Furthermore, we argue that IBM and Cisco construct smart urbanism as both a reactionary and visionary force, plotting a model of the near future, but one that largely reflects and reinforces existing sociopolitical systems. We conclude by suggesting that breaking IBM’s and Cisco’s discursive dominance over the smart city imaginary requires us to reimagine what smart urbanism means and create counter-narratives that open up space for alternative values, designs, and models….(More)”.
Seven design principles for using blockchain for social impact
Stefaan Verhulst at Apolitical: “2018 will probably be remembered as the
In 2019, business will continue to explore blockchain for sectors as disparate as finance, agriculture, logistics
In a recent report I prepared with Andrew Young, with the support of the Rockefeller Foundation, we looked at the potential risks and challenges of using blockchain for social change — or “Blockchan.ge.” A number of implementations and platforms are already demonstrating potential social impact.
The technology is now being used to address issues as varied as homelessness in New York City, the Rohingya crisis in Myanmar and government corruption around the world.
In an illustration of the breadth of current experimentation, Stanford’s Center for Social Innovation recently analysed and mapped nearly 200 organisations and projects trying to create positive social change using blockchain. Likewise, the GovLab is developing a mapping of blockchange implementations across regions and topic areas; it currently contains 60 entries.
All these examples provide impressive — and hopeful — proof of concept. Yet despite the very clear potential of blockchain, there has been little systematic analysis. For what types of social impact is it best suited? Under what conditions is it most likely to lead to real social change? What challenges does blockchain face, what risks does it pose and how should these be confronted and mitigated?
These are just some of the questions our report, which builds its analysis on 10 case studies assembled through original research, seeks to address.
While the report is focused on identity management, it contains a number of lessons and insights that are applicable more generally to the subject of blockchange.
In particular, it contains seven design principles that can guide individuals or
The global race is on to build ‘City Brains’
Prediction by Geoff Mulgan, Eva Grobbink and Vincent Straub: “The USSR’s launch of the Sputnik 1 satellite in 1958 was a major psychological blow to the United States. The US had believed it was technologically far ahead of its
In 2019, China’s success in smart cities could prompt a similar “Sputnik Moment” for the rest of the world. It may not be as dramatic as that of 1958. But unlike beeping satellites and Moon landings, it could be coming to a town near you
The concept of a “smart city” has been around for several decades, often associated with hype, grandiose failures, and an overemphasis on hardware rather than people (Nesta has previously written on how we can rethink smart cities and ensure digital innovation realises the potential of technology and people). But various technologies are now coming of age which bring the vision of a smart city closer to fruition. China is in the forefront, investing heavily in sensors and infrastructures, and its ET City Brain project shows just how far the country’s thinking has progressed.
First launched in September 2016, ET City Brain is a collaboration between Chinese technology giant Alibaba and several cities. It was first trialled in Hangzhou, the hometown of Alibaba’s executive chairman, Jack Ma, but has since expanded to other Chinese cities. Earlier this year, Kuala Lumpurbecame the first city outside of China to import the ET City Brain model.
The ET City Brain system gathers large amounts of data (including logs, videos, and data stream) from sensors. These are then processed by algorithms in supercomputers and fed back into control centres around the city for administrators to act on—in some cases, automation means the system works without any human intervention at all.
So far, the project has been used to monitor congestion in Hangzhou, improve the response of emergency services in Guangzhou, and detect traffic accidents in Suzhou. In Hangzhou, Alibaba was given control of 104 traffic light junctions in the city’s Xiaoshan district and tasked with managing traffic flows. By combining mass video surveillance with live data from public transportation systems, ET City Brain was able to autonomously change traffic lights so that emergency vehicles could travel to accident scenes without interruption. As a result, arrival times for ambulances improved by 49 percent….(More)”.
Towards matching user mobility traces in large-scale datasets
Paper by Daniel Kondor, Behrooz Hashemian, Yves-Alexandre de Montjoye and Carlo Ratti: “The problem of unicity and reidentifiability of records in large-scale databases has been studied in different contexts and approaches, with focus on preserving privacy or matching records from different data sources. With an increasing number of service providers nowadays routinely collecting location traces of their users on unprecedented scales, there is a pronounced interest in the possibility of matching records and datasets based on spatial trajectories. Extending previous work on reidentifiability of spatial data and trajectory matching, we present the first large-scale analysis of user matchability in real mobility datasets on realistic scales, i.e. among two datasets that consist of several million people’s mobility traces, coming from a mobile network operator and transportation smart card usage. We extract the relevant statistical properties which influence the matching process and analyze their impact on the matchability of users. We show that for individuals with typical activity in the transportation system (those making 3-4 trips per day on average), a matching algorithm based on the co-occurrence of their activities is expected to achieve a 16.8% success only after a one-week long observation of their mobility traces, and over 55% after four weeks. We show that the main determinant of matchability is the expected number of co-occurring records in the two datasets. Finally, we discuss different scenarios in terms of data collection frequency and give estimates of matchability over time. We show that with higher frequency data collection becoming more common, we can expect much higher success rates in even shorter intervals….(More)”.
Bad Landlord? These Coders Are Here to Help
Luis Ferré-Sadurní in the New York Times: “When Dan Kass moved to New York City in 2013 after graduating from college in Boston, his introduction to the city was one that many New Yorkers are all too familiar with: a bad landlord….
Examples include an app called Heatseek, created by students at a coding academy, that allows tenants to record and report the temperature in their homes to ensure that landlords don’t skimp on the heat. There’s also the Displacement Alert Project, built by a coalition of affordable housing groups, that maps out buildings and neighborhoods at risk of displacement.
Now, many of these civic coders are trying to band together and formalize a community.
For more than a year, Mr. Kass and other housing-data wonks have met each month at a shared work space in Brooklyn to exchange ideas about projects and talk about data sets over beer and snacks. Some come from prominent housing advocacy groups; others work unrelated day jobs. They informally call themselves the Housing Data Coalition.
“The real estate industry has many more programmers, many more developers, many more technical tools at their disposal,” said Ziggy Mintz, 30, a computer programmer who is part of the coalition. “It never quite seems fair that the tenant side of the equation doesn’t have the same tools.”
“Our collaboration is a counteracting force to that,” said Lucy Block, a research and policy associate at the Association for Neighborhood & Housing Development, the group behind the Displacement Alert Project. “We are trying to build the capacity to fight the displacement of low-income people in the city.”
This week, Mr. Kass and his team at JustFix.nyc, a nonprofit technology start-up, launched a new database for tenants that was built off ideas raised during those monthly meetings.
The tool, called Who Owns What, allows tenants to punch in an address and look up other buildings associated with the landlord or management company. It might sound inconsequential, but the tool goes a long way in piercing the veil of secrecy that shrouds the portfolios of landlords….(More)”.
Welcome to ShareTown
Jenni Lloyd and Alice Casey at Nesta: “Today, we’re pleased to welcome you to ShareTown. Our fictional town and its cast of characters
In this future, government plays a plurality of roles, working closely with local people to understand their needs, how these can best be met and by whom. Provided with new opportunities to connect and collaborate with others, individuals and households are free to navigate, combine and contribute to different services as they see fit
…the ShareLab team wanted to find a route by which we could explore how people’s needs can be put at the
Futures Cone from Nesta’s report ‘Don’t Stop Thinking About Tomorrow: A modest defence of futurology’
ShareTown is not intended as a prediction, but a source of inspiration – and provocation. If, as theatre-maker Annette Mees says, the future is fictional and the fictions created about it help us set our direction of travel, then the making of stories about the future we want should be something we can all be involved in – not just the media, politicians, or brands…. (More)”.
All Data Are Local: Thinking Critically in a Data-Driven Society
Book by Yanni Alexander Loukissas: “In our data-driven society, it is too easy to assume the transparency of data. Instead, Yanni Loukissas argues in All Data Are Local, we should approach data sets with an awareness that data are created by humans and their dutiful machines, at a time, in a place, with the instruments at hand, for audiences that are conditioned to receive them. All data are local. The term data set implies something discrete, complete, and portable, but it is none of those things. Examining a series of data sources important for understanding the state of public life in the United States—Harvard’s Arnold Arboretum, the Digital Public Library of America, UCLA’s Television News Archive, and the real estate marketplace Zillow—Loukissas shows us how to analyze data settings rather than data sets.
Loukissas sets out six principles: all data are local; data have complex attachments to place; data are collected from heterogeneous sources; data and algorithms are inextricably entangled; interfaces recontextualize data; and data are indexes to local knowledge. He then provides a set of practical guidelines to follow. To make his argument, Loukissas employs a combination of qualitative research on data cultures and exploratory data visualizations. Rebutting the “myth of digital universalism,” Loukissas reminds us of the meaning-making power of the local….(More)”.
Beijing to Judge Every Resident Based on Behavior by End of 2020
Bloomberg News: “China’s plan to judge each of its 1.3 billion people based on their social behavior is moving a step closer to reality, with Beijing set to adopt a lifelong points program by 2021 that assigns personalized ratings for each resident.
The capital city will pool data from several departments to reward and punish some 22 million citizens based on their actions and reputations by the end of 2020, according to a plan posted on the Beijing municipal government’s website on Monday. Those with better so-called social credit will get “green channel” benefits while those who violate laws will find life more difficult.
The Beijing project will improve blacklist systems so that those deemed untrustworthy will be “unable to move even a single step,” according to the government’s plan. Xinhua reported on the proposal Tuesday, while the report posted on the municipal government’s website is dated July 18.
China has long experimented with systems that grade its citizens, rewarding good behavior with streamlined services while punishing bad actions with restrictions and penalties. Critics say such moves are fraught with risks and could lead to systems that reduce humans to little more than a report card.
Ambitious Plan
Beijing’s efforts represent the most ambitious yet among more than a dozen cities that are moving ahead with similar programs.
Hangzhou rolled out its personal credit system earlier this year, rewarding “pro-social behaviors” such as volunteer work and blood donations while punishing those who violate traffic laws and charge under-the-table fees. By the end of May, people with bad credit in China have been blocked from booking more than 11 million flights and 4 million high-speed train trips, according to the National Development and Reform Commission.
According to the Beijing government’s plan, different agencies will link databases to get a more detailed picture of every resident’s interactions across a swathe of services
Force Google, Apple and Uber to share mapping data, UK advised
Aliya Ram and Madhumita Murgia at the Financial Times: “The UK government should force Google, Apple, Uber and others to share their mapping data so that other companies can develop autonomous cars, drones and transport apps, according to an influential campaign group. The Open Data Institute, co-founded by Tim Berners-Lee at MIT and Nigel Shadbolt, artificial intelligence professor at the University of Oxford, warned on Tuesday that big tech companies had become “data monopolies”.
The group said the UK’s Geospatial Commission should ask the companies to share map data with rivals and the public sector in a collaborative database or else force them to do so with legislation.
“Google along with all of the other companies like Apple and Uber are trying to deliver an excellent service to their clients and customers,” said Jeni Tennison, chief executive of the Open Data Institute. “The status quo is not optimal because all of the
On Tuesday, the UK government said its Office for Artificial Intelligence had teamed up with the ODI to pilot two new “data trusts” — legal structures that allow multiple groups to share anonymised information. Data trusts have been described as a good way for small business to compete with large rivals that have lots of data, but only a handful have been set up so far.
The trusts will be designed over the next few months and could be used to share data, for example, about cities, the environment, biodiversity and transport. Ms Tennison said the ODI was also working on a data trust with the mayor of London, Sadiq Khan, and local authorities in Greenwich to see how real time data from the internet of things and sensors could be shared with start-ups to solve problems in the city. London’s transport authority has said ride hailing apps would be forced to turn over travel data to the government. Uber now provides public access to its data on traffic and travel conditions in the UK….(More) (Full Report)”.
It’s time to let citizens tackle the wickedest public problems
Gabriella Capone at apolitical (a winner of the 2018 Apolitical Young Thought Leaders competition): “Rain ravaged Gdańsk in 2016, taking the lives of two residents and causing millions of euros in damage. Despite its 700-year history of flooding the city was overwhelmed by these especially devastating floods. Also, Gdańsk is one of the European coasts most exposed to rising sea levels. It needed a new approach to avoid similar outcomes for the next, inevitable encounter with this worsening problem.
Bringing in citizens to tackle such a difficult issue was not the obvious course of action. Yet this was the proposal of Dr. Marcin Gerwin, an advocate from a neighbouring town who paved the way for Poland’s first participatory budgeting experience.
Mayor Adamowicz of Gdańsk agreed and, within a year, they welcomed about 60 people to the first Citizens Assembly on flood mitigation. Implemented by Dr. Gerwin and a team of coordinators, the Assembly convened over four Saturdays, heard expert testimony, and devised solutions.
The Assembly was not only deliberative and educational, it was action-oriented. Mayor Adamowicz committed to implement proposals on which 80% or more of participants agreed. The final 16 proposals included the investment of nearly $40 million USD in monitoring systems and infrastructure, subsidies to incentivise individuals to improve water management on their property, and an educational “Do Not Flood” campaign to highlight emergency resources.
It may seem risky to outsource the solving of difficult issues to citizens. Yet, when properly designed, public problem-solving can produce creative resolutions to formidable challenges. Beyond Poland, public problem-solving initiatives in Mexico and the United States are making headway on pervasive issues, from flooding to air pollution, to technology in public spaces.
The GovLab, with support from the Tinker Foundation, is