Open government: a new paradigm in social change?

Curated on Posted on by Stefaan Verhulst

Rosie Williams: In a recent speech to the Australian and New Zealand School of Government (ANSOG) annual conference, technology journalist and academic Suelette Drefyus explained the growing ‘information asymmetry’ that characterises the current-day relationship between government and citizenry.

According to Dreyfus:

‘Big Data makes government very powerful in its relationship with the citizen. This is even more so with the rise of intelligent systems, software that increasingly trawls, matches and analyses that Big Data. And it is moving toward making more decisions once made by human beings.’

The role of technology in the delivery of government services gives much food for thought in terms of both its implications for potential good and the potential dangers it may pose. The concept of open government is an important one for the future of policy and democracy in Australia. Open government has at its core a recognition that the world has changed, that the ways people engage and who they engage with has transformed in ways that governments around the world must respond to in both technological and policy terms.

As described in the ANSOG speech, the change within government in how it uses technology is well underway, however in many regards we are at the very beginning of understanding and implementing the potential of data and technology in providing solutions to many of our shared problems. Australia’s pending membership of the Open Government Partnership is integral to how Australia responds to these challenges. Membership of the multi-lateral partnership requires the Australian government to create a National Action Plan based on consultation and demonstrate our credentials in the areas of Fiscal Transparency, Access to Information, Income and Asset Disclosure, and Citizen Engagement.

What are the implications of the National Action Plan for policy consultation formulation, implementation and evaluation? In relative terms, Australia’s history with open government is fairly recent. Policies on open data have seen the roll out of data.gov.au – a repository of data published by government agencies and made available for re-use in efforts such as the author’s own financial transparency site OpenAus.

In this way citizen activity and government come together for the purposes of achieving open government. These efforts express a new paradigm in government and activism where the responsibility for solving the problems of democracy are shared between government and the people as opposed to the government ‘solving’ the problems of a passive, receptive citizenry.

As the famous whistle-blowers have shown, citizens are no longer passive but this new capability also requires a consciousness of the responsibilities and accountability that go along with the powers newly developed by citizen activists through technological change.

The opening of data and communication channels in the formulation of public policy provides a way forward to create both a better informed citizenry and also better informed policy evaluation. When new standards of transparency are applied to wicked problems what shortcomings does this highlight?

This question was tested with my recent request for a basic fact missing from relevant government research and reviews but key to social issues of homelessness and domestic violence….(More)”

Digital Continuity 2020

Curated on Posted on by Stefaan Verhulst

National Archives of Australia: “The Digital Continuity 2020 Policy is a whole-of-government approach to digital information governance. It complements the Australian Government’s digital transformation agenda and underpins the digital economy. The policy aims to support efficiency, innovation, interoperability, information re-use and accountability by integrating robust digital information management into all government business processes.

The policy is based on three principles, and for each of them identifies what success looks like and the targets that agencies should reach by 2020. All Digital Continuity 2020 targets are expected to be achieved as part of normal business reviews and ongoing technology maintenance and investment cycles.

The principles

Principle 1 – Information is valued

Focus on governance and people

Agencies will manage their information as an asset, ensuring that it is created, stored and managed for as long as it is required, taking into account business requirements and other needs and risks.
Case study – Parliamentary Budget Office

Principle 2 – Information is managed digitally

Focus on digital assets and processes

Agencies will transition to entirely digital work processes, meaning business processes including authorisations and approvals are completed digitally, and that information is created and managed in digital format.
Case study – Federal Court of Australia

Principle 3 – Information, systems and processes are interoperable

Focus on metadata and standards

Agencies will have interoperable information, systems and processes to improve information quality and enable information to be found, managed, shared and re-used easily and efficiently.
Case study – Opening government data with the NationalMap

View the Digital Continuity 2020 Policy. (More)“

Introducing Government as a Platform

Curated on Posted on by Stefaan Verhulst

Peter Williams, Jan Gravesen and Trinette Brownhill in Government Executive: “Governments around the world are facing competitive pressures and expectations from their constituents that are prompting them to innovate and dissolve age-old structures. Many governments have introduced a digital strategy in which at least one of the goals is aimed at bringing their organizations closer to citizens and businesses.

To achieve this, ideally IT and data in government would not be constrained by the different functional towers that make up the organization, as is often the case. They would not be constrained by complex, monolithic application design philosophies and lengthy implementation cycles, nor would development be constrained by the assumption that all activity has to be executed by the government itself.

Instead, applications would be created rapidly and cheaply, and modules would be shared as reusable blocks of code and integrated data. It would be relatively straightforward to integrate data from multiple departments to enable a focus on the complex needs of, say, a single parent who is diabetic and a student. Delivery would be facilitated in the manner best required, or preferred, by the citizen. Third parties would also be able to access these modules of code and data to build higher value government services that multiple agencies would then buy into. The code would run on a cloud infrastructure that maximizes the efficiency in which processing resources are used.

GaaP an organized set of ideas and principles that allows organizations to approach these ideals. It allows governments to institute more efficient sharing of IT resources as well as unlock data and functionality via application programming interfaces to allow third parties to build higher value citizen services. In doing so, security plays a crucial role protecting the privacy of constituents and enterprise assets.

We see increasingly well-established examples of GaaP services in many parts of the world. The notion has significantly influenced strategic thinking in the UK, Australia, Denmark, Canada and Singapore. In particular, it has evolved in a deliberate way in the UK’s Government Data Services, building on the Blairite notion of “joined up government”; in Australia’s e-government strategy and its myGov program; and as a significant influencer in Singapore’s entire approach to building its “smarter nation” infrastructure.

Collaborative Government

GaaP assumes a transformational shift in efficiency, effectiveness and transparency, in which agencies move toward a collaborative government and away from today’s siloed approach. That collaboration may be among agencies, but also with other entities (nongovernmental organizations, the private sector, citizens, etc.).

GaaP’s focus on collaboration enables public agencies to move away from their traditional towered approach to IT and increasingly make use of shared and composable services offered by a common – usually a virtualized, cloud-enabled – platform. This leads to more efficient use of development resources, platforms and IT support. We are seeing examples of this already with a group of townships in New York state and also with two large Spanish cities that are embarking on this approach.

While efficient resource and service sharing is central to the idea of GaaP, it is not sufficient. The idea is that GaaP must allow app developers, irrespective of whether they are citizens, private organizations or other public agencies, to develop new value-added services using published government data and APIs. In this sense, the platform becomes a connecting layer between public agencies’ systems and data on the one hand, and private citizens, organizations and other public agencies on the other.

In its most fundamental form, GaaP is able to:

  • Consume data and government services from existing departmental systems.
  • Consume syndicated services from platform-as-a-service or software-as-a-service providers in the public marketplace.
  • Securely unlock these data and services and allow third parties –citizens, private organizations or other agencies – to combine services and data into higher-order services or more citizen-centric or business-centric services.

It is the openness, the secure interoperability, and the ability to compose new services on the basis of existing services and data that define the nature of the platform.

The Challenges

At one time, the challenge of creating a GaaP structure would have been technology: Today, it is governance….(More)”

A matter of public trust: measuring how government performs

Curated on Posted on by Stefaan Verhulst

Gai Brodtmann at the Sydney Morning Herald:”…Getting trust is hard. Losing it is easy. And the work of maintaining trust in our democracy, and the public institutions it rests on, is constant, quiet and careful.

That trust is built on accountability and transparency. It relies on an assurance that government programs are well managed and delivered efficiently and effectively to give the best results for Australians.

And it demands impartial adjudicators to provide that assurance.

The first is getting the metrics, the key performance indicators, right. The indicators should be a fundamental way of judging whether a program is being implemented effectively and achieving its aims. If significant variations from expected performance are observed, it’s a sure sign that closer examination of the program is needed.

A lot of effort has gone into indicators in recent years. Progress has been made, but everyone recognises the issue is complex. Establishing meaningful indicators, which are aligned across and up and down agencies, and become business as usual, is not easy. And it cannot be done independently of other public sector reform.

Cultural change is inevitably at the heart of all these discussions and two aspects of that strike me. The first is risk-aversion. The second is the silo problem.

A crucial challenge in overcoming a too-timid approach to doing business is that we do not, on the whole, have incentives in the system that encourage taking risks. In fact, many of the incentives do the opposite….

But a more balanced risk-management culture will only germinate if both the government and the Parliament – including its committees – change their ways to recognise that innovative policy design and complex program implementation needs to embrace risk to be successful.

The second aspect of cultural change is the problem of too many silos. Perhaps, in some simpler past, public service agencies could generally operate with exclusive rights and functions within their own well-defined boundaries. But as social and economic challenges become more complex, this isn’t feasible.

Modern government in Australia is still coming to grips with this new imperative. Programs often involve multi-agency collaboration across jurisdictions, where the boundaries are well and truly crossed both within jurisdictions and across them. Unsurprisingly, ensuring a consistent approach and assessing outcomes has been difficult to achieve.

Collaboration between different entities is not strange to the private sector. One lesson we can draw is that, in collaborations, it is important to have a clear line of authority and control….(More)”

Why interdisciplinary research matters

Curated on Posted on by Stefaan Verhulst

Special issue of Nature: “To solve the grand challenges facing society — energy, water, climate, food, health — scientists and social scientists must work together. But research that transcends conventional academic boundaries is harder to fund, do, review and publish — and those who attempt it struggle for recognition and advancement (see World View, page 291). This special issue examines what governments, funders, journals, universities and academics must do to make interdisciplinary work a joy rather than a curse.

A News Feature on page 308 asks where the modern trend for interdisciplinary research came from — and finds answers in the proliferation of disciplines in the twentieth century, followed by increasingly urgent calls to bridge them. An analysis of publishing data explores which fields and countries are embracing interdisciplinary research the most, and what impact such research has (page 306). Onpage 313, Rick Rylance, head of Research Councils UK and himself a researcher with one foot in literature and one in neuroscience, explains why interdisciplinarity will be the focus of a 2015–16 report from the Global Research Council. Around the world, government funding agencies want to know what it is, whether they should they invest in it, whether they are doing so effectively and, if not, what must change.

How can scientists successfully pursue research outside their comfort zone? Some answers come from Rebekah Brown, director of Monash University’s Monash Sustainability Institute in Melbourne, Australia, and her colleagues. They set out five principles for successful interdisciplinary working that they have distilled from years of encouraging researchers of many stripes to seek sustainability solutions (page 315). Similar ideas help scientists, curators and humanities scholars to work together on a collection that includes clay tablets, papyri, manuscripts and e-mail archives at the John Rylands Research Institute in Manchester, UK, reveals its director, Peter Pormann, on page 318.

Finally, on page 319, Clare Pettitt reassesses the multidisciplinary legacy of Richard Francis Burton — Victorian explorer, ethnographer, linguist and enthusiastic amateur natural scientist who got some things very wrong, but contributed vastly to knowledge of other cultures and continents. Today’s would-be interdisciplinary scientists can draw many lessons from those of the past — and can take our polymathy quiz online at nature.com/inter. (Nature special:Interdisciplinarity)

Index: Crime and Criminal Justice Data

Curated on Posted on by Ryan Sibley

The Living Library Index – inspired by the Harper’s Index – provides important statistics and highlights global trends in governance innovation. This installment focuses on crime and criminal justice data and was originally published in 2015.

This index provides information about the type of crime and criminal justice data collected, shared and used in the United States. Because it is well known that data related to the criminal justice system is often times unreliable, or just plain missing, this index also highlights some of the issues that stand in the way of accessing useful and in-demand statistics.

Data Collections: National Crime Statistics

  • Number of incident-based crime datasets created by the Federal Bureau of Investigation (FBI): 2
    • Number of U.S. Statistical Agencies: 13
    • How many of those are focused on criminal justice: 1, the Bureau of Justice Statistics (BJS)
    • Number of data collections focused on criminal justice the BJS produces: 61
    • Number of federal-level APIs available for crime or criminal justice data: 1, the National Crime Victimization Survey (NCVS).
    • Frequency of the NCVS: annually
  • Number of Statistical Analysis Centers (SACs), organizations that are essentially clearinghouses for crime and criminal justice data for each state, the District of Columbia, Puerto Rico and the Northern Mariana Islands: 53

Open data, data use and the impact of those efforts

  • Number of datasets that are returned when “criminal justice” is searched for on Data.gov: 417, including federal-, state- and city-level datasets
  • Number of datasets that are returned when “crime” is searched for on Data.gov: 281
  • The percentage that public complaints dropped after officers started wearing body cameras, according to a study done in Rialto, Calif.: 88
  • The percentage that reported incidents of officer use of force fell after officers started wearing body cameras, according to a study done in Rialto, Calif.: 5
  • The percent that crime decreased during an experiment in predictive policing in Shreveport, LA: 35  
  • Number of crime data sets made available by the Seattle Police Department – generally seen as a leader in police data innovation – on the Seattle.gov website: 4
    • Major crime stats by category in aggregate
    • Crime trend reports
    • Precinct data by beat
    • State sex offender database
  • Number of datasets mapped by the Seattle Police Department: 2:
      • 911 incidents
    • Police reports
  • Number of states where risk assessment tools must be used in pretrial proceedings to help determine whether an offender is released from jail before a trial: at least 11.

Police Data

    • Number of federally mandated databases that collect information about officer use of force or officer involved shootings, nationwide: 0
    • The year a crime bill was passed that called for data on excessive force to be collected for research and statistical purposes, but has never been funded: 1994
    • Number of police departments that committed to being a part of the White House’s Police Data Initiative: 21
    • Percentage of police departments surveyed in 2013 by the Office of Community Oriented Policing within the Department of Justice that are not using body cameras, therefore not collecting body camera data: 75

The criminal justice system

  • Parts of the criminal justice system where data about an individual can be created or collected: at least 6
    • Entry into the system (arrest)
    • Prosecution and pretrial
    • Sentencing
    • Corrections
    • Probation/parole
    • Recidivism

Sources

  • Crime Mapper. Philadelphia Police Department. Accessed August 24, 2014.

The Trouble With Disclosure: It Doesn’t Work

Curated on Posted on by Stefaan Verhulst

Jesse Eisinger at ProPublica: “Louis Brandeis was wrong. The lawyer and Supreme Court justice famously declared that sunlight is the best disinfectant, and we have unquestioningly embraced that advice ever since.

 Over the last century, disclosure and transparency have become our regulatory crutch, the answer to every vexing problem. We require corporations and government to release reams of information on food, medicine, household products, consumer financial tools, campaign finance and crime statistics. We have a booming “report card” industry for a range of services, including hospitals, public schools and restaurants.

All this sunlight is blinding. As new scholarship is demonstrating, the value of all this information is unproved. Paradoxically, disclosure can be useless — and sometimes actually harmful or counterproductive.

“We are doing disclosure as a regulatory move all over the board,” says Adam J. Levitin, a law professor at Georgetown, “The funny thing is, we are doing this despite very little evidence of its efficacy.”

Let’s start with something everyone knows about — the “terms of service” agreements for the likes of iTunes. Like everybody else, I click the “I agree” box, feeling a flash of resentment. I’m certain that in Paragraph 184 is a clause signing away my firstborn to a life of indentured servitude to Timothy D. Cook as his chief caviar spoon keeper.

Our legal theoreticians have determined these opaque monstrosities work because someone, somewhere reads the fine print in these contracts and keeps corporations honest. It turns out what we laymen intuit is true: No one reads them, according to research by a New York University law professor, Florencia Marotta-Wurgler.

In real life, there is no critical mass of readers policing the agreements. And if there were an eagle-eyed crew of legal experts combing through these agreements, what recourse would they have? Most people don’t even know that the Supreme Court has gutted their rights to sue in court, and they instead have to go into arbitration, which usually favors corporations.

The disclosure bonanza is easy to explain. Nobody is against it. It’s politically expedient. Companies prefer such rules, especially in lieu of actual regulations that would curtail bad products or behavior. The opacity lobby — the remora fish class of lawyers, lobbyists and consultants in New York and Washington — knows that disclosure requirements are no bar to dodgy practices. You just have to explain what you’re doing in sufficiently incomprehensible language, a task that earns those lawyers a hefty fee.

Of course, some disclosure works. Professor Levitin cites two examples. The first is an olfactory disclosure. Methane doesn’t have any scent, but a foul smell is added to alert people to a gas leak. The second is ATM. fees. A study in Australia showed that once fees were disclosed, people avoided the high-fee machines and took out more when they had to go to them.

But to Omri Ben-Shahar, co-author of a recent book, ” More Than You Wanted To Know: The Failure of Mandated Disclosure,” these are cherry-picked examples in a world awash in useless disclosures. Of course, information is valuable. But disclosure as a regulatory mechanism doesn’t work nearly well enough, he argues….(More)

From Governmental Open Data Toward Governmental Open Innovation (GOI)

Curated on Posted on by Stefaan Verhulst

Chapter by Daniele Archibugi et al in The Handbook of Global Science, Technology, and Innovation: “Today, governments release governmental data that were previously hidden to the public. This democratization of governmental open data (OD) aims to increase transparency but also fuels innovation. Indeed, the release of governmental OD is a global trend, which has evolved into governmental open innovation (GOI). In GOI, governmental actors purposively manage the knowledge flows that span organizational boundaries and reveal innovation-related knowledge to the public with the aim to spur innovation for a higher economic and social welfare at regional, national, or global scale. GOI subsumes different revealing strategies, namely governmental OD, problem, and solution revealing. This chapter introduces the concept of GOI that has evolved from global OD efforts. It present a historical analysis of the emergence of GOI in four different continents, namely, Europe (UK and Denmark), North America (United States and Mexico), Australia, and China to highlight the emergence of GOI at a global scale….(More)”

Transforming Government Information

Curated on Posted on by Stefaan Verhulst

Sharyn Clarkson at the (Interim) Digital Transformation Office (Australia): “Our challenge: How do we get the right information and services to people when and where they need it?

The public relies on Government for a broad range of information – advice for individuals and businesses, what services are available and how to access them, and how various rules and laws impact our lives.

The government’s digital environment has grown organically over the last couple of decades. At the moment, information is largely created and managed within agencies and published across more than 1200 disparate gov.au websites, plus a range of social media accounts, apps and other digital formats.

This creates some difficulties for people looking for government information. By publishing within agency silos we are presenting people with an agency-centric view of government information. This is a problem because people largely don’t understand or care about how government organises itself and the structure of government does not map to the needs of people. Having a baby or travelling overseas? Up to a dozen government agencies may have information relevant to you. And as people’s needs span more than one agency, they end up with a disjointed and confusing user experience as they have to navigate across disparate government sites. And even if you begin at your favourite search engine how do you know which of the many government search results is the right place to start?

There are two government entry points already in place to help users – Australia.gov.au and business.gov.au – but they largely act as an umbrella across the 1200+ sites and currently only provide a very thin layer of whole of government information and mainly refer people off to other websites.

The establishment of the DTO has provided the first opportunity for people to come together and better understand how our underlying structural landscape is impacting people’s experience with government. It’s also given us an opportunity to take a step back and ask some of the big questions about how we manage information and what problems can only really be solved through whole of government transformation.

How do we make information and services easier to find? How do we make sure we provide information that people can trust and rely upon at times of need? How should the gov.au landscape be organised to make it easier for us to meet user’s needs and expectations? How many websites should we have – assuming 1200 is too many? What makes up a better user experience – does it mean all sites should look and feel the same? How can we provide government information at the places people naturally go looking for assistance – even if these are not government sites?

As we asked these questions we started to come across some central ideas:

  • What if we could decouple the authoring and management of information from the publishing process, so the subject experts in government still manage their content but we have flexibility to present it in more user-centric ways?
  • What if we unleashed government information? Making it possible for state and local governments, non-profit groups and businesses to deliver content and services alongside their own information to give better value users.
  • Should we move the bureaucratic content (information about agencies and how they are managed such as annual reports, budget statements and operating rules) out of the way of core content and services for people? Can we simplify our environment and base it around topics and life events instead of agencies? What if we had people in government responsible for curating these topics and life events across agencies and creating simpler pathways for users?…(More)”

Big Data’s Impact on Public Transportation

Curated on Posted on by Stefaan Verhulst

InnovationEnterprise: “Getting around any big city can be a real pain. Traffic jams seem to be a constant complaint, and simply getting to work can turn into a chore, even on the best of days. With more people than ever before flocking to the world’s major metropolitan areas, the issues of crowding and inefficient transportation only stand to get much worse. Luckily, the traditional methods of managing public transportation could be on the verge of changing thanks to advances in big data. While big data use cases have been a part of the business world for years now, city planners and transportation experts are quickly realizing how valuable it can be when making improvements to city transportation. That hour long commute may no longer be something travelers will have to worry about in the future.

In much the same way that big data has transformed businesses around the world by offering greater insight in the behavior of their customers, it can also provide a deeper look at travellers. Like retail customers, commuters have certain patterns they like to keep to when on the road or riding the rails. Travellers also have their own motivations and desires, and getting to the heart of their actions is all part of what big data analytics is about. By analyzing these actions and the factors that go into them, transportation experts can gain a better understanding of why people choose certain routes or why they prefer one method of transportation over another. Based on these findings, planners can then figure out where to focus their efforts and respond to the needs of millions of commuters.

Gathering the accurate data needed to make knowledgeable decisions regarding city transportation can be a challenge in itself, especially considering how many people commute to work in a major city. New methods of data collection have made that effort easier and a lot less costly. One way that’s been implemented is through the gathering of call data records (CDR). From regular transactions made from mobile devices, information about location, time, and duration of an action (like a phone call) can give data scientists the necessary details on where people are traveling to, how long it takes them to get to their destination, and other useful statistics. The valuable part of this data is the sample size, which provides a much bigger picture of the transportation patterns of travellers.

That’s not the only way cities are using big data to improve public transportation though. Melbourne in Australia has long been considered one of the world’s best cities for public transit, and much of that is thanks to big data. With big data and ad hoc analysis, Melbourne’s acclaimed tram system can automatically reconfigure routes in response to sudden problems or challenges, such as a major city event or natural disaster. Data is also used in this system to fix problems before they turn serious.Sensors located in equipment like tram cars and tracks can detect when maintenance is needed on a specific part. Crews are quickly dispatched to repair what needs fixing, and the tram system continues to run smoothly. This is similar to the idea of the Internet of Things, wherein embedded sensors collect data that is then analyzed to identify problems and improve efficiency.

Sao Paulo, Brazil is another city that sees the value of using big data for its public transportation. The city’s efforts concentrate on improving the management of its bus fleet. With big data collected in real time, the city can get a more accurate picture of just how many people are riding the buses, which routes are on time, how drivers respond to changing conditions, and many other factors. Based off of this information, Sao Paulo can optimize its operations, providing added vehicles where demand is genuine whilst finding which routes are the most efficient. Without big data analytics, this process would have taken a very long time and would likely be hit-or-miss in terms of accuracy, but now, big data provides more certainty in a shorter amount of time….(More)”