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)”.

Beyond the IRB: Towards a typology of research ethics in applied economics


Paper by Michler, Jeffrey D., Masters, William A. and Josephson, Anna: “Conversations about ethics often appeal to those responsible for the ethical behavior, encouraging adoption of “better,” more ethical conduct. In this paper, we consider an alternative frame: a typology of ethical misconduct, focusing on who are the victims of various types of unethical behavior. The typology is constructed around 1) who may be harmed and 2) by what mechanism an individual or party is harmed. Building a typology helps to identify times in the life cycle of a research idea where differences exist between who is potentially harmed and who the existing ethical norms protect.

We discuss ethical practices including IRB approvals, which focuses almost entirely on risks to subjects; pre-analysis plans and conflict of interest disclosures, which encourage transparency so as to not mislead editors, reviewers, and readers; and self-plagiarism, which has become increasing common as authors slice their research ever more thinly, causing congestion in journals at the expense of others….(More)”.

Blockchain helps refugees gain access to financial services


Springwise: “…Blockchain has also lead to huge steps forward in this sector, enabling greater transparency for consumers in the food industry. This latest innovation could also combine both worlds in using blockchain to take back control of personal data.

Gravity Earth seeks to provide equal access and opportunity to digital IDs, a growing necessity in the modern world. Digital identities allow access to key financial services, mobile communication, and other online benefits. At the moment, Gravity Earth estimates that around 1.5 billion people across the globe do not have an official proof of identity.

The Nairobi-based startup sought to change this by allowing anyone to create a secure, self-sovereign digital ID based on their personal data. The blockchain-based process can be done wherever you are and on any mobile device. Their solution allows currently disadvantaged people to store and share personal data with whoever they want. In so doing, it also allows users to build on existing traditional IDs, but does not depend on them.

The products is currently close to its first deployment at a refugee camp in Kakuma, Kenya. Gravity Earth will use it to track attendance at three refugee schools. In the future, the startup is also looking to work closely with more refugee-orientated NGOs…(More)”

See also: Field Report On the Emergent Use of Distributed Ledger Technologies for Identity Management

Innovation Contests: How to Engage Citizens in Solving Urban Problems?


Paper by Sarah Hartmann, Agnes Mainka and Wolfgang G. Stock: “Cities all over the world are challenged with problems evolving from increasing urbanity, population growth, and density. For example, one prominent issue that is addressed in many cities is mobility. To develop smart city solutions, governments are trying to introduce open innovation. They have started to open their governmental and city related data as well as awake the citizens’ awareness on urban problems through innovation contests. Citizens are the users of the city and therefore, have a practical motivation to engage in innovation contests as for example in hackathons and app competitions. The collaboration and co-creation of civic services by means of innovation contests is a cultural development of how governments and citizens work together in an open governmental environment. A qualitative analysis of innovation contests in 24 world cities reveals this global trend. In particular, such events increase the awareness of citizens and local businesses for identifying and solving urban challenges and are helpful means to transfer the smart city idea into practicable solutions….(More)”

Understanding Smart Cities: Innovation ecosystems, technological advancements, and societal challenges


Introduction of Special Issue of Technological Forecasting and Social Change by Francesco PaoloAppio, MarcosLima, and Sotirios Paroutis: “Smart Cities initiatives are spreading all around the globe at a phenomenal pace. Their bold ambition is to increase the competitiveness of local communities through innovation while increasing the quality of life for its citizens through better public services and a cleaner environment. Prior research has shown contrasting views and a multitude of dimensions and approaches to look at this phenomenon. In spite of the fact that this can stimulate the debate, it lacks a systematic assessment and an integrative view. The papers in the special issue on “Understanding Smart Cities: Innovation Ecosystems, Technological Advancements, and Societal Challenges” take stock of past work and provide new insights through the lenses of a hybrid framework. Moving from these premises, we offer an overview of the topic by featuring possible linkages and thematic clusters. Then, we sketch a novel research agenda for scholars, practitioners, and policy makers who wish to engage in – and build – a critical, constructive, and conducive discourse on Smart Cities….(More)”.

Congress passes ‘Open Government Data Act’ to make open data part of the US Code


Melisha Dsouza at Packt>: “22nd December marked a win for U.S. government in terms of efficiency, accountability, and transparency of open data. Following the Senate vote held on 19th December, Congress passed the Foundations for Evidence-Based Policymaking (FEBP) Act (H.R. 4174, S. 2046). Title II of this package is the Open, Public, Electronic and Necessary (OPEN) Government Data Act, which requires all non-sensitive government data to be made available in open and machine-readable formats by default.

The federal government possesses a huge amount of public data which should ideally be used to improve government services and promote private sector innovation. The open data proposal will mandate that federal agencies publish their information online, using machine-readable data formats.

Here are some of the key points that the Open Government Data Act seeks to do:

  • Define open data without locking in yesterday’s technology.
  • Create minimal standards for making federal government data available to the public.
  • Require the federal government to use open data for better decision making.
  • Ensure accountability by requiring regular oversight.
  • Establish and formalize Chief Data Officers (CDO) at federal agencies with data governance and implementation responsibilities.
  • Agencies need to maintain and publish a comprehensive data inventory of all data assets to help open data advocates identify key government information resources and transform them from documents and siloed databases into open data….(More)”.

For a more extensive discussion see: Congress votes to make open government data the default in the United States by Alex Howard.

The Datafication of Employment


Report by Sam Adler-Bell and Michelle Miller at the Century Foundation: “We live in a surveillance society. Our every preference, inquiry, whim, desire, relationship, and fear can be seen, recorded, and monetized by thousands of prying corporate eyes. Researchers and policymakers are only just beginning to map the contours of this new economy—and reckon with its implications for equity, democracy, freedom, power, and autonomy.

For consumers, the digital age presents a devil’s bargain: in exchange for basically unfettered access to our personal data, massive corporations like Amazon, Google, and Facebook give us unprecedented connectivity, convenience, personalization, and innovation. Scholars have exposed the dangers and illusions of this bargain: the corrosion of personal liberty, the accumulation of monopoly power, the threat of digital redlining,1 predatory ad-targeting,2 and the reification of class and racial stratification.3 But less well understood is the way data—its collection, aggregation, and use—is changing the balance of power in the workplace.

This report offers some preliminary research and observations on what we call the “datafication of employment.” Our thesis is that data-mining techniques innovated in the consumer realm have moved into the workplace. Firms who’ve made a fortune selling and speculating on data acquired from consumers in the digital economy are now increasingly doing the same with data generated by workers. Not only does this corporate surveillance enable a pernicious form of rent-seeking—in which companies generate huge profits by packaging and selling worker data in marketplace hidden from workers’ eyes—but also, it opens the door to an extreme informational asymmetry in the workplace that threatens to give employers nearly total control over every aspect of employment.

The report begins with an explanation of how a regime of ubiquitous consumer surveillance came about, and how it morphed into worker surveillance and the datafication of employment. The report then offers principles for action for policymakers and advocates seeking to respond to the harmful effects of this new surveillance economy. The final sections concludes with a look forward at where the surveillance economy is going, and how researchers, labor organizers, and privacy advocates should prepare for this changing landscape….(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)”.

It’s time for a Bill of Data Rights


Article by Martin Tisne: “…The proliferation of data in recent decades has led some reformers to a rallying cry: “You own your data!” Eric Posner of the University of Chicago, Eric Weyl of Microsoft Research, and virtual-reality guru Jaron Lanier, among others, argue that data should be treated as a possession. Mark Zuckerberg, the founder and head of Facebook, says so as well. Facebook now says that you “own all of the contact and information you post on Facebook” and “can control how it is shared.” The Financial Times argues that “a key part of the answer lies in giving consumers ownership of their own personal data.” In a recent speech, Tim Cook, Apple’s CEO, agreed, saying, “Companies should recognize that data belongs to users.”

This essay argues that “data ownership” is a flawed, counterproductive way of thinking about data. It not only does not fix existing problems; it creates new ones. Instead, we need a framework that gives people rights to stipulate how their data is used without requiring them to take ownership of it themselves….

The notion of “ownership” is appealing because it suggests giving you power and control over your data. But owning and “renting” out data is a bad analogy. Control over how particular bits of data are used is only one problem among many. The real questions are questions about how data shapes society and individuals. Rachel’s story will show us why data rights are important and how they might work to protect not just Rachel as an individual, but society as a whole.

Tomorrow never knows

To see why data ownership is a flawed concept, first think about this article you’re reading. The very act of opening it on an electronic device created data—an entry in your browser’s history, cookies the website sent to your browser, an entry in the website’s server log to record a visit from your IP address. It’s virtually impossible to do anything online—reading, shopping, or even just going somewhere with an internet-connected phone in your pocket—without leaving a “digital shadow” behind. These shadows cannot be owned—the way you own, say, a bicycle—any more than can the ephemeral patches of shade that follow you around on sunny days.

Your data on its own is not very useful to a marketer or an insurer. Analyzed in conjunction with similar data from thousands of other people, however, it feeds algorithms and bucketizes you (e.g., “heavy smoker with a drink habit” or “healthy runner, always on time”). If an algorithm is unfair—if, for example, it wrongly classifies you as a health risk because it was trained on a skewed data set or simply because you’re an outlier—then letting you “own” your data won’t make it fair. The only way to avoid being affected by the algorithm would be to never, ever give anyone access to your data. But even if you tried to hoard data that pertains to you, corporations and governments with access to large amounts of data about other people could use that data to make inferences about you. Data is not a neutral impression of reality. The creation and consumption of data reflects how power is distributed in society. …(More)”.