient, more functional, more — connected, in a word.
This will affect how we work, commute, and spend our leisure time. It may well influence how we relate to one another, and how we think about the world. Certainly, our lives will be augmented: better public transportation systems, quicker responses from police and fire services, more efficient energy consumption. But there could also be dystopian impacts: dwindling privacy and imperiled personal data. We could even lose some of the ferment that makes large cities such compelling places to live; chaos is stressful, but it can also be stimulating.
It will come as no surprise that converging digital technologies are driving cities toward connectedness. When conjoined, ISM band transmitters, sensors, and smart phone apps form networks that can make cities pretty darn smart — and maybe more hygienic. This latter possibility, at least, is proposed by Samrat Saha of the DCI Marketing Group in Milwaukee. Saha suggests “crowdsourcing” municipal trash pick-up via BLE modules, proximity sensors and custom mobile device apps.
“My idea is a bit tongue in cheek, but I think it shows how we can gain real efficiencies in urban settings by gathering information and relaying it via the Cloud,” Saha says. “First, you deploy sensors in garbage cans. Each can provides a rough estimate of its fill level and communicates that to a BLE 112 Module.”
As pedestrians who have downloaded custom “garbage can” apps on their BLE-capable iPhone or Android devices pass by, continues Saha, the information is collected from the module and relayed to a Cloud-hosted service for action — garbage pick-up for brimming cans, in other words. The process will also allow planners to optimize trash can placement, redeploying receptacles from areas where need is minimal to more garbage-rich environs….
Garbage can connectivity has larger implications than just, well, garbage. Brett Goldstein, the former Chief Data and Information Officer for the City of Chicago and a current lecturer at the University of Chicago, says city officials found clear patterns between damaged or missing garbage cans and rat problems.
“We found areas that showed an abnormal increase in missing or broken receptacles started getting rat outbreaks around seven days later,” Goldstein said. “That’s very valuable information. If you have sensors on enough garbage cans, you could get a temporal leading edge, allowing a response before there’s a problem. In urban planning, you want to emphasize prevention, not reaction.”
Such Cloud-based app-centric systems aren’t suited only for trash receptacles, of course. Companies such as Johnson Controls are now marketing apps for smart buildings — the base component for smart cities. (Johnson’s Metasys management system, for example, feeds data to its app-based Paoptix Platform to maximize energy efficiency in buildings.) In short, instrumented cities already are emerging. Smart nodes — including augmented buildings, utilities and public service systems — are establishing connections with one another, like axon-linked neurons.
But Goldstein, who was best known in Chicago for putting tremendous quantities of the city’s data online for public access, emphasizes instrumented cities are still in their infancy, and that their successful development will depend on how well we “parent” them.
“I hesitate to refer to ‘Big Data,’ because I think it’s a terribly overused term,” Goldstein said. “But the fact remains that we can now capture huge amounts of urban data. So, to me, the biggest challenge is transitioning the fields — merging public policy with computer science into functional networks.”…”
When Tech Culture And Urbanism Collide
John Tolva: “…We can build upon the success of the work being done at the intersection of technology and urban design, right now.
For one, the whole realm of social enterprise — for-profit startups that seek to solve real social problems — has a huge overlap with urban issues. Impact Engine in Chicago, for instance, is an accelerator squarely focused on meaningful change and profitable businesses. One of their companies, Civic Artworks, has set as its goal rebalancing the community planning process.
The Code for America Accelerator and Tumml, both located in San Francisco, morph the concept of social innovation into civic/urban innovation. The companies nurtured by CfA and Tumml are filled with technologists and urbanists working together to create profitable businesses. Like WorkHands, a kind of LinkedIn for blue collar trades. Would something like this work outside a city? Maybe. Are its effects outsized and scale-ready in a city? Absolutely. That’s the opportunity in urban innovation.
Scale is what powers the sharing economy and it thrives because of the density and proximity of cities. In fact, shared resources at critical density is one of the only good definitions for what a city is. It’s natural that entrepreneurs have overlaid technology on this basic fact of urban life to amplify its effects. Would TaskRabbit, Hailo or LiquidSpace exist in suburbia? Probably, but their effects would be minuscule and investors would get restless. The city in this regard is the platform upon which sharing economy companies prosper. More importantly, companies like this change the way the city is used. It’s not urban planning, but it is urban (re)design and it makes a difference.
A twist that many in the tech sector who complain about cities often miss is that change in a city is not the same thing as change in city government. Obviously they are deeply intertwined; change is mighty hard when it is done at cross-purposes with government leadership. But it happens all the time. Non-government actors — foundations, non-profits, architecture and urban planning firms, real estate developers, construction companies — contribute massively to the shape and health of our cities.
Often this contribution is powered through policies of open data publication by municipal governments. Open data is the raw material of a city, the vital signs of what has happened there, what is happening right now, and the deep pool of patterns for what might happen next.
Tech entrepreneurs would do well to look at the organizations and companies capitalizing on this data as the real change agents, not government itself. Even the data in many cases is generated outside government. Citizens often do the most interesting data-gathering, with tools like LocalData. The most exciting thing happening at the intersection of technology and cities today — what really makes them “smart” — is what is happening at the periphery of city government. It’s easy to belly-ache about government and certainly there are administrations that to do not make data public (or shut it down), but tech companies who are truly interested in city change should know that there are plenty of examples of how to start up and do it.
And yet, the somewhat staid world of architecture and urban-scale design presents the most opportunity to a tech community interested in real urban change. While technology obviously plays a role in urban planning — 3D visual design tools like Revit and mapping services like ArcGIS are foundational for all modern firms — data analytics as a serious input to design matters has only been used in specialized (mostly energy efficiency) scenarios. Where are the predictive analytics, the holistic models, the software-as-a-service providers for the brave new world of urban informatics and The Internet of Things? Technologists, it’s our move.
Something’s amiss when some city governments — rarely the vanguard in technological innovation — have more sophisticated tools for data-driven decision-making than the private sector firms who design the city. But some understand the opportunity. Vannevar Technology is working on it, as is Synthicity. There’s plenty of room for the most positive aspects of tech culture to remake the profession of urban planning itself. (Look to NYU’s Center for Urban Science and Progress and the University of Chicago’s Urban Center for Computation and Data for leadership in this space.)…”
A Bottom-Up Smart City?
Alicia Rouault at Data-Smart City Solutions: “America’s shrinking cities face a tide of disinvestment, abandonment, vacancy, and a shift toward deconstruction and demolition followed by strategic reinvestment, rightsizing, and a host of other strategies designed to renew once-great cities. Thriving megacity regions are experiencing rapid growth in population, offering a different challenge for city planners to redefine density, housing, and transportation infrastructure. As cities shrink and grow, policymakers are increasingly called to respond to these changes by making informed, data-driven decisions. What is the role of the citizen in this process of collecting and understanding civic data?
Writing for Forbes in “Open Sourcing the Neighborhood,” Professor of Sociology at Columbia University Saskia Sassen calls for “open source urbanism” as an antidote to the otherwise top-down smart city movement. This form of urbanism involves opening traditional verticals of information within civic and governmental institutions. Citizens can engage with and understand the logic behind decisions by exploring newly opened administrative data. Beyond opening these existing datasets, Sassen points out that citizen experts hold invaluable institutional memory that can serve as an alternate and legitimate resource for policymakers, economists, and urban planners alike.
In 2012, we created a digital platform called LocalData to address the production and use of community-generated data in a municipal context. LocalData is a digital mapping service used globally by universities, non-profits, and municipal governments to gather and understand data at a neighborhood scale. In contrast to traditional Census or administrative data, which is produced by a central agency and collected infrequently, our platform provides a simple method for both community-based organizations and municipal employees to gather real-time data on project-specific indicators: property conditions, building inspections, environmental issues or community assets. Our platform then visualizes data and exports it into formats integrated with existing systems in government to seamlessly provide accurate and detailed information for decision makers.
LocalData began as a project in Detroit, Michigan where the city was tackling a very real lack of standard, updated, and consistent condition information on the quality and status of vacant and abandoned properties. Many of these properties were owned by the city and county due to high foreclosure rates. One of Detroit’s strategies for combating crime and stabilizing neighborhoods is to demolish property in a targeted fashion. This strategy serves as a political win as much as providing an effective way to curb the secondary effects of vacancy: crime, drug use, and arson. Using LocalData, the city mapped critical corridors of emergent commercial property as an analysis tool for where to place investment, and documented thousands of vacant properties to understand where to target demolition.
Vacancy is not unique to the Midwest. Following our work with the Detroit Mayor’s office and planning department, LocalData has been used in dozens of other cities in the U.S. and abroad. Currently the Smart Chicago Collaborative is using LocalData to conduct a similar audit of vacant and abandoned property in southwest Chicagos. Though an effective tool for capturing building-specific information, LocalData has also been used to capture behavior and movement of goods. The MIT Megacities Logistics Lab has used LocalData to map and understand the intensity of urban supply chains by interviewing shop owners and mapping delivery routes in global megacities in Mexico, Colombia, Brazil and the U.S. The resulting information has been used with analytical models to help both city officials and companies to design better city logistics policies and operations….”
Open data and transparency: a look back at 2013
Web-based technology continued to offer increasing numbers of people the ability to share standardised data and statistics to demand better governance and strengthen accountability. 2013 seemed to herald the moment that the open data/transparency movement entered the mainstream.
Yet for those who have long campaigned on the issue, the call was more than just a catchphrase, it was a unique opportunity. “If we do get a global drive towards open data in relation to development or anything else, that would be really transformative and it’s quite rare to see such bold statements at such an early stage of the process. I think it set the tone for a year in which transparency was front and centre of many people’s agendas,” says David Hall Matthews, of Publish What You Fund.
This year saw high level discussions translated into commitments at the policy level. David Cameron used the UK’s presidency of the G8 to trigger international action on the three Ts (tax, trade and transparency) through the IF campaign. The pledge at Lough Erne, in Scotland, reaffirmed the commitment to the Busan open data standard as well as the specific undertaking that all G8 members would implement International Aid Transparency Index (IATI) standards by the end of 2015.
2013 was a particularly good year for the US Millenium Challenge Corporation (MCC) which topped the aid transparency index. While at the very top MCC and UK’s DfID were examples of best practice, there was still much room for improvement. “There is a really long tail of agencies who are not really taking transparency at all, yet. This includes important donors, the whole of France and the whole of Japan who are not doing anything credible,” says Hall-Matthews.
Yet given the increasing number of emerging and ‘frontier‘ markets whose growth is driven in large part by wealth derived from natural resources, 2013 saw a growing sense of urgency for transparency to be applied to revenues from oil, gas and mineral resources that may far outstrip aid. In May, the new Extractive Industries Transparency Initiative standard (EITI) was adopted, which is said to be far broader and deeper than its previous incarnation.
Several countries have done much to ensure that transparency leads to accountability in their extractive industries. In Nigeria, for example, EITI reports are playing an important role in the debate about how resources should be managed in the country. “In countries such as Nigeria they’re taking their commitment to transparency and EITI seriously, and are going beyond disclosing information but also ensuring that those findings are acted upon and lead to accountability. For example, the tax collection agency has started to collect more of the revenues that were previously missing,” says Jonas Moberg, head of the EITI International Secretariat.
But just the extent to which transparency and open data can actually deliver on its revolutionary potential has also been called into question. Governments and donors agencies can release data but if the power structures within which this data is consumed and acted upon do not shift is there really any chance of significant social change?
The complexity of the challenge is illustrated by the case of Mexico which, in 2014, will succeed Indonesia as chair of the Open Government Partnership. At this year’s London summit, Mexico’s acting civil service minister, spoke of the great strides his country has made in opening up the public procurement process, which accounts for around 10% of GDP and is a key area in which transparency and accountability can help tackle corruption.
There is, however, a certain paradox. As SOAS professor, Leandro Vergara Camus, who has written extensively on peasant movements in Mexico, explains: “The NGO sector in Mexico has more of a positive view of these kinds of processes than the working class or peasant organisations. The process of transparency and accountability have gone further in urban areas then they have in rural areas.”…
With increasing numbers of organisations likely to jump on the transparency bandwagon in the coming year the greatest challenge is using it effectively and adequately addressing the underlying issues of power and politics.
Top 2013 transparency publications
Open data, transparency and international development, The North South Institute
Data for development: The new conflict resource?, Privacy International
The fix-rate: a key metric for transparency and accountability, Integrity Action
Making UK aid more open and transparent, DfID
Getting a seat at the table: Civil Society advocacy for budget transparency in “untransparent” countries, International Budget Partnership
The dates that mattered
23-24 May: New Extractive Industries Transparency Index standard adopted
30 May: Post 2015 high level report calling for a ‘data revolution’ is published
17-18 June: UK premier, David Cameron, campaigns for tax, trade and transparency during the G8
24 October: US Millenium Challenge Corporation tops the aid transparency index”
30 October – 1 November: Open Government Partnership in London gathers civil society, governments and data experts
Are Smart Cities Empty Hype?
Irving Wladawsky-Berger in the Wall Street Journal: “A couple of weeks ago I participated in an online debate sponsored by The Economist around the question: Are Smart Cities Empty Hype? Defending the motion was Anthony Townsend, research director at the Institute for the Future and adjunct faculty member at NYU’s Wagner School of Public Service. I took the opposite side, arguing the case against the motion.
The debate consisted of three phases spread out over roughly 10 days. We each first stated our respective positions in our opening statements, followed a few days later by our rebuttals, and then finally our closing statements. It was moderated by Ludwig Siegele, online business and finance editor at The Economist. Throughout the process, people were invited to vote on the motion, as well as to post their own comments.
The debate was inspired, I believe, by The Multiplexed Metropolis, an article Mr. Siegele published in the September 7 issue of The Economist which explored the impact of Big Data on cities. He wrote that the vast amounts of data generated by the many social interactions taking place in cities might lead to a kind of second electrification, transforming 21st century cities much as electricity did in the past. “Enthusiasts think that data services can change cities in this century as much as electricity did in the last one,” he noted. “They are a long way from proving their case.”
In my opening statement, I said that I strongly believe that digital technologies and the many data services they are enabling will make cities smarter and help transform them over time. My position is not surprising, given my affiliations with NYU’s Center for Urban Science and Progress (CUSP) and Imperial College’s Digital City Exchange, as well as my past involvements with IBM’s Smarter Cities and with Citigroup’s Citi for Cities initiatives. But, I totally understand why so many– almost half of those voting and quite a few who left comments–feel that smart cities are mostly hype. The case for smart cities is indeed far from proven.
Cities are the most complex social organisms created by humans. Just about every aspect of human endeavor is part of the mix of cities, and they all interact with each other leading to a highly dynamic system of systems. Moreover, each city has its own unique style and character. As is generally the case with transformative changes to highly complex systems, the evolution toward smart cities will likely take quite a bit longer than we anticipate, but the eventual impact will probably be more transformative than we can currently envision.
Electrification, for example, started in the U.S., Britain and other advanced nations around the 1880s and took decades to deploy and truly transform cities. The hype around smart cities that I worry the most about is underestimating their complexity and the amount of research, experimentation, and plain hard work that it will take to realize the promise. Smart cities projects are still in their very early stages. Some will work and some will fail. We have much to learn. Highly complex systems need time to evolve.
Commenting on the opening statements, Mr. Siegele noted: “Despite the motion being Are smart cities empty hype?, both sides have focused on whether these should be implemented top-down or bottom-up. Most will probably agree that digital technology can make cities smarter–meaning more liveable, more efficient, more sustainable and perhaps even more democratic. But the big question is how to get there and how smart cities will be governed.”…
Selected Readings on Crowdsourcing Data
The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of crowdsourcing data was originally published in 2013.
As institutions seek to improve decision-making through data and put public data to use to improve the lives of citizens, new tools and projects are allowing citizens to play a role in both the collection and utilization of data. Participatory sensing and other citizen data collection initiatives, notably in the realm of disaster response, are allowing citizens to crowdsource important data, often using smartphones, that would be either impossible or burdensomely time-consuming for institutions to collect themselves. Civic hacking, often performed in hackathon events, on the other hand, is a growing trend in which governments encourage citizens to transform data from government and other sources into useful tools to benefit the public good.
Selected Reading List (in alphabetical order)
- Chris Baraniuk — Power Politechs — an article on civic hacking focusing on its potential for positive impact with an eye toward debating how the practice should evolve going forward.
- Brandon Barnett, Muki Hansteen Izora and Jose Sia — Civic Hackathon Challenges Design Principles: Making Data Relevant and Useful for Individuals and Communities — a collection of hackathon design principles from researchers at Intel Labs based on their experience at Hack for Change.
- Michael Buhrmester, Tracy Kwang, and Samuel D. Gosling — Amazon’s Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data? — an article exploring the potential of Amazon’s Mechanical Turk platform to act as a useful data source for researchers.
- Michael F. Goodchild and J. Alan Glennon — Crowdsourcing Geographic Information for Disaster Response: a Research Frontier — an article discussing the potential and challenges in the growing trend of tapping citizens to provide geographic data for disaster response.
- Andrew Hudson-Smith, Michael Batty, Andrew Crooks and Richard Milton — Mapping for the Masses Accessing Web 2.0 Through Crowdsourcing — a paper exploring the growing “neogeography” enabled by crowdsourced mapping tools.
- Hudson-Smith, Andrew, Michael Batty, Andrew Crooks, and Richard Milton — Mapping for the Masses Accessing Web 2.0 Through Crowdsourcing — an in-depth study of the growing participatory sensing paradigm.
Annotated Selected Reading List (in alphabetical order)
Baraniuk, Chris. “Power Politechs.” New Scientist 218, no. 2923 (June 29, 2013): 36–39. http://bit.ly/167ul3J.
- In this article, Baraniuk discusses civic hackers, “an army of volunteer coders who are challenging preconceptions about hacking and changing the way your government operates. In a time of plummeting budgets and efficiency drives, those in power have realised they needn’t always rely on slow-moving, expensive outsourcing and development to improve public services. Instead, they can consider running a hackathon, at which tech-savvy members of the public come together to create apps and other digital tools that promise to enhace the provision of healthcare, schools or policing.”
- While recognizing that “civic hacking has established a pedigree that demonstrates its potential for positive impact,” Baraniuk argues that a “more rigorous debate over how this activity should evolve, or how authorities ought to engage in it” is needed.
Barnett, Brandon, Muki Hansteen Izora, and Jose Sia. “Civic Hackathon Challenges Design Principles: Making Data Relevant and Useful for Individuals and Communities.” Hack for Change, https://bit.ly/2Ge6z09.
- In this paper, researchers from Intel Labs offer “guiding principles to support the efforts of local civic hackathon organizers and participants as they seek to design actionable challenges and build useful solutions that will positively benefit their communities.”
- The authors proposed design principles are:
- Focus on the specific needs and concerns of people or institutions in the local community. Solve their problems and challenges by combining different kinds of data.
- Seek out data far and wide (local, municipal, state, institutional, non-profits, companies) that is relevant to the concern or problem you are trying to solve.
- Keep it simple! This can’t be overstated. Focus [on] making data easily understood and useful to those who will use your application or service.
- Enable users to collaborate and form new communities and alliances around data.
Buhrmester, Michael, Tracy Kwang, and Samuel D. Gosling. “Amazon’s Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data?” Perspectives on Psychological Science 6, no. 1 (January 1, 2011): 3–5. http://bit.ly/H56lER.
- This article examines the capability of Amazon’s Mechanical Turk to act a source of data for researchers, in addition to its traditional role as a microtasking platform.
- The authors examine the demographics of MTurkers and find that “MTurk participants are slightly more demographically diverse than are standard Internet samples and are significantly more diverse than typical American college samples; (b) participation is affected by compensation rate and task length, but participants can still be recruited rapidly and inexpensively; (c) realistic compensation rates do not affect data quality; and (d) the data obtained are at least as reliable as those obtained via traditional methods.”
- The paper concludes that, just as MTurk can be a strong tool for crowdsourcing tasks, data derived from MTurk can be high quality while also being inexpensive and obtained rapidly.
Goodchild, Michael F., and J. Alan Glennon. “Crowdsourcing Geographic Information for Disaster Response: a Research Frontier.” International Journal of Digital Earth 3, no. 3 (2010): 231–241. http://bit.ly/17MBFPs.
- This article examines issues of data quality in the face of the new phenomenon of geographic information being generated by citizens, in order to examine whether this data can play a role in emergency management.
- The authors argue that “[d]ata quality is a major concern, since volunteered information is asserted and carries none of the assurances that lead to trust in officially created data.”
- Due to the fact that time is crucial during emergencies, the authors argue that, “the risks associated with volunteered information are often outweighed by the benefits of its use.”
- The paper examines four wildfires in Santa Barbara in 2007-2009 to discuss current challenges with volunteered geographical data, and concludes that further research is required to answer how volunteer citizens can be used to provide effective assistance to emergency managers and responders.
Hudson-Smith, Andrew, Michael Batty, Andrew Crooks, and Richard Milton. “Mapping for the Masses Accessing Web 2.0 Through Crowdsourcing.” Social Science Computer Review 27, no. 4 (November 1, 2009): 524–538. http://bit.ly/1c1eFQb.
- This article describes the way in which “we are harnessing the power of web 2.0 technologies to create new approaches to collecting, mapping, and sharing geocoded data.”
- The authors examine GMapCreator and MapTube, which allow users to do a range of map-related functions such as create new maps, archive existing maps, and share or produce bottom-up maps through crowdsourcing.
- They conclude that “these tools are helping to define a neogeography that is essentially ‘mapping for the masses,’ while noting that there are many issues of quality, accuracy, copyright, and trust that will influence the impact of these tools on map-based communication.”
Kanhere, Salil S. “Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces.” In Distributed Computing and Internet Technology, edited by Chittaranjan Hota and Pradip K. Srimani, 19–26. Lecture Notes in Computer Science 7753. Springer Berlin Heidelberg. 2013. https://bit.ly/2zX8Szj.
- This paper provides a comprehensive overview of participatory sensing — a “new paradigm for monitoring the urban landscape” in which “ordinary citizens can collect multi-modal data streams from the surrounding environment using their mobile devices and share the same using existing communications infrastructure.”
- In addition to examining a number of innovative applications of participatory sensing, Kanhere outlines the following key research challenges:
- Dealing with incomplete samples
- Inferring user context
- Protecting user privacy
- Evaluating data trustworthiness
- Conserving energy
Owning the city: New media and citizen engagement in urban design
Paper by Michiel de Lange and Martijn de Waal in First Monday : “In today’s cities our everyday lives are shaped by digital media technologies such as smart cards, surveillance cameras, quasi–intelligent systems, smartphones, social media, location–based services, wireless networks, and so on. These technologies are inextricably bound up with the city’s material form, social patterns, and mental experiences. As a consequence, the city has become a hybrid of the physical and the digital. This is perhaps most evident in the global north, although in emerging countries, like Indonesia and China mobile phones, wireless networks and CCTV cameras have also become a dominant feature of urban life (Castells, et al., 2004; Qiu, 2007, 2009; de Lange, 2010). What does this mean for urban life and culture? And what are the implications for urban design, a discipline that has hitherto largely been concerned with the city’s built form?
In this contribution we do three things. First we take a closer look at the notion of ‘smart cities’ often invoked in policy and design discourses about the role of new media in the city. In this vision, the city is mainly understood as a series of infrastructures that must be managed as efficiently as possible. However, critics note that these technological imaginaries of a personalized, efficient and friction–free urbanism ignore some of the basic tenets of what it means to live in cities (Crang and Graham, 2007).
Second, we want to fertilize the debates and controversies about smart cities by forwarding the notion of ‘ownership’ as a lens to zoom in on what we believe is the key question largely ignored in smart city visions: how to engage and empower citizens to act on complex collective urban problems? As is explained in more detail below, we use ‘ownership’ not to refer to an exclusive proprietorship but to an inclusive form of engagement, responsibility and stewardship. At stake is the issue how digital technologies shape the ways in which people in cities manage coexistence with strangers who are different and who often have conflicting interests, and at the same time form new collectives or publics around shared issues of concern (see, for instance, Jacobs, 1992; Graham and Marvin, 2001; Latour, 2005). ‘Ownership’ teases out a number of shifts that take place in the urban public domain characterized by tensions between individuals and collectives, between differences and similarities, and between conflict and collaboration.
Third, we discuss a number of ways in which the rise of urban media technologies affects the city’s built form. Much has been said and written about changing spatial patterns and social behaviors in the media city. Yet as the editors of this special issue note, less attention has been paid to the question how urban new media shape the built form. The notion of ownership allows us to figure the connection between technology and the city as more intricate than direct links of causality or correlation. Therefore, ownership in our view provides a starting point for urban design professionals and citizens to reconsider their own role in city making.
Questions about the role of digital media technologies in shaping the social fabric and built form of urban life are all the more urgent in the context of challenges posed by rapid urbanization, a worldwide financial crisis that hits particularly hard on the architectural sector, socio–cultural shifts in the relationship between professional and amateur, the status of expert knowledge, societies that face increasingly complex ‘wicked’ problems, and governments retreating from public services. When grounds are shifting, urban design professionals as well as citizens need to reconsider their own role in city making.”
Experts rank the top 10 global trends
Pew Research: “A new report from the World Economic Forum ranks the 10 most important global trends, based on a poll of 1,592 leaders from academia, business, government, and non-profits. Here are some data points that compare and contrast the public’s views around the world with the trends identified by the experts….
7. A lack of values in leadership – Between 2007 and 2012, confidence in Organization for Economic Co-operation and Development (OECD) national governments declined from 45% to 40% on average, making it difficult for national authorities to mobilize support for necessary reforms, according to a recent report by the OECD. In the U.S., public trust in government has fallen substantially since 1958 and is near an all-time low.…
9. The growing importance of megacities – Life is increasingly lived in the world’s urban centers. According to the United Nations Population Division, more than half of the world’s population lives in urban areas. However, not all of the world’s regions are equally urban. Africa, for example, is predicted to reach 50 percent urbanization by 2035.
10. The rapid spread of misinformation online – One-third (30%) of the world’s youth have been active online for at least five years, according to the International Telecommunication Union. Social networking has also spread around the world. In 19 of 21 countries, about three-in-ten or more of those polled use sites such as Facebook, according to our survey last year.”
Open Data: From ‘Platform’ to ‘Program’
Engaging Cities: “A few months ago, Dutch designer Mark van der Net launched OSCity.nl, a highly interesting example of what can be done with open data. At first, it looks like a mapping tool. The interface shows a – beautifully designed – map of The Netherlands, color coded according to whatever open data set the user selects, varying from geographical height to the location of empty office buildings. As such it is an example of a broader current in which artists, citizens, ngos and business actors have build online tools to visualize all kinds of data, varying from open government data to collaboratively produced data sets focused on issues like environmental pollution.
What makes OSCity interesting is that it allows users to intuitively map various datasets in combination with each other in so called ‘map stories’. For instance, a map of empty office space can be combined with maps of urban growth and decline, the average renting price per square meter of office space, as well as map that displays the prices of houses for sale. The intersection of those maps shows you where empty office spaces are offered at or below half the price of regular houses and apartments. The result is thus not just an aesthetically pleasing state of affairs, but an action map. Policy makers, developers and citizens can use the insights produced by the map to find empty offices that are worthwhile to turn into houses.
There are two important lessons we can learn from this project. First, it shows the importance of programs like OSCity to make open data platforms operationable for various actors. Over the last few years governments and other organizations have started to open up their datasets, often accompanied with high expectations of citizen empowerment and greater transparency of governments. However, case studies have showed that opening up data and building an open platform is only a first step. Dawes and Helbig have shown that various stakeholders have various needs in terms of standards and protocols, whereas both citizens and government officials need the relevant skills to be able to understand and operate upon the data. ‘Vast amounts of useful information are contained in government data systems’, they write, ‘but the systems themselves are seldom designed for use beyond the collecting agency’s own needs.’ In other words: what is needed to deliver on the expectations of open data, is not only a platform – a publicly available database – but also what I have called ‘programs’ – online tools with intuitive interfaces that make this data intelligible and actionable in concert with the needs of the public.
There is a second issue that OSCity raises. As Jo Bates has pointed out, the main question is: who exactly is empowered through programs like this? Will ‘programs’ that make data operationable work for citizens? Or will their procedures, standards and access be organized to benefit corporate interests? These do not have to be necessarily contradicting, but if the goal is to empower citizens, it is important to engage them as stakeholders in the design of these programs.”
Can These Entrepreneurs Solve The Intractable Problems Of City Government?
FastCoExist: “In case the recent Obamacare debacle didn’t make it clear enough, the government has some serious problems getting technology to work correctly. This is something that President Obama has recognized in the past. In July, he made this statement: “I’m going to be asking more people around the country–more inventors and entrepreneurs and visionaries–to sign up to serve. We’ve got to have the brightest minds to help solve our biggest challenges.”
In San Francisco, that request has been taken on by the newly minted Entrepreneur-in-Residence (EIR) program–the first ever government-run program that helps startups to develop technologies that can be used to deal with pressing government issues. It’s kind of like a government startup incubator. This week, the EIR program announced 11 finalists for the program, which received 200 applications from startups across the world. Three to five startups will ultimately be chosen for the opportunity….
The 11 finalists range from small startups with just a handful of people doing cutting-edge work to companies valued at over $1 billion. Some of the highlights:
- Arrive Labs, a company that crowdsources public transit data and combines it with algorithms and external conditions (like the weather) to predict congestion, and to offer riders faster alternatives.
- A startup called Regroup that offers group messaging through a number of channels, including email, text, Facebook, Twitter, and digital signs.
- Smart waste management company Compology, which is working on a wireless waste monitoring system to tell officials what’s inside city dumpsters and when they are full.
- Birdi, a startup developing smart air quality, carbon monoxide, and smoke detectors that send alerts to your smartphone. The company also has an open API so that developers can pull in public outdoor air quality data.
- Synthicity’s 3-D digital city simulation (think “real-life Simcity”), which is based on urban datasets. The simulation is geared towards transportation planners, urban designers, and others who rely on city data to make decisions…”