New blog post by Tina Nabatchi: “By requiring all federal agencies to be more transparent, collaborative, and participatory, the Obama Administration’s Open Government Initiative promised to bring watershed changes to government. While much progress has been made since the release of its first National Action Plan, advances in the arena of public participation have been disappointing. Champions of public participation had high hopes for the second National Action Plan, which was released by the White House on December 5, 2013. While the second plan has numerous commendable and important commitments that increase transparency and collaboration, it falls flat with regard to public participation, perhaps with the exception of its promotion of participatory budgeting.
The second plan includes three explicit commitments involving “public participation.” The first commitment, “Improving Public Participation in Government,” is to be done by: (1) “expanding and simplifying the use of the We the People e-petition platform,” and (2) “publishing best practices and metrics for public participation” (see page 2). Both of these commitments (in different form) were in the first National Action Plan.
….
Perhaps the lack of movement is because realizing the promise of public participation at the federal level requires making challenging, substantive changes to our administrative infrastructure. Several issues impede the effective use of participation in open government at the federal level, including among others:
Most of the laws that govern that use of public participation are over thirty years old and pre-date the internet. Existing laws and regulations use a narrow definition of public participation and fail to embrace the vast array of robust, empowered participatory methods. Moreover, the laws are often in tension with agency missions and the goals of participation, and leave agency staff wondering whether participatory innovations are legal.
Agency officials sometimes lack the knowledge, skills, and abilities to launch effective and meaningful participatory programs, and there are few opportunities for officials to learn about best practices from each other and from civil society. Agency officials who have taken lead roles in innovative public participation efforts do not always feel supported by the Administration.
Several laws, rules, and regulations limit agencies’ ability to collect and use routine data from participatory programs, which impedes evaluation efforts. Thus, agencies are severely restricted in their ability to appraise and improve participatory developments and implementation.
Had these issues been addressed in the second National Action Plan, then perhaps federal agencies would have been able to focus on the participatory aspects of open government and help the U.S. become a leader in public participation innovation. To this end, as the Administration moves forward with Open Government, it should work on: (1) reviewing and clarifying the legal framework for participation, including a more expansive and clear definition of public participation; (2) helping agencies develop the internal capacity needed to conduct more meaningful public participation; and (3) developing a generic, OMB-approved tool that all agencies can use to collect common data about individual participants for routine uses. Without attention to these issues, the Open Government Initiative will fail to reshape the practices and activities of public participation in the work of federal agencies.”
Web Science: Understanding the Emergence of Macro-Level Features on the World Wide Web
Monograph by Kieron O’Hara, Noshir S. Contractor, Wendy Hall, James A. Hendler and Nigel Shadbolt in Foundations and Trends in Web Sciences: “Web Science considers the development of Web Science since the publication of ‘A Framework for Web Science’ (Berners-Lee et al., 2006). This monograph argues that the requirement for understanding should ideally be accompanied by some measure of control, which makes Web Science crucial in the future provision of tools for managing our interactions, our politics, our economics, our entertainment, and – not least – our knowledge and data sharing…
In this monograph we consider the development of Web Science since the launch of this journal and its inaugural publication ‘A Framework for Web Science’ [44]. The theme of emergence is discussed as the characteristic phenomenon of Web-scale applications, where many unrelated micro-level actions and decisions, uninformed by knowledge about the macro-level, still produce noticeable and coherent effects at the scale of the Web. A model of emergence is mapped onto the multitheoretical multilevel (MTML) model of communication networks explained in [252]. Four specific types of theoretical problem are outlined. First, there is the need to explain local action. Second, the global patterns that form when local actions are repeated at scale have to be detected and understood. Third, those patterns feed back into the local, with intricate and often fleeting causal connections to be traced. Finally, as Web Science is an engineering discipline, issues of control of this feedback must be addressed. The idea of a social machine is introduced, where networked interactions at scale can help to achieve goals for people and social groups in civic society; an important aim of Web Science is to understand how such networks can operate, and how they can control the effects they produce on their own environment.”
Open Data in Action
Nick Sinai at the White House: “Over the past few years, the Administration has launched a series of Open Data Initiatives, which, have released troves of valuable data in areas such as health, energy, education, public safety, finance, and global development…
Today, in furtherance of this exciting economic dynamic, The Governance Lab (The GovLab) —a research institution at New York University—released the beta version of its Open Data 500 project—an initiative designed to identify, describe, and analyze companies that use open government data in order to study how these data can serve business needs more effectively. As part of this effort, the organization is compiling a list of 500+ companies that use open government data to generate new business and develop new products and services.
This working list of 500+ companies, from sectors ranging from real estate to agriculture to legal services, shines a spotlight on surprising array of innovative and creative ways that open government data is being used to grow the economy – across different company sizes, different geographies, and different industries. The project includes information about the companies and what government datasets they have identified as critical resources for their business.
Some of examples from the Open Data 500 Project include:
- Brightscope, a San Diego-based company that leverages data from the Department of Labor, the Security and Exchange Commission, and the Census Bureau to rate consumers’ 401k plans objectively on performance and fees, so companies can choose better plans and employees can make better decisions about their retirement options.
- AllTuition, a Chicago-based startup that provides services—powered by data from Department of Education on Federal student financial aid programs and student loans— to help students and parents manage the financial-aid process for college, in part by helping families keep track of deadlines, and walking them through the required forms.
- Archimedes, a San Francisco healthcare modeling and analytics company, that leverages Federal open data from the National Institutes of Health, the Centers for Disease Control and Prevention, and the Center for Medicaid and Medicare Services, to provide doctors more effective individualized treatment plans and to enable patients to make informed health decisions.
See also:
Open Government Data: Companies Cash In
Open data and transparency: a look back at 2013
Web-based technology continued to offer increasing numbers of people the ability to share standardised data and statistics to demand better governance and strengthen accountability. 2013 seemed to herald the moment that the open data/transparency movement entered the mainstream.
Yet for those who have long campaigned on the issue, the call was more than just a catchphrase, it was a unique opportunity. “If we do get a global drive towards open data in relation to development or anything else, that would be really transformative and it’s quite rare to see such bold statements at such an early stage of the process. I think it set the tone for a year in which transparency was front and centre of many people’s agendas,” says David Hall Matthews, of Publish What You Fund.
This year saw high level discussions translated into commitments at the policy level. David Cameron used the UK’s presidency of the G8 to trigger international action on the three Ts (tax, trade and transparency) through the IF campaign. The pledge at Lough Erne, in Scotland, reaffirmed the commitment to the Busan open data standard as well as the specific undertaking that all G8 members would implement International Aid Transparency Index (IATI) standards by the end of 2015.
2013 was a particularly good year for the US Millenium Challenge Corporation (MCC) which topped the aid transparency index. While at the very top MCC and UK’s DfID were examples of best practice, there was still much room for improvement. “There is a really long tail of agencies who are not really taking transparency at all, yet. This includes important donors, the whole of France and the whole of Japan who are not doing anything credible,” says Hall-Matthews.
Yet given the increasing number of emerging and ‘frontier‘ markets whose growth is driven in large part by wealth derived from natural resources, 2013 saw a growing sense of urgency for transparency to be applied to revenues from oil, gas and mineral resources that may far outstrip aid. In May, the new Extractive Industries Transparency Initiative standard (EITI) was adopted, which is said to be far broader and deeper than its previous incarnation.
Several countries have done much to ensure that transparency leads to accountability in their extractive industries. In Nigeria, for example, EITI reports are playing an important role in the debate about how resources should be managed in the country. “In countries such as Nigeria they’re taking their commitment to transparency and EITI seriously, and are going beyond disclosing information but also ensuring that those findings are acted upon and lead to accountability. For example, the tax collection agency has started to collect more of the revenues that were previously missing,” says Jonas Moberg, head of the EITI International Secretariat.
But just the extent to which transparency and open data can actually deliver on its revolutionary potential has also been called into question. Governments and donors agencies can release data but if the power structures within which this data is consumed and acted upon do not shift is there really any chance of significant social change?
The complexity of the challenge is illustrated by the case of Mexico which, in 2014, will succeed Indonesia as chair of the Open Government Partnership. At this year’s London summit, Mexico’s acting civil service minister, spoke of the great strides his country has made in opening up the public procurement process, which accounts for around 10% of GDP and is a key area in which transparency and accountability can help tackle corruption.
There is, however, a certain paradox. As SOAS professor, Leandro Vergara Camus, who has written extensively on peasant movements in Mexico, explains: “The NGO sector in Mexico has more of a positive view of these kinds of processes than the working class or peasant organisations. The process of transparency and accountability have gone further in urban areas then they have in rural areas.”…
With increasing numbers of organisations likely to jump on the transparency bandwagon in the coming year the greatest challenge is using it effectively and adequately addressing the underlying issues of power and politics.
Top 2013 transparency publications
Open data, transparency and international development, The North South Institute
Data for development: The new conflict resource?, Privacy International
The fix-rate: a key metric for transparency and accountability, Integrity Action
Making UK aid more open and transparent, DfID
Getting a seat at the table: Civil Society advocacy for budget transparency in “untransparent” countries, International Budget Partnership
The dates that mattered
23-24 May: New Extractive Industries Transparency Index standard adopted
30 May: Post 2015 high level report calling for a ‘data revolution’ is published
17-18 June: UK premier, David Cameron, campaigns for tax, trade and transparency during the G8
24 October: US Millenium Challenge Corporation tops the aid transparency index”
30 October – 1 November: Open Government Partnership in London gathers civil society, governments and data experts
Are Smart Cities Empty Hype?
Irving Wladawsky-Berger in the Wall Street Journal: “A couple of weeks ago I participated in an online debate sponsored by The Economist around the question: Are Smart Cities Empty Hype? Defending the motion was Anthony Townsend, research director at the Institute for the Future and adjunct faculty member at NYU’s Wagner School of Public Service. I took the opposite side, arguing the case against the motion.
The debate consisted of three phases spread out over roughly 10 days. We each first stated our respective positions in our opening statements, followed a few days later by our rebuttals, and then finally our closing statements. It was moderated by Ludwig Siegele, online business and finance editor at The Economist. Throughout the process, people were invited to vote on the motion, as well as to post their own comments.
The debate was inspired, I believe, by The Multiplexed Metropolis, an article Mr. Siegele published in the September 7 issue of The Economist which explored the impact of Big Data on cities. He wrote that the vast amounts of data generated by the many social interactions taking place in cities might lead to a kind of second electrification, transforming 21st century cities much as electricity did in the past. “Enthusiasts think that data services can change cities in this century as much as electricity did in the last one,” he noted. “They are a long way from proving their case.”
In my opening statement, I said that I strongly believe that digital technologies and the many data services they are enabling will make cities smarter and help transform them over time. My position is not surprising, given my affiliations with NYU’s Center for Urban Science and Progress (CUSP) and Imperial College’s Digital City Exchange, as well as my past involvements with IBM’s Smarter Cities and with Citigroup’s Citi for Cities initiatives. But, I totally understand why so many– almost half of those voting and quite a few who left comments–feel that smart cities are mostly hype. The case for smart cities is indeed far from proven.
Cities are the most complex social organisms created by humans. Just about every aspect of human endeavor is part of the mix of cities, and they all interact with each other leading to a highly dynamic system of systems. Moreover, each city has its own unique style and character. As is generally the case with transformative changes to highly complex systems, the evolution toward smart cities will likely take quite a bit longer than we anticipate, but the eventual impact will probably be more transformative than we can currently envision.
Electrification, for example, started in the U.S., Britain and other advanced nations around the 1880s and took decades to deploy and truly transform cities. The hype around smart cities that I worry the most about is underestimating their complexity and the amount of research, experimentation, and plain hard work that it will take to realize the promise. Smart cities projects are still in their very early stages. Some will work and some will fail. We have much to learn. Highly complex systems need time to evolve.
Commenting on the opening statements, Mr. Siegele noted: “Despite the motion being Are smart cities empty hype?, both sides have focused on whether these should be implemented top-down or bottom-up. Most will probably agree that digital technology can make cities smarter–meaning more liveable, more efficient, more sustainable and perhaps even more democratic. But the big question is how to get there and how smart cities will be governed.”…
Open Budgets Portal
About: “The Open Budgets Portal is the first effort to create a one-stop shop for budget data worldwide with the hope of bringing visibility to countries’ efforts in this field, facilitating access and promoting use of spending data, and motivating other countries into action.
The portal offers the opportunity to showcase a subset of developing countries and subnational entities (identified by blue markers in the map) that have excelled in the exploration of new frontiers of fiscal transparency by choosing to disseminate their entire public spending datasets in accessible formats (i.e., soft copy), with the expectation that these efforts could motivate other countries into action . Users will be able to download the entire public expenditure landscape of the members of the portal in consolidated files, all of which were rigorously collected, cleaned and verified through the BOOST Initiative.
For each of these countries, the site also includes links to their original open data portals, which provide additional important information (i.e., higher frequencies other than annual, links to output data and other socio economic indicators, etc.). While every effort has been done to certify the quality of these databases according to BOOST approach and methodology, users are encouraged to refer back to the country-owned open data portals to ensure complete consistency of data with published official figures, as well as consult accompanying user manuals for potential caveats on uses of the data.
This portal represents a starting point to build momentum within the growing interest around fiscal transparency and the importance of data for enhanced decision-making processes and improved budget outcomes and accountability. While most initiatives on open budgets rightfully center on availability of key documents, little focus has been given to the quality of data dissemination and to the importance of its analytical use for incorporation into evidence-based decision-making processes.
This Open Budgets Portal aims to fill this gap by providing access to budget data worldwide and particularly to the most disaggregated and comprehensive data collected through the BOOST Initiative. The portal combines this information with a variety of tools, manuals, reports and best practices aimed at stimulating use by intermediaries, as well as easier to interpret visualization for non-experts. Our objective is to encourage all potential uses of this data to unbind the analytical power of such data.
The Open Budgets Portal was launched at the event “Boosting Fiscal Transparency for Better Policy Outcomes,” held on December 17, 2013 in Washington, DC. The following presentations were shown at the event:
Presentation of the Open Budgets Portal by Massimo Mastruzzi, Senior Economist, Open Goverment, World Bank.
Building a Citizen’s Budget Understanding – BudgetStories.md by Victoria Vlad, Economist of “Expert-Grup” from the Republic of Moldova.”
Selected Readings on Data Visualization
The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of data visualization was originally published in 2013.
Data visualization is a response to the ever-increasing amount of information in the world. With big data, informatics and predictive analytics, we have an unprecedented opportunity to revolutionize policy-making. Yet data by itself can be overwhelming. New tools and techniques for visualizing information can help policymakers clearly articulate insights drawn from data. Moreover, the rise of open data is enabling those outside of government to create informative and visually arresting representations of public information that can be used to support decision-making by those inside or outside governing institutions.
Selected Reading List (in alphabetical order)
- D.J. Duke, K.W. Brodlie, D.A. Duce and I. Herman — Do You See What I Mean? [Data Visualization] — a paper arguing for a systematic ontology for data visualization.
- Michael Friendly — A Brief History of Data Visualization – a brief overview of the history of data visualization that traces the path from early cartography and statistical graphics to modern visualization practices.
- Alvaro Graves and James Hendler — Visualization Tools for Open Government Data — a paper arguing for wider use of visualization tools to open government data achieve its full potential for impact.
- César A. Hidalgo — Graphical Statistical Methods for the Representation of the Human Development Index and Its Components — an argument for visualizing complex data to aid in human development initiatives.
- Genie Stowers — The Use of Data Visualization in Government — a report aimed at helping public sector managers make the most of data visualization tools and practices.
Annotated Selected Reading List (in alphabetical order)
Duke, D.J., K.W. Brodlie, D.A. Duce and I. Herman. “Do You See What I Mean? [Data Visualization].” IEEE Computer Graphics and Applications 25, no. 3 (2005): 6–9. http://bit.ly/1aeU6yA.
- In this paper, the authors argue that a more systematic ontology for data visualization to ensure the successful communication of meaning. “Visualization begins when someone has data that they wish to explore and interpret; the data are encoded as input to a visualization system, which may in its turn interact with other systems to produce a representation. This is communicated back to the user(s), who have to assess this against their goals and knowledge, possibly leading to further cycles of activity. Each phase of this process involves communication between two parties. For this to succeed, those parties must share a common language with an agreed meaning.”
- That authors “believe that now is the right time to consider an ontology for visualization,” and “as visualization move from just a private enterprise involving data and tools owned by a research team into a public activity using shared data repositories, computational grids, and distributed collaboration…[m]eaning becomes a shared responsibility and resource. Through the Semantic Web, there is both the means and motivation to develop a shared picture of what we see when we turn and look within our own field.”
Friendly, Michael. “A Brief History of Data Visualization.” In Handbook of Data Visualization, 15–56. Springer Handbooks Comp.Statistics. Springer Berlin Heidelberg, 2008. http://bit.ly/17fM1e9.
- In this paper, Friendly explores the “deep roots” of modern data visualization. “These roots reach into the histories of the earliest map making and visual depiction, and later into thematic cartography, statistics and statistical graphics, medicine and other fields. Along the way, developments in technologies (printing, reproduction), mathematical theory and practice, and empirical observation and recording enabled the wider use of graphics and new advances in form and content.”
- Just as the general the visualization of data is far from a new practice, Friendly shows that the graphical representation of government information has a similarly long history. “The collection, organization and dissemination of official government statistics on population, trade and commerce, social, moral and political issues became widespread in most of the countries of Europe from about 1825 to 1870. Reports containing data graphics were published with some regularity in France, Germany, Hungary and Finland, and with tabular displays in Sweden, Holland, Italy and elsewhere.”
Graves, Alvaro and James Hendler. “Visualization Tools for Open Government Data.” In Proceedings of the 14th Annual International Conference on Digital Government Research, 136–145. Dg.o ’13. New York, NY, USA: ACM, 2013. http://bit.ly/1eNSoXQ.
- In this paper, the authors argue that, “there is a gap between current Open Data initiatives and an important part of the stakeholders of the Open Government Data Ecosystem.” As it stands, “there is an important portion of the population who could benefit from the use of OGD but who cannot do so because they cannot perform the essential operations needed to collect, process, merge, and make sense of the data. The reasons behind these problems are multiple, the most critical one being a fundamental lack of expertise and technical knowledge. We propose the use of visualizations to alleviate this situation. Visualizations provide a simple mechanism to understand and communicate large amounts of data.”
- The authors also describe a prototype of a tool to create visualizations based on OGD with the following capabilities:
- Facilitate visualization creation
- Exploratory mechanisms
- Viralization and sharing
- Repurpose of visualizations
Hidalgo, César A. “Graphical Statistical Methods for the Representation of the Human Development Index and Its Components.” United Nations Development Programme Human Development Reports, September 2010. http://bit.ly/166TKur.
- In this paper for the United Nations Human Development Programme, Hidalgo argues that “graphical statistical methods could be used to help communicate complex data and concepts through universal cognitive channels that are heretofore underused in the development literature.”
- To support his argument, representations are provided that “show how graphical methods can be used to (i) compare changes in the level of development experienced by countries (ii) make it easier to understand how these changes are tied to each one of the components of the Human Development Index (iii) understand the evolution of the distribution of countries according to HDI and its components and (iv) teach and create awareness about human development by using iconographic representations that can be used to graphically narrate the story of countries and regions.”
Stowers, Genie. “The Use of Data Visualization in Government.” IBM Center for The Business of Government, Using Technology Series, 2013. http://bit.ly/1aame9K.
- This report seeks “to help public sector managers understand one of the more important areas of data analysis today — data visualization. Data visualizations are more sophisticated, fuller graphic designs than the traditional spreadsheet charts, usually with more than two variables and, typically, incorporating interactive features.”
- Stowers also offers numerous examples of “visualizations that include geographical and health data, or population and time data, or financial data represented in both absolute and relative terms — and each communicates more than simply the data that underpin it. In addition to these many examples of visualizations, the report discusses the history of this technique, and describes tools that can be used to create visualizations from many different kinds of data sets.”
NESTA: 14 predictions for 2014
NESTA: “Every year, our team of in-house experts predicts what will be big over the next 12 months.
This year we set out our case for why 2014 will be the year we’re finally delivered the virtual reality experience we were promised two decades ago, the US will lose technological control of the Internet, communities will start crowdsourcing their own political representatives and we’ll be introduced to the concept of extreme volunteering – plus 10 more predictions spanning energy, tech, health, data, impact investment and social policy…
People powered data
The growing movement to take back control of personal data will reach a tipping point, says Geoff Mulgan
2014 will be the year when citizens start to take control over their own data. So far the public has accepted a dramatic increase in use of personal data because it doesn’t impinge much on freedom, and helps to give us a largely free internet.
But all of that could be about to change. Edward Snowden’s NSA revelations have fuelled a growing perception that the big social media firms are cavalier with personal data (a perception not helped by Facebook and Google’s recent moves to make tracking cookies less visible) and the Information Commissioner has described the data protection breaches of many internet firms, banks and others as ‘horrifying’.
According to some this doesn’t matter. Scott McNealy of Sun Microsystems famously dismissed the problem: “you have zero privacy anyway. Get over it.” Mark Zuckerberg claims that young people no longer worry about making their lives transparent. We’re willing to be digital chattels so long as it doesn’t do us any visible harm.
That’s the picture now. But the past isn’t always a good guide to the future. More digitally savvy young people put a high premium on autonomy and control, and don’t like being the dupes of big organisations. We increasingly live with a digital aura alongside our physical identity – a mix of trails, data, pictures. We will increasingly want to shape and control that aura, and will pay a price if we don’t.
That’s why the movement for citizen control over data has gathered momentum. It’s 30 years since Germany enshrined ‘informational self-determination’ in the constitution and other countries are considering similar rules. Organisations like Mydex and Qiy now give users direct control over a store of their personal data, part of an emerging sector of Personal Data Stores, Privacy Dashboards and even ‘Life Management Platforms’. …
In the UK, the government-backed Midata programme is encouraging firms to migrate data back to public control, while the US has introduced green, yellow and blue buttons to simplify the option of taking back your data (in energy, education and the Veterans Administration respectively). Meanwhile a parallel movement encourages people to monetise their own data – so that, for example, Tesco or Experian would have to pay for the privilege of making money out of analysing your purchases and behaviours.
When people are shown what really happens to their data now they are shocked. That’s why we may be near a tipping point. A few more scandals could blow away any remaining complacency about the near future world of ubiquitous facial recognition software (Google Glasses and the like), a world where more people are likely to spy on their neighbours, lovers and colleagues.
The crowdsourced politician
But all of that could be about to change. Edward Snowden’s NSA revelations have fuelled a growing perception that the big social media firms are cavalier with personal data (a perception not helped by Facebook and Google’s recent moves to make tracking cookies less visible) and the Information Commissioner has described the data protection breaches of many internet firms, banks and others as ‘horrifying’.
According to some this doesn’t matter. Scott McNealy of Sun Microsystems famously dismissed the problem: “you have zero privacy anyway. Get over it.” Mark Zuckerberg claims that young people no longer worry about making their lives transparent. We’re willing to be digital chattels so long as it doesn’t do us any visible harm.
That’s the picture now. But the past isn’t always a good guide to the future. More digitally savvy young people put a high premium on autonomy and control, and don’t like being the dupes of big organisations. We increasingly live with a digital aura alongside our physical identity – a mix of trails, data, pictures. We will increasingly want to shape and control that aura, and will pay a price if we don’t.
That’s why the movement for citizen control over data has gathered momentum. It’s 30 years since Germany enshrined ‘informational self-determination’ in the constitution and other countries are considering similar rules. Organisations like Mydex and Qiy now give users direct control over a store of their personal data, part of an emerging sector of Personal Data Stores, Privacy Dashboards and even ‘Life Management Platforms’. …
In the UK, the government-backed Midata programme is encouraging firms to migrate data back to public control, while the US has introduced green, yellow and blue buttons to simplify the option of taking back your data (in energy, education and the Veterans Administration respectively). Meanwhile a parallel movement encourages people to monetise their own data – so that, for example, Tesco or Experian would have to pay for the privilege of making money out of analysing your purchases and behaviours.
When people are shown what really happens to their data now they are shocked. That’s why we may be near a tipping point. A few more scandals could blow away any remaining complacency about the near future world of ubiquitous facial recognition software (Google Glasses and the like), a world where more people are likely to spy on their neighbours, lovers and colleagues.
The crowdsourced politician
This year we’ll see the rise of the crowdsourced independent parliamentary candidate, says Brenton Caffin
…In response, existing political institutions have sought to improve feedback between the governing and the governed through the tentative embrace of crowdsourcing methods, ranging from digital engagement strategies, open government challenges, to the recent stalled attempt to embrace open primaries by the Conservative Party (Iceland has been braver by designing its constitution by wiki). Though for many, these efforts are both too little and too late. The sense of frustration that no political party is listening to the real needs of people is probably part of the reason Russell Brand’s interview with Jeremy Paxman garnered nine million views in its first month on YouTube.…
However a glimpse of an alternative approach may have arrived courtesy of the 2013 Australian Federal Election.
Tired of being taken for granted by the local MP, locals in the traditionally safe conservative seat of Indi embarked on a structured process of community ‘kitchen table’ conversations to articulate an independent account of the region’s needs. The community group, Voice for Indi, later nominated its chair, Cath McGowan, as an independent candidate. It crowdfunded their campaign finances and built a formidable army of volunteers through a sophisticated social media operation….
The rise of ‘extreme’ volunteering
However a glimpse of an alternative approach may have arrived courtesy of the 2013 Australian Federal Election.
Tired of being taken for granted by the local MP, locals in the traditionally safe conservative seat of Indi embarked on a structured process of community ‘kitchen table’ conversations to articulate an independent account of the region’s needs. The community group, Voice for Indi, later nominated its chair, Cath McGowan, as an independent candidate. It crowdfunded their campaign finances and built a formidable army of volunteers through a sophisticated social media operation….
The rise of ‘extreme’ volunteering
By the end of 2014 the concept of volunteering will move away from the soup kitchen and become an integral part of how our communities operate, says Lindsay Levkoff Lynn
…Extreme volunteering is about regular people going beyond the usual levels of volunteering. It is a deeper and more intensive form of volunteering, and I predict we will see more of these amazing commitments of ‘people helping people’ in the years to come.
Let me give you a few early examples of what we are already starting to see in the UK:
Let me give you a few early examples of what we are already starting to see in the UK:
- Giving a whole year of your life in service of kids. That’s what City Year volunteers do – Young people (18-25) dedicate a year, full-time, before university or work to support head teachers in turning around the behaviour and academics of some of the most underprivileged UK schools.
- Giving a stranger a place to live and making them part of your family. That’s what Shared Lives Plus carers do. They ‘adopt’ an older person or a person with learning disabilities and offer them a place in their family. So instead of institutional care, families provide the full-time care – much like a ‘fostering for adults’ programme. Can you imagine inviting someone to come and live with you?…
AU: Govt finds one third of open data was "junk"
IT News: “The number of datasets available on the Government’s open data website has slimmed by more than half after the agency discovered one third of the datasets were junk.
Since its official launch in 2011 data.gov.au grew to hold 1200 datasets from government agencies for public consumption.
In July this year the Deaprtment of Finance migrated the portal to a new open source platform – the Open Knowledge Foundation CKAN platform – for greater ease of use and publishing ability.
Since July the number of datasets fell from 1200 to 500.
Australian Government CTO John Sheridan said in his blog late yesterday the agency had needed to review the 1200 datasets as a result of the CKAN migration, and discovered a significant amount of them were junk.
“We unfortunately found that a third of the “datasets” were just links to webpages or files that either didn’t exist anymore, or redirected somewhere not useful to genuine seekers of data,” Sheridan said.
“In the second instance, the original 1200 number included each individual file. On the new platform, a dataset may have multiple files. In one case we have a dataset with 200 individual files where before it was counted as 200 datasets.”
The number of datasets following the clean out now sits at 529. Around 123 government bodies contributed data to the portal.
Sheridan said the number was still too low.
“A lot of momentum has built around open data in Australia, including within governments around the country and we are pleased to report that a growing number of federal agencies are looking at how they can better publish data to be more efficient, improve policy development and analysis, deliver mobile services and support greater transparency and public innovation,” he said….
The Federal Government’s approach to open data has previously been criticised as “patchy” and slow, due in part to several shortcomings in the data.gov.au website as well as slow progress in agencies adopting an open approach by default.
The Australian Information Commissioner’s February report on open data in government outlined the manual uploading and updating of datasets, lack of automated entry for metadata and a lack of specific search functions within data.gov.au as obstacles affecting the efforts pushing a whole-of-government approach to open data.
The introduction of the new CKAN platform is expected to go some way to addressing the highlighted concerns.”
Ten thoughts for the future
The Economist: “CASSANDRA has decided to revisit her fellow forecasters Thomas Malnight and Tracey Keys to find out what their predictions are for 2014. Once again they have produced a collection of trends for the year ahead, in their “Global Trends Report”.
The possibilities of mind control seem alarming ( point 6) as do the implications of growing income inequality (point 10). Cassandra also hopes that “unemployability” and “unemployerability”, as discussed in point 9, are contested next year (on both linguistic and social fronts).
Nevertheless, the forecasts make for intriguing reading and highlights appear below.
1. From social everything to being smart socially
Social technologies are everywhere, but these vast repositories of digital “stuff” bury the exceptional among the unimportant. It’s time to get socially smart. Users are moving to niche networks to bring back the community feel and intelligence to social interactions. Businesses need to get smarter about extracting and delivering value from big data including challenging business models. For social networks, mobile is the great leveller. Competition for attention with other apps will intensify the battle to own key assets from identity to news sharing, demanding radical reinvention.
2. Information security: The genie is out of the bottle
Thought your information was safe? Think again. The information security genie is out of the bottle as cyber-surveillance and data mining by public and private organizations increases – and don’t forget criminal networks and whistleblowers. It will be increasingly hard to tell friend from foe in cyberspace as networks build artificial intelligence to decipher your emotions and smart cities track your every move. Big brother is here: Protecting identity, information and societies will be a priority for all.
3. Who needs shops anyway?
Retailers are facing a digitally driven perfect storm. Connectivity, rising consumer influence, time scarcity, mobile payments, and the internet of things, are changing where, when and how we shop – if smart machines have not already done the job. Add the sharing economy, driven by younger generations where experience and sustainable consumption are more important than ownership, and traditional retail models break down. The future of shops will be increasingly defined by experiential spaces offering personalized service, integrated online and offline value propositions, and pop-up stores to satisfy demands for immediacy and surprise.
4. Redistributing the industrial revolution
Complex, global value chains are being redistributed by new technologies, labour market shifts and connectivity. Small-scale manufacturing, including 3D and soon 4D printing, and shifting production economics are moving production closer to markets and enabling mass customization – not just by companies but by the tech-enabled maker movement which is going mainstream. Rising labour costs in developing markets, high unemployment in developed markets, global access to online talent and knowledge, plus advances in robotics mean reshoring of production to developed markets will increase. Mobility, flexibility and networks will define the future industrial landscape.
5. Hubonomics: The new face of globalization
As production and consumption become more distributed, hubs will characterize the next wave of “globalization.” They will specialize to support the needs of growing regional trade, emerging city states, on-line communities of choice, and the next generation of flexible workers and entrepreneurs. Underpinning these hubs will be global knowledge networks and new business and governance models based on hubonomics™, that leverage global assets and hub strengths to deliver local value.
6. Sci-Fi is here: Making the impossible possible
Cross-disciplinary approaches and visionary entrepreneurs are driving scientific breakthroughs that could change not just our lives and work but our bodies and intelligence. Labs worldwide are opening up the vast possibilities of mind control and artificial intelligence, shape-shifting materials and self-organizing nanobots, cyborgs and enhanced humans, space exploration, and high-speed, intelligent transportation. Expect great debate around the ethics, financing, and distribution of public and private benefits of these advances – and the challenge of translating breakthroughs into replicable benefits.
7. Growing pains: Transforming markets and generations
The BRICS are succumbing to Newton’s law of gravitation: Brazil’s lost it, India’s losing it, China’s paying the price for growth, Russia’s failing to make a superpower come-back, and South Africa’s economy is in disarray. In other developing markets currencies have tumbled, Arab Spring governments are still in turmoil and social unrest is increasing along with the number of failing states. But the BRICS & Beyond growth engine is far from dead. Rather it is experiencing growing pains which demand significant shifts in governance, financial systems, education and economic policies to catch up. The likely transformers will be younger generations who aspire to greater freedom and quality of life than their parents.
8. Panic versus denial: The resource gap grows, the global risks rise – but who is listening?
The complex nexus of food, water, energy and climate change presents huge global economic, environmental and societal challenges – heating up the battle to access new resources from the Arctic to fracking. Risks are growing, even as multilateral action stalls. It’s a crisis of morals, governance, and above all marketing and media, pitting crisis deniers against those who recognize the threats but are communicating panic versus reasoned solutions. Expect more debate and calls for responsible capitalism – those that are listening will be taking action at multiple levels in society and business.
9. Fighting unemployability and unemployerability
Companies are desperate for talented workers – yet unemployment rates remain high. Polarization towards higher and lower skill levels is squeezing mid-level jobs, even as employers complain that education systems are not preparing students for the jobs of the future. Fighting unemployability is driving new government-business partnerships worldwide, and will remain a critical issue given massive youth unemployment. Employers must also focus on organizational unemployerability – not being able to attract and retain desired talent – as new generations demand exciting and meaningful work where they can make an impact. If they can’t find it, they will quickly move on or swell the growing ranks of young entrepreneurs.
10. Surviving in a bipolar world: From expecting consistency to embracing ambiguity
Life is not fair, nor is it predictable. Income inequality is growing. Intolerance and nationalism are rising but interdependence is the currency of a connected world. Pressure on leaders to deliver results today is intense but so too is the need for fundamental change to succeed in the long term. The contradictions of leadership and life are increasing faster than our ability to reconcile the often polarized perspectives and values each embodies. Increasingly, they are driving irrational acts of leadership (think the US debt ceiling), geopolitical, social and religious tensions, and individual acts of violence. Surviving in this world will demand stronger, responsible leadership comfortable with and capable of embracing ambiguity and uncertainty, as opposed to expecting consistency and predictability.”