Permanent Campaigning in Canada

Curated on Posted on by Stefaan Verhulst

Book by Alex Marland, Thierry Giasson and Anna Lennox Esselment:  “Election campaigning never stops. That is the new reality of politics and government in Canada, where everyone from staffers in the Prime Minister’s Office to backbench MPs practise political marketing and communication as though the official campaign were still underway.

Permanent Campaigning in Canada examines the growth and democratic implications of political parties’ relentless search for votes and popularity and what a constant state of electioneering means for governance. With the emergence of fixed-date elections and digital media, each day is a battle to win mini-contests: the news cycle, public opinion polls, quarterly fundraising results, by-elections, and more. The contributors’ case studies – on political databases, the strategy behind online political communication, the politicization of government advertising, and the role of the PMO and political staff – reveal how political actors are using all available tools at their disposal to secure electoral advantage, including the use of public resources for partisan gain.

This is the first study of a phenomenon that has become embedded in Canadian politics and government. It reveals the extent to which political parties and political staff have embraced non-stop electioneering, and the consequences for our democratic processes and institutions….(More)”

The Way Ahead

Curated on Posted on by Stefaan Verhulst

Transcript of lecture delivered by Stephen Fry on the 28th May  2017 • Hay Festival, Hay-on-Wye: “Peter Florence, the supremo of this great literary festival, asked me some months ago if I might, as part of Hay’s celebration of the five hundredth anniversary of Martin Luther’s kickstarting of the reformation, suggest a reform of the internet…

You will be relieved to know, that unlike Martin Luther, I do not have a full 95 theses to nail to the door, or in Hay’s case, to the tent flap. It might be worth reminding ourselves perhaps, however, of the great excitements of the early 16th century. I do not think it is a coincidence that Luther grew up as one of the very first generation to have access to printed books, much as some of you may have children who were the first to grow up with access to e-books, to iPads and to the internet….

The next big step for AI is the inevitable achievement of Artificial General Intelligence, or AGI, sometimes called ‘full artificial intelligence’ the point at which machines really do think like humans. In 2013, hundreds of experts were asked when they thought AGI may arise and the median prediction was they year 2040. After that the probability, most would say certain, is artificial super-intelligence and the possibility of reaching what is called the Technological Singularity – what computer pioneer John van Neumann described as the point “…beyond which humans affairs, as we know them, could not continue.” I don’t think I have to worry about that. Plenty of you in this tent have cause to, and your children beyond question will certainly know all about it. Unless of course the climate causes such havoc that we reach a Meteorological Singularity. Or the nuclear codes are penetrated by a self-teaching algorithm whose only purpose is to find a way to launch…

It’s clear that, while it is hard to calculate the cascade upon cascade of new developments and their positive effects, we already know the dire consequences and frightening scenarios that threaten to engulf us. We know them because science fiction writers and dystopians in all media have got there before us and laid the nightmare visions out. Their imaginations have seen it all coming. So whether you believe Ray Bradbury, George Orwell, Aldous Huxley, Isaac Asimov, Margaret Atwood, Ridley Scott, Anthony Burgess, H. G. Wells, Stanley Kubrick, Kazuo Ishiguro, Philip K. Dick, William Gibson, John Wyndham, James Cameron, the Wachowski’s or the scores and scores of other authors and film-makers who have painted scenarios of chaos and doom, you can certainly believe that a great transformation of human society is under way, greater than Gutenberg’s revolution – greater I would submit than the Industrial Revolution (though clearly dependent on it) – the greatest change to our ways of living since we moved from hunting and gathering to settling down in farms, villages and seaports and started to trade and form civilisations. Whether it will alter the behaviour, cognition and identity of the individual in the same way it is certain to alter the behaviour, cognition and identity of the group, well that is a hard question to answer.

But believe me when I say that it is happening. To be frank it has happened. The unimaginably colossal sums of money that have flowed to the first two generations of Silicon Valley pioneers have filled their coffers, their war chests, and they are all investing in autonomous cars, biotech, the IoT, robotics Artificial Intelligence and their convergence. None more so than the outlier, the front-runner Mr Elon Musk whose neural link system is well worth your reading about online on the great waitbutwhy.com website. Its author Tim Urban is a paid consultant of Elon Musk’s so he has the advantage of knowing what he is writing about but the potential disadvantage of being parti pri and lacking in objectivity. Elon Musk made enough money from his part in the founding and running of PayPal to fund his manifold exploits. The Neuralink project joins his Tesla automobile company and subsidiary battery and solar power businesses, his Space X reusable spacecraft group, his OpenAI initiative and Hyperloop transport system. The 1950s and 60s Space Race was funded by sovereign governments, this race is funded by private equity, by the original investors in Google, Apple, Facebook and so on. Nation states and their agencies are not major players in this game, least of all poor old Britain. Even if our politicians were across this issue, and they absolutely are not, our votes would still be an irrelevance….

So one thesis I would have to nail up to the tent is to clamour for government to bring all this deeper into schools and colleges. The subject of the next technological wave, I mean, not pornography and prostitution. Get people working at the leading edge of AI and robotics to come into the classrooms. But more importantly listen to them – even if what they say is unpalatable, our masters must have the intellectual courage and honesty to say if they don’t understand and ask for repetition and clarification. This time, in other words, we mustn’t let the wave engulf us, we must ride its crest. It’s not quite too late to re-gear governmental and educational planning and thinking….

The witlessness of our leaders and of ourselves is indeed a problem. The real danger surely is not technology but technophobic Canute-ism, a belief that we can control, change or stem the technological tide instead of understanding that we need to learn how to harness it. Driving cars is dangerous, but we developed driving lesson requirements, traffic controls, seat-belts, maintenance protocols, proximity sensors, emission standards – all kinds of ways of mitigating the danger so as not to deny ourselves the life-changing benefits of motoring.

We understand why angry Ned Ludd destroyed the weaving machines that were threatening his occupation (Luddites were prophetic in their way, it was weaving machines that first used the punched cards on which computers relied right up to the 1970s). We understand too why French workers took their clogs, their sabots as they were called, and threw them into the machinery to jam it up, giving us the word sabotage. But we know that they were in the end, if you’ll pardon the phrase, pissing into the wind. No technology has ever been stopped.

So what is the thesis I am nailing up? Well, there is no authority for me to protest to, no equivalent of Pope Leo X for it to be delivered to, and I am certainly no Martin Luther. The only thesis I can think worth nailing up is absurdly simple. It is a cry as much from the heart as from the head and it is just one word – Prepare. We have an advantage over our hunter gatherer and farming ancestors, for whether it is Winter that is coming, or a new Spring, is entirely in our hands, so long as we prepare….(More)”.

Future Libraries

Curated on Posted on by Stefaan Verhulst

ARUP: “Libraries are going through a renaissance, both in terms of the social infrastructure they provide and in terms of a diversification of the services and experiences offered. In corporate environments they are playing an increasingly important role in the provision of collaborate workspace and innovation. In communities they are evolving into hubs for education, health, entertainment and work….

This report brings to light significant trends that will influence the future of public, academic and corporate libraries and outlines the implications on their design, operation and user experience. It is the result of a collective exploration through series of workshop events held in London, Melbourne, San Francisco and Sydney, attended by experts in the design and management of libraries. This piece of research presents a glimpse into the future. It explores what we may expect to see as the physical and the digital arena continues to evolve and aims to serve as a foundation for further discussion around the future role of libraries in the communities they serve….(More)”

Designing for More Effective Protests

Curated on Posted on by Stefaan Verhulst

Linda Poon at CityLab: “…It’s also safe to assume there will be more protests to come, and that they may be smaller and more dispersed around cities. That’s the argument made by a handful of design and architecture organizations in an open letter in January to New York City Mayor Bill de Blasio suggesting ways the city could make its streets more protest friendly. The Van Alen Institute, one of the signatories, recently followed that up with a related question: How can New Yorkers themselves design for better protests, to make them more inclusive and accessible to the city’s diverse population?

That’s the central question behind the institute’s one-day design contest, “To the Streets,” which asked activists, designers, and people of all backgrounds and disciplines to come up with imaginative—but also realistic—strategies that community members can use to plan effective protests.

One of the key challenges, as outlined in the letter and in the competition rules, is that future protests may not be as big as the Women’s March, nor will they always be held in the most popular protest sites. In a city as diverse as New York, the protests might be more decentralized. Instead of one large protest, smaller ones may happen simultaneously in spaces nestled inside the immigrant communities most affected by the Trump administration’s policies.

The competition asked designers to find ways to link these protest sites together so that their messages resonate throughout the city and so that they stand out. If protests do become more frequent, it’s important that they don’t become normalized, says John Schettino, a fellow at the Design Trust for Public Space and one of the contest judges.

The city might be able to make these protest sites bigger and safer, and it could have the authority to pedestrianize streets like 5th Avenue, where Trump Tower is located. “The physical design of the space tends to be a top-down process that comes from the city government,” Schettino says. But then there’s the “soft infrastructure of activist design,” or how interventions and activism can temporarily reclaim public spaces.

The winning proposal, chosen out of five finalists, came from urban designers James Khamsi and Despo Thoma, who came up with the idea of using flatbed trucks as mobile platforms that act as a central point for protests. Hovering above each truck would be giant balloons whose colorful appearance would draw attention from people miles away, and whose monitors can display the protestors’ messages….(More)”.

The cloud, the crowd, and the city: How new data practices reconfigure urban governance?

Curated on Posted on by Stefaan Verhulst

Introduction to Special Issue of Big Data & Society by Philip Ashton, Rachel Weber and Matthew Zook: “The urban archetype of the flâneur, so central to the concept of modernity, can now experience the city in ways unimaginable one hundred years ago. Strolling around Paris, the contemporary flâneur might stop to post pictures of her discoveries on Instagram, simultaneously identifying points of interest to the rest of her social network and broadcasting her location (perhaps unknowingly). The café she visits might be in the middle of a fundraising campaign through a crowdfunding site such as Kickstarter, and she might be invited to tweet to her followers in exchange for a discount on her pain au chocolate. As she ambles about Paris, the route of her stroll is captured by movement sensors positioned on top of street lights, and this data—aggregated with that of thousands of other pedestrians—could be used by the City of Paris to sync up transit schedules. And if those schedules were not convenient, she might tap Uber to whisk her home to her threadbare pension booked on AirBnB.

This vignette attests to the transformation of the urban experience through technology-enabled platforms that allow for the quick mobilization and exchange of information, public services, surplus capacity, entrepreneurial energy, and money. However, these changes have implicated more than just consumers, as multiple technologies have been taken up in urban governance processes through platforms variously labeled as Big Data, crowd sourcing, or the sharing economy. These systems combine inexpensive data collection and cloud-based storage, distributed social networks, geotagged locational sensing, mobile access (often through “app” platforms), and new collaborative entrepreneurship models to radically alter how the needs of urban residents are identified and how services are delivered and consumed in so-called “smart cities” (Townsend, 2013). Backed by Big Data, smart city initiatives have made inroads into urban service provision and policy in areas such as e-government and transparency, new forms of public-private partnerships through “urban lab” arrangements, or models such as impact investing, civic hacking, or tactical urbanism (cf. Karvonen and van Heur, 2014; Kitchin, 2014; Swyngedouw, 2005).

In the rhetoric used by their boosters, the vision and practice of these technologies “disrupts” existing markets by harnessing the power of “the crowd”—a process fully evident in sectors such as taxi (Uber/Lyft), hoteling (AirBnB), and finance (peer-to-peer lending). However, the notion of disruption has also targeted government bureaucracies and public services, with new initiatives seeking to insert crowd mechanisms or characteristics—at once self-organizing and collectively rational (Brabham, 2008)—into public policy. These mechanisms envision reconfiguring the traditional relationship of public powers with planning and governance by vesting data collection and problem-solving in crowd-like institutional arrangements that are partially or wholly outside the purview of government agencies. While scholars are used to talking about “governance beyond-the-state” (Swyngedouw, 2005) in terms of privatization and a growing scope for civil society organizations, technological intermediation potentially changes the scale and techniques of governance as well as its relationship to sovereign authority.

For instance, civic crowdfunding models have emerged as new means of organizing public service provision and funding community economic development by embracing both market-like bidding mechanisms and social-network technologies to distribute responsibility for planning and financing socially desirable investments to laypeople (Brickstarter, 2012; Correia de Freitas and Amado, 2013; Langley and Leyshon, 2016). Other practices are even more radical in their scope. Toronto’s Urban Repair Squad—an offshoot of the aptly named Critical Mass bike happenings—urges residents to take transportation planning into their own hands and paint their own bike lanes. Their motto: “They say city is broke. We fix. No charge.” (All that is missing is the snarky “you’re welcome” at the end.)

Combined, these emerging platforms and practices are challenging the tactics, capabilities, and authorizations employed to define and govern urban problems. This special theme of Big Data & Society picks up these issues, interrogating the emergence of digital platforms and smart city initiatives that rely on both the crowd and the cloud (new on-demand, internet-based technologies that store and process data) to generate and fold Big Data into urban governance. The papers contained herein were presented as part of a one-day symposium held at the University of Illinois at Chicago (UIC) in April 2015 and sponsored by UIC’s Department of Urban Planning and Policy. Setting aside the tired narratives of individual genius and unstoppable technological progress, workshop participants sought to understand why these practices and platforms have recently gained popularity and what their implementation might mean for cities. Papers addressed numerous questions: How have institutional supports and political-economic contexts facilitated the ascendance of “crowd” and “cloud” models within different spheres of urban governance? How do their advocates position them relative to imaginaries of state or market failure/dysfunction? What kinds of assumptions and expectations are embedded in the design and operation of these platforms and practices? What kinds of institutional reconfigurations have been spurred by the push to adopt smart city initiatives? How is information collected through these initiatives being used to advance particular policy agendas? Who is likely to benefit from them?…(More)”.

Civic Tech Cities

Curated on Posted on by Stefaan Verhulst

Paper by Rebecca Rumbul and Emily Shaw: “‘Civic technology’ is mostly used to refer to NGO led digital initiatives designed to bridge the gap between citizen and institution. However, since the rise of Code for America and similar organisations around the world, civic citizen-focused tech has increasingly been developed and implemented by and with public bodies themselves in an attempt to reach out to citizens and increase engagement and participation. Whilst early civic tech tended to focus on country-level issues, these initiatives are now proliferating at sub-national levels, particularly in cities. These emerging sub-national and municipal level civic technologies form the focus of this research, which explores five case studies of municipal civic tech operating in the US. It examines not only the impacts of this tech upon citizen users, but the effects it has upon the implementing institutions.

Whilst many governments in the world are still working with centralised forms of digital governance, the US has over the last 10 years experienced a plurality of growth in sub-state civic tech usage by city and municipal governments. This nascent government civic tech environment provided a most fertile opportunity for research into the operations and impacts of civic tech employed by official institutions.

This project was designed to examine how civic tech implemented by government is currently operating, who is using it, and what impacts it is having upon service delivery. The aim of this research is therefore to provide a comprehensive picture of civic technology implementation by municipal level public bodies and the challenges and benefits that arise in the process. It is hoped that this report will be of practical use to both public bodies and civic technologists working with them.

The primary deliverable of this project was five case studies of civic tech projects that have been deployed by US cities since 2013:

  • SpeakUpAustin (www.speakupaustin.org), in Austin, Texas
  • LargeLots (www.largelots.org), in Chicago, Illinois
  • RecordTrac (records.oaklandnet.com), in Oakland, California
  • DC311 (311.dc.gov), in Washington, DC
  • Office of Professional Accountability (OPA) Police Complaint Tracker (www.seattle.gov/opa/file-acomplaint-about-the-seattle-police), in Seattle, Washington

In the study, the users of the civic tech tools and the implementers of the tools within government were interviewed about the impact of the tool’s introduction on the delivery of the relevant public service, how these additional sources of public input affected the departments where they had been introduced, whether the department had noted increased efficiency, and whether internal or external stakeholders perceived increased effectiveness.

The civic technology tools examined in this study were generally well-appreciated both internally and externally, receiving good reviews both from the government and non-government sides of their use. People inside and outside of government appreciated the benefits of using them, and expressed interest in maintaining and improving them….(More)”

Tech Companies Should Speak Up for Refugees, Not Only High-Skilled Immigrants

Curated on Posted on by Stefaan Verhulst

Mark Latonero at Harvard Business Review: “The Trump administration’s latest travel ban is back in U.S. federal court. The Fourth Circuit, based in Virginia, and Ninth Circuit, based in San Francisco, are hearing cases challenging the latest executive order banning immigrants and refugees from six Muslim majority countries from entering the United States. Joining the fray are 162 technology companies, whose lawyers collectively filed an amicus brief to both courts. Amazon, eBay, Google, Facebook, Netflix, and Uber are among the companies urging federal judges to rule against the executive order, detailing why it is unjust and how it would hurt their businesses.

While the 40-page brief is filled with arguments in support of immigration, it hardly speaks about refugees, except to note that those seeking protection should be welcomed. Any multinational company with a diverse workforce would be concerned about limits to international hiring and employee travel. But tech companies should also be concerned about the refugee populations that depend on their digital services for safety and survival.

In researching migration and the refugee crisis in Europe, my team and I interviewed over 140 refugees from Syria, and I’ve learned that technology has been crucial to those fleeing war and violence across the Middle East and North Africa. Services like Google Maps, Facebook, WhatsApp, Skype, and Western Union have helped refugees find missing loved ones or locate safe places to sleep. Mobile phones have been essential — refugees have even used them on sinking boats to call rescue officials patrolling the Mediterranean.

Refugees’ reliance on these platforms demonstrates what tech companies often profess: that innovation can empower people to improve their lives and society. Tech companies did not intend for their tools to facilitate one of the largest mass movements of refugees in history, but they have a responsibility to look out for the safety and security of the vulnerable consumers using their products.

Some tech companies have intervened directly in the refugee crisis. Google has created apps to help refugees in Greece find medical facilities and other services; Facebook promised to provide free Wi-Fi in U.N. refugee camps. A day after President Trump issued the first travel ban, which initially suspended the U.S. Refugee Admissions Program, Airbnb announced it would provide free housing to refugees left stranded….

The sector should extend these efforts by making sure its technologies aren’t used to target broad groups of people based on nationality or religion. Already the U.S. Customs and Border Protection (CPB) is asking for the social media accounts — even passwords — of visitors from other counties. The Council on American-Islamic Relations has filed complaints against the CPB, stating that Muslim American citizens have been subjected to enhanced screening that includes scrutiny of their social media accounts and cell phones.

Trump has talked about creating a database to identify and register Muslims in America, including refugees. A number of companies, including IBM, Microsoft, and Salesforce, have stated they will not help build a Muslim registry if asked by the government. In addition, a group of nearly 3,000 American tech employees signed an online pledge promising they would not develop data processing systems to help the U.S. government target individuals based on race, religion, or national origin….(More)”.

Updated N.Y.P.D. Anti-Crime System to Ask: ‘How We Doing?’

Curated on Posted on by Stefaan Verhulst

Al Baker in the New York Times: “It was a policing invention with a futuristic sounding name — CompStat — when the New York Police Department introduced it as a management system for fighting crime in an era of much higher violence in the 1990s. Police departments around the country, and the world, adapted its system of mapping muggings, robberies and other crimes; measuring police activity; and holding local commanders accountable.

Now, a quarter-century later, it is getting a broad reimagining and being brought into the mobile age. Moving away from simple stats and figures, CompStat is getting touchy-feely. It’s going to ask New Yorkers — via thousands of questions on their phones — “How are you feeling?” and “How are we, the police, doing?”

Whether this new approach will be mimicked elsewhere is still unknown, but as is the case with almost all new tactics in the N.Y.P.D. — the largest municipal police force in the United States by far — it will be closely watched. Nor is it clear if New Yorkers will embrace this approach, reject it as intrusive or simply be annoyed by it.

The system, using location technology, sends out short sets of questions to smartphones along three themes: Do you feel safe in your neighborhood? Do you trust the police? Are you confident in the New York Police Department?

The questions stream out every day, around the clock, on 50,000 different smartphone applications and present themselves on screens as eight-second surveys.

The department believes it will get a more diverse measure of community satisfaction, and allow it to further drive down crime. For now, Police Commissioner James P. O’Neill is calling the tool a “sentiment meter,” though he is open to suggestions for a better name….(More)”.

Why big-data analysis of police activity is inherently biased

Curated on Posted on by Stefaan Verhulst

 and  in The Conversation: “In early 2017, Chicago Mayor Rahm Emanuel announced a new initiative in the city’s ongoing battle with violent crime. The most common solutions to this sort of problem involve hiring more police officers or working more closely with community members. But Emanuel declared that the Chicago Police Department would expand its use of software, enabling what is called “predictive policing,” particularly in neighborhoods on the city’s south side.

The Chicago police will use data and computer analysis to identify neighborhoods that are more likely to experience violent crime, assigning additional police patrols in those areas. In addition, the software will identify individual people who are expected to become – but have yet to be – victims or perpetrators of violent crimes. Officers may even be assigned to visit those people to warn them against committing a violent crime.

Any attempt to curb the alarming rate of homicides in Chicago is laudable. But the city’s new effort seems to ignore evidence, including recent research from members of our policing study team at the Human Rights Data Analysis Group, that predictive policing tools reinforce, rather than reimagine, existing police practices. Their expanded use could lead to further targeting of communities or people of color.

Working with available data

At its core, any predictive model or algorithm is a combination of data and a statistical process that seeks to identify patterns in the numbers. This can include looking at police data in hopes of learning about crime trends or recidivism. But a useful outcome depends not only on good mathematical analysis: It also needs good data. That’s where predictive policing often falls short.

Machine-learning algorithms learn to make predictions by analyzing patterns in an initial training data set and then look for similar patterns in new data as they come in. If they learn the wrong signals from the data, the subsequent analysis will be lacking.

This happened with a Google initiative called “Flu Trends,” which was launched in 2008 in hopes of using information about people’s online searches to spot disease outbreaks. Google’s systems would monitor users’ searches and identify locations where many people were researching various flu symptoms. In those places, the program would alert public health authorities that more people were about to come down with the flu.

But the project failed to account for the potential for periodic changes in Google’s own search algorithm. In an early 2012 update, Google modified its search tool to suggest a diagnosis when users searched for terms like “cough” or “fever.” On its own, this change increased the number of searches for flu-related terms. But Google Flu Trends interpreted the data as predicting a flu outbreak twice as big as federal public health officials expected and far larger than what actually happened.

Criminal justice data are biased

The failure of the Google Flu Trends system was a result of one kind of flawed data – information biased by factors other than what was being measured. It’s much harder to identify bias in criminal justice prediction models. In part, this is because police data aren’t collected uniformly, and in part it’s because what data police track reflect longstanding institutional biases along income, race and gender lines….(More)”.

Scientists crowdsource autism data to learn where resource gaps exist

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SCOPE: “How common is autism? Since 2000, the U.S. Centers for Disease Control and Prevention has revised its estimate several times, with the numbers ticking steadily upward. But the most recent figure of 1 in 68 kids affected is based on data from only 11 states. It gives no indication of where people with autism live around the country nor whether their communities have the resources to treat them.
That’s a knowledge gap Stanford biomedical data scientist Dennis Wall, PhD, wants to fill — not just in the United States but also around the world. A new paper, published online in JMIR Public Health & Surveillance, explains how Wall and his team created GapMap, an interactive website designed to crowdsource the missing autism data. They’re now inviting people and families affected by autism to contribute to the database….
The pilot phase of the research, which is described in the new paper, estimated that the average distance from an individual in the U.S. to the nearest autism diagnostic center is 50 miles, while those with an autism diagnosis live an average of 20 miles from the nearest diagnostic center. The researchers think this may reflect lower rates of diagnosis among people in rural areas….Data submitted to GapMap will be stored in a secure, HIPAA-compliant database. In addition to showing where more autism treatment resources are needed, the researchers hope the project will help build communities of families affected by autism and will inform them of treatment options nearby. Families will also have the option of participating in future autism research, and the scientists plan to add more features, including the locations of environmental factors such as local pollution, to understand if they contribute to autism…(More)”