Paper by J. Ojasalo and L. Tähtinen as part of the INTED2017 Proceedings: “The purpose of this paper is to increase knowledge of participation in collaborative innovation of cities with digital channels, as well as propose a model of digital participation system in an open innovation platform of a city. There is very little knowledge of this area is available in the existing research literature. This paper empirically addresses this knowledge gap and contributes to the literature on digital participation in collaborative innovation, innovation intermediaries and platforms, as well as urban development and Smart City literature. The results of this study have also clear practical implications particularly to urban policy makers and developers, companies and third sector organization collaborating with cities, as well as educators in the field of innovation and urban development. The empirical research method is qualitative and draws on data from in-depth interviews and co-creative multi-actor workshops. As the result, it proposes a model which shows the main methods of digital participation in an open innovation platform, namely information dissemination, actor recruitment, and idea generation, explains their nature….(More)”
Hackathons, entrepreneurship and the passionate making of smart cities
A Programmable City Working Paper by Sung-Yueh Perng, Rob Kitchin and Darach Mac Donncha: “Hackathons – quick prototyping events for commercial purposes – have become an important means to foster innovation, entrepreneurship and the start-up economy in smart cities. Smart and entrepreneurial cities have been critiqued with respect to the neoliberalization of governance and statecraft. We consider the passions, inventions and imitations in the assemblage of practices – alongside neoliberalizing and capitalist operations – that shape the economy and governance of smart cities. The paper examines hackathons as tech events that extend the passions for digital innovation and entrepreneurship and act as sites of social learning for the development of smart urbanism. We argue that passionate and imitative practices energize the desire and belief in entrepreneurial life and technocratic governance, and also engender precarious, ambiguous and uncertain future for participants and prototypes…(More)”.
What do we know about when data does/doesn’t influence policy?
Josh Powell at Oxfam Blog: “While development actors are now creating more data than ever, examples of impactful use are anecdotal and scant. Put bluntly, despite this supply-side push for more data, we are far from realizing an evidence-based utopia filled with data-driven decisions.
One of the key shortcomings of our work on development data has been failing to develop realistic models for how data can fit into existing institutional policy/program processes. The political economy – institutional structures, individual (dis)incentives, policy constraints – of data use in government and development agencies remains largely unknown to “data people” like me, who work on creating tools and methods for using development data.
We’ve documented several preconditions for getting data to be used, which could be thought of in a cycle:
While broadly helpful, I think we also need more specific theories of change (ToCs) to guide data initiatives in different institutional contexts. Borrowing from a host of theories on systems thinking and adaptive learning, I gave this a try with a simple 2×2 model. The x-axis can be thought of as the level of institutional buy-in, while the y-axis reflects whether available data suggest a (reasonably) “clear” policy approach. Different data strategies are likely to be effective in each of these four quadrants.
So what does this look like in the real world? Let’s tackle these with some examples we’ve come across:
Building State Capability: Evidence, Analysis, Action
(Open Access) Book by Matt Andrews, Lant Pritchett, and Michael Woolcock: “…Governments play a major role in the development process, and constantly introduce reforms and policies to achieve developmental objectives. Many of these interventions have limited impact, however; schools get built but children don’t learn, IT systems are introduced but not used, plans are written but not implemented. These achievement deficiencies reveal gaps in capabilities, and weaknesses in the process of building state capability.
This book addresses these weaknesses and gaps. It starts by providing evidence of the capability shortfalls that currently exist in many countries, showing that many governments lack basic capacities even after decades of reforms and capacity building efforts. The book then analyses this evidence, identifying capability traps that hold many governments back – particularly related to isomorphic mimicry (where governments copy best practice solutions from other countries that make them look more capable even if they are not more capable) and premature load bearing (where governments adopt new mechanisms that they cannot actually make work, given weak extant capacities). The book then describes a process that governments can use to escape these capability traps. Called PDIA (problem driven iterative adaptation), this process empowers people working in governments to find and fit solutions to the problems they face. The discussion about this process is structured in a practical manner so that readers can actually apply tools and ideas to the capability challenges they face in their own contexts. These applications will help readers devise policies and reforms that have more impact than those of the past….(More)”.
Decentralized Self-Organizing Systems
Fred Wilson at AVC: “Mankind has been inventing new ways to organize and govern since we showed up on planet earth. Our history is a gradual evolution of these organization and governance systems. Much of what we are using right now was invented in ancient Greece and perfected in western Europe in the 17th, 18th, and 19th centuries.
I have been thinking for some time that we are on the cusp of something new. I don’t know exactly what it will be but I think it will be inspired by the big technological innovations of the late 20th century and early 21st century and it will be based on decentralized and self-organizing systems.
The Internet is, at its core, a scaled decentralized system. Its design has been a resounding success. It has scaled elegantly and gradually to well over 2bn users over fifty years. No central entity controls the Internet and it upgrades itself and scales itself slowly over time.
Open source software development communities are also an important development of the past fifty years. These communities come together to create and maintain new software systems and are not financed or governed by traditional corporate models. The goals of these communities are largely based on delivering new capabilities to the market and they don’t have capitalist based incentive systems and they have shown that in many instances they work better than traditional corporate models, Linux being the best example.
And, for the past decade or so, we have seen that modern cryptography and some important computer science innovations have led to decentralized blockchain systems, most notably Bitcoin and Ethereum. But there are many more to study and learn from. These blockchain systems are pushing forward our understanding of economic models, governance models, and security models.
I think it is high time that political scientists, philosophers, economists, and historians turn their attention to these new self-organizing and self-governing systems….(More)”.
Are blockchain applications guided by adequate social values?
Philip Boucher at EuroScientist: “…The way blockchains create fast, cheap and secure public records means that they also can be used for many non-financial tasks, such as casting votes in elections or proving that a document existed at a specific time. Blockchains are particularly well suited to situations where it is necessary to record ownership histories. For example, they could help keep track of how and where our diamonds are sourced and our clothes are made, or to be sure that our champagne really came from Champagne.
They could help us to finally resolve the problem of music and video piracy while enabling second-hand markets for digital media; just like we have for books and vinyl. They also present opportunities in all kinds of public services, such as health and welfare payments. At the frontier of blockchain development, self-executing contracts are paving the way for companies that run themselves without human intervention.
The opportunities are many, but there are also some challenges to consider. For example, blockchain’s transparency is fine for matters of public record such as land registries, but what about bank balances and other sensitive data? It is possible (albeit only sometimes and with substantial effort), to identify the individuals associated with transactions, which could compromise their privacy and anonymity. While some blockchains do offer full anonymity, some sensitive information simply should not be distributed in this way.
Technologies have social values
We often talk about blockchain’s economic and functional potential. These are important, but its most profound legacy may be in subtle changes to broad social values and political structures. Just because technologies can be used for both ‘good’ actions and ‘bad’ actions does not mean that they are neutral.
To the contrary, all technologies have values and politics, and they usually reinforce the interests of those that control them. Each time we use a centralised ledger – like a bank or government database – we confirm their owners’ legitimacy and strengthen their position.
Perhaps each time we use a decentralised blockchain ledger instead, we will participate in the gradual relegation of traditional financial and governance institutions and the prioritisation of transparency over anonymity. But this would only happen if we develop and use blockchains that have these values at their core….
We cannot know exactly where and how blockchain will change our lives. They have the potential to help us develop more transparent and distributed social and economic structures. However, we have to look closely to see whether this is really what we are getting.
The sharing economy also promised to connect individuals more directly, ousting middlemen and unburdening people from the intervention of states, banks and other traditional institutions. It also had a similar rhetoric of transition, disruption and even revolution. However, the most successful initiatives of this movement are, at heart, very effective middlemen. Even with ubiquitous blockchain development, we might not achieve the levels of transparency and distribution that we expected.
For example, as an alternative to the most open and transparent blockchain applications such as Bitcoin, so-called permissioned blockchains allow their creators to maintain some centralised control. These blockchains offer a more moderate form of decentralisation and are favoured by many governments and businesses.
Blockchains and regulation
For now, there is little appetite for intervention in blockchain development at a European level. Indeed, a recent European Parliament report on virtual currencies, published in May 2016, acknowledged the increased risks, which will require enhanced regulatory oversight and adequate technical expertise to handle such currencies. However, the report also calls for a proportionate EU regulatory approach to avoid hampering innovation in the field at such an early stage. This means that, for now, we will continue to analyse developments and promote dialogue amongst policymakers, businesses and citizens….(More)”
Online Field Experiments: Studying Social Interactions in Context
Paper by Paolo Parigi, Jessica J. Santana and Karen S. Cook in Social Psychology Quarterly: “Thanks to the Internet and the related availability of “Big Data,” social interactions and their environmental context can now be studied experimentally. In this article, we discuss a methodology that we term the online field experiment to differentiate it from more traditional lab-based experimental designs. We explain how this experimental method can be used to capture theoretically relevant environmental conditions while also maximizing the researcher’s control over the treatment(s) of interest. We argue that this methodology is particularly well suited for social psychology because of its focus on social interactions and the factors that influence the nature and structure of these interactions. We provide one detailed example of an online field experiment used to investigate the impact of the sharing economy on trust behavior. We argue that we are fundamentally living in a new social world in which the Internet mediates a growing number of our social interactions. These highly prevalent forms of social interaction create opportunities for the development of new research designs that allow us to advance our theories of social interaction and social structure with new data sources….(More)”.
Realising the Data Revolution for Sustainable Development: Towards Capacity Development 4.0
Report by Niels Keijzer and Stephan Klingebiel for Paris21: “An ever-deepening data revolution is shaping everyday lives in many parts of the world. As just one of many mindboggling statistics on Big Data, it has been estimated that by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. The benefits of the data revolution extend to different groups of people, social movements, institutions and businesses. Yet many people and countries do not have access to these positive benefits and in richer countries potentially positive changes raise suspicion amongst citizens as well as concerns related to privacy and confidentiality. The availability of potential advantages is, to a large extent, guided by levels of development and income. Despite the rapid spread of mobile phone technology that allows regions otherwise disconnected from the grid to ‘leapfrog’ in terms of using and producing data and statistics, poor people are still less likely to benefit from the dramatic changes in the field of data.
Against the background of the 2030 Agenda for Sustainable Development and its Sustainable Development Goals (SDGs), the main challenge for statistics is to manage the data revolution in support of sustainable development. The main priorities are the broadening and deepening of production, dissemination and use of data and statistics, and achieving them requires identifying those population groups which are most vulnerable and making governments more accountable to their citizens. In parallel, the risks accompanying the data revolution need to be mitigated and reduced, including the use of data for purposes of repression or otherwise infringing on the privacy of citizens. In addition to representing a universal agenda that breaks away from the dichotomy of developed and developing countries, the new agenda calls for tailor-made approaches in each country or region concerned, supported by global actions. The 2030 Agenda further states the international community’s realisation of the need to move away from ‘business as usual’ in international support for data and statistics.
The most important driving forces shaping the data revolution are domestic (legal) frameworks and public policies across the globe. This applies not only to wealthier countries but also developing countries2 , and external support cannot compensate for absent domestic leadership and investment. Technical, legal and political factors all affect whether countries are willing and able to succeed in benefiting from the data revolution. However, in both low income countries and lower-middle income countries, and to some extent in upper-middle income countries, we can observe two constraining factors in this regard, capacities and funding. These factors are, to some degree, interrelated: if funding is not sufficiently available it might be difficult to increase the capacities required, and if capacities are insufficient funding issues might be more challenging….(More)”
Governing through Goals
Book edited by Norichika Kanie and Frank Biermann: “In September 2015, the United Nations General Assembly adopted the Sustainable Development Goals as part of the 2030 Agenda for Sustainable Development. The Sustainable Development Goals built on and broadened the earlier Millennium Development Goals, but they also signaled a larger shift in governance strategies. The seventeen goals add detailed content to the concept of sustainable development, identify specific targets for each goal, and help frame a broader, more coherent, and transformative 2030 agenda. The Sustainable Development Goals aim to build a universal, integrated framework for action that reflects the economic, social, and planetary complexities of the twenty-first century.
This book examines in detail the core characteristics of goal setting, asking when it is an appropriate governance strategy and how it differs from other approaches; analyzes the conditions under which a goal-oriented agenda can enable progress toward desired ends; and considers the practical challenges in implementation….(More)”
What Algorithms Want
Book by Ed Finn: “We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It’s as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman’s curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking.
Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson’s Snow Crash to Diderot’s Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost’s satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google’s goal of anticipating our questions, Uber’s cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things.
If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities….(More)”