Frederika Welle Donker and Bastiaan van Loenen in the Journal of eDemocracy and Open Government: “Since 2009, Open Government Data initiatives have been launched worldwide and the concept of open data is gaining momentum. Open data are often associated with realizing ambitions, such as a more transparent and efficient government, solving societal problems and increased economic value. However, between proposing an open data policy and successful implementation are some practicable obstacles, especially for government agencies required to generate sufficient revenue to cover their operating costs, so-called self-funding agencies. With lost revenue due to open data, there is a real risk that the update frequency and the quality of data may suffer or that the open data policy may even have to be reversed. This article has researched the financial effects of open data policies for self-funding agencies on their business model. The article provides some hands-on proposals for self-funding agencies having to implement an open data policy whilst ensuring their long-term sustainability….(More)”
Transforming Politics
Book by Bagguley, Paul (et al.): “This volume examines the transformation of politics and social movements at various levels. Starting with a transformation of identity within social movements, it goes on to discuss changes in the scale of social movement mobilisation. The impact of social movements on the state is also considered, with a particular focus upon the ways in which the state is able to incorporate apparently radical political agendas. Finally, the book examines those intellectual and theoretical debates stimulated by recent political transformations….(More)”
E-Government in Support of Sustainable Development
UN Department of Economic and Social Affairs: “The UN E-Government Survey 2016 on “E-Government in Support of Sustainable Development” offers a snapshot of trends in the development of e-government in countries across the globe. According to the Survey more governments are embracing information and communication technologies (ICTs) to deliver services and to engage people in decision-making processes in all regions of the world. The 2016 UN E-Government Survey provides new evidence that e-government has the potential to help support the implementation of the 2030 Agenda and its 17 sustainable development goals (SDGs). The Survey indicates a positive global trend towards higher levels of e-government development as countries in all regions are increasingly embracing innovation and utilizing new ICTs to deliver services and engage people in decision-making processes. It underscores that one of the most important new trends is the advancement of people-driven services – services that reflect people’s needs and are driven by them. At the same time, disparities remain within and among countries. Lack of access to technology, poverty and inequality prevent people from fully taking advantage of the potential of ICTs and e-government for sustainable development….(More)”
Consultation on the draft guidelines for meaningful civil participation in political decision-making
CDDG Secretariat: “The Council of Europe is preparing guidelines to help ensure meaningful civil participation in political decision-making in its member states. Before finalising these guidelines, the European Committee on Democracy and Governance (CDDG) and the Conference of International Non-Governmental Organisations (Conference of INGOs) are organising a wide public consultation on the draft text.
This consultation seeks to involve public authorities and bodies at central, regional and local level such as ministries, government departments and bodies, regional and municipal councils, and elected officials as well as civil society, including voluntary groups, non-profit organisations, associations, foundations, charities, as well as interest-based community and advocacy groups.
The joint working group of the CDDG and Conference of INGOs will carefully consider the comments and observations received when finalising the draft guidelines before presenting these to the CDDG for transmission to the Committee of Ministers of the Council of Europe for adoption.
You are invited to submit your observations (in English or French) on the draft guidelines to the CDDG Secretariat ([email protected]) by 4 September 2016. Your contributions are much appreciated.
Download the draft guidelines for meaningful civil participation in political decision-making“
Matchmaker, matchmaker make me a mortgage: What policymakers can learn from dating websites
Angelina Carvalho, Chiranjit Chakraborty and Georgia Latsi at Bank Underground: “Policy makers have access to more and more detailed datasets. These can be joined together to give an unprecedentedly rich description of the economy. But the data are often noisy and individual entries are not uniquely identifiable. This leads to a trade-off: very strict matching criteria may result in a limited and biased sample; making them too loose risks inaccurate data. The problem gets worse when joining large datasets as the potential number of matches increases exponentially. Even with today’s astonishing computer power, we need efficient techniques. In this post we describe a bipartite matching algorithm on such big data to deal with these issues. Similar algorithms are often used in online dating, closely modelled as the stable marriage problem.
The home-mover problem
The housing market matters and affects almost everything that central banks care about. We want to know why, when and how people move home. And a lot do move: one in nine UK households in 2013/4 according to the Office for National Statistics (ONS). Fortunately, it is also a market that we have an increasing amount of information about. We are going to illustrate the use of the matching algorithm in the context of identifying the characteristics of these movers and the mortgages that many of them took out.
A Potential Solution
The FCA’s Product Sales Data (PSD) on owner-occupied mortgage lending contains loan level product, borrower and property characteristics for all loans originated in the UK since Q2 2005. This dataset captures the attributes of each loan at the point of origination but does not follow the borrowers afterwards. Hence, it does not meaningfully capture if a loan was transferred to another property or closed for certain reason. Also, there is no unique borrower identifier and that is why we cannot easily monitor if a borrower repaid their old mortgage and got a new one against another property.
However, the dataset identify whether a borrower is a first time buyer or a home-mover, together with other information. Even though we do not have information before 2005, we can still try to use this dataset to identify some of the owners’ moving patterns. We try to find from where a home-mover may have moved (origination point) and who moved in to his/her vacant property. If we can successfully track the movers, it will also help us to remove corresponding old mortgages to calculate the stock of mortgages from our flow data. A previous Bank Underground post showed how probabilistic record linkage techniques can be used to join related datasets that do not have unique common identifiers. We have used bipartite graph matching techniques here to extend those ideas….(More)”
Are Crowds Wise? Engagement Over Reliance
Bruce Muirhead at Mindhive: “Crowdsourcing is developing into a mega-trend. It has begun an inexorable shift from the periphery to the mainstream of policy and problem solving methodology. We’ve heard countless times the virtue of crowds and the inherent advantages regarding access to knowledge, transparency, accountability and efficiency – yet all of these advantages rest on the simple assumption that the crowd is wise.
In the fast growing industry of crowdsourcing platforms and in society more generally we can see a growing acceptance by organisations and users alike that the crowds they are engaging with have some common failings. For instance, when addressing a specific problem there is need to consider and discount alternatives before a solution can be arrived at. In a crowd of one it is quite simple to assess the value of each competing solution and evaluate relative to these assessment the most appropriate response. Crowds are obviously not a homogenous grouping capable of relative comparison to the same degree an individual or small group can due to the fact they lack an objective set of priorities or objectives to evaluate them against. A diverse crowd from varied backgrounds will pull the preference of solution in many different directions, In the same way a machine with many moving parts is more likely to fail, a crowd with high levels of expertise, diversity of preference and variance of background is more likely to fail to reach consensus or compromise through logic and reasoning. This presents an interesting catch-22 as many crowdsourcing methodologies recommend involving a large number of varied opinions and backgrounds to enhance the originality and disruptiveness of a solution. However, such levels of disruption also imbalance the internal reasoning of the crowd and make it difficult to develop a nuanced, targeted solution to a challenge. Of course, organisations that seek to engage with crowds can mitigate these risks by developing clear objective standards of reference and outlining and priorities available to the crowd.
Additionally, in a year where the force of a crowd has propelled a man such as Donald Trump to a position that may feasible see him elected President of the United States – how can any argue that crowds are wise? Stephen Walt of Foreign Policy argues that such crowds act as such in a political context due a failing of trusting, in turn resulting from a failure of accountability. ….While crowds don’t always make wise choices, they are neither inherently wise nor unwise groups. There is doubtless intelligence in crowds – what we need to figure out and continue to develop is the process through which we can leverage it to develop more targeted solutions and involving the crowd more effectively….(More)”
From killing machines to agents of hope: the future of drones in Africa
Across Africa, however, projects are being launched that could revolutionise medical supply chains and commercial deliveries, combat poaching and provide other solutions for an overburdened, underdeveloped continent.
In Rwanda, as in many other African countries, the rainy season makes already difficult roads between smaller towns and villages all but impassable. Battered trucks struggle through the mud, and in some cases even more agile motorbikes and foot traffic are unable get through.
“Rwanda is essentially a rural country. Lots of blood products cannot be stocked at every health centre. At best it can take four to six hours to get supplies through,” says the technology minister, Jean Philbert Nsengimana.
“For mothers giving birth, postpartum haemorrhaging, or bleeding post-delivery, happens quite often. It may not be possible to prevent. Then what is needed is a quick and rapid intervention.”
“This technology has the potential to erase barriers to access for countless critical medicines and save lives on a scale not previously possible,” says Keller Rinaudo, Zipline’s chief executive, which is staffed by experienced aerospace engineers including those who have worked at SpaceX, Boeing and Nasa.
“While there are a number of potential applications for this technology, we’re keenly focused on using it to save lives.”…
Drones are being tested in other emerging economies. Matternet, another Silicon Valley startup, has run pilots moving samples from rural clinics to a laboratory inPapua New Guinea and is launching a small medical delivery network inDominican Republic.
The company is also working with Unicef in Malawi to develop a project using UAVs to carry blood samples from infants born to HIV-positive parents, underscoring the physical and geographical challenges that are present across much of the continent.
Some frontline health workers are supportive….(More)”
Why Social Ventures Need Systems Thinking
Vanessa Kirsch, Jim Bildner and Jeff Walker at Harvard Business Review: “…Over almost two decades, the social enterprise space has been learning how direct impact and systems change work together. The work our entrepreneurs face today is more complex than ever and requires a set of tools and a framework designed to address the complexity inherent when innovations are integrated into existing systems like school districts, welfare agencies, health departments, and corporate structures.
These insights, and the fact that so many of our systemic social challenges remain intractable, has led us to try to better understand what critical levers need to be “pulled” when entrepreneurs are trying to change systems.
The trail to this new approach has been blazed by many extraordinary leaders, some of whom we have funded. These leaders evidence five key characteristics to their approach:
Systems thinking. An individual or organization must first be able to put forward a new solution or set of solutions to a pressing social challenge. This sounds obvious, but we’re suggesting that organizational theories of change, business plans, and other foundational materials need to reflect systems thinking. The most important tool in the new systems entrepreneur’s suite is the ability to embed the solution into the larger system being targeted…
Research and analysis. Beyond technical understanding of solution X and its application to problem Y, systems entrepreneurs must have a deep understanding of the system or systems they are trying to change and all the factors that shape it. Marwell developed an early “influencer map” that gave him a clear understanding of the players, from the federal government to industry and communities, he would need to engage as partners. He also developed a national diagnostic website called SchoolSpeedTest to create a bigger body of data about the problem of limited internet access, with the support of the Federal Communications Commission and 100 other organizations from across sectors.
Communications. Maintaining transparent and compelling communications both internally among collaborative stakeholders and externally with key audiences is crucial to the success of a systems change effort. Marwell knew that he would need to raise awareness of the problem in order to drive through his solution, so he launched a public awareness campaign around broadband access. So Marwell gathered a list of 50 CEOs – Republicans and Democrats alike – to write the FCC, and organized letters from governors, mayors, and education-technology leaders.
Policy. As difficult as it may be to achieve in the politically polarized time we live in, changing policy is often absolutely critical to changing the underlying system that constrains the social change required. Marwell saw this opportunity early on, and he set his sights on updating the Telecommunications Act of 1996’s “E-Rate” discounted pricing provision, which had been wildly successful bringing internet access to 99% of public schools and libraries, but hadn’t kept pace with internet advances. He leveraged his network and was able to start building his case for change in meetings with FCC and White House officials.
Measurement and evaluation. Distinct from the place-setting research and analysis mentioned above, measurement and evaluation is about creating consistent and ongoing data to guide strategy and increase accountability….(More)”
Scholarpedia
About: “Scholarpedia is a peer-reviewed open-access encyclopedia written and maintained by scholarly experts from around the world. Scholarpediais inspired by Wikipedia and aims to complement it by providing in-depth scholarly treatments of academic topics.
Scholarpedia and Wikipedia are alike in many respects:
- both allow anyone to propose revisions to almost any article
- both are “wikis” and use the familiar MediaWiki software designed for Wikipedia
- both allow considerable freedom within each article’s “Talk” pages
- both are committed to the goal of making the world’s knowledge freely available to all
Nonetheless, Scholarpedia is best understood by how it is unlike most wikis, differences arising from Scholarpedia’s academic origins, goals, and audience. The most significant isScholarpedia’s process of peer-reviewed publication: all articles in Scholarpedia are either in the process of being written by a team of authors, or have already been published and are subject to expert curation….(More)”
Hype Cycle for Digital Government Technology, 2016
Gartner: “This Hype Cycle helps government agencies eager to embrace digital transformation by highlighting critical technologies that can be adopted quickly.
What You Need to Know
Austerity continues to impact governments, and the requirement to transform is substantial. Years of cuts have left IT departments struggling to operate bimodally, focused on maintaining operations, but not delivering innovation. Effective and efficient mission delivery necessitates more technology, not less, so senior organizational leaders look outside the IT department to source innovation and additional capacity. Digital government demands improvements in the value chain, using end-to-end frictionless transactions, as the outcome of technical and process improvement. CIOs’ focus must move from infrastructure and its costs toward quickly delivering true mission outcome improvements.
This Hype Cycle highlights technologies that government CIOs should be implementing or planning for to ensure the organization obtains the necessary, impactful capabilities to deliver the digital government agenda quickly. To maintain their own relevance, government CIOs must recognize their organizations’ need for innovation and be mindful of the top trends and technologies disrupting their organizations.
The Hype Cycle
This Hype Cycle addresses all geographies and tiers of government tackling the opportunities presented by digital disruptions. The technologies herein support digital government and the global trends identified in“The Top 10 Strategic Technology Trends for Government in 2016.” These technologies align to one or more of the trends and offer a mix of benefits, from increased effectiveness and efficiency, to improved security and enhanced customer interaction. Our intention is to draw attention to those technologies that map directly to these trends, and their inclusion is explained in the section “Off the Hype Cycle.”
Slower economic growth, higher debt, rising citizen expectations and an aging population demand innovative delivery of citizen-facing services, so the ROI to support investment in these technologies must be measured in more-effective outcomes. Agencies crave new solutions and capabilities to help ease the pressure on them, and they think that, if not delivered by their incumbent IT provider, they will increasingly source directly.
The technologies selected provide practical and pragmatic choices for those CIOs who need to deliver strategic solutions to enhance organizational capabilities. Use Cloud Office and Enterprise File Synchronization and Sharing (EFSS) to deliver a better digital workplace experience, or make better use of open data by using data quality tools, API marketplaces, and geospatial and location intelligence tools. We also offer a glimpse of the future to provide a better understanding of how smart machines, such as Smart Robots or Cognitive Expert Advisors, will impact your agency. In either case, using the technologies highlighted here and using Strategic Technology Maps to assess what priority and when you might be able to move will assist the business in knowing when functionality will become available. This knowledge may inspire the use of commercially available capabilities and forgo the desire for customers to self-source solutions.
Source: Gartner (July 2016)
The Priority Matrix
The Priority Matrix shows those technologies and the time frame by which they are expected to mature and deliver benefits. Transformational and high benefits accrue immediately and run forward, delivering across the next decade. It is no surprise seeing that immediate benefits accrue to tactical investment technologies, such as Social Media Engagement Applications. They allow government agencies to go beyond monitoring citizen satisfaction by giving them a level of analysis and allowing them to engage in an informed two-way debate. Thus, multichannel citizen engagement can become a measured reality, taking government out to where the citizens communicate. This is supported by customer engagement hubs that allow personalized, contextual engagement with customers across all interaction channels, regardless of medium.
Smart Machines and the Internet of Things (IoT) are also featured this year, with real examples of technologies to help smart cities progress, with the inclusion of smart transportation solutions and an IOT platform that can help government agencies deal with the plethora of data sources that will undoubtedly emerge. It must be noted, these technologies operate as digital platforms, per se. “Implementing once, serving many” must become a mantra for digital government if it is to succeed at being both effective and efficient.
Figure 2. Priority Matrix for Digital Government, 2016
Source: Gartner (July 2016)…(More).”