Encouraging and Sustaining Innovation in Government for the New Administration

Curated on Posted on by Stefaan Verhulst

Dan Chenok and Alan Howze at the IBM Center for The Business of Government: “The IBM Center for The Business of Government and the Partnership for Public Service recently co-hosted a Roundtable to discuss how agency leaders can continue to bring innovation into government, in a way that integrates with agency activities to drive successful outcomes for the next Presidential term. An exceptional group of current and former senior officials from Administrations of both parties, leaders from Capitol Hill, as well as experts from academia and the private and non-profit sectors participated in a robust discussion. The focus of the session was how the next administration can use innovation to spark progress on the administration’s goals/priorities, and in-turn, how transition teams and incoming leaders should incorporate innovation into how government carries out key missions.

The meeting was the fourth of six planned Roundtables in our “Management Roadmap” series, part of a multi-pronged Ready to Govern (#Ready2Govern) initiative, through which the Partnership seeks to improve the transfer of power and knowledge between administrations[1]These Roundtables addressed the critical importance of strong leadership (along with the related report on Executive Talent),  the need for agency-specific and governmentwide approaches, and the challenge of decision-making in a time of transition.

The IBM Center is pleased to collaborate with the Partnership to help the next Administration get off to a strong start, and build sustained management excellence thereafter. We are grateful for the many distinguished leaders who contributed their time and insights to the Enterprise Government session, and to Steve Goldsmith, Director of the Innovations Program at the Harvard Kennedy School and former Deputy Mayor of New York and Mayor of Indianapolis, for his expert facilitation of the session.

Background

Under the current Administration, agencies have prioritized innovation in many different ways. The administration pioneered business model innovations such as the U.S. Digital Service, the GSA Office of Citizen Services and Innovative Technologies and 18F, and a new GSA Unified Shared Services Management (USSM) governance model. Challenge.gov and “idea labs” such as those at HHS and OPM brought new approaches to program delivery and government operations. There has also been innovation in talent acquisition such as the introduction of the Presidential Innovation Fellow (PIFs).

When the next President takes office in 2017, a new administration will have the opportunity to embark on their own innovation agenda, building upon past efforts and setting new goals. How can new agency leaders drive and sustain innovation? How can the next administration enhance customer experience, and support empowerment of citizens and businesses?  These and other questions served to frame a rich discussion at the Innovation Roundtable.

The discussion highlighted that innovation is the means to an end – and not an end-goal per se. Roundtable participants focused on three desired objectives for how innovation can improve outcomes:

  • Improving Efficiency and Effectiveness –utilizing technology to improve government operations.
  • Customer Experience – enhancing customer service and improving the user experience.
  • Engagement–empowering citizens and businesses to participate in the development of government policies and programs.

In each of these areas, innovators in and for government must address the challenges of leadership and talent, process, and scale in order to sustain and grow an innovation culture. The roundtable noted that meeting these challenges can be facilitated by a focus on innovation goals and governance – how to set outcome goals and establish governance structures – at the agency and governmentwide levels.  Specific challenges discussed follow….(More). See also: Part II.

Visualizing Potential Outbreaks of the Zika Virus

Curated on Posted on by Stefaan Verhulst

Google’s Official Blog: “The recent Zika virus outbreak has caused concern around the world. We’ve seen more than a 3,000 percent increase in global search interest since November, and last month, the World Health Organization (WHO) declared a Public Health Emergency. The possible correlation with Zika, microcephaly and other birth defects is particularly alarming.

But unlike many other global pandemics, the spread of Zika has been harder to identify, map and contain. It’s believed that 4 in 5 people with the virus don’t show any symptoms, and the primary transmitter for the disease, the Aedes mosquito species, is both widespread and challenging to eliminate. That means that fighting Zika requires raising awareness on how people can protect themselves, as well as supporting organizations who can help drive the development of rapid diagnostics and vaccines. We also have to find better ways to visualize the threat so that public health officials and NGO’s can support communities at risk….

A volunteer team of Google engineers, designers, and data scientists is helping UNICEF build a platform to process data from different sources (i.e., weather and travel patterns) in order to visualize potential outbreaks. Ultimately, the goal of this open source platform is to identify the risk of Zika transmission for different regions and help UNICEF, governments and NGO’s decide how and where to focus their time and resources. This set of tools is being prototyped for the Zika response, but will also be applicable to future emergencies….

We already include robust information for 900+ health conditions directly on Search for people in the U.S. We’ve now also added extensive information about Zika globally in 16 languages, with an overview of the virus, symptom information, and Public Health Alerts from that can be updated with new information as it becomes available.

We’re also working with popular YouTube creators across Latin America, including Sesame Street and Brazilian physician Drauzio Varella, to raise awareness about Zika prevention via their channels.

We hope these efforts are helpful in fighting this new public health emergency, and we will continue to do our part to help combat this outbreak.

And if you’re curious about what that 3,000 percent search increase looks like, take a look:….(More)

Value public information so we can trust it, rely on it and use it

Curated on Posted on by Stefaan Verhulst

Speech by David Fricker, the director general of the National Archives of Australia: “No-one can deny that we are in an age of information abundance. More and more we rely on information from a variety of sources and channels. Digital information is seductive, because it’s immediate, available and easy to move around. But digital information can be used for nefarious purposes. Social issues can be at odds with processes of government in this digital age. There is a tension between what is the information, where it comes from and how it’s going to be used.

How do we know if the information has reached us without being changed, whether that’s intentional or not?

How do we know that government digital information will be the authoritative source when the pace of information exchange is so rapid? In short, how do we know what to trust?

“It’s everyone’s responsibly to contribute to a transparent government, and that means changes in our thinking and in our actions.”

Consider the challenges and risks that come with the digital age: what does it really mean to have transparency and integrity of government in today’s digital environment?…

What does the digital age mean for government? Government should be delivering services online, which means thinking about location, timeliness and information accessibility. It’s about getting public-sector data out there, into the public, making it available to fuel the digital economy. And it’s about a process of change across government to make sure that we’re breaking down all of those silos, and the duplication and fragmentation which exist across government agencies in the application of information, communications, and technology…..

The digital age is about the digital economy, it’s about rethinking the economy of the nation through the lens of information that enables it. It’s understanding that a nation will be enriched, in terms of culture life, prosperity and rights, if we embrace the digital economy. And that’s a weighty responsibility. But the responsibility is not mine alone. It’s a responsibility of everyone in the government who makes records in their daily work. It’s everyone’s responsibly to contribute to a transparent government. And that means changes in our thinking and in our actions….

What has changed about democracy in the digital age? Once upon a time if you wanted to express your anger about something, you might write a letter to the editor of the paper, to the government department, or to your local member and then expect some sort of an argument or discussion as a response. Now, you can bypass all of that. You might post an inflammatory tweet or blog, your comment gathers momentum, you pick the right hashtag, and off we go. It’s all happening: you’re trending on Twitter…..

If I turn to transparency now, at the top of the list is the basic recognition that government information is public information. The information of the government belongs to the people who elected that government. It’s a fundamental of democratic values. It also means that there’s got to be more public participation in the development of public policy, which means if you’re going to have evidence-based, informed, policy development; government information has to be available, anywhere, anytime….

Good information governance is at the heart of managing digital information to provide access to that information into the future — ready access to government information is vital for transparency. Only when information is digital and managed well can government share it effectively with the Australian community, to the benefit of society and the economy.

There are many examples where poor information management, or poor information governance, has led to failures — both in the private and public sectors. Professor Peter Shergold’s recent report, Learning from Failure, why large government policy initiatives have gone so badly wrong in the past and how the chances of success in the future can be improved, highlights examples such as the Home Insulation Program, the NBN and Building the Education Revolution….(Full Speech)

Ebola: A Big Data Disaster

Curated on Posted on by Stefaan Verhulst

Study by Sean Martin McDonald: “…undertaken with support from the Open Society Foundation, Ford Foundation, and Media Democracy Fund, explores the use of Big Data in the form of Call Detail Record (CDR) data in humanitarian crisis.

It discusses the challenges of digital humanitarian coordination in health emergencies like the Ebola outbreak in West Africa, and the marked tension in the debate around experimentation with humanitarian technologies and the impact on privacy. McDonald’s research focuses on the two primary legal and human rights frameworks, privacy and property, to question the impact of unregulated use of CDR’s on human rights. It also highlights how the diffusion of data science to the realm of international development constitutes a genuine opportunity to bring powerful new tools to fight crisis and emergencies.

Analysing the risks of using CDRs to perform migration analysis and contact tracing without user consent, as well as the application of big data to disease surveillance is an important entry point into the debate around use of Big Data for development and humanitarian aid. The paper also raises crucial questions of legal significance about the access to information, the limitation of data sharing, and the concept of proportionality in privacy invasion in the public good. These issues hold great relevance in today’s time where big data and its emerging role for development, involving its actual and potential uses as well as harms is under consideration across the world.

The paper highlights the absence of a dialogue around the significant legal risks posed by the collection, use, and international transfer of personally identifiable data and humanitarian information, and the grey areas around assumptions of public good. The paper calls for a critical discussion around the experimental nature of data modelling in emergency response due to mismanagement of information has been largely emphasized to protect the contours of human rights….

See Sean Martin McDonald – “Ebola: A Big Data Disaster” (PDF).

 

A machine intelligence commission for the UK

Curated on Posted on by Stefaan Verhulst

Geoff Mulgan at NESTA: ” This paper makes the case for creating a Machine Intelligence Commission – a new public institution to help the development of new generations of algorithms, machine learning tools and uses of big data, ensuring that the public interest is protected.

I argue that new institutions of this kind – which can interrogate, inspect and influence technological development – are a precondition for growing informed public trust. That trust will, in turn, be essential if we are to reap the full potential public and economic benefits from new technologies. The proposal draws on lessons from fields such as human fertilisation, biotech and energy, which have shown how trust can be earned, and how new industries can be grown.  It also draws on lessons from the mistakes made in fields like GM crops and personal health data, where lack of trust has impeded progress….(More)”

The impact of a move towards Open Data in West Africa

Curated on Posted on by Stefaan Verhulst

 at the Georgetown Journal of International Affairs:  “The concept of “open data” is not new, but its definition is quite recent. Since computers began communicating through networks, engineers have been developing standards to share data. The open data philosophy holds that some data should be freely available for use, reuse, distribute and publish without copyright and patent controls. Several mechanisms can also limit access to data like restricted database access, use of proprietary technologies or encryption. Ultimately, open data buttresses government initiatives to boost innovation, support transparency, empower citizens, encourage accountability, and fight corruption.

West Africa is primed for open data. The region experienced a 6% growth in 2014, according to the Africa Development Bank. Its Internet user network is also growing: 17% of the sub-Saharan population owned a unique smartphone in 2013, a number projected to grow to 37% by 2020 according to the GSMA. To improve the quality of governance and services in the digital age, the region must develop new infrastructures, revise digital strategies, simplify procurement procedures, adapt legal frameworks, and allow access to public data. Open data can enhance local economies and the standard of living.

This paper speaks towards the impact of open data in West Africa. First it assesses open data as a positive tool for governance and civil society. Then, it analyzes the current situation of open data across the region. Finally, it highlights specific best practices for enhancing impact in the future….(More)”

Cities in the 21st Century

Curated on Posted on by Stefaan Verhulst

Book edited by Oriol Nel-lo and Renata Mele: “Cities in the 21st Century provides an overview of contemporary urban development. Written by more than thirty major academic specialists from different countries, it provides information on and analysis of the global network of cities, changes in urban form, environmental problems, the role of technologies and knowledge, socioeconomic developments, and finally, the challenge of urban governance.

In the mid-20th century, architect and planner Josep Lluís Sert wondered if cities could survive; in the early 21st century, we see that cities have not only survived but have grown as never before. Cities today are engines of production and trade, forges of scientific and technological innovation, and crucibles of social change. Urbanization is a major driver of change in contemporary societies; it is a process that involves acute social inequalities and serious environmental problems, but also offers opportunities to move towards a future of greater prosperity, environmental sustainability, and social justice.

With case studies on thirty cities in five continents and a selection of infographics illustrating these dynamic cities, this edited volume is an essential resource for planners and students of urbanization and urban change….(More)”

The Problem With Evidence-Based Policies

Curated on Posted on by Stefaan Verhulst

Ricardo Hausmann at Project Syndicate: “Many organizations, from government agencies to philanthropic institutions and aid organizations, now require that programs and policies be “evidence-based.” It makes sense to demand that policies be based on evidence and that such evidence be as good as possible, within reasonable time and budgetary limits. But the way this approach is being implemented may be doing a lot of harm, impairing our ability to learn and improve on what we do.

The current so-called “gold standard” of what constitutes good evidence is the randomized control trial, or RCT, an idea that started in medicine two centuries ago, moved to agriculture, and became the rage in economics during the past two decades. Its popularity is based on the fact that it addresses key problems in statistical inference.

For example, rich people wear fancy clothes. Would distributing fancy clothes to poor people make them rich? This is a case where correlation (between clothes and wealth) does not imply causation.

Harvard graduates get great jobs. Is Harvard good at teaching – or just at selecting smart people who would have done well in life anyway? This is the problem of selection bias.

RCTs address these problems by randomly assigning those participating in the trial to receive either a “treatment” or a “placebo” (thereby creating a “control” group). By observing how the two groups differ after the intervention, the effectiveness of the treatment can be assessed. RCTs have been conducted on drugs, micro-loans, training programs, educational tools, and myriad other interventions….

In economics, RCTs have been all the rage, especially in the field of international development, despite critiques by the Nobel laureate Angus Deaton, Lant Pritchett, and Dani Rodrik, who have attacked the inflated claims of RCT’s proponents. One serious shortcoming is external validity. Lessons travel poorly: If an RCT finds out that giving micronutrients to children in Guatemala improves their learning, should you give micronutrients to Norwegian children?

My main problem with RCTs is that they make us think about interventions, policies, and organizations in the wrong way. As opposed to the two or three designs that get tested slowly by RCTs (like putting tablets or flipcharts in schools), most social interventions have millions of design possibilities and outcomes depend on complex combinations between them. This leads to what the complexity scientist Stuart Kauffman calls a “rugged fitness landscape.”

Getting the right combination of parameters is critical. This requires that organizations implement evolutionary strategies that are based on trying things out and learning quickly about performance through rapid feedback loops, as suggested by Matt Andrews, Lant Pritchett and Michael Woolcock at Harvard’s Center for International Development.

RCTs may be appropriate for clinical drug trials. But for a remarkably broad array of policy areas, the RCT movement has had an impact equivalent to putting auditors in charge of the R&D department. That is the wrong way to design things that work. Only by creating organizations that learn how to learn, as so-called lean manufacturing has done for industry, can we accelerate progress….(More)”

Data Collaboratives: Matching Demand with Supply of (Corporate) Data to solve Public Problems

Curated on Posted on by Stefaan Verhulst

Blog by Stefaan G. Verhulst, IrynaSusha and Alexander Kostura: “Data Collaboratives refer to a new form of collaboration, beyond the public-private partnership model, in which participants from different sectors (private companies, research institutions, and government agencies) share data to help solve public problems. Several of society’s greatest challenges — from climate change to poverty — require greater access to big (but not always open) data sets, more cross-sector collaboration, and increased capacity for data analysis. Participants at the workshop and breakout session explored the various ways in which data collaborative can help meet these needs.

Matching supply and demand of data emerged as one of the most important and overarching issues facing the big and open data communities. Participants agreed that more experimentation is needed so that new, innovative and more successful models of data sharing can be identified.

How to discover and enable such models? When asked how the international community might foster greater experimentation, participants indicated the need to develop the following:

· A responsible data framework that serves to build trust in sharing data would be based upon existing frameworks but also accommodates emerging technologies and practices. It would also need to be sensitive to public opinion and perception.

· Increased insight into different business models that may facilitate the sharing of data. As experimentation continues, the data community should map emerging practices and models of sharing so that successful cases can be replicated.

· Capacity to tap into the potential value of data. On the demand side,capacity refers to the ability to pose good questions, understand current data limitations, and seek new data sets responsibly. On the supply side, this means seeking shared value in collaboration, thinking creatively about public use of private data, and establishing norms of responsibility around security, privacy, and anonymity.

· Transparent stock of available data supply, including an inventory of what corporate data exist that can match multiple demands and that is shared through established networks and new collaborative institutional structures.

· Mapping emerging practices and models of sharing. Corporate data offers value not only for humanitarian action (which was a particular focus at the conference) but also for a variety of other domains, including science,agriculture, health care, urban development, environment, media and arts,and others. Gaining insight in the practices that emerge across sectors could broaden the spectrum of what is feasible and how.

In general, it was felt that understanding the business models underlying data collaboratives is of utmost importance in order to achieve win-win outcomes for both private and public sector players. Moreover, issues of public perception and trust were raised as important concerns of government organizations participating in data collaboratives….(More)”