Our path to better science in less time using open data science tools


Julia S. Stewart Lowndes et al in Nature: “Reproducibility has long been a tenet of science but has been challenging to achieve—we learned this the hard way when our old approaches proved inadequate to efficiently reproduce our own work. Here we describe how several free software tools have fundamentally upgraded our approach to collaborative research, making our entire workflow more transparent and streamlined. By describing specific tools and how we incrementally began using them for the Ocean Health Index project, we hope to encourage others in the scientific community to do the same—so we can all produce better science in less time.

Figure 1: Better science in less time, illustrated by the Ocean Health Index project.
Figure 1

Every year since 2012 we have repeated Ocean Health Index (OHI) methods to track change in global ocean health36,37. Increased reproducibility and collaboration has reduced the amount of time required to repeat methods (size of bubbles) with updated data annually, allowing us to focus on improving methods each year (text labels show the biggest innovations). The original assessment in 2012 focused solely on scientific methods (for example, obtaining and analysing data, developing models, calculating, and presenting results; dark shading). In 2013, by necessity we gave more focus to data science (for example, data organization and wrangling, coding, versioning, and documentation; light shading), using open data science tools. We established R as the main language for all data preparation and modelling (using RStudio), which drastically decreased the time involved to complete the assessment. In 2014, we adopted Git and GitHub for version control, project management, and collaboration. This further decreased the time required to repeat the assessment. We also created the OHI Toolbox, which includes our R package ohicore for core analytical operations used in all OHI assessments. In subsequent years we have continued (and plan to continue) this trajectory towards better science in less time by improving code with principles of tidy data33; standardizing file and data structure; and focusing more on communication, in part by creating websites with the same open data science tools and workflow. See text and Table 1 for more details….(More)”

Citizen Science and Alien Species in Europe


European Commission: “Citizen Science programs aim at creating a bridge between science and the general public, actively involving citizens in research projects. In this way, citizen scientists can work side by side with experts, contributing to the increase of scientific knowledge, addressing local, national and international issues that need scientific support and having the potential to influence policy-making.
The EU Regulation 1143/2014 on Invasive Alien Species (IAS) acknowledges the important role public awareness and active involvement of the citizens have for the successful implementation of the Regulation. Thus, Citizen Science could bring an important contribution to the early detection and monitoring of invasive alien species, as, in order to adopt efficient control measures, it is necessary to know the presence and distribution of these species as soon as possible.
With the new website section we want to disseminate information about how citizens can be involved in activities aimed at protecting European biodiversity, awareness raising, sharing news, examples and developments from the emerging field of Citizen Science.
If you are interested in becoming a citizen scientist and want to help monitor invasive alien species (IAS) in your region, you can use our App “Invasive Alien Species Europe” to report the 37 IAS of Union Concern.
Furthermore, we have compiled a list of European Citizen Science projects dealing with alien species. The list is not exhaustive and is open for improvement …(More)”.

A framework for analyzing digital volunteer contributions in emergent crisis response efforts


 and  in New Media and Society: “Advances in information, communication, and computational technologies allow digital volunteer networks formed by concerned publics across the globe to contribute to an effective response to disasters and crises. Digital volunteer networks are event-centric and emergent networks. Currently, the literature is sharply growing in the fields of communication, computer science, emergency management, and geography. This article aims to assess the current status of the literature and suggest a comprehensive conceptual framework of digital volunteer networks in response to disasters and crises. This framework is based on a traditional input–process–output model consisting of three dimensions: the disaster and crisis context, a voluntary response process, and outputs and outcomes. We also discuss challenges of digital volunteer networks for crisis response. This article is expected to contribute to the development of related theories and hypotheses and practical strategies for managing digital volunteer networks…(More)”,

Policymakers around the world are embracing behavioural science


The Economist: “In 2013 thousands of school pupils in England received a letter from a student named Ben at the University of Bristol. The recipients had just gained good marks in their GCSEs, exams normally taken at age 16. But they attended schools where few pupils progressed to university at age 18, and those that did were likely to go to their nearest one. That suggested the schools were poor at nurturing aspiration. In his letter Ben explained that employers cared about the reputation of the university a job applicant has attended. He pointed out that top universities can be a cheaper option for poorer pupils, because they give more financial aid. He added that he had not known these facts at the recipient’s age.

The letters had the effect that was hoped for. A study published in March found that after leaving school, the students who received both Ben’s letter and another, similar one some months later were more likely to be at a prestigious university than those who received just one of the letters, and more likely again than those who received none. For each extra student in a better university, the initiative cost just £45 ($58), much less than universities’ own attempts to broaden their intake. And the approach was less heavy-handed than imposing quotas for poorer pupils, an option previous governments had considered. The education department is considering rolling out the scheme….

Some critics feared that nudges would do little good, and that their effects would fade over time. Others warned that governments were straying perilously close to mass manipulation. More recently, some of the findings on which the behavioural sciences rest have been questioned, as researchers in many fields have sought to replicate famous results, and failed.

By and large those doubts have been allayed. Even if specific results turn out to be mistaken, an experimental, iterative, data-driven approach to policymaking is gaining ground in many places, not just in dedicated units, but throughout government.

Nudging is hardly new. “In Genesis, Satan nudged, and Eve did too,” writes Cass Sunstein of Harvard University. From the middle of the 20th century psychologists such as Stanley Milgram and Philip Zimbardo showed how sensitive humans are to social pressure. Daniel Kahneman and Amos Tversky described the mental shortcuts and biases that influence decision-making. Dale Carnegie and Robert Cialdini wrote popular books on persuasion. Firms, especially in technology, retail and advertising, used behavioural science to shape brand perception and customer behaviour—and, ultimately, to sell more stuff.

But governments’ use of psychological insights to achieve policy goals was occasional and unsystematic. According to David Halpern, the boss of BIT, as far as policymakers were concerned, psychology was “the sickly sibling to economics”. That began to change after Mr Sunstein and Richard Thaler, an economist, published “Nudge”, in 2008. The book attacked the assumption of rational decision-making inherent in most economic models and showed how “choice architecture”, or context, could be changed to “nudge” people to make better choices…..

Now many governments are turning to nudges to save money and do better. In 2014 the White House opened the Social and Behavioural Sciences Team. A report that year by Mark Whitehead of Aberystwyth University counted 51 countries in which “centrally directed policy initiatives” were influenced by behavioural sciences. Non-profit organisations such as Ideas42, set up in 2008 at Harvard University, help run dozens of nudge-style trials and programmes around the world. In 2015 the World Bank set up a group that is now applying behavioural sciences in 52 poor countries. The UN is turning to nudging to help hit the “sustainable development goals”, a list of targets it has set for 2030….

Among the most effective nudges are “social” ones: those that communicate norms or draw on people’s networks. A scheme tested in Guatemala with help from the World Bank and BIT tweaked the wording of letters sent to people and firms who had failed to submit tax returns the previous year. The letters that framed non-payment as an active choice, or noted that paying up is more common than evasion, cut the number of non-payers in the following year and increased the average sum paid. And a trial involving diabetes shows that it matters to nudge at the right moment. In 2014 Hamad Medical Corporation, a health-care provider in Qatar, raised take-up rates for diabetes screening by offering it during Ramadan. That meant most Qataris were fasting, so the need to do so before the test imposed no extra burden….(More)”.

A Framework for Assessing Technology Hubs in Africa


Paper by Jeremy de BeerPaula MillarJacquelen MwangiVictor B. Nzomo, and Isaac Rutenberg: “This article explains the importance of technology hubs as drivers of innovation, social change, and economic opportunity within and beyond the African continent. The article is the first to thoroughly review and synthesize findings from multi-disciplinary literature, and integrate insights from qualitative data gathered via interviews and fieldwork. It identifies three archetypes of hubs — clusters, companies, and countries — and discusses examples of each archetype using Kenya as a case study. The article discusses potential collaboration, conflicts, and competition among these archetypes of hubs, and concludes with recommendations for future researchers….(More)”

CityDash: Visualising a Changing City Using Open Data


Chapter by Christopher Pettit, Scott N. Lieske and Murad Jamal in Planning Support Science for Smarter Urban Futures: “In an increasingly urbanised world, there are pressures being placed on our cities, which planners, decision-makers, and communities need to be able to respond to. Data driven responses and tools that can support the communication of information, and indicators on a city’s performance are becoming increasingly available and have the potential to play a critical role in understanding and managing complex urban systems . In this research, we will review international efforts in the creation of city dashboards and introduce the City of Sydney Dashboard, known as CityDash. This chapter culminates in a number of recommendations for city dashboards’ implementation. The recommendations for city dashboards include: consolidated information on a single web page, live data feeds relevant to planners and decision-makers as well as citizens’ daily lives, and site analytics as a way of evaluating user interactions and preferences….(More)”.

Harnessing Science, Technology and Innovation to achieve the Sustainable Development Goals


Featured innovations for the second STI Forum: “…The theme of the 2017 High-level Political Forum on Sustainable Development (HLPF) is “Eradicating poverty and promoting prosperity in a changing world“, and the Member States have decided that the HLPF 2017 shall focus on six SDGs (1, 2, 3, 5, 9 and 14) in addition to SDG 17 that will be considered at each HLPF. In this context, the following topic may be considered for the STI Forum 2017: “Science, Technology and Innovation for a Changing World – Focus on SDGs 1, 2, 3, 5, 9, and 14“….

The second Call for Innovations was launched for the sharing of innovations that provide solutions targeted to these six SDGs. Innovators from around the world were invited to submit their scientific and technological solutions to the challenges posed by the six SDGs.The Call for Innovations is now closed. More than 110 inspiring innovations from all the globe were submitted through the Global Innovations Exchange platform.The following outstanding innovators were selected to attend the STI Forum 2017 at UNHQ and showcase their solutions:

Decision Making in a World of Comparative Effectiveness Research


Book by Howard G. Birnbaum and Paul E. Greenberg: “In the past decade there has been a worldwide evolution in evidence-based medicine that focuses on real-world Comparative Effectiveness Research (CER) to compare the effects of one medical treatment versus another in real world settings. While most of this burgeoning literature has focused on research findings, data and methods, Howard Birnbaum and Paul Greenberg (both of Analysis Group) have edited a book that provides a practical guide to decision making using the results of analysis and interpretation of CER. Decision Making in a World of Comparative Effectiveness contains chapters by senior industry executives, key opinion leaders, accomplished researchers, and leading attorneys involved in resolving disputes in the life sciences industry. The book is aimed at ‘users’ and ‘decision makers’ involved in the life sciences industry rather than those doing the actual research. This book appeals to those who commission CER within the life sciences industry (pharmaceutical, biologic, and device manufacturers), government (both public and private payers), as well as decision makers of all levels, both in the US and globally…(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


 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)