Spanning Today’s Chasms: Seven Steps to Building Trusted Data Intermediaries


James Shulman at the Mellon Foundation: “In 2001, when hundreds of individual colleges and universities were scrambling to scan their slide libraries, The Andrew W. Mellon Foundation created a new organization, Artstor, to assemble a massive library of digital images from disparate sources to support teaching and research in the arts and humanities.

Rather than encouraging—or paying for—each school to scan its own slide of the Mona Lisa, the Mellon Foundation created an intermediary organization that would balance the interests of those who created, photographed and cared for art works, such as artists and museums, and those who wanted to use such images for the admirable calling of teaching and studying history and culture.  This organization would reach across the gap that separated these two communities and would respect and balance the interests of both sides, while helping each accomplish their missions.  At the same time that Napster was using technology to facilitate the un-balanced transfer of digital content from creators to users, the Mellon Foundation set up a new institution aimed at respecting the interests of one side of the market and supporting the socially desirable work of the other.

As the internet has enabled the sharing of data across the world, new intermediaries have emerged as entire platforms. A networked world needs such bridges—think Etsy or Ebay sitting between sellers and buyers, or Facebook sitting between advertisers and users. While intermediaries that match sellers and buyers of things provide a marketplace to bridge from one side or the other, aggregators of data work in admittedly more shadowy territories.

In the many realms that market forces won’t support, however, a great deal of public good can be done by aggregating and managing access to datasets that might otherwise continue to live in isolation. Whether due to institutional sociology that favors local solutions, the technical challenges associated with merging heterogeneous databases built with different data models, intellectual property limitations, or privacy concerns, datasets are built and maintained by independent groups that—if networked—could be used to further each other’s work.

Think of those studying coral reefs, or those studying labor practices in developing markets, or child welfare offices seeking to call upon court records in different states, or medical researchers working in different sub-disciplines but on essentially the same disease.  What intermediary invests in joining these datasets?  Many people assume that computers can simply “talk” to each other and share data intuitively, but without targeted investment in connecting them, they can’t.  Unlike modern databases that are now often designed with the cloud in mind, decades of locally created databases churn away in isolation, at great opportunity cost to us all.

Art history research is an unusually vivid example. Most people can understand that if you want to study Caravaggio, you don’t want to hunt and peck across hundreds of museums, books, photo archives, libraries, churches, and private collections.  You want all that content in one place—exactly what Mellon sought to achieve by creating Artstor.

What did we learn in creating Artstor that might be distilled as lessons for others taking on an aggregation project to serve the public good?….(More)”.

Regulatory sandbox lessons learned report


Financial Conduct Authority (UK): “The sandbox allows firms to test innovative products, services or business models in a live market environment, while ensuring that appropriate protections are in place. It was established to support the FCA’s objective of promoting effective competition in the interests of consumers and opened for applications in June 2016.

The sandbox has supported 50 firms from 146 applications received across the first two cohorts. This report sets out the sandbox’s overall impact on the market including the adoption of new technologies, increasing access and improving experiences for vulnerable consumers as well as lessons learnt from individual tests that have been, or are being, conducted as part of the sandbox.

Early indications suggest the sandbox is providing the benefits it set out to achieve with evidence of the sandbox enabling new products to be tested, reducing time and cost of getting innovative ideas to market, improving access to finance for innovators, and ensuring appropriate safeguards are built into new products and services.

We will be using these learnings to inform any future sandbox developments as well as our ongoing policymaking and supervision work….(More)”.

You weren’t supposed to have to think about politics


Bonnie Kristian at The Week: “You were not supposed to have to think about politics.

Not this much, anyway. Good citizenship was not supposed to entail paying obsessive attention to a 24-hour news cycle. It was not supposed to demand conversational knowledge, at any given moment, of at least 15 issues of national importance. It was not supposed to be the task of each American to have An Informed Opinion on What the Government Should Do about every matter of state.

America’s founders never wanted politics to be a major occupation of your mind. It was not supposed to feature prominently among your worries. Most of the time, it was not supposed to be your responsibility.

I know, I know, we learn in grade school that America is a democracy, and each of us must do our part to ensure good governance “of the people, by the people, and for the people.” This may be inspirational for children, but it is not entirely true.

The United States’ government has democratic elements, yes, and, in some ways, it has become more democratic with time. (In other ways, it hasbecome less democratic, and I’ll leave it to the reader to decide whether the net change is a loss or gain.) To say our country is a republic rather than a democracy is also misleading, but it does remind us of an important point: Our federal system is representational. It is not direct democracy. Each of us does not weigh in on everything. Instead, we periodically vote on representatives who will weigh in on our behalf while we do other, better things.

This is with good reason. At the most practical level, direct democracy was always impossible for a country of the United States’ size. And even now, assuming technology could be secure enough to use without concern over hacking and other malicious manipulation, there is cause to reject direct democracy: A system designed to force every responsible citizen to pay constant attention to politics is not desirable.

We elect representatives to do the great bulk of our politicking for us because we have more important things to do. We have families to raise and jobs to work and homes to maintain. We have our own areas of interest and expertise, our own relationships to cultivate. And, crucially, we have limited time, energy, and mental space. Some of us may choose to make politics our hobby or occupation, but all of us should not have to make that choice.

Politics is one aspect of our society. It is one part of many. We all no more need to be politicos, amateur or professional, than we all need to be philosophers or writers or tailors or dog rescuers or plumbers. Philosophy, books, clothes, rescue dogs, and working toilets are all important, just as politics is, but they are not everyone’s concern all the time. They are some people’s profession and the hobbies of others, but for most of us, these and any other field of work or pastime are only occasionally encountered…(More)”

Opening Government to Improve Outcomes


Laura Wesley at Canada Beyond 150: “Open Government is a concept. It’s a view into government. It’s an invitation to stakeholders, citizens and civil society to help shape government decisions and actions. It is not a program or policy, yet both can be part of achieving the vision of a government that encourages civic participation, invites accountability and demonstrates transparency. Examples of open government include proactively disclosing financial and human resources-related information online and publishing expenditures that can be displayed visually or as machine-readable charts. These measures are intended to strengthen public sector management.

From my place within the public service, I see opening government as a verb. To me, it’s what we are doing to create opportunities for people – wherever they work or reside – to contribute to the activities that go into governing so that the country reflects the values of those who live in it. Engaging citizens and stakeholders in the context of policy shaping builds trust, seeks others’ perspectives, enables accountability, and allows us to collectively design better policy, programs and services.

What is engagement in the context of public policy?

Engagement processes can be structured and formal like parliamentary committees to study an issue or those that allow for anyone to provide feedback on legislation as it moves through Parliament. They can be done by elected officials or by public servants working on their behalf, for example, through processes that invite stakeholders to comment on proposed regulatory or legislative changes. They can be informal, like hosting conversations online. They can be open and transparent, moderated or unmoderated, multilateral or bilateral. There are many options, yet deciding which methods to employ at the right time can be cloaked in complexity, with much at risk if we get it wrong. So how can we teach “engagement” as a mechanism to improve policy-shaping?

Canada Beyond 150 is a participatory learning program for public servants to experience new ways of developing and delivering public policy. I was excited to learn that engagement, along with design and foresight, was one of the three pillars of the program. My team had mapped some of the system-wide gaps that needed to be filled in order to build the organizational muscle required to engage broadly; this was our chance to understand how to support new public servants through change….(More)”.

Republics of Makers: From the Digital Commons to a Flat Marginal Cost Society


Mario Carpo at eFlux: “…as the costs of electronic computation have been steadily decreasing for the last forty years at least, many have recently come to the conclusion that, for most practical purposes, the cost of computation is asymptotically tending to zero. Indeed, the current notion of Big Data is based on the assumption that an almost unlimited amount of digital data will soon be available at almost no cost, and similar premises have further fueled the expectation of a forthcoming “zero marginal costs society”: a society where, except for some upfront and overhead costs (the costs of building and maintaining some facilities), many goods and services will be free for all. And indeed, against all odds, an almost zero marginal cost society is already a reality in the case of many services based on the production and delivery of electricity: from the recording, transmission, and processing of electrically encoded digital information (bits) to the production and consumption of electrical power itself. Using renewable energies (solar, wind, hydro) the generation of electrical power is free, except for the cost of building and maintaining installations and infrastructure. And given the recent progress in the micro-management of intelligent electrical grids, it is easy to imagine that in the near future the cost of servicing a network of very small, local hydro-electric generators, for example, could easily be devolved to local communities of prosumers who would take care of those installations as their tend to their living environment, on an almost voluntary, communal basis.4 This was already often the case during the early stages of electrification, before the rise of AC (alternate current, which, unlike DC, or direct current, could be carried over long distances): AC became the industry’s choice only after Galileo Ferraris’s and Nikola Tesla’s developments in AC technologies in the 1880s.

Likewise, at the micro-scale of the electronic production and processing of bits and bytes of information, the Open Source movement and the phenomenal surge of some crowdsourced digital media (including some so-called social media) in the first decade of the twenty-first century has already proven that a collaborative, zero cost business model can effectively compete with products priced for profit on a traditional marketplace. As the success of Wikipedia, Linux, or Firefox proves, many are happy to volunteer their time and labor for free when all can profit from the collective work of an entire community without having to pay for it. This is now technically possible precisely because the fixed costs of building, maintaining, and delivering these service are very small; hence, from the point of view of the end-user, negligible.

Yet, regardless of the fixed costs of the infrastructure, content—even user-generated content—has costs, albeit for the time being these are mostly hidden, voluntarily born, or inadvertently absorbed by the prosumers themselves. For example, the wisdom of Wikipedia is not really a wisdom of crowds: most Wikipedia entries are de facto curated by fairly traditional scholar communities, and these communities can contribute their expertise for free only because their work has already been paid for by others—often by universities. In this sense, Wikipedia is only piggybacking on someone else’s research investments (but multiplying their outreach, which is one reason for its success). Ditto for most Open Source software, as training a software engineer, coder, or hacker, takes time and money—an investment for future returns that in many countries around the world is still born, at least in part, by public institutions….(More)”.

Dawn of the techlash


Rachel Botsman at the Guardian: “…Once seen as saviours of democracy, those titans are now just as likely to be viewed as threats to truth or, at the very least, impassive billionaires falling down on the job of monitoring their own backyards.

It wasn’t always this way. Remember the early catchy slogans that emerged from those ping-pong-tabled tech temples in Silicon Valley? “A place for friends”“Don’t be evil” or “You can make money without being evil” (rather poignant, given what was to come). Users were enchanted by the sudden, handheld power of a smartphone to voice anything, access anything; grassroots activist movements revelled in these new tools for spreading their cause. The idealism of social media – democracy, friction-free communication, one-button socialising proved infectious.

So how did that unbridled enthusiasm for all things digital morph into a critical erosion of trust in technology, particularly in politics? Was 2017 the year of reckoning, when technology suddenly crossed to the dark side or had it been heading that way for some time? It might be useful to recall how social media first discovered its political muscle….

Technology is only the means. We also need to ask why our political ideologies have become so polarised, and take a hard look at our own behaviour, as well as that of the politicians themselves and the partisan media outlets who use these platforms, with their vast reach, to sow the seeds of distrust. Why are we so easily duped? Are we unwilling or unable to discern what’s true and what isn’t or to look for the boundaries between opinion, fact and misinformation? But what part are our own prejudices playing?

Luciano Floridi, of the Digital Ethics Lab at Oxford University, points out that technology alone can’t save us from ourselves. “The potential of technology to be a powerful positive force for democracy is huge and is still there. The problems arise when we ignore how technology can accentuate or highlight less attractive sides of human nature,” he says. “Prejudice. Jealousy. Intolerance of different views. Our tendency to play zero sum games. We against them. Saying technology is a threat to democracy is like saying food is bad for you because it causes obesity.”

It’s not enough to blame the messenger. Social media merely amplifies human intent – both good and bad. We need to be honest about our own, age-old appetite for ugly gossip and spreading half-baked information, about our own blindspots.

Is there a solution to it all? Plenty of smart people are working on technical fixes, if for no other reason than the tech companies know it’s in their own best interests to stem the haemorrhaging of trust. Whether they’ll go far enough remains to be seen.

We sometimes forget how uncharted this new digital world remains – it’s a work in progress. We forget that social media, for all its flaws, still brings people together, gives a voice to the voiceless, opens vast wells of information, exposes wrongdoing, sparks activism, allows us to meet up with unexpected strangers. The list goes on. It’s inevitable that there will be falls along the way, deviousness we didn’t foresee. Perhaps the present danger is that in our rush to condemn the corruption of digital technologies, we will unfairly condemn the technologies themselves….(More).

The People’s Right to Know and State Secrecy


Dorota Mokrosinska at the Canadian Journal of Law and Jurisprudence: “Among the classic arguments which advocates of open government use to fight government secrecy is the appeal to a “people’s right to know.” I argue that the employment of this idea as a conceptual weapon against state secrecy misfires. I consider two prominent arguments commonly invoked to support the people’s right to know government-held information: an appeal to human rights and an appeal to democratic citizenship. While I concede that both arguments ground the people’s right to access government information, I argue that they also limit this right and in limiting it, they establish a domain of state secrecy. The argument developed in the essay provides a novel interpretation of Dennis Thompson’s claim, who in his seminal work on the place of secrecy in democratic governance, has argued that some of the best reasons for secrecy are the same reasons that argue for openness and against secrecy….(More)”.

Landscape of Innovation Approaches


Bas Leurs at Nesta: “Through our work in the Innovation Skills team, we often find ourselves being asked by governments and civil servants which innovation tools and techniques they should use. So what innovation approaches are there that can be applied in the public sector? And how are they related to each other?

With these questions in mind, over the last couple of years we’ve been mapping out the various innovation methods and approaches we’ve come across from studying innovation practice and our many conversations with different lab practitioners, colleagues and other innovation experts.

Download this diagram as a PDF.

The map we’ve created provides an overview of innovation methods and approaches that help people make sense of reality, and approaches that help develop solutions and interventions to create change.

Understanding and shaping reality

The approaches mapped out in the diagram are structured into four spaces: intelligence, solution, technology and talent. These spaces are built on the premise that in order to create change, you need to make sense and understand reality, as well as develop solutions and interventions to change that reality:

  • intelligence space – focuses on approaches that help you make sense of and conceptualise reality

  • solution space – focuses on methods that help you test and develop solutions

In terms of mindsets, you could say that the intelligence space is more academic, whereas the solution space involves more of an entrepreneurial approach. The activities in these are supported by two further spaces:

  • technology space – includes approaches and technology that enable action and change, such as digital tools and data-related methods

  • talent space – focuses on how to mobilise talent, develop skills and increase organisational readiness in order to ultimately make change happen…(More)”.

Artificial intelligence and privacy


Report by the The Norwegian Data Protection Authority (DPA): “…If people cannot trust that information about them is being handled properly, it may limit their willingness to share information – for example with their doctor, or on social media. If we find ourselves in a situation in which sections of the population refuse to share information because they feel that their personal integrity is being violated, we will be faced with major challenges to our freedom of speech and to people’s trust in the authorities.

A refusal to share personal information will also represent a considerable challenge with regard to the commercial use of such data in sectors such as the media, retail trade and finance services.

About the report

This report elaborates on the legal opinions and the technologies described in the 2014 report «Big Data – privacy principles under pressure». In this report we will provide greater technical detail in describing artificial intelligence (AI), while also taking a closer look at four relevant AI challenges associated with the data protection principles embodied in the GDPR:

  • Fairness and discrimination
  • Purpose limitation
  • Data minimisation
  • Transparency and the right to information

This represents a selection of data protection concerns that in our opinion are most relevance for the use of AI today.

The target group for this report consists of people who work with, or who for other reasons are interested in, artificial intelligence. We hope that engineers, social scientists, lawyers and other specialists will find this report useful….(More) (Download Report)”.

Earth Observation Open Science and Innovation


Open Access book edited by Pierre-Philippe Mathieu and Christoph Aubrecht: “Over  the  past  decades,  rapid developments in digital and sensing technologies, such  as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the  way we access, process and exploit Earth Observation data from satellites.

This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites….(More)”.