From Servants to Stewards: Design-led Innovation in the Public Sector


Adam Hasler: “For years, and very acutely the last few months, citizens of the United States and in many other parts of the world have been pitched into an often uncomfortable morass of debate and discussion about the direction of their country. Problems exist, and persist, which government at all levels has tried to address or currently addresses, and government’s efficacy at addressing problems affects all of us in some way. At such an historical moment like the one in which we live, in which a competing visions of government excite or frighten so many, we remember how much government matters to us.

A very powerful anecdote told to a crowd of listeners at Harvard recently recounted how, during a United States Digital Service project, the prototype for a project delivered to a decision maker and her team didn’t include a feature that was very clearly dictated to them in the requirements. The head of the United States Digital Service team that facilitated the project received an angry call summoning her to the director’s office. There, the policy maker who had added the requirement asked for an explanation why the prototype didn’t meet requirements. “We described to her that we actually took this prototype to a school, and had people use it. It wasn’t a feature they wanted or used, so it didn’t make sense to build it.” The simple common sense of the logic of design-thinking immediately resonated with the policy maker. “Yeah, we shouldn’t build it if they don’t need it.” She stopped for a moment, and continued, “Oh my gosh, this is great, we should do everything like this, we should make policy like this!”

“Yeah, we shouldn’t build it if they don’t need it.” She stopped for a moment, and continued, “Oh my gosh, this is great! We should do everything like this! We should make policy like this!”

This story demonstrates how a growing movement within governments around the world has begun improve the public sector through design-led innovation. This article, presented in four parts, explores various aspects of that movement. To get right to it, the “design” in design-led innovation refers in this work specifically to design thinking, or the idea that design is a process, rather than a domain of outputs. You’ll see that I advocate strongly for a particular design process known as human-centered design, commonly referred to as HCD. HCD is a process made up of alternating divergence and convergence by which an individual or team starts by empathetically understanding a problem through close interaction with the people that experience it. The team then extends that co-creation to the solution phase, and experiments with ideas originating from both the team the humans who have the problem. It relies heavily on prototyping and small-scale releases of potential solutions to facilitate multiple iterations and get as close as possible to a solution whose effectiveness the team measures relative to its ability to solve the original problem. This may represent a bit of a switch to some: rather than become enamored of and advocate for a favored genius idea, many of today’s best designers fall in love with the problem, and don’t rest until a solution, originating from anywhere, gets it closer to solved.

I define innovation here as the process of developing and cultivating new ideas, often from individuals throughout an organization and even outside of it, thereby maximizing the potential of all of the resources at an organization’s disposal and often breaking down organizational silos. The marriage of innovation and design thinking suggests a strategy in which innovation encourages new ideas and helps an organization adapt to ever-changing conditions, and a transparent process that helps to develop a deep understanding of a problem, decreases cost and mitigates the risk of releasing something that doesn’t solve the problem, and provides a mechanism for questioning the system itself.

This work culminates an introductory research project for me. At the heart of the work is the question, “How can design thinking and innovation improve public sector effectiveness, provide more opportunities for rewarding political participation, and facilitate the pursuit of ambitious, shared goals that move us into the future?…(More)”

Notable Privacy and Security Books from 2016


Daniel J. Solove at Technology, Academics, Policy: “Here are some notable books on privacy and security from 2016….

Chris Jay Hoofnagle, Federal Trade Commission Privacy Law and Policy

From my blurb: “Chris Hoofnagle has written the definitive book about the FTC’s involvement in privacy and security. This is a deep, thorough, erudite, clear, and insightful work – one of the very best books on privacy and security.”

My interview with Hoofnagle about his book: The 5 Things Every Privacy Lawyer Needs to Know about the FTC: An Interview with Chris Hoofnagle

My further thoughts on the book in my interview post above: “This is a book that all privacy and cybersecurity lawyers should have on their shelves. The book is the most comprehensive scholarly discussion of the FTC’s activities in these areas, and it also delves deep in the FTC’s history and activities in other areas to provide much-needed context to understand how it functions and reasons in privacy and security cases. There is simply no better resource on the FTC and privacy. This is a great book and a must-read. It is filled with countless fascinating things that will surprise you about the FTC, which has quite a rich and storied history. And it is an accessible and lively read too – Chris really makes the issues come alive.”

Gary T. Marx, Windows into the Soul: Surveillance and Society in an Age of High Technology

From Peter Grabosky: “The first word that came to mind while reading this book was cornucopia. After decades of research on surveillance, Gary Marx has delivered an abundant harvest indeed. The book is much more than a straightforward treatise. It borders on the encyclopedic, and is literally overflowing with ideas, observations, and analyses. Windows into the Soul commands the attention of anyone interested in surveillance, past, present, and future. The book’s website contains a rich abundance of complementary material. An additional chapter consists of an intellectual autobiography discussing the author’s interest in, and personal experience with, surveillance over the course of his career. Because of its extraordinary breadth, the book should appeal to a wide readership…. it will be of interest to scholars of deviance and social control, cultural studies, criminal justice and criminology. But the book should be read well beyond the towers of academe. The security industry, broadly defined to include private security and intelligence companies as well as state law enforcement and intelligence agencies, would benefit from the book’s insights. So too should it be read by those in the information technology industries, including the manufacturers of the devices and applications which are central to contemporary surveillance, and which are shaping our future.”

Susan C. Lawrence, Privacy and the Past: Research, Law, Archives, Ethics

From the book blurb: “When the new HIPAA privacy rules regarding the release of health information took effect, medical historians suddenly faced a raft of new ethical and legal challenges—even in cases where their subjects had died years, or even a century, earlier. In Privacy and the Past, medical historian Susan C. Lawrence explores the impact of these new privacy rules, offering insight into what historians should do when they research, write about, and name real people in their work.”

Ronald J. Krotoszynski, Privacy Revisited: A Global Perspective on the Right to Be Left Alone

From Mark Tushnet: “Professor Krotoszynski provides a valuable overview of how several constitutional systems accommodate competing interests in privacy, speech, and democracy. He shows how scholarship in comparative law can help one think about one’s own legal system while remaining sensitive to the different cultural and institutional settings of each nation’s law. A very useful contribution.”

Laura K. Donohue, The Future of Foreign Intelligence: Privacy and Surveillance in a Digital Age

Gordon Corera, Cyberspies: The Secret History of Surveillance, Hacking, and Digital Espionage

J. Macgregor Wise, Surveillance and Film…(More; See also Nonfiction Privacy + Security Books).

Cancer Research Orgs Release Big Data for Precision Medicine


 at HealthITAnalytics: “The American Association for Cancer Research (AACR) is releasing more than 19,000 de-identified genomic records to further the international research community’s explorations into precision medicine.

The big data dump, which includes information on 59 major types of cancer, including breast, colorectal, and lung cancer, is a result of the AACR Project Genomics Evidence Neoplasia Information Exchange (GENIE) initiative, and includes both genomic and some clinical data on consenting patients….

“These data were generated as part of routine patient care and without AACR Project GENIE they would likely never have been shared with the global cancer research community.”

Eight cancer research institutions, including five based in the United States, have contributed to the first phase of the GENIE project.  Dana-Farber Cancer Institute in Boston, Memorial Sloan Kettering Cancer Center in New York City, and the University of Texas MD Anderson Cancer Center in Houston are among the collaborators.

Alongside institutions in Paris, the Netherlands, Toronto, Nashville, and Baltimore, these organizations aim to expand the research community’s knowledge of cancer and its potential treatments by continuing to make the exchange of high-grade clinical data a top priority.

“We are committed to sharing not only the real-world data within the AACR Project GENIE registry but also our best practices, from tips about assembling an international consortium to the best variant analysis pipeline, because only by working together will information flow freely and patients benefit rapidly,” Sawyers added…

Large-scale initiatives like the AACR Project GENIE, alongside separate data collection efforts like the VA’s Million Veterans Project, the CancerLinQ platform, Geisinger Health System’s MyCode databank, and the nascent PMI Cohort, will continue to make critical genomic and clinical data available to investigators across the country and around the world…(More)”.

Technoscience and Citizenship: Ethics and Governance in the Digital Society


Book edited by Ann Delgado that “ provides insights on how emerging technosciences come together with new forms of governance and ethical questioning. Combining science and technologies and ethics approaches, it looks at the emergence of three key technoscientific domains – body enhancement technologies, biometrics and technologies for the production of space -exploring how human bodies and minds, the movement of citizens and space become matters of technoscientific governance. The emergence of new and digital technologies pose new challenges for representative democracy and existing forms of citizenship. As citizens encounter and have to adapt to technological change in their everyday life, new forms of conviviality and contestation emerge. This book is a key reference for scholars interested in the governance of emerging technosciences in the fields of science and technology studies and ethics….(More)

Beyond IRBs: Designing Ethical Review Processes for Big Data Research


Conference Proceedings by Future of Privacy Forum: “The ethical framework applying to human subject research in the biomedical and behavioral research fields dates back to the Belmont Report.Drafted in 1976 and adopted by the United States government in 1991 as the Common Rule, the Belmont principles were geared towards a paradigmatic controlled scientific experiment with a limited population of human subjects interacting directly with researchers and manifesting their informed consent. These days, researchers in academic institutions as well as private sector businesses not subject to the Common Rule, conduct analysis of a wide array of data sources, from massive commercial or government databases to individual tweets or Facebook postings publicly available online, with little or no opportunity to directly engage human subjects to obtain their consent or even inform them of research activities.

Data analysis is now used in multiple contexts, such as combatting fraud in the payment card industry, reducing the time commuters spend on the road, detecting harmful drug interactions, improving marketing mechanisms, personalizing the delivery of education in K-12 schools, encouraging exercise and weight loss, and much more. And companies deploy data research not only to maximize economic gain but also to test new products and services to ensure they are safe and effective. These data uses promise tremendous societal benefits but at the same time create new risks to privacy, fairness, due process and other civil liberties.

Increasingly, corporate officers find themselves struggling to navigate unsettled social norms and make ethical choices that are more befitting of philosophers than business managers or even lawyers. The ethical dilemmas arising from data analysis transcend privacy and trigger concerns about stigmatization, discrimination, human subject research, algorithmic decision making and filter bubbles.

The challenge of fitting the round peg of data-focused research into the square hole of existing ethical and legal frameworks will determine whether society can reap the tremendous opportunities hidden in the data exhaust of governments and cities, health care institutions and schools, social networks and search engines, while at the same time protecting privacy, fairness, equality and the integrity of the scientific process. One commentator called this “the biggest civil rights issue of our time.”…(More)”

Uber debuts Movement, a new website offering access to its traffic data


 at TechCrunch: “Uber is opening up in an area where it might make sense competitively for it to stay more closed off: The ride-hailing company’s new Movement website will offer up access to its data around traffic flow in scores where it operates, intended for use by city planners and researchers looking into ways to improve urban mobility.

The basic idea is that Uber has a lot of insight into how traffic works within a city, and it can anonymize this data so that it isn’t tied to specific individuals in most cases. So where that’s possible, Uber is going to begin sharing said data, first to specific organizations who apply for early access, and then eventually to the general public.

Uber says it was looking at all the data it gathered and began to realize that it could be used for public benefit, and assembled a product team to make this happen. The result of this effort was Movement, which aims to address problems city officials and urban planners encounter when they’re forced to make key, transformational infrastructure decisions without access to all of, or the proper information about actual conditions and causes.

Essentially, according to Uber, it’s hoping to make it easier for those with influence over a city’s transportation picture to make the right decision, and to be able to explain why, where and when the changes are happening with accurate data backing them up. It also wants to do this in a way that makes it easy for organizations to work with, so it’s releasing the data organized around traffic analysis zones within cities, which are agreed-upon geographic demarcations that help with existing urban planning and traffic management.
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Users of the website can adjust things like time of day, day of week and zones to call up Uber’s data for that specific point or range, and can download the data, both with existing time series charts and in raw format for inputting into their own models. Uber says it’s looking at also releasing access to the data as an API, but is “trying to figure out how to do it in a performant way” at this stage….(More)”

Technology tools in human rights


Engine Room: “Over the past few years, we have been witnessing a wave of new technology tools for human rights documentation. Along with the arrival of the new tools, human rights defenders are facing  new tools, new possibilities, new challenges, and new expectations of human rights documentation initiatives.

Produced with support from the Oak Foundation, this report is designed as a first attempt to detail available technologies that are designed for human rights documentation, understand the various perspectives on the challenges human rights documentation initiatives face when adopting new tools and practices, and analyse what is working and what is not for human rights documentation initiatives seeking to integrate new tools in their work….

Primary takeaways:

  • Traditional methods still apply: The environment in which HRDs are working has not dramatically inherently changed due to technology and data.
  • Unreliability and unknown risks provide huge barriers to engagement with technology: In high-pressured situations such as that of HRDs, methodologies used need to be concrete and reliable.
  • Priorities of HRDs centre around their particular issue: Digital technologies often come as an afterthought, rather than integrated into established strategies for communication or campaigning.
  • The lifespan of technology tools is a big barrier to longterm use: Sustainability of tools and maintenance is a big barrier to engaging with them and can cause fatigue among users having to change their practices often.
  • Past failed attempts at using tools makes future attempts more difficult: After having invested time and energy into changing a workflow or process only for it not to work, people are often reluctant to do the same again.
  • HRDs understand their context best: Tools recommendations coming from external parties sometimes do more harm than good.
  • There is a lack of technical capacity within HRD initiatives: As a result, when tools are introduced, groups become reliant on external parties for technical troubleshooting and support.

(Download the report)

 

Inside the Digital Revolution


Heather Brooks in the Journal of International Affairs: “Technology and transparency combined to create the digital revolution, which in turn has ushered in a new form o f monitory democracy. Communicative abundance and global interconnection mean the democratic franchise can expand and deepen, but the author argues that it matters who is made transparent and for what purpose. Content and context matter. Technology and transparency can be used to strengthen democracy by opening up government to citizens, but the same tools can also be used by the state to surveil and disempower citizens, thereby damaging democracy. The author uses three case studies to discuss the impact o f digitizing information on power relations between citizens and states. First, her observations as the journalist and litigant in the legal case that forced the digitization o f UK parliamentary expense records, which when leaked created one o f the biggest political scandals in that country for decades. Second, she obtained the entire set o f U. S. diplomatic cables and reported on their contents for the Guardian. Lastly, she served as a member o f the Independent Surveillance Review Panel, set up by the UK government to investigate allegations made by Edward Snowden that the UK and U.S. governments were conducting mass surveillance programs that were potentially illegal and lacked adequate oversight. The case studies show how journalism is integral not only to identifying useful civic information but also maximizing the public good from leaked information while minimizing harm….(More)”

Data Collaboratives as a New Frontier of Cross-Sector Partnerships in the Age of Open Data: Taxonomy Development


Paper by Iryna Susha, Marijn Janssen and Stefaan Verhulst: “Data collaboratives present a new form of cross-sector and public-private partnership to leverage (often corporate) data for addressing a societal challenge. They can be seen as the latest attempt to make data accessible to solve public problems. Although an increasing number of initiatives can be found, there is hardly any analysis of these emerging practices. This paper seeks to develop a taxonomy of forms of data collaboratives. The taxonomy consists of six dimensions related to data sharing and eight dimensions related to data use. Our analysis shows that data collaboratives exist in a variety of models. The taxonomy can help organizations to find a suitable form when shaping their efforts to create public value from corporate and other data. The use of data is not only dependent on the organizational arrangement, but also on aspects like the type of policy problem, incentives for use, and the expected outcome of data collaborative….(More)”