Conference Paper by Christine Meschede and Tobias Siebenlist: “Since the adoption of the United Nations’ Sustainable Development Goals (SDGs) in 2015 – an ambitious agenda to end poverty, combat environmental threats and ensure prosperity for everyone – some effort has been made regarding the adequate measuring of the progress on its targets. As the crucial point is the availability of sufficient, comparable information, open data can play a key role. The coverage of open data, i.e., data that is machine-readable, freely available and reusable for everyone, is assessed by several measurement tools. We propose the use of open governmental data to make the achievement of SDGs easy and transparent to measure. For this purpose, a mapping of the open data categories to the SDGs is presented. Further, we argue that the SDGs need to be tackled in particular at the city level. For analyzing the current applicability of open data for measuring progress on the SDGs, we provide a small-scale case study on German open data portals and the embedded data categories and datasets. The results suggest that further standardization is needed in order to be able to use open data for comparing cities and their progress towards the SDGs….(More)”.
The Public Domain
Article by Ilanah Simon Fhima: “…explores whether it is possible to identify and delineate the public domain in intellectual property law.
The article begins with a review of existing IP scholarship on the public domain. Identifying that the prevailing model of the public domain relies upon analogies to the commons, it questions how well a model based upon medieval real property holdings might be expected to capture the nuances of intangible property in the internet age. Additionally, academic focus is predominantly directed on copyright law at the expense of other fields of intellectual endeavour and adopts a US-centric viewpoint, which may not reflective of the different settlement reached in the EU-influenced UK. The article then explores whether an alternative rhetoric in ‘no property’ – tangible objects which cannot be propertised – or a potential analogy with public rights of access to land might provide more suitable alternatives.
Ultimately, the article concludes that it is impossible to draw a complete map of the public domain in terms of what should not be propertised. Instead, it advocates for a positive conception of the public domain, based on individual uses that should always remain free, and the general public interests underlying those uses. This more flexible approach allows the law to evolve in response to specific changes in technology and social conditions, while at the same time maintaining a focus on core non-negotiable freedoms. It also consider whether the same methodology can be applied to tangible property….(More)”.
Which Countries Have More Open Governments? Assessing Structural Determinants of Openness
Paper by Sabina Schnell and Suyeon Jo: “An increasing number of countries are adopting open government reforms, driven, in part, by the Open Government Partnership (OGP), a global effort dedicated to advancing such initiatives. Yet, there is still wide variation in openness across countries. We investigate the political, administrative, and civic factors that explain this variation, using countries’ fulfillment of OGP eligibility criteria as a proxy for minimum standards of openness. We find that countries with strong constraints on the executive and high levels of citizen education have governments that are more open. A dense network of civil society organizations is associated with more budget transparency and higher civil liberties, but not with access to information or asset disclosure laws. The results suggest that if the value of openness is to be translated in practice, it is not enough to have capable bureaucracies—countries also need informed citizens and strong oversight of executive agencies….(More)”.
Crowdsourcing and Crisis Mapping in Complex Emergencies
Guidance paper by Andrew Skuse: “…examines the use of crowdsourcing and crisis mapping during complex emergencies. Crowdsourcing is a process facilitated by new information and communication technologies (ICTs), social media platforms and dedicated software programs. It literally seeks the help of ‘the crowd’, volunteers or the general public, to complete a series of specific tasks such as data collection, reporting, document contribution and so on. Crowdsourcing is important in emergency situations because it allows for a critical link to be forged between those affected by an emergency and those who are responding to it. Crowdsourcing is often used by news organisations to gather information, i.e. citizen journalism, as well as by organisations concerned with emergencies and humanitarian aid, i.e. International Committee of the Red Cross, the Standby Task Force and CrisisCommons. Here, crowdsourced data on voting practices and electoral violence, as well as the witnessing of human rights contraventions are helping to improve accountability and transparency in fragile or conflict-prone states. Equally, crowdsourcing facilitates the sharing of individual and collective experiences, the gathering of specialized knowledge, the undertaking of collective mapping tasks and the engagement of the public through ‘call-outs’ for information…(More)”.
The great ‘unnewsed’ struggle to participate fully in democracy
Polly Curtis in the Financial Times: “…We once believed in utopian dreams about how a digital world would challenge power structures, democratise information and put power into the hands of the audience. Twenty years ago, I even wrote a university dissertation on how the internet was going to re-democratise society.
Two decades on, power structures have certainly been disrupted, but that utopianism has now crashed into a different reality: a growing and largely unrecognised crisis of the “unnewsed” population. The idea of the unnewsed stems from the concept of the “unbanked”, people who are dispossessed of the structures of society that depend on having a bank account.
Not having news does the same for you in a democratic system. It is a global problem. In parts of the developing world the digital divide is defined by the cost of data, often splitting between rural and urban, and in some places male control of mobile phones exacerbates the disenfranchisement of women. Even in the affluent west, where data is cheap and there are more sim cards than people, that digital divide exists. In the US the concept of “news deserts”, communities with no daily local news outlet, is well established.
Last week, the Reuters Digital News Report, an annual survey of the digital news habits of 75,000 people in 38 countries, reported that 32 per cent now actively avoid the news — avoidance is up 6 percentage points overall and 11 points in the UK. When I dug into other data on news consumption, from the UK communications regulator Ofcom, I found that those who claim not to follow any news are younger, less educated, have lower incomes and are less likely to be in work than those who do. We don’t like to talk about it, but news habits are closely aligned to something that looks very like class. How people get their news explains some of this — and demonstrates the class divide in access to information.
Research by Oxford university’s Reuters Institute last year found that there is greater social inequality in news consumption online than offline. Whereas on average we all use the same number of news sources offline, those on the lower end of the socio-economic scale use significantly fewer sources online. Even the popular tabloids, with their tradition of campaigning news for mass audiences, now have higher social class readers online than in print. Instead of democratising information, there is a risk that the digital revolution is exacerbating gaps in news habits….(More)”.
Open Data Retrospective
Laura Bacon at Luminate:: “Our global philanthropic organisation – previously the Government & Citizen Engagement (GCE) initiative at Omidyar Network, now Luminate – has been active in the open data space for over decade. In that time, we have invested more than $50m in organisations and platforms that are working to advance open data’s potential, including Open Data Institute, IMCO, Open Knowledge, ITS Rio, Sunlight, GovLab, Web Foundation, Open Data Charter, and Open Government Partnership.
Ahead of our transition from GCE to Luminate last year, we wanted to take a step back and assess the field in order to cultivate a richer understanding of the evolution of open data—including its critical developments, drivers of change, and influential actors[1]. This research would help inform our own strategy and provide valuable insight that we can share with the broader open data ecosystem.
First, what is open data? Open data is data that can be freely used, shared, and built-upon by anyone, anywhere, for any purpose. At its best, open government data can empower citizens, improve governments, create opportunities, and help solve public problems. Have you used a transport app to find out when the next bus will arrive? Or a weather app to look up a forecast? When using a real estate website to buy or rent a home, have you also reviewed its proximity to health, education, and recreational facilities or checked out neighborhood crime rates? If so, your life has been impacted by open data.
The Open Data Retrospective
We commissioned Dalberg, a global strategic advisory firm, to conduct an Open Data Retrospective to explore: ‘how and why did the open data field evolve globally over the past decade?’ as well as ‘where is the field today?’ With the concurrent release of the report “The State of Open Data” – led by IDRC and Open Data for Development initiative – we thought this would be a great time to make public the report we’d commissioned.
You can see Dalberg’s open data report here, and its affiliated data here. Please note, this presentation is a modification of the report. Several sections and slides have been removed for brevity and/or confidentiality. Therefore, some details about particular organisations and strategies are not included in this deck.
Evolution and impact
Dalberg’s report covers the trajectory of the open data field and characterised it as: inception (pre-2008), systematisation (2009-2010), expansion (2011-2015), and reevaluation (2016-2018).This characterisation varies by region and sector, but generally captures the evolution of the open data movement….(More)”.
Political Corruption in a World in Transition
Book edited by Jonathan Mendilow and Éric Phélippeau: “This book argues that the mainstream definitions of corruption, and the key expectations they embed concerning the relationship between corruption, democracy, and the process of democratization, require reexamination. Even critics who did not consider stable institutions and legal clarity of veteran democracies as a cure-all, assumed that the process of widening the influence on government decision making and implementation allows non-elites to defend their interests, define the acceptable sources and uses of wealth, and demand government accountability. This had proved correct, especially insofar as ‘petty corruption’ is involved. But the assumption that corruption necessarily involves the evasion of democratic principles and a ‘market approach’ in which the corrupt seek to maximize profit does not exhaust the possible incentives for corruption, the types of behaviors involved (for obvious reasons, the tendency in the literature is to focus on bribery), or the range of situations that ‘permit’ corruption in democracies. In the effort to identify some of the problems that require recognition, and to offer a more exhaustive alternative, the chapters in this book focus on corruption in democratic settings (including NGOs and the United Nations which were largely so far ignored), while focusing mainly on behaviors other than bribery….(More)”.
The Age of Digital Interdependence
Report of the High-level Panel on Digital Cooperation: “The immense power and value of data in the modern economy can and must be harnessed to meet the SDGs, but this will require new models of collaboration. The Panel discussed potential pooling of data in areas such as health, agriculture and the environment to enable scientists and thought leaders to use data and artificial intelligence to better understand issues and find new ways to make progress on the SDGs. Such data commons would require criteria for establishing relevance to the SDGs, standards for interoperability, rules on access and safeguards to ensure privacy and security.
Anonymised data – information that is rendered anonymous in such a way that the data subject is not or no longer identifiable – about progress toward the SDGs is generally less sensitive and controversial than the use of personal data of the kind companies such as Facebook, Twitter or Google may collect to drive their business models, or facial and gait data that could be used for surveillance. However, personal data can also serve development goals, if handled with proper oversight to ensure its security and privacy.
For example, individual health data is extremely sensitive – but many people’s health data, taken together, can allow researchers to map disease outbreaks, compare the effectiveness of treatments and improve understanding of conditions. Aggregated data from individual patient cases was crucial to containing the Ebola outbreak in West Africa. Private and public sector healthcare providers around the world are now using various forms of electronic medical records. These help individual patients by making it easier to personalise health services, but the public health benefits require these records to be interoperable.
There is scope to launch collaborative projects to test the interoperability of data, standards and safeguards across the globe. The World Health Assembly’s consideration of a global strategy for digital health in 2020 presents an opportunity to launch such projects, which could initially be aimed at global health challenges such as Alzheimer’s and hypertension.
Improved digital cooperation on a data-driven approach to public health has the potential to lower costs, build new partnerships among hospitals, technology companies, insurance providers and research institutes and support the shift from treating diseases to improving wellness. Appropriate safeguards are needed to ensure the focus remains on improving health care outcomes. With testing, experience and necessary protective measures as well as guidelines for the responsible use of data, similar cooperation could emerge in many other fields related to the SDGs, from education to urban planning to agriculture…(More)”.
Study finds that a GPS outage would cost $1 billion per day
Eric Berger at Ars Technica: “….one of the most comprehensive studies on the subject has assessed the value of this GPS technology to the US economy and examined what effect a 30-day outage would have—whether it’s due to a severe space weather event or “nefarious activity by a bad actor.” The study was sponsored by the US government’s National Institutes of Standards and Technology and performed by a North Carolina-based research organization named RTI International.
Economic effect
As part of the analysis, researchers spoke to more than 200 experts in the use of GPS technology for various services, from agriculture to the positioning of offshore drilling rigs to location services for delivery drivers. (If they’d spoken to me, I’d have said the value of using GPS to navigate Los Angeles freeways and side streets was incalculable). The study covered a period from 1984, when the nascent GPS network was first opened to commercial use, through 2017. It found that GPS has generated an estimated $1.4 trillion in economic benefits during that time period.
The researchers found that the largest benefit, valued at $685.9 billion, came in the “telecommunications” category, including improved reliability and bandwidth utilization for wireless networks. Telematics (efficiency gains, cost reductions, and environmental benefits through improved vehicle dispatch and navigation) ranked as the second most valuable category at $325 billion. Location-based services on smartphones was third, valued at $215 billion.
Notably, the value of GPS technology to the US economy is growing. According to the study, 90 percent of the technology’s financial impact has come since just 2010, or just 20 percent of the study period. Some sectors of the economy are only beginning to realize the value of GPS technology, or are identifying new uses for it, the report says, indicating that its value as a platform for innovation will continue to grow.
Outage impact
In the case of some adverse event leading to a widespread outage, the study estimates that the loss of GPS service would have a $1 billion per-day impact, although the authors acknowledge this is at best a rough estimate. It would likely be higher during the planting season of April and May, when farmers are highly reliant on GPS technology for information about their fields.
To assess the effect of an outage, the study looked at several different variables. Among them was “precision timing” that enables a number of wireless services, including the synchronization of traffic between carrier networks, wireless handoff between base stations, and billing management. Moreover, higher levels of precision timing enable higher bandwidth and provide access to more devices. (For example, the implementation of 4G LTE technology would have been impossible without GPS technology)….(More)”
The New York Times has a course to teach its reporters data skills, and now they’ve open-sourced it
Joshua Benton at Nieman Labs: “The New York Times wants more of its journalists to have those basic data skills, and now it’s releasing the curriculum they’ve built in-house out into the world, where it can be of use to reporters, newsrooms, and lots of other people too.
Here’s Lindsey Rogers Cook, an editor for digital storytelling and training at the Times, and the sort of person who is willing to have “spreadsheets make my heart sing” appear under her byline:
Even with some of the best data and graphics journalists in the business, we identified a challenge: data knowledge wasn’t spread widely among desks in our newsroom and wasn’t filtering into news desks’ daily reporting.
Yet fluency with numbers and data has become more important than ever. While journalists once were fond of joking that they got into the field because of an aversion to math, numbers now comprise the foundation for beats as wide-ranging as education, the stock market, the Census, and criminal justice. More data is released than ever before — there are nearly 250,000 datasets on data.govalone — and increasingly, government, politicians, and companies try to twist those numbers to back their own agendas…
We wanted to help our reporters better understand the numbers they get from sources and government, and give them the tools to analyze those numbers. We wanted to increase collaboration between traditional and non-traditional journalists…And with more competition than ever, we wanted to empower our reporters to find stories lurking in the hundreds of thousands of databases maintained by governments, academics, and think tanks. We wanted to give our reporters the tools and support necessary to incorporate data into their everyday beat reporting, not just in big and ambitious projects.
….You can access the Times’ training materials here. Some of what you’ll find:
- An outline of the data skills the course aims to teach. It’s all run on Google Docs and Google Sheets; class starts with the uber-basics (mean! median! sum!), crosses the bridge of pivot tables, and then heads into data cleaning and more advanced formulas.
- The full day-by-day outline of the Times’ three-week course, which of course you’re free to use or reshape to your newsroom’s needs.
- It’s not just about cells, columns, and rows — the course also includes more journalism-based information around ethical questions, how to use data effectively inside a story’s narrative, and how best to work with colleagues in the graphic department.
- Cheat sheets! If you don’t have time to dig too deeply, they’ll give a quick hit of information: one, two, three, four, five.
- Data sets that you use to work through the beginner, intermediate, and advanced stages of the training, including such journalism classics as census data, campaign finance data, and BLS data.But don’t be a dummy and try to write real news stories off these spreadsheets; the Times cautions in bold: “NOTE: We have altered many of these datasets for instructional purposes, so please download the data from the original source if you want to use it in your reporting.”
- “How Not To Be Wrong,” which seems like a useful thing….(More)”