A Research Roadmap to Advance Data Collaboratives Practice as a Novel Research Direction


Iryna Susha, Theresa A. Pardo, Marijn Janssen, Natalia Adler, Stefaan G. Verhulst and Todd Harbour in the  International Journal of Electronic Government Research (IJEGR): “An increasing number of initiatives have emerged around the world to help facilitate data sharing and collaborations to leverage different sources of data to address societal problems. They are called “data collaboratives”. Data collaboratives are seen as a novel way to match real life problems with relevant expertise and data from across the sectors. Despite its significance and growing experimentation by practitioners, there has been limited research in this field. In this article, the authors report on the outcomes of a panel discussing critical issues facing data collaboratives and develop a research and development agenda. The panel included participants from the government, academics, and practitioners and was held in June 2017 during the 18th International Conference on Digital Government Research at City University of New York (Staten Island, New York, USA). The article begins by discussing the concept of data collaboratives. Then the authors formulate research questions and topics for the research roadmap based on the panel discussions. The research roadmap poses questions across nine different topics: conceptualizing data collaboratives, value of data, matching data to problems, impact analysis, incentives, capabilities, governance, data management, and interoperability. Finally, the authors discuss how digital government research can contribute to answering some of the identified research questions….(More)”. See also: http://datacollaboratives.org/

Firm Led by Google Veterans Uses A.I. to ‘Nudge’ Workers Toward Happiness


Daisuke Wakabayashi in the New York Times: “Technology companies like to promote artificial intelligence’s potential for solving some of the world’s toughest problems, like reducing automobile deaths and helping doctors diagnose diseases. A company started by three former Google employees is pitching A.I. as the answer to a more common problem: being happier at work.

The start-up, Humu, is based in Google’s hometown, and it builds on some of the so-called people-analytics programs pioneered by the internet giant, which has studied things like the traits that define great managers and how to foster better teamwork.

Humu wants to bring similar data-driven insights to other companies. It digs through employee surveys using artificial intelligence to identify one or two behavioral changes that are likely to make the biggest impact on elevating a work force’s happiness. Then it uses emails and text messages to “nudge” individual employees into small actions that advance the larger goal.

At a company where workers feel that the way decisions are made is opaque, Humu might nudge a manager before a meeting to ask the members of her team for input and to be prepared to change her mind. Humu might ask a different employee to come up with questions involving her team that she would like to have answered.

At the heart of Humu’s efforts is the company’s “nudge engine” (yes, it’s trademarked). It is based on the economist Richard Thaler’s Nobel Prize-winning research into how people often make decisions because of what is easier rather than what is in their best interest, and how a well-timed nudge can prompt them to make better choices.

Google has used this approach to coax employees into the corporate equivalent of eating their vegetables, prodding them to save more for retirement, waste less food at the cafeteria and opt for healthier snacks….

But will workers consider the nudges useful or manipulative?

Todd Haugh, an assistant professor of business law and ethics at Indiana University’s Kelley School of Business, said nudges could push workers into behaving in ways that benefited their employers’ interests over their own.

“The companies are the only ones who know what the purpose of the nudge is,” Professor Haugh said. “The individual who is designing the nudge is the one whose interests are going to be put in the forefront.”…(More)”.


Google Searches Could Predict Heroin Overdoses


Rod McCullom at Scientific American: “About 115 people nationwide die every day from opioid overdoses, according to the U.S. Centers for Disease Control and Prevention. A lack of timely, granular data exacerbates the crisis; one study showed opioid deaths were undercounted by as many as 70,000 between 1999 and 2015, making it difficult for governments to respond. But now Internet searches have emerged as a data source to predict overdose clusters in cities or even specific neighborhoods—information that could aid local interventions that save lives. 

The working hypothesis was that some people searching for information on heroin and other opioids might overdose in the near future. To test this, a researcher at the University of California Institute for Prediction Technology (UCIPT) and his colleagues developed several statistical models to forecast overdoses based on opioid-related keywords, metropolitan income inequality and total number of emergency room visits. They discovered regional differences (graphic) in where and how people searched for such information and found that more overdoses were associated with a greater number of searches per keyword. The best-fitting model, the researchers say, explained about 72 percent of the relation between the most popular search terms and heroin-related E.R. visits. The authors say their study, published in the September issue of Drug and Alcohol Dependence, is the first report of using Google searches in this way. 

To develop their models, the researchers obtained search data for 12 prescription and nonprescription opioids between 2005 and 2011 in nine U.S. metropolitan areas. They compared these with Substance Abuse and Mental Health Services Administration records of heroin-related E.R. admissions during the same period. The models can be modified to predict overdoses of other opioids or narrow searches to specific zip codes, says lead study author Sean D. Young, a behavioral psychologist and UCIPT executive director. That could provide early warnings of overdose clusters and help to decide where to distribute the overdose reversal medication Naloxone….(More)”.

Democracy and Digital Technology


Article by Ted Piccone in the International Journal on Human Rights: “Democratic governments are facing unique challenges in maximising the upside of digital technology while minimizing its threats to their more open societies. Protecting fair elections, fundamental rights online, and multi-stakeholder approaches to internet governance are three interrelated priorities central to defending strong democracies in an era of rising insecurity, increasing restrictions, and geopolitical competition.

The growing challenges democracies face in managing the complex dimensions of digital technology have become a defining domestic and foreign policy issue with direct implications for human rights and the democratic health of nations. The progressive digitisation of nearly all facets of society and the inherent trans-border nature of the internet raise a host of difficult problems when public and private information online is subject to manipulation, hacking, and theft.

This article addresses digital technology as it relates to three distinct but interrelated subtopics: free and fair elections, human rights, and internet governance. In all three areas, governments and the private sector are struggling to keep up with the positive and negative aspects of the rapid diffusion of digital technology. To address these challenges, democratic governments and legislators, in partnership with civil society and media and technology companies, should urgently lead the way toward devising and implementing rules and best practices for protecting free and fair electoral processes from external manipulation, defending human rights online, and protecting internet governance from restrictive, lowest common denominator approaches. The article concludes by setting out what some of these rules and best practices should be…(More)”.

Selling Smartness: Corporate Narratives and the Smart City as a Sociotechnical Imaginary


Jathan Sadowski and Roy Bendor in Science, Technology and Human Values: “This article argues for engaging with the smart city as a sociotechnical imaginary. By conducting a close reading of primary source material produced by the companies IBM and Cisco over a decade of work on smart urbanism, we argue that the smart city imaginary is premised in a particular narrative about urban crises and technological salvation. This narrative serves three main purposes: (1) it fits different ideas and initiatives into a coherent view of smart urbanism, (2) it sells and disseminates this version of smartness, and (3) it crowds out alternative visions and corresponding arrangements of smart urbanism.

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)”.

Why Taking a Step Back From Social Impact Assessment Can Lead to Better Results


Article by By Anita Fuzi, Lidia Gryszkiewicz, & Dariusz Sikora: “Over the years, many social sector leaders have written about the difficulties of measuring social impact. Over the past few decades, they’ve called for more skilled analysts, the embedding of impact measurement in the broader investment process, and the development of impact measurement roadmaps. Yet measurement remains a constant challenge for the sector.

For once, let’s take a step back instead of looking further forward.

Impact assessments are important tools for learning about effective solutions to social challenges, but do they really make sense when an organization is not fully leveraging its potential to address those challenges and deliver positive impact in the first place? Should well-done impact assessment remain the holy grail, or should we focus on organizations’ ability to deliver impact? We believe that before diving into measurement, organizations must establish awareness of and readiness for impact in every aspect of their operations. In other words, they need to assess their social impact capability system before they can even attempt to measure any impact they have generated. We call this the “capability approach to social impact,” and it rests on an evaluation of seven different organizational areas….

The Social Impact Capability Framework

When organizations do not have the right support system and resources in place to create positive social impact, it is unlikely that actual attempts at impact assessment will succeed. For example, measuring an organization’s impact on the local community will not bear much fruit if the organization’s strategy, mission, vision, processes, resources, and values are not designed to support local community involvement in the first place. It is better to focus on assessing impact readiness level—whether an organization is capable of delivering the impact it wishes to deliver—rather than jumping into the impact assessment itself.Examining these seven capability areas can help organizations determine their readiness for creating impact.

To help assess this, we created a diagnostic tool— based on extensive literature review and our advisory experience—that evaluates seven capability areas: strategic framework, process, culture and leadership, structure and system, resources, innovation, and the external environment. Organizations rate each area on a scale from one to five, with one being very low/not important and five being very high/essential. Ideally, representatives from all departments complete the assessment collectively to ensure that everyone is on the same page….(More)”.

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems


Peter Andras et al in IEEE Technology and Society Magazine: “Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind’s Alpha Go Zero) are an impressive example of an artificial intelligence system calculating results that even a human expert for the game can hardly retrace. But this is, quite literally, a toy example. In reality, intelligent algorithms are encroaching more and more into our everyday lives, be it through algorithms that recommend products for us to buy, or whole systems such as driverless vehicles. We are delegating ever more aspects of our daily routines to machines, and this trend looks set to continue in the future. Indeed, continued economic growth is set to depend on it. The nature of human-computer interaction in the world that the digital transformation is creating will require (mutual) trust between humans and intelligent, or seemingly intelligent, machines. But what does it mean to trust an intelligent machine? How can trust be established between human societies and intelligent machines?…(More)”.

We Need an FDA For Algorithms


Interview with Hannah Fry on the promise and danger of an AI world by Michael Segal:”…Why do we need an FDA for algorithms?

It used to be the case that you could just put any old colored liquid in a glass bottle and sell it as medicine and make an absolute fortune. And then not worry about whether or not it’s poisonous. We stopped that from happening because, well, for starters it’s kind of morally repugnant. But also, it harms people. We’re in that position right now with data and algorithms. You can harvest any data that you want, on anybody. You can infer any data that you like, and you can use it to manipulate them in any way that you choose. And you can roll out an algorithm that genuinely makes massive differences to people’s lives, both good and bad, without any checks and balances. To me that seems completely bonkers. So I think we need something like the FDA for algorithms. A regulatory body that can protect the intellectual property of algorithms, but at the same time ensure that the benefits to society outweigh the harms.

Why is the regulation of medicine an appropriate comparison?

If you swallow a bottle of colored liquid and then you keel over the next day, then you know for sure it was poisonous. But there are much more subtle things in pharmaceuticals that require expert analysis to be able to weigh up the benefits and the harms. To study the chemical profile of these drugs that are being sold and make sure that they actually are doing what they say they’re doing. With algorithms it’s the same thing. You can’t expect the average person in the street to study Bayesian inference or be totally well read in random forests, and have the kind of computing prowess to look up a code and analyze whether it’s doing something fairly. That’s not realistic. Simultaneously, you can’t have some code of conduct that every data science person signs up to, and agrees that they won’t tread over some lines. It has to be a government, really, that does this. It has to be government that analyzes this stuff on our behalf and makes sure that it is doing what it says it does, and in a way that doesn’t end up harming people.

How did you come to write a book about algorithms?

Back in 2011 in London, we had these really bad riots in London. I’d been working on a project with the Metropolitan Police, trying mathematically to look at how these riots had spread and to use algorithms to ask how could the police have done better. I went to go and give a talk in Berlin about this paper we’d published about our work, and they completely tore me apart. They were asking questions like, “Hang on a second, you’re creating this algorithm that has the potential to be used to suppress peaceful demonstrations in the future. How can you morally justify the work that you’re doing?” I’m kind of ashamed to say that it just hadn’t occurred to me at that point in time. Ever since, I have really thought a lot about the point that they made. And started to notice around me that other researchers in the area weren’t necessarily treating the data that they were working with, and the algorithms that they were creating, with the ethical concern they really warranted. We have this imbalance where the people who are making algorithms aren’t talking to the people who are using them. And the people who are using them aren’t talking to the people who are having decisions made about their lives by them. I wanted to write something that united those three groups….(More)”.

Harnessing Digital Tools to Revitalize European Democracy


Article by Elisa Lironi: “…Information and communication technology (ICT) can be used to implement more participatory mechanisms and foster democratic processes. Often referred to as e-democracy, there is a large range of very different possibilities for online engagement, including e-initiatives, e-consultations, crowdsourcing, participatory budgeting, and e-voting. Many European countries have started exploring ICT’s potential to reach more citizens at a lower cost and to tap into the so-called wisdom of the crowd, as governments attempt to earn citizens’ trust and revitalize European democracy by developing more responsive, transparent, and participatory decisionmaking processes.

For instance, when Anne Hidalgo was elected mayor of Paris in May 2014, one of her priorities was to make the city more collaborative by allowing Parisians to propose policy and develop projects together. In order to build a stronger relationship with the citizens, she immediately started to implement a citywide participatory budgeting project for the whole of Paris, including all types of policy issues. It started as a small pilot, with the city of Paris putting forward fifteen projects that could be funded with up to about 20 million euros and letting citizens vote on which projects to invest in, via ballot box or online. Parisians and local authorities deemed this experiment successful, so Hidalgo decided it was worth taking further, with more ideas and a bigger pot of money. Within two years, the level of participation grew significantly—from 40,000 voters in 2014 to 92,809 in 2016, representing 5 percent of the total urban population. Today, Paris Budget Participatif is an official platform that lets Parisians decide how to spend 5 percent of the investment budget from 2014 to 2020, amounting to around 500 million euros. In addition, the mayor also introduced two e-democracy platforms—Paris Petitions, for e-petitions, and Idée Paris, for e-consultations. Citizens in the French capital now have multiple channels to express their opinions and contribute to the development of their city.

In Latvia, civil society has played a significant role in changing how legislative procedures are organized. ManaBalss (My Voice) is a grassroots NGO that creates tools for better civic participation in decisionmaking processes. Its online platform, ManaBalss.lv, is a public e-participation website that lets Latvian citizens propose, submit, and sign legislative initiatives to improve policies at both the national and municipal level. …

In Finland, the government itself introduced an element of direct democracy into the Finnish political system, through the 2012 Citizens’ Initiative Act (CI-Act) that allows citizens to submit initiatives to the parliament. …

Other civic tech NGOs across Europe have been developing and experimenting with a variety of digital tools to reinvigorate democracy. These include initiatives like Science For You (SCiFY) in Greece, Netwerk Democratie in the Netherlands, and the Citizens Foundation in Iceland, which got its start when citizens were asked to crowdsource their constitution in 2010.

Outside of civil society, several private tech companies are developing digital platforms for democratic participation, mainly at the local government level. One example is the Belgian start-up CitizenLab, an online participation platform that has been used by more than seventy-five municipalities around the world. The young founders of CitizenLab have used technology to innovate the democratic process by listening to what politicians need and including a variety of functions, such as crowdsourcing mechanisms, consultation processes, and participatory budgeting. Numerous other European civic tech companies have been working on similar concepts—Cap Collectif in France, Delib in the UK, and Discuto in Austria, to name just a few. Many of these digital tools have proven useful to elected local or national representatives….

While these initiatives are making a real impact on the quality of European democracy, most of the EU’s formal policy focus is on constraining the power of the tech giants rather than positively aiding digital participation….(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)”.