What we see when we see transparency


Matthew Taylor at the RSA: “…social coordination theory…. is one of the most powerful ways to analyse complex social problems and to develop effective solutions. I spoke this morning to the Transparency Task Force and it gave me an opportunity to apply the theory to the issue of corporate openness.

First, a very brief recap of the theory:

My own approach focusses on the four modes as approaches to the challenge of social coordination. Human beings are complex social beings who have to work together to survive and flourish. The hierarchical perspective puts emphasis on leadership, strategy and expertise as the way to coordinate human activity. The solidaristic view emphasises the glue of belonging and shared values. The individualistic view sees coordination as emerging largely spontaneously and its goal being to provide a platform of individual ambition and competitive endeavour. The fatalistic view sees effective coordination, variously, as intractable, unlikely to deliver intended outcomes or irrelevant to the things that make it hardest to be human.

Each mode has a substrate in human evolution and psychology – these competing theories have emerged from who we are as a species. Each mode or combination of modes has been dominant at different times in our history. Also, each mode generates behavioural and ideological predispositions: Solidaristic views – which emphasise membership and values – are often associated with rigid ideologies (on both the left and right); individualism goes with liberal attitudes (again of both left and right varieties).

In a kind of fractal which stretches from individual preferences to global problem solving, each mode is available as a perspective on complex social problems. Crucially, for the kind of problems which the modern world increasingly generates, the best solutions will combine aspects of each method. But there is a problem: each mode is, in part, a critique of the others. Each has both benign and malign aspects; hierarchy can be strategic and overbearing, individualism can be enterprising and selfish, solidarity can be altruistic and tribal, fatalism can be stoical and defeatist. The theory explains why success can so quickly turn to failure. Even when the modes are successfully combined – what I call a ‘fully engaged’ solution – internal dynamics or external shocks will sooner or later upset the balance.

This is all rather theoretical so let me be more concrete. If we are trying to solve a problem like encouraging and enabling a corporation to be more transparent we need to understand the arguments both in favour and against such a move from each of the perspectives. If we don’t many people, many ideas and many approaches will be ignored. In short, we will be much more likely to fail.

Here is a simple guide to what might be seen as the pros and cons of greater transparency from the four standpoints:

perspectives on transparency Matthew Taylor

People in authority and those who see things from a hierarchical perspective (we all see things from different perspectives at different times and in different places) will worry that transparency will make decision making more difficult and that, by opening up things like the underlying business model to scrutiny by customers and competitors, it would threaten the interests of the organisation. Conversely, the hierarchical case for transparency is that it can increase trust and understanding towards leaders and the challenges they face and it can aid alignment, clarity and commitment by exposing practices that don’t fit with corporate strategy.

Those who approach things from a solidaristic perspective are often the most outspoken champions of transparency. They see it as increasing integrity as companies have to live up to their stated values and fairness as unfair practices are exposed.  However, there are also solidaristic concerns; what if transparency exposes vulnerable people or if transparency makes life harder for the team to which I belong (the company or my part of the company)?

From an individualistic starting point transparency can be viewed suspiciously as promoting a focus on process rather than outcomes and also being adverse to risk and reward (you can justify the means by the ends only if you have been able to achieve the ends without someone looking over your shoulder). On the other hand, the individualistic case for transparency can cite its contribution to innovation (by looking under the bonnet and seeing all the working parts we have better insights into what can be improved) and the promotion of rewards based on fair competition instead of covert rent-seeking or organisational nepotism.

Finally, those in a fatalistic mind set will tend to see transparency as either irrelevant or – and this is a more forensic critique – illusory (the secret stuff will just get hidden better). However there is also an appeal to be made to fatalists that transparency can help reveal warning signs of future dangers and make it easier to mount a defence when things go wrong (‘even if we failed, we can show that we tried’).

To win the case for transparency and also to implement it effectively its advocates need to stress the positives from the different perspectives and also address the legitimate concerns; both of which should make it easier to confront objections that are not reasonable. …(More)”

Living in the World of Both/And


Essay by Adene Sacks & Heather McLeod Grant  in SSIR: “In 2011, New York Times data scientist Jake Porway wrote a blog post lamenting the fact that most data scientists spend their days creating apps to help users find restaurants, TV shows, or parking spots, rather than addressing complicated social issues like helping identify which teens are at risk of suicide or creating a poverty index of Africa using satellite data.

That post hit a nerve. Data scientists around the world began clamoring for opportunities to “do good with data.” Porway—at the center of this storm—began to convene these scientists and connect them to nonprofits via hackathon-style events called DataDives, designed to solve big social and environmental problems. There was so much interest, he eventually quit his day job at the Times and created the organization DataKind to steward this growing global network of data science do-gooders.

At the same time, in the same city, another movement was taking shape—#GivingTuesday, an annual global giving event fueled by social media. In just five years, #GivingTuesday has reshaped how nonprofits think about fundraising and how donors give. And yet, many don’t know that 92nd Street Y (92Y)—a 140-year-old Jewish community and cultural center in Manhattan, better known for its star-studded speaker series, summer camps, and water aerobics classes—launched it.

What do these two examples have in common? One started as a loose global network that engaged data scientists in solving problems, and then became an organization to help support the larger movement. The other started with a legacy organization, based at a single site, and catalyzed a global movement that has reshaped how we think about philanthropy. In both cases, the founding groups have incorporated the best of both organizations and networks.

Much has been written about the virtues of thinking and acting collectively to solve seemingly intractable challenges. Nonprofit leaders are being implored to put mission above brand, build networks not just programs, and prioritize collaboration over individual interests. And yet, these strategies are often in direct contradiction to the conventional wisdom of organization-building: differentiating your brand, developing unique expertise, and growing a loyal donor base.

A similar tension is emerging among network and movement leaders. These leaders spend their days steering the messy process required to connect, align, and channel the collective efforts of diverse stakeholders. It’s not always easy: Those searching to sustain movements often cite the lost momentum of the Occupy movement as a cautionary note. Increasingly, network leaders are looking at how to adapt the process, structure, and operational expertise more traditionally associated with organizations to their needs—but without co-opting or diminishing the energy and momentum of their self-organizing networks…

Welcome to the World of “Both/And”

Today’s social change leaders—be they from business, government, or nonprofits—must learn to straddle the leadership mindsets and practices of both networks and organizations, and know when to use which approach. Leaders like Porway, and Henry Timms and Asha Curran of 92Y can help show us the way.

How do these leaders work with the “both/and” mindset?

First, they understand and leverage the strengths of both organizations and networks—and anticipate their limitations. As Timms describes it, leaders need to be “bilingual” and embrace what he has called “new power.” Networks can be powerful generators of new talent or innovation around complex multi-sector challenges. It’s useful to take a network approach when innovating new ideas, mobilizing and engaging others in the work, or wanting to expand reach and scale quickly. However, networks can dissipate easily without specific “handrails,” or some structure to guide and support their work. This is where they need some help from the organizational mindset and approach.

On the flip side, organizations are good at creating centralized structures to deliver products or services, manage risk, oversee quality control, and coordinate concrete functions like communications or fundraising. However, often that efficiency and effectiveness can calcify over time, becoming a barrier to new ideas and growth opportunities. When organizational boundaries are too rigid, it is difficult to engage the outside world in ideating or mobilizing on an issue. This is when organizations need an infusion of the “network mindset.”

 

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Beware of the gaps in Big Data


Edd Gent at E&T: “When the municipal authority in charge of Boston, Massachusetts, was looking for a smarter way to find which roads it needed to repair, it hit on the idea of crowdsourcing the data. The authority released a mobile app called Street Bump in 2011 that employed an elegantly simple idea: use a smartphone’s accelerometer to detect jolts as cars go over potholes and look up the location using the Global Positioning System. But the approach ran into a pothole of its own.The system reported a disproportionate number of potholes in wealthier neighbourhoods. It turned out it was oversampling the younger, more affluent citizens who were digitally clued up enough to download and use the app in the first place. The city reacted quickly, but the incident shows how easy it is to develop a system that can handle large quantities of data but which, through its own design, is still unlikely to have enough data to work as planned.

As we entrust more of our lives to big data analytics, automation problems like this could become increasingly common, with their errors difficult to spot after the fact. Systems that ‘feel like they work’ are where the trouble starts.

Harvard University professor Gary King, who is also founder of social media analytics company Crimson Hexagon, recalls a project that used social media to predict unemployment. The model was built by correlating US unemployment figures with the frequency that people used words like ‘jobs’, ‘unemployment’ and ‘classifieds’. A sudden spike convinced researchers they had predicted a big rise in joblessness, but it turned out Steve Jobs had died and their model was simply picking up posts with his name. “This was an example of really bad analytics and it’s even worse because it’s the kind of thing that feels like it should work and does work a little bit,” says King.

Big data can shed light on areas with historic information deficits, and systems that seem to automatically highlight the best course of action can be seductive for executives and officials. “In the vacuum of no decision any decision is attractive,” says Jim Adler, head of data at Toyota Research Institute in Palo Alto. “Policymakers will say, ‘there’s a decision here let’s take it’, without really looking at what led to it. Was the data trustworthy, clean?”…(More)”

Crowdsource Europe wants people to write their own constitution


Deutsche Welle: “A public interest organization called Crowdsource Europe wants citizens to formulate their own constitution. If successful, the document could even replace the Lisbon treaty, the campaign’s organizers say.

“Crowdsource Europe is building a platform to work together with all Europeans to create a People’s Constitution, by the people, for the people,” the organizers said on their website. The goal is to create a document that captures the shared values and collective ideas for the future of Europe.

“We launched the project in May 2016. The motivation was to let the people of Europe decide what the EU should be about. Cooperation within Europe is important, but too often people don’t feel connected with the EU where technocrats decide from their ivory tower,” the project’s organizers Thomas de Groot, Mathijs Pontier and Melissa Koutouzis told DW.

 De Groot, Pontier and Koutouzis, who are members of the Amsterdam Pirate Party, want to show the European Parliament that people can work together to shape a European future.

“In the current representative democracy, people have the ability to vote once every several years (five years in the case of the European Parliament). After that, the possibilities for participation are very limited. As a result, many people don’t feel represented, and many people don’t even make the effort to vote for the European Parliament,” they told DW.

Crowdsource Europe’s idea of “interactive democracy” helps bridge that gap. In this concept, everyone has the ability to propose ideas and discuss them….Writing a constitution, especially the way de Groot and his partners Pontier and Koutouzis envisage it, is very easy. Interested people can log on to the People’s Constitution website (https://peoplesconstitution.eu/). A “How-to” tab explains users the ways in which they can enter their details and descriptions of laws they want added into the “constitution.”…The idea of writing a people’s constitution for all of Europe was inspired by

The idea of writing a people’s constitution for all of Europe was inspired by Iceland’s experiment in redrafting the document….(More)”

The Wisdom of the Crowd is what science really needs


Science/Disrupt: “In a world where technology allows for global collaboration, and in a time when we’re finally championing diversity of thought, there are few barriers to getting the right people together to work on some of our most pressing problems. Governments and research labs are attempting to apply this mentality to science through what is known as ‘Citizen Science’ – research conducted in part by the public (amateur scientists) in partnership with the professionals.

The concept of Citizen Science is brilliant: moving science forward, faster, by utilising the wisdom and volume of the crowd. …

But Citizen Science goes beyond working directly with people with specific data to share. Zooniverse – the home of Citizen Science online – lists hundreds of projects which anyone can get involved with to help advance science. From mapping the galaxy and looking for comets, to seeking outAustralian wildlife and helping computers understand animal faces, the projects span across many subjects.

But when you dig deeper into the tasks being asked of these CitizenScientists, you find that – really – it’s a simple data capture activity. There’s no skill involved other than engaging your eyes to see and fingers to click and type. It’s not the wisdom of the crowd which is being tapped into.

You could argue that people are interested purely in being a part of important research – which of course is true for many – but it misses the point that scientists are simply missing out on a great resource of intellect at their fingertips.

There has been a rise of crowdsourced solutions over the last few years. rLoopis an organisation formed over Reddit to propose a Hyperloop transportation capsule; Techfugees is a Global community of technologists who team up to propose and build solutions to problems facing the increasing numbers of refugees around the world;  and XPRIZE is an open competition offering winning teams large sums of money and support to solve the global problems they select each year.

The difference between crowdsourcing and Citizen Science is that in the former, a high value is placed on ideas. There’s a general understanding that‘two minds are better than one’ and that by empowering a larger, more diverse pool of people to engage with important and purposeful work, a better solution will be found faster.

With Citizen Science, the mood is that of the public only being capable of playing hide and seek with pictures and completing menial, time consuming work that the scientists are simply too busy to do. …(More)”

International Fact-Checking Network fact-checkers’ code of principles


Poynter: “…The following document is the result of consultations among fact-checkers from around the world. It offers conscientious practitioners principles to aspire to in their everyday work.

(1)  A COMMITMENT TO NONPARTISANSHIP AND FAIRNESS

We fact-check claims using the same standard for every fact check. We do not concentrate our fact-checking on any one side. We follow the same process for every fact check and let the evidence dictate our conclusions. We do not advocate or take policy positions on the issues we fact-check.

(2) A COMMITMENT TO TRANSPARENCY OF SOURCES

We want our readers to be able to verify our findings themselves. We provide all sources in enough detail that readers can replicate our work, except in cases where a source’s personal security could be compromised. In such cases, we provide as much detail as possible.

(3) A COMMITMENT TO TRANSPARENCY OF FUNDING & ORGANIZATION

We are transparent about our funding sources. If we accept funding from other organizations, we ensure that funders have no influence over the conclusions we reach in our reports. We detail the professional background of all key figures in our organization and explain our organizational structure and legal status. We clearly indicate a way for readers to communicate with us.

(4) A COMMITMENT TO TRANSPARENCY OF METHODOLOGY

We explain the methodology we use to select, research, write, edit, publish and correct our fact checks. We encourage readers to send us claims to fact-check and are transparent on why and how we fact-check.

(5) A COMMITMENT TO OPEN AND HONEST CORRECTIONS

We publish our corrections policy and follow it scrupulously. We correct clearly and transparently in line with our corrections policy, seeking so far as possible to ensure that readers see the corrected version….(More)”

Responsible Data in Agriculture


Report by Lindsay Ferris and Zara Rahman for GODAN: “The agriculture sector is creating increasing amounts of data, from many different sources. From tractors equipped with GPS tracking, to open data released by government ministries, data is becoming ever more valuable, as agricultural business development and global food policy decisions are being made based upon data. But the sector is also home to severe resource inequality. The largest agricultural companies make billions of dollars per year, in comparison with subsistence farmers growing just enough to feed themselves, or smallholder farmers who grow enough to sell on a year-by-year basis. When it comes to data and technology, these differences in resources translate to stark power imbalances in data access and use. The most well resourced actors are able to delve into new technologies and make the most of those insights, whereas others are unable to take any such risks or divert any of their limited resources. Access to and use of data has radically changed the business models and behaviour of some of those well resourced actors, but in contrast, those with fewer resources are receiving the same, limited access to information that they always have.

In this paper, we have approached these issues from a responsible data perspective, drawing upon the experience of the Responsible Data community1 who over the past three years have created tools, questions and resources to deal with the ethical, legal, privacy and security challenges that come from new uses of data in various sectors. This piece aims to provide a broad overview of some of the responsible data challenges facing these actors, with a focus on the power imbalance between actors, and looking into how that inequality affects behaviour when it comes to the agricultural data ecosystem. What are the concerns of those with limited resources, when it comes to this new and rapidly changing data environment? In addition, what are the ethical grey areas or uncertainties that we need to address in the future? As a first attempt to answer these questions, we spoke to 14 individuals with various perspectives on the sector to understand what the challenges are for them and for the people they work with. We also carried out desk research to dive deeper into these issues, and we provide here an analysis of our findings and responsible data challenges….(More)”

Bouchra Khalili: The Mapping Journey Project


MOMA (NYC): “This exhibition presents, in its entirety, Bouchra Khalili’s The Mapping Journey Project (2008–11), a series of videos that details the stories of eight individuals who have been forced by political and economic circumstances to travel illegally and whose covert journeys have taken them throughout the Mediterranean basin. Khalili (Moroccan-French, born 1975) encountered her subjects by chance in transit hubs across Europe, North Africa, and the Middle East. Following an initial meeting, the artist invited each person to narrate his or her journey and trace it in thick permanent marker on a geopolitical map of the region. The videos feature the subjects’ voices and their hands sketching their trajectories across the map, while their faces remain unseen.

The stories are presented on individual screens positioned throughout MoMA’s Donald B. and Catherine C. Marron Atrium. In this way, a complex network of migration is narrated by those who have experienced it, refusing the forms of representation and visibility demanded by systems of surveillance, international border control, and the news media. Shown together, the videos function as an alternative geopolitical map defined by the precarious lives of stateless people. Khalili’s work takes on the challenge of developing critical and ethical approaches to questions of citizenship, community, and political agency….(More)”

More African governments are enacting open data policies but still aren’t willing to share information


Joshua Masinde at Quartz Africa: “Working as a data journalist and researcher in Uganda, Lydia Namubiru does not remember a moment she had an easy time accessing official government data in the execution of her work. She has had to literally beg for such information from officials with little success.

In June this year, she approached the Uganda Bureau of Statistics seeking a nationally representative sample of micro data from the country’s 2014 census. Despite frequent calls and emails, she is still waiting for the information from the bureau several months down the line….

It doesn’t have to be that way of course. In neighboring Kenya there’s much optimism there’ll be a different attitude to open data. Last month civil society activists and supporters of open data celebrated the government signing the Access to Information bill into law. It comes after many years of lobbying….

Despite well-earned reputations of authoritarianism and conservative attitudes to governance, it turns out more African governments are opening up to their citizens in the guise of espousing transparency and accountability in the conduct of their affairs.

However, in truth, a government saying it’s allowing citizens to access data or information is very different from the actual practice of enabling that access. For the most part, several governments’ open data initiatives often serve far more mundane purposes and may not be the data that citizens really want—the kind that potentially exposes corruption or laxity in public service…

“Countries that have embraced open data have seen real savings in public spending and improved efficiency in services. Nowhere is this more vital than in our nations – many of which face severe health and education crises,” Nnenna Nwakanma, Africa regional coordinator at World Wide Web Foundation,points out.

 What is more prevalent now is what some open data advocates call ‘open washing’, which is described as a real threat to the open data movement according to the World Wide Web Foundation. By ‘open washing’, governments merely enact open data policies but do not follow through to full implementation. Others simply put in place strong freedom of information and right to information laws but do not really let the citizens take full advantage of the open data. This could, however, be as a result of institutional shortcomings, internal bureaucracies or lack of political will.

As the initiatives towards open data gather steam, challenges such as government agencies being unwilling to release official information as well as state bureaucracies are still prominent. Many governments are also only keen on releasing information that will not portray them as ‘naked’ but that which they feel will project them in positive light. But, as to whether laws will make governments more open, even with the information that citizens really need, is a matter of conjecture. For Namubiru, open data should be a culture that grows more subtly than by way of just passing laws for the sake of it.

“If they release enough packets of data on what they consider neutral or positive information, the storytellers will still be able to connect the dots.”…(More)”

Evidence-based policy making in the social sciences: Methods that matter


Book edited by Gerry Stoker and Mark Evans: “Drawing on the insights of some of the world’s leading authorities in public policy analysis, this important book offers a distinct and critical showcase of emerging forms of discovery for policy-making. Chapter by chapter this expert group of social scientists showcase their chosen method or approach, showing the context, the method’s key features and how it can be applied in practice, including the scope and limitations of its application and value to policy makers. Arguing that it is not just econometric analysis, cost benefit or surveys that can do policy work, the contributors demonstrate a range of other methods that can provide evidenced-based policy insights and how they can help facilitate progressive policy outcomes…(More)”