Paper by Ben Berkowitz and Jean-Paul Gagnon in Democratic Theory: “SeeClickFix began in 2009 when founder and present CEO Ben Berkowitz spotted a piece of graffiti in his New Haven, Connecticut, neighborhood. After calling numerous departments at city hall in a bid to have the graffiti removed, Berkowitz felt no closer to fixing the problem. Confused and frustrated, his emotions resonated with what many citizens in real- existing democracies feel today (Manning 2015): we see problems in public and want to fix them but can’t. This all too habitual inability for “common people” to fix problems they have to live with on a day-to-day basis is a prelude to the irascible citizen (White 2012), which, according to certain scholars (e.g., Dean 1960; Lee 2009), is itself a prelude to political apathy and a citizen’s alienation from specific political institutions….(More)”
Open data and the war on hunger – a challenge to be met
Diginomica: “Although the private sector is seen as the villain of the piece in some quarters, it actually has a substantial role to play in helping solve the problem of world hunger.
This is the view of Andre Laperriere, executive director of the Global Open Data for Agriculture and Nutrition (Godan) initiative, …
Laperriere himself heads up Godan’s small secretariat of five full-time equivalent employees who are based in Oxfordshire in the UK. The goal of the organisation, which currently has 511 members, is to encourage governmental, non-governmental (NGO) and private sector organisations to share open data about agriculture and nutrition. The idea is to make such information more available, accessible and usable in order to help tackle world food security in the face of mounting threats such as climate change.
But to do so, it is necessary to bring the three key actors originally identified by James Wolfensohn, former president of the World Bank, into play, believes Laperriere. He explains:
You have states, which generate and possess much of the data. There are citizens with lots of specific needs for which the data can be used, and there’s the private sector in between. It’s in the best position to exploit the data and use it to develop products that help meet the needs of the population. So the private sector is the motor of development and has a big role to play.
This is not least because NGOs, cooperatives and civil societies of all kinds often simply do not have the resources or technical knowledge to either find or deal with the massive quantities of open data that is released. Laperriere explains:
It’s a moral dilemma for a lot of research organisations. If, for example, they release 8,000 data sets about every kind of cattle disease, they’re doing so for the benefit of small farmers. But the only ones that can often do anything with it are the big companies as they have the appropriate skills. So the goal is the little guy rather than the big companies, but the alternative is not to release anything at all.
But for private sector businesses to truly get the most out of this open data as it is made available, Laperriere advocates getting together to create so-called pre-competition spaces. These spaces involve competitors collaborating in the early stages of commercial product development to solve common problems. To illustrate how such activity works, Laperriere cites his own past experience when working for a lighting company:
We were pushing fluorescent rather than incandescent lighting, but it contains mercury which pollutes, although it has a lower carbon footprint. It was also a lot more expensive. But we sat down together with the other manufacturers and shared our data to fix the problem together, which meant that everyone benefited by reducing the cost, the mercury pollution and the amount of energy consumed.
Next revolution
While Laperriere understands the fear of many organisations in potentially making themselves vulnerable to competition by disclosing their data, in reality, he attests, “it not the case”. Instead he points out:
If you release data in the right way to stimulate collaboration, it is positive economically and benefits both consumers and companies too as it helps reduce their costs and minimise other problems.
Due to growing amounts of government legislation and policies that require processed food manufacturers around the world to disclose product ingredients, he is, in fact, seeing rising interest in the approach not only among the manufacturers themselves but also among packaging and food preservation companies. The fact that agriculture and nutrition is a vast, complex area does mean there is still a long way to go, however….(More)”
Artificial intelligence prevails at predicting Supreme Court decisions
Matthew Hutson at Science: “See you in the Supreme Court!” President Donald Trump tweeted last week, responding to lower court holds on his national security policies. But is taking cases all the way to the highest court in the land a good idea? Artificial intelligence may soon have the answer. A new study shows that computers can do a better job than legal scholars at predicting Supreme Court decisions, even with less information.
Several other studies have guessed at justices’ behavior with algorithms. A 2011 project, for example, used the votes of any eight justices from 1953 to 2004 to predict the vote of the ninth in those same cases, with 83% accuracy. A 2004 paper tried seeing into the future, by using decisions from the nine justices who’d been on the court since 1994 to predict the outcomes of cases in the 2002 term. That method had an accuracy of 75%.
The new study draws on a much richer set of data to predict the behavior of any set of justices at any time. Researchers used the Supreme Court Database, which contains information on cases dating back to 1791, to build a general algorithm for predicting any justice’s vote at any time. They drew on 16 features of each vote, including the justice, the term, the issue, and the court of origin. Researchers also added other factors, such as whether oral arguments were heard….
From 1816 until 2015, the algorithm correctly predicted 70.2% of the court’s 28,000 decisions and 71.9% of the justices’ 240,000 votes, the authors report in PLOS ONE. That bests the popular betting strategy of “always guess reverse,” which has been the case in 63% of Supreme Court cases over the last 35 terms. It’s also better than another strategy that uses rulings from the previous 10 years to automatically go with a “reverse” or an “affirm” prediction. Even knowledgeable legal experts are only about 66% accurate at predicting cases, the 2004 study found. “Every time we’ve kept score, it hasn’t been a terribly pretty picture for humans,” says the study’s lead author, Daniel Katz, a law professor at Illinois Institute of Technology in Chicago…..Outside the lab, bankers and lawyers might put the new algorithm to practical use. Investors could bet on companies that might benefit from a likely ruling. And appellants could decide whether to take a case to the Supreme Court based on their chances of winning. “The lawyers who typically argue these cases are not exactly bargain basement priced,” Katz says….(More)”.
Minecraft in urban planning: how digital natives are shaking up governments
Rebecca Hill in The Guardian: “When we think of governments and technology, the image that springs to mind is more likely to be clunky computers and red tape than it is nimble innovators.
But things are changing. The geeks in jeans are making their way into government and starting to shake things up.
New ideas are changing the way governments use technology – whether that’s the UK’s intelligence organisation GCHQ finding a secure way to use the instant messenger Slack or senior mandarins trumpeting the possibilities of big data.
Governments are also waking up to the idea that the public are not only users, but also a powerful resource – and that engaging them online is easier than ever before. “People get very excited about using technology to make a real impact in the world,” says Chris Lintott, the co-founder of Zooniverse, a platform that organisations can use to develop their own citizen science projects for everything from analysing planets to spotting penguins.
For one of these projects, Old Weather, Zooniverse is working with the UK Met Office to gather historic weather data from ancient ships’ logs. At the same time, people helping to discover the human stories of life at sea. “Volunteers noticed that one admiral kept turning up on ship after ship after ship,” says Lintott. “It turned out he was the guy responsible for awarding medals!”
The National Archives in the US has similarly been harnessing the power of people’s curiosity by asking them to transcribe and digitise, handwritten documents through its Citizen Archivist project….
The idea for the Järviwiki, which asks citizens to log observations about Finland’s tens of thousands of lakes via a wiki service, came to Lindholm one morning on the way into work….
The increase in the number of digital natives in governments not only brings in different skills, it also enthuses the rest of the workforce, and opens their eyes to more unusual ideas.
Take Block by Block, which uses the game Minecraft to help young people show city planners how urban spaces could work better for them.
A decade ago it would have been hard to imagine a UN agency encouraging local governments to use a game to re-design their cities. Now UN-Habitat, which works with governments to promote more sustainable urban environments, is doing just that….
In Singapore, meanwhile – a country with densely populated cities and high volumes of traffic – the government is using tech to do more than manage information. It has created an app, MyResponder, that alerts a network of more than 10,000 medically trained volunteers to anyone who has a heart attack nearby, sometimes getting someone to the scene faster than the ambulance can get through the traffic.
The government is now piloting an expansion of the project by kitting out taxis with defibrillators and giving drivers first aid training, then linking them up to the app.
It’s examples like these, where governments use technology to bring communities together, that demonstrates the benefit of embracing innovation. The people making it happen are not only improving services for citizens – their quirky ideas are breathing new life into archaic systems…(More)“
NYC’s New Tech to Track Every Homeless Person in the City
Wired: “New York is facing a crisis. The city that never sleeps has become the city with the most people who have no home to sleep in. As rising rents outpace income growth across the five boroughs, some 62,000 people, nearly 40 percent of them children, live in homeless shelters—rates the city hasn’t seen since the Great Depression.
As New York City Mayor Bill de Blasio faces reelection in November, his reputation and electoral prospects depend in part on his ability to reverse this troubling trend. In the mayor’s estimation, combatting homelessness effectively will require opening 90 new shelters across the city and expanding the number of outreach workers who canvass the streets every day offering aid and housing. The effort will also require having the technology in place to ensure that work happens as efficiently as possible. To that end, the city is rolling out a new tool, StreetSmart, aims to give city agencies and non-profit groups a comprehensive view of all of the data being collected on New York’s homeless on a daily basis.
Think of StreetSmart as a customer relationship management system for the homeless. Every day in New York, some 400 outreach workers walk the streets checking in on homeless people and collecting information about their health, income, demographics, and history in the shelter system, among other data points. The workers get to know this vulnerable population and build trust in the hope of one day placing them in some type of housing.
Traditionally, outreach workers have entered information about every encounter into a database, keeping running case files. But those databases never talked to each other. One outreach worker in the Bronx might never know she was talking to the same person who’d checked into a Brooklyn shelter a week prior. More importantly, the worker might never know why that person left. What’s more, systems used by city agencies and non-profits seldom overlapped, complicating efforts to keep track of individuals….
The big promise of StreetSmart extends beyond its ability to help outreach workers in the moment. The aggregation of all this information could also help the city proactively design fixes to problems it wouldn’t have otherwise seen. The tool has a map feature that shows where encampments are popping up and where outreach workers are having the most interactions. It can also be used to assess how effective different housing facilities are at keeping people off the streets….(More)”.
The Nudge Wars: A Glimpse into the Modern Socialist Calculation Debate
Paper by Abigail Devereaux: “Nudge theory, the preferences-neutral subset of modern behavioral economic policy, is premised on irrational decision-making at the level of the individual agent. We demonstrate how Hayek’s epistemological argument, developed primarily during the socialist calculation debate in response to claims made by fellow economists in favor of central planning, can be extended to show how nudge theory requires social architects to have access to fundamentally unascertainable implicit and local knowledge. We draw parallels between the socialist calculation debate and nudge theoretical arguments throughout, particularly the “libertarian socialism” of H. D. Dickinson and the “libertarian paternalism” of Cass Sunstein and Richard Thaler. We discuss the theory of creative and computable economics in order to demonstrate how nudges are provably not preferences-neutral, as even in a state of theoretically perfect information about current preferences, policy-makers cannot access information about how preferences may change in the future. We conclude by noting that making it cheaper to engage in some methods of decision-making is analogous to subsidizing some goods. Therefore, the practical consequences of implementing nudge theory could erode the ability of individuals to make good decisions by destroying the kinds of knowledge-encoding institutions that endogenously emerge to assist agent decision-making….(More)”
Beyond Networks – Interlocutory Coalitions, the European and Global Legal Orders
Book by Gianluca Sgueo: “….explores the activism promoted by organised networks of civil society actors in opening up possibilities for more democratic supranational governance. It examines the positive and negative impact that such networks of civil society actors – named “interlocutory coalitions” – may have on the convergence of principles of administrative governance across the European legal system and other supranational legal systems.
The book takes two main controversial aspects into account: the first relates to the convergence between administrative rules pertaining to different supranational regulatory systems. Traditionally, the spread of methods of administrative governance has been depicted primarily against the background of the interactions between the domestic and the supranational arena, both from a top-down and bottom-up perspective. However, the exploration of interactions occurring at the supranational level between legal regimes is still not grounded on adequate empirical evidence. The second controversial aspect considered in this book consists of the role of civil society actors operating at the supranational level. In its discussion of the first aspect, the book focuses on the relations between the European administrative law and the administrative principles of law pertaining to other supranational regulatory regimes and regulators, including the World Bank, the International Monetary Fund, the World Trade Organization, the United Nations, the Organization for Economic Cooperation and Development, the Asian Development Bank, and the Council of Europe. The examination of the second aspect involves the exploration of the still little examined, but crucial, role of civil society organised networks in shaping global administrative law. These “interlocutory coalitions” include NGOs, think tanks, foundations, universities, and occasionally activists with no formal connections to civil society organisations. The book describes such interlocutory coalitions as drivers of harmonized principles of participatory democracy at the European and global levels. However, interlocutory coalitions show a number of tensions (e.g. the governability of coalitions, the competition among them) that may hamper the impact they have on the reconfiguration of individuals’ rights, entitlements and responsibilities in the global arena….(More)’
Big Data Science: Opportunities and Challenges to Address Minority Health and Health Disparities in the 21st Century
Xinzhi Zhang et al in Ethnicity and Disease: “Addressing minority health and health disparities has been a missing piece of the puzzle in Big Data science. This article focuses on three priority opportunities that Big Data science may offer to the reduction of health and health care disparities. One opportunity is to incorporate standardized information on demographic and social determinants in electronic health records in order to target ways to improve quality of care for the most disadvantaged populations over time. A second opportunity is to enhance public health surveillance by linking geographical variables and social determinants of health for geographically defined populations to clinical data and health outcomes. Third and most importantly, Big Data science may lead to a better understanding of the etiology of health disparities and understanding of minority health in order to guide intervention development. However, the promise of Big Data needs to be considered in light of significant challenges that threaten to widen health disparities. Care must be taken to incorporate diverse populations to realize the potential benefits. Specific recommendations include investing in data collection on small sample populations, building a diverse workforce pipeline for data science, actively seeking to reduce digital divides, developing novel ways to assure digital data privacy for small populations, and promoting widespread data sharing to benefit under-resourced minority-serving institutions and minority researchers. With deliberate efforts, Big Data presents a dramatic opportunity for reducing health disparities but without active engagement, it risks further widening them….(More)”
Twitter and Tear Gas: The Power and Fragility of Networked Protest
Book by Zeynep Tufekci: “A firsthand account and incisive analysis of modern protest, revealing internet-fueled social movements’ greatest strengths and frequent challenges….
To understand a thwarted Turkish coup, an anti–Wall Street encampment, and a packed Tahrir Square, we must first comprehend the power and the weaknesses of using new technologies to mobilize large numbers of people. An incisive observer, writer, and participant in today’s social movements, Zeynep Tufekci explains in this accessible and compelling book the nuanced trajectories of modern protests—how they form, how they operate differently from past protests, and why they have difficulty persisting in their long-term quests for change.
Tufekci speaks from direct experience, combining on-the-ground interviews with insightful analysis. She describes how the internet helped the Zapatista uprisings in Mexico, the necessity of remote Twitter users to organize medical supplies during Arab Spring, the refusal to use bullhorns in the Occupy Movement that started in New York, and the empowering effect of tear gas in Istanbul’s Gezi Park. These details from life inside social movements complete a moving investigation of authority, technology, and culture—and offer essential insights into the future of governance….(More)”
Using big data to understand consumer behaviour on ethical issues
Phani Kumar Chintakayala and C. William Young in the Journal of Consumer Ethics: “The Consumer Data Research Centre (CDRC) was established by the UK Economic and Social Research Council and launched its data services in 2015. Te project is led by the University of Leeds and UCL, with partners at the Universities of Liverpool and Oxford. It is working with consumer-related organisations and businesses to open up their data resources to trusted researchers, enabling them to carry out important social and economic research….
Over the last few years there has been much talk about how so-called “big data” is the future and if you are not exploiting it, you are losing your competitive advantage. So what is there in the latest wave of enthusiasm on big data to help organisations, researchers and ethical consumers?…
Examples of the types of research being piloted using data from the food sector by CDRC include the consumption of milk and egg products. Te results clearly indicate that not all the sustainable products are considered the same by consumers, and consumption behaviour varies across sustainable product categories. i) A linked data analysis was carried out by combining sales data of organic milk and free range eggs from a retailer with over 300 stores across the UK, green and ethical atitude data from CDRC’s data partner, and socio-demographic and deprivation data from open sources. Te analysis revealed that, in general, the consumers with deeper green and ethical atitudes are the most likely consumers of sustainable products. Deprivation has a negative efect on the consumption of sustainable products. Price, as expected, has a negative efect but the impact varies across products. Convenience stores have signifcant negative efect on the consumption of sustainable products. Te infuences of socio-demographic characteristics such as gender, age, ethnicity etc. seem to vary by product categories….
Big data can help organisations, researchers and ethical consumers understand the ethics around consumer behaviour and products. Te opportunities to link diferent types of data is exciting but must be research-question-led to avoid digging for non-existent causal links. Te methods and access to data is still a barrier but open access is key to solving this. Big data will probably only help in flling in the details of our knowledge on ethical consumption and on products, but this can only help our decision making…(More)”.