Results of early Open Government Partnership initiatives


The Open Government Partnership: “The search for these stories ended with finding seven very different reform initiatives in different regions and covering a broad range of open government topics.

In Costa Rica, we learn about how the government is using its participation in OGP to restart a process halted for 23 years to create a consultation mechanism that will allow indigenous groups to participate in all policy making decisions that affect them, and the results of the dialogue leading to an improvement in the delivery of public services.

The Chilean story documents how a 10-year campaign to regulate influence peddling was given a boost by an explicit commitment included in the first Chilean action plan to introduce legislation to regulate lobbying – a commitment since fulfilled. The resulting Lobbying Act sheds new light on the relationship between officials and influence groups and is beginning to democratize access to authorities.

Italy’s OpenCoesione and its spin-off initiatives show how top-down open data initiatives on public spending can be combined with bottom-up, data-driven monitoring to promote accountability and public participation in the policy-making process, including promoting civic engagement amongst school students.

The Tanzanian case study tells the story of how the “How Do I?” – or “Nifanyeje?” – website is making information on basic public services available to citizens and cutting down transaction times and costs, but it also highlights the need to still reach the last mile in a country where Internet penetration remains low.

Indonesia’s initiative to create a One Map portal with official base maps for the country, part of a much larger initiative of synchronizing various maps for the country that when completed could help resolve land-related conflicts and address illegal deforestation, shows technical progress and some improvements in inter-agency cooperation.

In Macedonia, we learn how opening up data on air quality has acted as an engine for civic activism and about short and medium-term policy options being implemented and explored by the relevant authorities as a result.

Finally, the case from Israel shows how collaboration between civil society and champions within the Parliament is helping make data on the state budget accessible to citizens, journalists, and the parliamentarians themselves.

Each story demonstrates measurable progress and the added value of the collaboration between government and civil society that is at the very heart of OGP. The stories also show the immense importance of political will, bureaucratic buy-in, adequate resourcing, and demand-side calls for accountability in ensuring that the reforms take root and continue into the future, so that their impact can be felt by a broader range of citizens. In that sense, the last chapter for each story is still to be written. In a majority of the cases, these commitments’ inclusion in the OGP National Action Plans gave prominence and momentum to the envisioned reforms, helping them along. We hope to be able to continue to track these reforms in the years to come….(More)”.

The melting down of government: A multidecade perspective


Bert A. Rockman in the Special 30th Anniversary Issue of Governance: “The editors of Governance have asked me to assess the extent and nature of change in the governing process since the origins of the journal 30 years ago. This is an engaging task but a difficult one. It is difficult because trend lines rarely have a definitive beginning point—or at least if similar tendencies are seen across national boundaries, they rarely begin at the same time. It is also difficult because states and nations have different traditions and may be more or less willing to accept lessons from elsewhere. As well, national entities and even regional ones may react differently to similar problems. Old Europe, as Donald Rumsfeld the former U.S. Defense Secretary once disparagingly referred to the more democratically stable and prosperous countries of Western Europe, still seems more likely to adhere to globalization, freedom of movement across national borders, and at least some tolerance of immigration than has been the case in the Eastern and Central parts of the continent or, for that matter, in the United States.

Because it is so difficult to see uniformities across all states, I shall concentrate my attention on the case of the United States with which I am most familiar while recognizing that all developed states have been facing challenges to their industrial base and all have been facing complicated problems of labor displacement through technology and absorption of immigrant populations in the midst of diminished economic growth and modest recovery from the financial crisis of 2008. To put it simply, there have been greater challenges and fewer financial and political resources.

I see four very different tendencies at work in the process of governing and the limitations that they may impose on government. Thinking of these in terms of a series of concentric circles and moving in succession from those with the broadest radius (sociopolitical) to those with the narrowest (machinery and fiscal capabilities of government), I will characterize them accordingly as (a) the confidence in government problem; (b) the frozen political alignment problem—or as it is known in the United States, political polarization; (c) the cult of efficiency in government and also private enterprise, which has resulted in substantial outsourcing and privatization; and (d) public austerity that, among other things, has altered the balance of power between governmental authority and powerful business and nonprofit organizations. I cannot be certain that these elements interact with one another. How they do and if they do is a matter for some further endeavor….(More)”

The Open Science Prize


The Open Science Prize is a new initiative from the Wellcome Trust, US National Institutes of Health and Howard Hughes Medical Institute to encourage and support the prototyping and development of services, tools and/or platforms that enable open content – including publications, datasets, code and other research outputs – to be discovered, accessed and re-used in ways that will advance research, spark innovation and generate new societal benefits….
The volume of digital objects for research available to researchers and the wider public is greater now than ever before, and so, consequently, are the opportunities to mine and extract value from existing open content and to generate new discoveries and other societal benefits. A key obstacle in realizing these benefits is the discoverability of open content, and the ability to access and utilize it.
The goal of this Prize is to stimulate the development of novel and ground-breaking tools and platforms to enable the reuse and repurposing of open digital research objects relevant to biomedical or health applications.  A Prize model is necessary to help accelerate the field of open biomedical research beyond what current funding mechanisms can achieve.  We also hope to demonstrate the huge potential value of Open Science approaches, and to generate excitement, momentum and further investment in the field….(More)”.

Global Standards in National Contexts: The Role of Transnational Multi-Stakeholder Initiatives in Public Sector Governance Reform


Paper by Brandon Brockmyer: “Multi-stakeholder initiatives (i.e., partnerships between governments, civil society, and the private sector) are an increasingly prevalent strategy promoted by multilateral, bilateral, and nongovernmental development organizations for addressing weaknesses in public sector governance. Global public sector governance MSIs seek to make national governments more transparent and accountable by setting shared standards for information disclosure and multi- stakeholder collaboration. However, research on similar interventions implemented at the national or subnational level suggests that the effectiveness of these initiatives is likely to be mediated by a variety of socio-political factors.

This dissertation examines the transnational evidence base for three global public sector governance MSIs — the Extractive Industries Transparency Initiative, the Construction Sector Transparency Initiative, and the Open Government Partnership — and investigates their implementation within and across three shared national contexts — Guatemala, the Philippines, and Tanzania — in order to determine whether and how these initiatives lead to improvements in proactive transparency (i.e., discretionary release of government data), demand-driven transparency (i.e., reforms that increase access to government information upon request), and accountability (i.e., the extent to which government officials are compelled to publicly explain their actions and/or face penalties or sanction for them), as well as the extent to which they provide participating governments with an opportunity to project a public image of transparency and accountability, while maintaining questionable practices in these areas (i.e., openwashing).

The evidence suggests that global public sector governance MSIs often facilitate gains in proactive transparency by national governments, but that improvements in demand-driven transparency and accountability remain relatively rare. Qualitative comparative analysis reveals that a combination of multi-stakeholder power sharing and civil society capacity is sufficient to drive improvements in proactive transparency, while the absence of visible, high-level political support is sufficient to impede such reforms. The lack of demand-driven transparency or accountability gains suggests that national-level coalitions forged by global MSIs are often too narrow to successfully advocate for broader improvements to public sector governance. Moreover, evidence for openwashing was found in one-third of cases, suggesting that national governments sometimes use global MSIs to deliberately mislead international observers and domestic stakeholders about their commitment to reform….(More)”

Science Can Restore America’s Faith in Democracy


Ariel Procaccia in Wired: “…Like most other countries, individual states in the US employ the antiquated plurality voting system, in which each voter casts a vote for a single candidate, and the person who amasses the largest number of votes is declared the winner. If there is one thing that voting experts unanimously agree on, it is that plurality voting is a bad idea, or at least a badly outdated one….. Maine recently became the first US state to adopt instant-runoff voting; the approach will be used for choosing the governor and members of Congress and the state legislature….

So why aren’t we already using cutting-edge voting systems in national elections? Perhaps because changing election systems usually itself requires an election, where short-term political considerations may trump long-term, scientifically grounded reasoning….Despite these difficulties, in the last few years state-of-the-art voting systems have made the transition from theory to practice, through not-for-profit online platforms that focus on facilitating elections in cities and organizations, or even just on helping a group of friends decide where to go to dinner. For example, the Stanford Crowdsourced Democracy Team has created an online tool whereby residents of a city can vote on how to allocate the city’s budget for public projects such as parks and roads. This tool has been used by New York City, Boston, Chicago, and Seattle to allocate millions of dollars. Building on this success, the Stanford team is experimenting with groundbreaking methods, inspired by computational thinking, to elicit and aggregate the preferences of residents.

The Princeton-based project All Our Ideas asks voters to compare pairs of ideas, and then aggregates these comparisons via statistical methods, ultimately providing a ranking of all the ideas. To date, roughly 14 million votes have been cast using this system, and it has been employed by major cities and organizations. Among its more whimsical use cases is the Washington Post’s 2010 holiday gift guide, where the question was “what gift would you like to receive this holiday season”; the disappointingly uncreative top idea, based on tens of thousands of votes, was “money”.

Finally, the recently launched website RoboVote (which I created with collaborators at Carnegie Mellon and Harvard) offers AI-driven voting methods to help groups of people make smart collective decisions. Applications range from selecting a spot for a family vacation or a class president, to potentially high-stakes choices such as which product prototype to develop or which movie script to produce.

These examples show that centuries of research on voting can, at long last, make a societal impact in the internet age. They demonstrate what science can do for democracy, albeit on a relatively small scale, for now….(More)’

Artificial Intelligence Could Help Colleges Better Plan What Courses They Should Offer


Jeffrey R. Young at EdSsurge: Big data could help community colleges better predict how industries are changing so they can tailor their IT courses and other programs. After all, if Amazon can forecast what consumers will buy and prestock items in their warehouses to meet the expected demand, why can’t colleges do the same thing when planning their curricula, using predictive analytics to make sure new degree or certificates programs are started just in time for expanding job opportunities?

That’s the argument made by Gordon Freedman, president of the nonprofit National Laboratory for Education Transformation. He’s part of a new center that will do just that, by building a data warehouse that brings together up-to-date information on what skills employers need and what colleges currently offer—and then applying artificial intelligence to attempt to predict when sectors or certain employment needs might be expanding.

He calls the approach “opportunity engineering,” and the center boasts some heavy-hitting players to assist in the efforts, including the University of Chicago, the San Diego Supercomputing Center and Argonne National Laboratory. It’s called the National Center for Opportunity Engineering & Analysis.

Ian Roark, vice president of workforce development at Pima Community College in Arizona, is among those eager for this kind of “opportunity engineering” to emerge.

He explains when colleges want to start new programs, they face a long haul—it takes time to develop a new curriculum, put it through an internal review, and then send it through an accreditor….

Other players are already trying to translate the job market into a giant data set to spot trends. LinkedIn sits on one of the biggest troves of data, with hundreds of millions of job profiles, and ambitions to create what it calls the “economic graph” of the economy. But not everyone is on LinkedIn, which attracts mainly those in white-collar jobs. And companies such as Burning Glass Technologies have scanned hundreds of thousands of job listings and attempt to provide real-time intelligence on what employers say they’re looking for. Those still don’t paint the full picture, Freedman argues, such as what jobs are forming at companies.

“We need better information from the employer, better information from the job seeker and better information from the college, and that’s what we’re going after,” Freedman says…(More)”.

‘Slacktivism’ that works: ‘Small changes’ matter


 at The Conversation: “In 2013, an online petition persuaded a national organization representing high school coaches to develop materials to educate coaches about sexual assault and how they could help reduce assaults by their athletes. Online petitions have changed decisions by major corporations (ask Bank of America about its debit card fees) and affected decisions on policies as diverse as those related to survivors of sexual assault and local photography permitting requirements. Organizing and participating in these campaigns has also been personally meaningful to many.

But, a nostalgia for 1960s activism leads many to assume that “real” protest only happens on the street. Critics assume that classic social movement tactics such as rallies and demonstrations represent the only effective model for collectively pressing for change. Putting your body on the line and doing that collectively for decades is viewed as the only way “people power” works. Engaging online in “slacktivism” is a waste, making what cultural commentator Malcolm Gladwell has called “small change.”

This amounts to a debate over the “right way” to protest. And it’s bound to heat up: The election of Donald Trump is pushing many people who have not previously engaged in activism to look for ways to get involved; others are redoubling their efforts. People have a range of possible responses, including doing nothing, using online connections to mobilize and publicize support and protesting in the streets – or some combination of tactics.

As a social movement scholar and someone who believes we should leverage all assets in a challenge, I know that much social good can come from mass involvement – and research shows that includes online activism. The key to understanding the promise of what I prefer to call “flash activism” is considering the bigger picture, which includes all those people who care but are at risk of doing nothing….(More)”

Introducing the Agricultural Open Data Package: BETA Version


PressRelease: “GODAN, Open Data for Development (OD4D) Network, Open Data Charter, and the Open Data Institute are pleased to announce the release of the Agricultural Open Data Package: BETA version. …The Agriculture Open Data Package (http://AgPack.info) has been designed to help governments get to impact with open data in the agriculture sector. This practical resource provides key policy areas, key data categories, examples datasets, relevant interoperability initiatives, and use cases that policymakers and other stakeholders in the agriculture sector or open data should focus on, in order to address food security challenges.

The Package is meant as a source of inspiration and an invitation to start a national open data for agriculture initiative.

In the Package we identify fourteen key categories of data and discuss the effort it will take for a government to make this data available in a meaningful way. …

The Package also highlights more than ten use cases (the number is growing) demonstrating how open data is being harnessed to address sustainable agriculture and food security around the world. Examples include:

  • mapping water points to optimise scarce resource allocation in Burkina Faso

  • surfacing daily price information on multiple food commodities across India

  • benchmarking agricultural productivity in the Netherlands

Where relevant we also highlight applicable interoperability initiatives, such as open contracting, international aid transparency initiative (IATI), and global product classification (GPC) standards.

We recognise that the agriculture sector is diverse, with many contextual differences affecting scope of activities, priorities and capacities. In the full version of the Agricultural Open Data Package we discuss important implementation considerations such as inter-agency coordination and resourcing to develop an appropriate data infrastructure and a healthy data ‘ecosystem’ for agriculture….(More)”

Four steps to precision public health


Scott F. DowellDavid Blazes & Susan Desmond-Hellmann at Nature: “When domestic transmission of Zika virus was confirmed in the United States in July 2016, the entire country was not declared at risk — nor even the entire state of Florida. Instead, precise surveillance defined two at-risk areas of Miami-Dade County, neighbourhoods measuring just 2.6 and 3.9 square kilometres. Travel advisories and mosquito control focused on those regions. Six weeks later, ongoing surveillance convinced officials to lift restrictions in one area and expand the other.

By contrast, a campaign against yellow fever launched this year in sub-Saharan Africa defines risk at the level of entire nations, often hundreds of thousands of square kilometres. More granular assessments have been deemed too complex.

The use of data to guide interventions that benefit populations more efficiently is a strategy we call precision public health. It requires robust primary surveillance data, rapid application of sophisticated analytics to track the geographical distribution of disease, and the capacity to act on such information1.

The availability and use of precise data is becoming the norm in wealthy countries. But large swathes of the developing world are not reaping its advantages. In Guinea, it took months to assemble enough data to clearly identify the start of the largest Ebola outbreak in history. This should take days. Sub-Saharan Africa has the highest rates of childhood mortality in the world; it is also where we know the least about causes of death…..

The value of precise disease tracking was baked into epidemiology from the start. In 1854, John Snow famously located cholera cases in London. His mapping of the spread of infection through contaminated water dealt a blow to the idea that the disease was caused by bad air. These days, people and pathogens move across the globe swiftly and in great numbers. In 2009, the H1N1 ‘swine flu’ influenza virus took just 35 days to spread from Mexico and the United States to China, South Korea and 12 other countries…

The public-health community is sharing more data faster; expectations are higher than ever that data will be available from clinical trials and from disease surveillance. In the past two years, the US National Institutes of Health, the Wellcome Trust in London and the Gates Foundation have all instituted open data policies for their grant recipients, and leading journals have declared that sharing data during disease emergencies will not impede later publication.

Meanwhile, improved analysis, data visualization and machine learning have expanded our ability to use disparate data sources to decide what to do. A study published last year4 used precise geospatial modelling to infer that insecticide-treated bed nets were the single most influential intervention in the rapid decline of malaria.

However, in many parts of the developing world, there are still hurdles to the collection, analysis and use of more precise public-health data. Work towards malaria elimination in South Africa, for example, has depended largely on paper reporting forms, which are collected and entered manually each week by dozens of subdistricts, and eventually analysed at the province level. This process would be much faster if field workers filed reports from mobile phones.

Sources: Ref. 8/Bill & Melinda Gates Foundation

…Frontline workers should not find themselves frustrated by global programmes that fail to take into account data on local circumstances. Wherever they live — in a village, city or country, in the global south or north — people have the right to public-health decisions that are based on the best data and science possible, that minimize risk and cost, and maximize health in their communities…(More)”

neveragain.tech


neveragain.tech: “We, the undersigned, are employees of tech organizations and companies based in the United States. We are engineers, designers, business executives, and others whose jobs include managing or processing data about people. We are choosing to stand in solidarity with Muslim Americans, immigrants, and all people whose lives and livelihoods are threatened by the incoming administration’s proposed data collection policies. We refuse to build a database of people based on their Constitutionally-protected religious beliefs. We refuse to facilitate mass deportations of people the government believes to be undesirable…..

Today we stand together to say: not on our watch, and never again.

We commit to the following actions:

  • We refuse to participate in the creation of databases of identifying information for the United States government to target individuals based on race, religion, or national origin.
  • We will advocate within our organizations:
    • to minimize the collection and retention of data that would facilitate ethnic or religious targeting.
    • to scale back existing datasets with unnecessary racial, ethnic, and national origin data.
    • to responsibly destroy high-risk datasets and backups.
    • to implement security and privacy best practices, in particular, for end-to-end encryption to be the default wherever possible.
    • to demand appropriate legal process should the government request that we turn over user data collected by our organization, even in small amounts.
  • If we discover misuse of data that we consider illegal or unethical in our organizations:
    • We will work with our colleagues and leaders to correct it.
    • If we cannot stop these practices, we will exercise our rights and responsibilities to speak out publicly and engage in responsible whistleblowing without endangering users.
    • If we have the authority to do so, we will use all available legal defenses to stop these practices.
    • If we do not have such authority, and our organizations force us to engage in such misuse, we will resign from our positions rather than comply.
  • We will raise awareness and ask critical questions about the responsible and fair use of data and algorithms beyond our organization and our industry….(More)