The impact of open access scientific knowledge


Jack Karsten and Darrell M. West at Brookings: “In spite of technological advancements like the Internet, academic publishing has operated in much the same way for centuries. Scientists voluntarily review their peers’ papers for little or no compensation; the paper’s author likewise does not receive payment from academic publishers. Though most of the costs of publishing a journal are administrative, the cost of subscribing to scientific journals nevertheless increased 600 percent between 1984 and 2002. The funding for the research libraries that form the bulk of journal subscribers has not kept pace, leading to campaigns at universities including Harvard to boycott for-profit publishers.

Though the Internet has not yet brought down the price of academic journal subscriptions, it has led to some interesting alternatives. In 2015, the Twitter hashtag #icanhazPDF was created to request copies of papers located behind paywalls. Anyone with access to a specific paper can download it and then e-mail it to the requester. The practice violates the copyright of publishers, but puts papers in reach of researchers who would otherwise not be able to read them. If a researcher cannot read a journal article in the first place, they cannot go on to cite it, which raises the profile of the cited article and the journal that published it. The publisher is caught between two conflicting goals: to increase the number of citations for their articles and earning revenue to stay in business.

Thinking outside the journal

A trio of University of Chicago researchers examines this issue through the lens of Wikipedia in a paper titled “Amplifying the Impact of Open Access: Wikipedia and the Diffusion of Science.” Wikipedia makes a compelling subject for scientific diffusion given its status as one of the most visited websites in the world, attracting 374 million unique visitors monthly as of September 2015. The study found that on English language articles, Wikipedia editors are 47 percent more likely to cite an article from an open access journal. Anyone using Wikipedia as a first source for information on a subject is more likely to read information from open source journals. If readers click through the links to cited articles, they can read the actual text of these open-source journal articles.

Given how much the federal government spends on scientific research ($66 billion on nondefense R&D in 2015), it has a large role to play in the diffusion of scientific knowledge. Since 2008, the National Institutes of Health (NIH) has required researchers who publish in academic journals to also publish in PubMed, an online open access journal. Expanding provisions like the NIH Public Access Policy to other agencies and to recipients of federal grants at universities would give the public and other researchers a wealth of scientific information. Scientific literacy, even on cutting-edge research, is increasingly important when science informs policy on major issues such as climate change and health care….(More)”

Systematic Thinking for Social Action


Re-issued book by Alice M. Rivlin: “In January 1970 Alice M. Rivlin spoke to an audience at the University of California–Berkeley. The topic was developing a more rational approach to decision-making in government. If digital video, YouTube, and TED Talks had been inventions of the 1960s, Rivlin’s talk would have been a viral hit. As it was, the resulting book, Systematic Thinking for Social Action, spent years on the Brookings Press bestseller list. It is a very personal and conversational volume about the dawn of new ways of thinking about government.

As a deputy assistant secretary for program coordination, and later as assistant secretary for planning and evaluation, at the Department of Health, Education and Welfare from 1966 to 1969, Rivlin was an early advocate of systems analysis, which had been introduced by  Robert McNamara at the Department of Defense as  PPBS (planning-programming-budgeting-system).

While Rivlin brushes aside the jargon, she digs into the substance of systematic analysis and a “quiet revolution in government.” In an evaluation of the evaluators, she issues mixed grades, pointing out where analysts had been helpful in finding solutions and where—because of inadequate data or methods—they had been no help at all.

Systematic Thinking for Social Action offers important insights for anyone interested in working to find the smartest ways to allocate scarce funds to promote the maximum well-being of all citizens.

This reissue is a Brookings Classics, a series of republished books for readers to revisit or discover previous, notable works by the Brookings Institution Press.

Chicago Is Predicting Food Safety Violations. Why Aren’t Other Cities?


Julian Spector at CityLab: “The three dozen inspectors at the Chicago Department of Public Health scrutinize 16,000 eating establishments to protect diners from gut-bombing food sickness. Some of those pose more of a health risk than others; approximately 15 percent of inspections catch a critical violation.

For years, Chicago, like most every city in the U.S., scheduled these inspections by going down the complete list of food vendors and making sure they all had a visit in the mandated timeframe. That process ensured that everyone got inspected, but not that the most likely health code violators got inspected first. And speed matters in this case. Every day that unsanitary vendors serve food is a new chance for diners to get violently ill, paying in time, pain, and medical expenses.

That’s why, in 2014, Chicago’s Department of Innovation and Technology started sifting through publicly available city data and built an algorithm to predict which restaurants were most likely to be in violation of health codes, based on the characteristics of previously recorded violations. The program generated a ranked list of which establishments the inspectors should look at first. The project is notable not just because it worked—the algorithm identified violations significantly earlier than business as usual did—but because the team made it as easy as possible for other cities to replicate the approach.

And yet, more than a year after Chicago published its code, only one local government, in metro D.C., has tried to do the same thing. All cities face the challenge of keeping their food safe and therefore have much to gain from this data program. The challenge, then, isn’t just to design data solutions that work, but to do so in a way that facilitates sharing them with other cities. The Chicago example reveals the obstacles that might prevent a good urban solution from spreading to other cities, but also how to overcome them….(More)”

The Future of Behavioural Change: Balancing Public Nudging vs Private Nudging


2nd AIM Lecture by Alberto Alemanno: “Public authorities, including the European Union and its Member States, are increasingly interested in exploiting behavioral insights through public action. They increasingly do so through choice architecture, i.e. the alteration of the environment of choice surrounding a particular decision making context in areas as diverse as energy consumption, tax collection and public health. In this regard, it is useful to distinguish between two situations. The first is that of a public authority which seeks to steer behaviour in the public interest, taking into account one or more mental shortcuts. Thus, a default enrollment for organ donation leverages on the power of inertia to enhance the overall prevalence organ donors. Placing an emoticon (sad face) or a set of information about average consumption on a prohibitive energy bill has the potential to nudge consumers towards less energy consumption. I call this pure public nudging. The second perspective is when public authorities react to exploitative uses of mental shortcuts by market forces by regulating private nudging. I call this ‘counter-nudging’. Pure public nudging helps people correct mental shortcuts so as to achieve legitimate objectives (e.g. increased availability of organs, environmental protection, etc.), regardless of their exploitative use by market forces.
It is against this proposed taxonomy that the 2nd AIM Lecture examines whether also private companies may nudge for good. Are corporations well-placed to nudge their customers towards societal objectives, such as the protection of the environment or the promotion of public health? This is what I call benign corporate nudging.
Their record is far from being the most credible. Companies have used behavioural inspired interventions to maximize profits, what led them to sell more and in turn to induce citizens into more consumption. Yet corporate marketing need not always be self-interested. An incipient number of companies are using their brand, generally through their packaging and marketing efforts, to ‘nudge for good’. By illustrating some actual examples, this lecture defines the conditions under which companies may genuinely and credibly nudge for good. It argues that benign corporate nudging may have – unlike dominant CSR efforts – a positive long-term, habit-forming effect that influences consumers’ future behaviour ‘for good’….(More)”

 

Open Prescribing


“Every month, the NHS in England publishes anonymised data about the drugs prescribed by GPs. But the raw data files are large and unwieldy, with more than 600 million rows. We’re making it easier for GPs, managers and everyone to explore – supporting safer, more efficient prescribing.

OpenPrescribing is one of a range of projects built by Ben Goldacre and Anna Powell-Smith at the EBM Data Lab to help make complex medical and scientific data more accessible and more impactful in the real world…..

Data sources

Please read our guide to using the data.

Prescribing data is from the monthly files published by the Health and Social Care Information Centre(HSCIC), used under the terms of the Open Government Licence.

Practice list sizes are from the NHS Business Service Authority’s Information Portal, used under the terms of the Open Government Licence. ASTRO-PU and STAR-PUs are calculated from list sizes, based on standard formulas.

BNF codes and names are also from the NHS Business Service Authority’s Information Portal, used under the terms of the Open Government Licence.

CCG to practice relations, and practice prescribing settings, are from the HSCIC’s data downloads(epraccur.csv), used under the terms of the Open Government Licence.

CCG names and codes and CCG geographic boundaries are from the Office for National Statistics, used under the terms of the Open Government Licence.

Practice locations are approximate, geocoded using OpenCageData. If you know a better source of practice locations (not including Code-Point Open), please get in touch!…(More)”

Predictive Analytics


Revised book by Eric Siegel: “Prediction is powered by the world’s most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.

Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.

In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction:

    • What type of mortgage risk Chase Bank predicted before the recession.
    • Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves.
    • Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights.
    • Five reasons why organizations predict death — including one health insurance company.
    • How U.S. Bank and Obama for America calculated — and Hillary for America 2016 plans to calculate — the way to most strongly persuade each individual.
    • Why the NSA wants all your data: machine learning supercomputers to fight terrorism.
    • How IBM’s Watson computer used predictive modeling to answer questions and beat the human champs on TV’s Jeopardy!
    • How companies ascertain untold, private truths — how Target figures out you’re pregnant and Hewlett-Packard deduces you’re about to quit your job.
    • How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison.
    • 183 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more….(More)”

 

‘Design thinking’ is changing the way we approach problems


Tim Johnson in University Affairs on “Why researchers in various disciplines are using the principles of design to solve problems big and small” : “A product of the same trends and philosophies that gave us smartphones, laptop computers and internet search engines, design thinking is changing the way some academics approach teaching and research, the way architects design classrooms and how leaders seek to solve the world’s most persistent problems.

Cameron Norman is a long-time supporter of design thinking (or DT) and an adjunct lecturer at the University of Toronto’s Dalla Lana School of Public Health. He notes that designers, especially product designers, are typically experts in conceptualizing problems and solving them– ideal skills for tackling a wide range of issues, from building a better kitchen table to mapping out the plans on a large building. “The field of design is the discipline of innovation,” he says. “[Design thinking] is about taking these methods, tools and ideas, and applying them in other areas.”

Design thinking centres on the free flow of ideas – far-out concepts aren’t summarily dismissed – and an unusually enthusiastic embrace of failure. “Design thinkers try to figure out what the key problem is – they look around and try to understand what’s going on, and come up with some wild ideas, thinking big and bold, on how to solve it,” Dr. Norman says. “They assume they’re not going to get it right the first time.”

If you were looking to build a better mousetrap, you’d prototype a model, test it for weaknesses, then either trash it and start again, or identify the problems and seek to correct them. DT does the same thing, but in an increasingly broad array of areas, from social policy to healthcare to business.

Deborah Shackleton, dean of design and dynamic media at Emily Carr University of Art + Design in Vancouver, was an early adopter of DT. “Design thinking is a mindset. You can use it as a tool or a technique. It’s very adaptable,” she says.

In 2005, ECUAD revamped much of its curriculum in design and dynamic media, looking to shift the focus from more traditional methods of research, like literature reviews, to something called “generative research.” “It’s the idea that you would invite the participants – for whom the design is intended – to be part of the creation process,” Dr. Shackleton says. She adds that various tools, like “co-creation kits” (which include a range of activities to engage people on a variety of cognitive and emotional levels) and ethnographic and cultural probes (activities which help participants demonstrate details about their private lives to their design partners), prove very useful in this area.

Collaboration among various fields is an important part of the design thinking process. At the University of Alberta, Aidan Rowe, an associate professor in design studies, is using design thinking to help the City of Edmonton improve services for people who are homeless. “Design is a truly interdisciplinary discipline,” says Dr. Rowe. “We always need someone to design with and for. We don’t design for ourselves.”….

Design thinkers often speak of “human-centered design” and “social innovation,” concepts that flow from DT’s assertion that no single person has the answer to a complex problem. Instead, it focuses on collective goals and places a premium on sustainability, community, culture and the empowerment of people, says Greg Van Alstyne, director of research and co-founder of the Strategic Innovation Lab, or sLab, at OCAD University. “It means you go about your problem-solving in a more holistic way. We can say ‘human-centered,’ but it’s actually ‘life-centered,’” Mr. Van Alstyne explains. “Our brand of design thinking is amenable to working within social systems and improving the lot of communities.”

 

Design thinking is also transforming university campuses in a tangible way. One example is at the University of Calgary’s Taylor Institute for Teaching and Learning, which is undergoing a $40-million renovation. “The whole space is designed to help students connect, communicate, collaborate and create knowledge,” says Lynn Taylor, vice-provost, teaching and learning. “Traditional learning was focused on the facts and concepts and procedures of a discipline, and we’re moving toward the goal of having students think far more deeply about their learning.”

To create this new space within a two-floor, 4,000-square-metre building that formerly served as an art museum, the university turned to Diamond Schmitt Architects, who have designed similar spaces at a number of other Canadian campuses. The new space, scheduled to open in February, prioritizes flexibility, with movable walls and collapsible furniture, and the seamless integration of technology.

Lead architect Don Schmitt observes that in a traditional campus building, which usually contains a long corridor and individual classrooms, conversation tends to gravitate to the only true public space: the hallway. “There’s a sense that more learning probably happens outside the classroom or between the classrooms, than happens inside the classroom,” he says.

Gone is the old-model lecture hall, with fixed podium and chairs. They’ve been replaced by a much more malleable space, which in a single day can act as a dance studio, movie theatre, lecture space, or just a big area for students to get together. “It’s about individual learning happening informally, quiet study, gregarious social activity, group study, group projects, flexible studio environments, changeable, ‘hack-able’ spaces and lots of flexibility to use different places in different ways,” Mr. Schmitt explains….(More)”

Initial Conditions Matter: Social Capital and Participatory Development


Paper by Lisa A. Cameron et al: “Billions of dollars have been spent on participatory development programs in the developing world. These programs give community members an active decision-making role. Given the emphasis on community involvement, one might expect that the effectiveness of this approach would depend on communities’ pre-existing social capital stocks. Using data from a large randomised field experiment of Community-Led Total Sanitation in Indonesia, we find that villages with high initial social capital built toilets and reduced open defecation, resulting in substantial health benefits. In villages with low initial stocks of social capital, the approach was counterproductive – fewer toilets were built than in control communities and social capital suffered….(More)”

Big Data: A Tool for Inclusion or Exclusion? Understanding the Issues


Press Release: “A new report from the Federal Trade Commission outlines a number of questions for businesses to consider to help ensure that their use of big data analytics, while producing many benefits for consumers, avoids outcomes that may be exclusionary or discriminatory.

“Big data’s role is growing in nearly every area of business, affecting millions of consumers in concrete ways,” said FTC Chairwoman Edith Ramirez. “The potential benefits to consumers are significant, but businesses must ensure that their big data use does not lead to harmful exclusion or discrimination.”

The report, Big Data: A Tool for Inclusion or Exclusion? Understanding the Issues, looks specifically at big data at the end of its lifecycle – how it is used after being collected and analyzed, and draws on information from the FTC’s 2014 workshop, “Big Data: A Tool for Inclusion or Exclusion?,” as well as the Commission’s seminar on Alternative Scoring Products. The Commission also considered extensive public comments and additional public research in compiling the report.

The report highlights a number of innovative uses of big data that are providing benefits to underserved populations, including increased educational attainment, access to credit through non-traditional methods, specialized health care for underserved communities, and better access to employment.

In addition, the report looks at possible risks that could result from biases or inaccuracies about certain groups, including more individuals mistakenly denied opportunities based on the actions of others, exposing sensitive information, creating or reinforcing existing disparities, assisting in the targeting of vulnerable consumers for fraud, creating higher prices for goods and services in lower-income communities and weakening the effectiveness of consumer choice.

The report outlines some of the various laws that apply to the use of big data, especially in regards to possible issues of discrimination or exclusion, including the Fair Credit Reporting Act, FTC Act and equal opportunity laws. It also provides a range of questions for businesses to consider when they examine whether their big data programs comply with these laws.

The report also proposes four key policy questions that are drawn from research into the ways big data can both present and prevent harms. The policy questions are designed to help companies determine how best to maximize the benefit of their use of big data while limiting possible harms, by examining both practical questions of accuracy and built-in bias as well as whether the company’s use of big data raises ethical or fairness concerns….(More)”

Finding the Missing Millions Can Help Achieve the Sustainable Development Goals


 and Mariana Dahan in the Huffington Post: “The 2030 Agenda for Sustainable Development, approved in September, takes a holistic approach to development and presents no less than 17 global Sustainable Development Goals (SDGs). In committing to the goals and associated targets, the international community has agreed to a more ambitious development compact — that of ending poverty, protecting the planet while “leaving no one behind”.

Despite this ambition, we may not know who precisely is being left out of our development programs or how to more effectively target our intended beneficiaries.

A staggering 2.4 billion people today lack any form of recognized identity (ID), including some 625 million children, aged 0-14 years, whose births have never been registered with a civil authority. Only 19 out of 198 economies provide a unique ID at birth and use this consistently in civil identification and public services.

The Center for Global Development recently organized an event titled “Identity and the SDGs: How Finding the Missing Millions Can Help Achieve Development Goals”. While intending to speak about SDG target 16.9 on legal identity for all, including birth registration, by 2030, it became obvious that the importance of robust identification goes beyond its intrinsic value: it also enables the achievement of many other SDGs, such as financial inclusion, reduced corruption, gender equality, access to health services and appropriate social protection schemes.

Global initiatives, such as the World Bank Group’s Identification for Development (ID4D) agenda, a cross-institutional and multi-sectoral effort, aim to “make everyone count.” They will build new alliances and reshape existing development strategies in the areas of identification and civil registration and vital statistics (CRVS). On the latter, the World Bank, with a number of partners – including UNICEF, the World Health Organization (WHO) and the Economic and Social Commission for Asia and the Pacific, and several bilateral donors — is launching the Global Financing Facility for Every Woman Every Child, which includes financing aimed at strengthening and expanding ID platforms of CRVS systems….

Finally, the international community should establish the right monitoring mechanisms and indicators to measure whether we are on track to achieving the SDGs. This target for universal identity will be especially critical as a means of monitoring and achieving the SDGs as a whole. As the saying goes, what is not counted doesn’t count and what is not measured cannot be managed and thus measuring progress towards global targets is a fundamental component of meeting the ambitious goals we have set….(More)”