Gradually, Then Suddenly


Blogpost by Tim O’Reilly: “There’s a passage in Ernest Hemingway’s novel The Sun Also Rises in which a character named Mike is asked how he went bankrupt. “Two ways,” he answers. “Gradually, then suddenly.”

Technological change happens in much the same way. Small changes accumulate, and suddenly the world is a different place. Throughout my career at O’Reilly Media, we’ve tracked and fostered a lot of “gradually, then suddenly” movements: the World Wide Web, open source software, big data, cloud computing, sensors and ubiquitous computing, and now the pervasive effects of AI and algorithmic systems on society and the economy.

What are some of the things that are in the middle of their “gradually, then suddenly” transition right now? The list is long; here are a few of the areas that are on my mind.

1) AI and algorithms are everywhere

The most important trend for readers of this newsletter to focus on is the development of new kinds of partnership between human and machine. We take for granted that algorithmic systems do much of the work at online sites like Google, Facebook, Amazon, and Twitter, but we haven’t fully grasped the implications. These systems are hybrids of human and machine. Uber, Lyft, and Amazon Robotics brought this pattern to the physical world, reframing the corporation as a vast, buzzing network of humans both guiding and guided by machines. In these systems, the algorithms decide who gets what and why; they’re changing the fundamentals of market coordination in ways that gradually, then suddenly, will become apparent.

2) The rest of the world is leapfrogging the US

The volume of mobile payments in China is $13 trillion versus the US’s $50 billion, while credit cards never took hold. Already Zipline’s on-demand drones are delivering 20% of all blood supplies in Rwanda and will be coming soon to other countries (including the US). In each case, the lack of existing infrastructure turned out to be an advantage in adopting a radically new model. Expect to see this pattern recur, as incumbents and old thinking hold back the adoption of new models..

9) The crisis of faith in government

Ever since Jennifer Pahlka and I began working on the Gov 2.0 Summit back in 2008, we’ve been concerned that if we can’t get government up to speed on 21st century technology, a critical pillar of the good society will crumble. When we started that effort, we were focused primarily on government innovation; over time, through Jen’s work at Code for America and the United States Digital Service, that shifted to a focus on making sure that government services actually work for those who need them most. Michael Lewis’s latest book, The Fifth Risk, highlights just how bad things might get if we continue to neglect and undermine the machinery of government. It’s not just the political fracturing of our country that should concern us; it’s the fact that government plays a critical role in infrastructure, in innovation, and in the safety net. That role has gradually been eroded, and the cracks that are appearing in the foundation of our society are coming at the worst possible time….(More)”.

Political Selection and Bureaucratic Productivity


Paper by James P. Habyarimana et al: “Economic theory of public bureaucracies as complex organizations predicts that bureaucratic productivity can be shaped by the selection of different types of agents, beyond their incentives. This theory applies to the institutions of local government in the developing world, where nationally appointed bureaucrats and locally elected politicians together manage the implementation of public policies and the delivery of services. Yet, there is no evidence on whether (which) selection traits of these bureaucrats and politicians matter for the productivity of local bureaucracies.

This paper addresses the empirical gap by gathering rich data in an institutional context of district governments in Uganda, which is typical of the local state in poor countries. The paper measures traits such as the integrity, altruism, personality, and public service motivation of bureaucrats and politicians. It finds robust evidence that higher integrity among locally elected politicians is associated with substantively better delivery of public health services by district bureaucracies. Together with the theory, this evidence suggests that policy makers seeking to build local state capacity in poor countries should take political selection seriously….(More)”.

Defining subnational open government: does local context influence policy and practice?


M. Chatwin, G. Arku and E. Cleave in Policy Sciences: “What is open government? The contemporary conceptualization of open government remains rooted in transparency and accountability, but it is embedded within the political economy of policy, where forces of globalization through supranational organizations strongly influence the creation and dispersion of policy across the globe. Recognizing the direct impact of subnational governments on residents, in 2016 the Open Government Partnership (OGP) launched the Subnational Pioneer’s Pilot Project with 15 participating government authorities globally. Each subnational participant submitted an action plan for opening their government information and processes in 2017. The uniformity of the OGP action plan provides a unique opportunity to assess the conception of open government at the subnational level globally. This paper uses a document analysis to examine how open government is conceptualized at the subnational level, including the salience of various components, and how local context can influence the development of action plans that are responsive to the realities of each participating jurisdiction. This paper assesses whether being a part of the political economy of policy homogenizes the action plans of 15 subnational governments or allows for local context to influence the design of commitments still aligned within a general theme….(More)”.

Trusting Nudges: Toward A Bill of Rights for Nudging


Book by Cass R. Sunstein and Lucia A. Reisch: “Many “nudges” aim to make life simpler, safer, or easier for people to navigate, but what do members of the public really think about these policies? Drawing on surveys from numerous nations around the world, Sunstein and Reisch explore whether citizens approve of nudge policies. Their most important finding is simple and striking. In diverse countries, both democratic and nondemocratic, strong majorities approve of nudges designed to promote health, safety, and environmental protection—and their approval cuts across political divisions.

In recent years, many governments have implemented behaviorally informed policies, focusing on nudges—understood as interventions that preserve freedom of choice, but that also steer people in certain directions. In some circles, nudges have become controversial, with questions raised about whether they amount to forms of manipulation. This fascinating book carefully considers these criticisms and answers important questions. What do citizens actually think about behaviorally informed policies? Do citizens have identifiable principles in mind when they approve or disapprove of the policies? Do citizens of different nations agree with each other?

From the answers to these questions, the authors identify six principles of legitimacy—a “bill of rights” for nudging that build on strong public support for nudging policies around the world, while also recognizing what citizens disapprove of. Their bill of rights is designed to capture citizens’ central concerns, reflecting widespread commitments to freedom and welfare that transcend national boundaries….(More)”.

Agile research


Michael Twidale and Preben Hansen at First Monday: “Most of us struggle when starting a new research project, even if we have considerable prior experience. It is a new topic and we are unsure about what to do, how to do it and what it all means. We may not have reflected much on our research process. Furthermore the way that research is described in the literature can be rather disheartening. Those papers describe what seems to be a nice, clear, linear, logical, even inevitable progression through a series of stages. It seems like proper researchers carefully plan everything out in advance and then execute that plan. How very different from the mess, the bewilderment, the false starts, the dead ends, the reversions and changes that we make along the way. Are we just doing research wrong? If it feels like that to established researchers with decades of experience and a nice publication record, how much worse must it feel to a new researcher, such as a Ph.D. student? If they are lucky they may have a good mentoring experience, effectively serving an apprenticeship with a wise and nurturing adviser in a supportive group of fellow researchers. Even so, it can be all too easy to feel like an imposter who must be doing it all wrong because what you are doing is not at all like what you read about what others are doing.

In the light of these confusions, fears, doubts and mismatches with what you experience while doing research and what you think is the right and proper way as alluded to in all the papers you read, we want to explore ideas around a title, or at least a provocative metaphor of “agile research”. We want to ask the question: “how might we take the ideas, the methods and the underlying philosophy behind agile software development and explore how these might be applied in the context of doing research?” This paper is not about sharing a set of methods that we have developed but more about provoking a discussion about the issue: What might agile research be like? How might it work? When might it be useful? When might it be problematic? Is it worth trying? Are people doing it already?

We are not claiming that this idea is wholly new. Many people have been using small scale rapid iterative methods within the research process for a long time. Rather we think that it can be useful to consider all these and other possible methods in the light of the successful deployment of agile software development processes, and to contrast them with more conventional research processes that rely more on careful advance planning. That is not to say that the latter methods are bad, just that other methods that might be characterized as more agile can be useful in particular circumstances.

We believe that it is worth exploring this idea as a way of addressing the problems that arise in trying to do a new research project, especially where an exploratory approach is useful. This could be in a domain that is new to the researcher, or where the domain is new in some way, such as involving new use contexts, new ways of interacting, new technologies, novel technology combinations, or new appropriations of existing technologies. We suspect this may be especially useful in helping new researchers such as PhD students get a better understanding of the research process in a less daunting manner. This work builds on prior thinking about how agile may be applied in university teaching and administration (Twidale and Nichols, 2013)….(More)”.

Efficacious and Ethical Public Paternalism


Daniel M. Hausman in the Review of Behavioral Economics (Special Issue on Behavioral Economics and New Paternalism): “People often make bad judgments. A big brother or sister who was wise, well-informed, and properly-motivated could often make better decisions for almost everyone. But can governments, which are not staffed with ideal big brothers or sisters, improve upon the mediocre decisions individuals make? If so, when and how? The risks of extending the reach of government into guiding individual lives must also be addressed. This essay addresses three questions concerning when paternalistic policies can be efficacious, efficient, and safe: 1. In what circumstances can policy makers be confident that they know better than individuals how individuals can best promote their own well-being? 2. What are the methods governments can use to lead people to make decision that are better for themselves? 3. What are the moral pluses and minuses of these methods? Answering these questions defines a domain in which paternalistic policy is an attractive option….(More)”.

Participatory Design for Innovation in Access to Justice


Margaret Hagan at Daedalus: “Most access-to-justice technologies are designed by lawyers and reflect lawyers’ perspectives on what people need. Most of these technologies do not fulfill their promise because the people they are designed to serve do not use them. Participatory design, which was developed in Scandinavia as a process for creating better software, brings end users and other stakeholders into the design process to help decide what problems need to be solved and how. Work at the Stanford Legal Design Lab highlights new insights about what tools can provide the assistance that people actually need, and about where and how they are likely to access and use those tools. These participatory design models lead to more effective innovation and greater community engagement with courts and the legal system.

A decade into the push for innovation in access to justice, most efforts reflect the interests and concerns of courts and lawyers rather than the needs of the people the innovations are supposed to serve. New legal technologies and services, whether aiming to help people expunge their criminal records or to get divorced in more cooperative ways, have not been adopted by the general public. Instead, it is primarily lawyers who use them.1

One way to increase the likelihood that innovations will serve clients would be to involve clients in designing them. Participatory design emerged in Scandinavia in the 1970s as a way to think more effectively about decision-making in the workplace.  It evolved into a strategy for developing software in which potential users were invited to help define a vision of a product, and it has since been widely used for changing systems like elementary education, hospital services, and smart cities, which use data and technology to improve sustainability and foster economic development.3

Participatory design’s promise is that “system innovation” is more likely to be effective in producing tools that the target group will use and in spending existing resources efficiently to do so. Courts spend an enormous amount of money on information technology every year. But the technology often fails to meet courts’ goals: barely half of the people affected are satisfied with courts’ customer service….(More)”.

Firm Led by Google Veterans Uses A.I. to ‘Nudge’ Workers Toward Happiness


Daisuke Wakabayashi in the New York Times: “Technology companies like to promote artificial intelligence’s potential for solving some of the world’s toughest problems, like reducing automobile deaths and helping doctors diagnose diseases. A company started by three former Google employees is pitching A.I. as the answer to a more common problem: being happier at work.

The start-up, Humu, is based in Google’s hometown, and it builds on some of the so-called people-analytics programs pioneered by the internet giant, which has studied things like the traits that define great managers and how to foster better teamwork.

Humu wants to bring similar data-driven insights to other companies. It digs through employee surveys using artificial intelligence to identify one or two behavioral changes that are likely to make the biggest impact on elevating a work force’s happiness. Then it uses emails and text messages to “nudge” individual employees into small actions that advance the larger goal.

At a company where workers feel that the way decisions are made is opaque, Humu might nudge a manager before a meeting to ask the members of her team for input and to be prepared to change her mind. Humu might ask a different employee to come up with questions involving her team that she would like to have answered.

At the heart of Humu’s efforts is the company’s “nudge engine” (yes, it’s trademarked). It is based on the economist Richard Thaler’s Nobel Prize-winning research into how people often make decisions because of what is easier rather than what is in their best interest, and how a well-timed nudge can prompt them to make better choices.

Google has used this approach to coax employees into the corporate equivalent of eating their vegetables, prodding them to save more for retirement, waste less food at the cafeteria and opt for healthier snacks….

But will workers consider the nudges useful or manipulative?

Todd Haugh, an assistant professor of business law and ethics at Indiana University’s Kelley School of Business, said nudges could push workers into behaving in ways that benefited their employers’ interests over their own.

“The companies are the only ones who know what the purpose of the nudge is,” Professor Haugh said. “The individual who is designing the nudge is the one whose interests are going to be put in the forefront.”…(More)”.


Childhood’s End


The 2019 Edge New Year’s Essay by George Dyson: “All revolutions come to an end, whether they succeed or fail.

The digital revolution began when stored-program computers broke the distinction between numbers that mean things and numbers that do things. Numbers that do things now rule the world. But who rules over the machines?

Once it was simple: programmers wrote the instructions that were supplied to the machines. Since the machines were controlled by these instructions, those who wrote the instructions controlled the machines.

Two things then happened. As computers proliferated, the humans providing instructions could no longer keep up with the insatiable appetite of the machines. Codes became self-replicating, and machines began supplying instructions to other machines. Vast fortunes were made by those who had a hand in this. A small number of people and companies who helped spawn self-replicating codes became some of the richest and most powerful individuals and organizations in the world.

Then something changed. There is now more code than ever, but it is increasingly difficult to find anyone who has their hands on the wheel. Individual agency is on the wane. Most of us, most of the time, are following instructions delivered to us by computers rather than the other way around. The digital revolution has come full circle and the next revolution, an analog revolution, has begun. None dare speak its name.

Childhood’s End was Arthur C. Clarke’s masterpiece, published in 1953, chronicling the arrival of benevolent Overlords who bring many of the same conveniences now delivered by the Keepers of the Internet to Earth. It does not end well…

The genius — sometimes deliberate, sometimes accidental — of the enterprises now on such a steep ascent is that they have found their way through the looking-glass and emerged as something else. Their models are no longer models. The search engine is no longer a model of human knowledge, it is human knowledge. What began as a mapping of human meaning now defines human meaning, and has begun to control, rather than simply catalog or index, human thought. No one is at the controls. If enough drivers subscribe to a real-time map, traffic is controlled, with no central model except the traffic itself. The successful social network is no longer a model of the social graph, it is the social graph. This is why it is a winner-take-all game. Governments, with an allegiance to antiquated models and control systems, are being left behind…(More)”.

Democracy and Digital Technology


Article by Ted Piccone in the International Journal on Human Rights: “Democratic governments are facing unique challenges in maximising the upside of digital technology while minimizing its threats to their more open societies. Protecting fair elections, fundamental rights online, and multi-stakeholder approaches to internet governance are three interrelated priorities central to defending strong democracies in an era of rising insecurity, increasing restrictions, and geopolitical competition.

The growing challenges democracies face in managing the complex dimensions of digital technology have become a defining domestic and foreign policy issue with direct implications for human rights and the democratic health of nations. The progressive digitisation of nearly all facets of society and the inherent trans-border nature of the internet raise a host of difficult problems when public and private information online is subject to manipulation, hacking, and theft.

This article addresses digital technology as it relates to three distinct but interrelated subtopics: free and fair elections, human rights, and internet governance. In all three areas, governments and the private sector are struggling to keep up with the positive and negative aspects of the rapid diffusion of digital technology. To address these challenges, democratic governments and legislators, in partnership with civil society and media and technology companies, should urgently lead the way toward devising and implementing rules and best practices for protecting free and fair electoral processes from external manipulation, defending human rights online, and protecting internet governance from restrictive, lowest common denominator approaches. The article concludes by setting out what some of these rules and best practices should be…(More)”.