Building Democratic Infrastructure


Hollie Russon Gilman, K. Sabeel Rahman, & Elena Souris in Stanford Social Innovation Review: “How can civic engagement be effective in fostering an accountable, inclusive, and responsive American democracy? This question has gained new relevance under the Trump administration, where a sense of escalating democratic crises risks obscuring any nascent grassroots activism. Since the 2016 election, the twin problems of authoritarianism and insufficient political accountability have attracted much attention, as has the need to mobilize for near-future elections. These things are critical for the long-term health of American democracy, but at the same time, it’s not enough to focus solely on Washington or to rely on electoral campaigns to salvage our democracy.

Conventional civic-engagement activities such as canvassing, registering voters, signing petitions, and voting are largely transient experiences, offering little opportunity for civic participation once the election is over. And such tactics often do little to address the background conditions that make participation more difficult for marginalized communities.

To address these issues, civil society organization and local governments should build more long-term and durable democratic infrastructure, with the aim of empowering constituencies to participate in meaningful and concrete ways, overcoming division within our societies, and addressing a general distrust of government by enhancing accountability.

In our work with groups like the Center for Rural Strategies in Appalachia and the Chicago-based Inner-City Muslim Action Network, as well as with local government officials in Eau Claire, Wis. and Boston, Mass., we identify two areas where can help build a broader democratic infrastructure for the long haul. First, we need to support and radically expand efforts by local-level government officials to innovate more participatory and accountable forms of policymaking. And then we need to continue developing new methods of diverse, cross-constituency organizing that can help build more inclusive identities and narratives. Achieving this more-robust form of democracy will require that many different communities—including organizers and advocacy groups, policymakers and public officials, technologists, and funders—combine their efforts….(More)”.

Trustworthy data will transform the world


 at the Financial Times: “The internet’s original sin was identified as early as 1993 in a New Yorker cartoon. “On the internet, nobody knows you’re a dog,” the caption ran beneath an illustration of a pooch at a keyboard. That anonymity has brought some benefits. But it has also created myriad problems, injecting distrust into the digital world. If you do not know the provenance and integrity of information and data, how can you trust their veracity?

That has led to many of the scourges of our times, such as cyber crime, identity theft and fake news. In his Alan Turing Institute lecture in London last week, the American computer scientist Sandy Pentland outlined the massive gains that could result from trusted data.

The MIT professor argued that the explosion of such information would give us the capability to understand our world in far more detail than ever before. Most of what we know in the fields of sociology, psychology, political science and medicine is derived from tiny experiments in controlled environments. But the data revolution enables us to observe behaviour as it happens at mass scale in the real world. That feedback could provide invaluable evidence about which theories are most valid and which policies and products work best.

The promise is that we make soft social science harder and more predictive. That, in turn, could lead to better organisations, fairer government, and more effective monitoring of our progress towards achieving collective ambitions, such as the UN’s sustainable development goals. To take one small example, Mr Pentland illustrated the strong correlation between connectivity and wealth. By studying the telephone records of 100,000 users in south-east Asia, researchers have plotted social connectivity against income. The conclusion: “The more diverse your connections, the more money you have.” This is not necessarily a causal relationship but it does have a strong causal element, he suggested.

Similar studies of European cities have shown an almost total segregation between groups of different socio-economic status. That lack of connectivity has to be addressed if our politics is not to descend further into a meaningless dialogue.

Data give us a new way to measure progress.

For years, the Open Data movement has been working to create public data sets that can better inform decision making. This worldwide movement is prising open anonymised public data sets, such as transport records, so that they can be used by academics, entrepreneurs and civil society groups. However, much of the most valuable data is held by private entities, notably the consumer tech companies, telecoms operators, retailers and banks. “The big win would be to include private data as a public good,” Mr Pentland said….(More)”.

Mobile Data Collection Toolkit


Guide for the use of MDC in the humanitarian and development field: “This webpage aims at sharing documentation produced jointly by Terre des hommes (Tdh) and CartONG to help humanitarians and development actors use Mobile Data Collection (MDC)more efficiently in the field.

You will find tutorials and training material concerning all the phases of MDC, from thinking through the prerequisites of using MDC to the preparation of your forms and tools and the analysis of your data.

In addition to the MDC documentation you can also find a “Starter Kit” for data protection in humanitarian and development operations, as well as “Data Visualization” material, in the Analysis page,  produced to help organizations to better visualize the results of their data analyses.

These were made for Terre des hommes staff but are shared “as-is” as they could be useful for other NGOs. …(More)”.

Using Open Data for Public Services


New report by the Open Data Institute:  “…Today we’re publishing our initial findings based on examining 8 examples where open data supports the delivery of a public service. We have defined 3 high-level ‘patterns’ for how open data is used in public services. We think these could be helpful for others looking to redesign and deliver better services.

The patterns are summarised in the table below:

The first pattern is perhaps the model which everyone is most familiar with as it’s used by the likes of Citymapper, who use open transport data from Transport for London to inform passengers about routes and timings, and other citizen-focused apps. Data is released by a public sector organisation about a public service and a third organisation uses this data to provide a complementary service, online or face-face, to help citizens use the public service.

The second pattern involves the release of open data in the service delivery chain. Open data is used to plan public service delivery and make service delivery chains more efficient. Examples provided in the report include local authorities’ release of open spending, contract and tender data, which is used by Spend Network to support better value for money in public expenditure.

In the third pattern, public sector organisations commissioning services and external organisations involved in service delivery make strategic decisions based on insights and patterns revealed by open data. Visualisations of open data can inform policies on job seeker allowance, as shown in the example from the Department for Work and Pensions in the report.

As well as identifying these patterns, we have created ecosystem maps of the public services we have examined to help understand the relationships and the mechanisms by which open data supports each of them….

Having compared the ecosystems of the examples we have considered so far, the report sets out practical recommendations for those involved in the delivery of public services and for Central Government for the better use of open data in the delivery of public services.

The recommendations are focused on organisational collaboration; technology infrastructure, digital skills and literacy; open standards for data; senior level championing; peer networks; intermediaries; and problem focus….(More)”.

When Fighting Fake News Aids Censorship


Courtney C. Radsch at Project Syndicate: “Many media analysts have rightly identified the dangers posed by “fake news,” but often overlook what the phenomenon means for journalists themselves. Not only has the term become a shorthand way to malign an entire industry; autocrats are invoking it as an excuse to jail reporters and justify censorship, often on trumped-up charges of supporting terrorism.

Around the world, the number of honest journalists jailed for publishing fake or fictitious news is at an all-time high of at least 21. As non-democratic leaders increasingly use the “fake news” backlash to clamp down on independent media, that number is likely to climb.

The United States, once a world leader in defending free speech, has retreated from this role. President Donald Trump’s Twitter tirades about “fake news” have given autocratic regimes an example by which to justify their own media crackdowns. In December, China’s state-run People’s Daily newspaper posted tweets and a Facebook post welcoming Trump’s fake news mantra, noting that it “speaks to a larger truth about Western media.” This followed the Egyptian government’s praise for the Trump administration in February 2017, when the country’s foreign ministry criticized Western journalists for their coverage of global terrorism.

And in January 2017, Turkish President Recep Tayyip Erdoğan praised Trump for berating a CNN reporter during a live news conference. Erdoğan, who criticized the network for its coverage of pro-democracy protests in Turkey in 2013, said that Trump had put the journalist “in his place.” Trump returned the compliment when he met Erdoğan a few months later. Praising his counterpart for being an ally in the fight against terrorism, Trump made no mention of Erdoğan’s own dismal record on press freedom.

It is no accident that these three countries have been quickest to embrace Trump’s “fake news” trope. China, Egypt, and Turkey jailed more than half of the world’s journalists in 2017, continuing a trend from the previous year. The international community’s silence in the face of these governments’ attacks on independent media seems to have been interpreted as consent….(More)”.

Why the web has challenged scientists’ authority – and why they need to adapt


Andrew J. Hoffman at The Conversation: “Academia is in the midst of a crisis of relevance. Many Americans are ignoring the conclusions of scientists on a variety of issues including climate change and natural selection. Some state governments are cutting funding for higher education; the federal government is threatening to cut funding for research. Resentful students face ever increasing costs for tuition.

And distrustful segments of society fear what academia does; one survey found that 58 percent of Republicans and Republican-leaning independents say colleges and universities have a negative effect on the way things are going in the country.

There are multiple causes for this existential crisis, but one in particular deserves special attention. The web is fundamentally changing the channels through which science is communicated – who can create it, who can access it and ultimately what it is. Society now has instant access to more news and information than ever before; knowledge is being democratized. And as a result, the role of the scientist in society is in flux.

But rather than facing this changing landscape head on, research shows that many in academia are resisting its inevitability. In many ways, this response has parallels to that of the Catholic Church in the wake of the invention of the printing press and its role in hastening the Protestant Reformation. I hope this comparison offers a compelling provocation for the scientific community to come to grips with the cataclysmic changes we are now living through and ignore at our peril….(More)”.

Informed Diet Selection: Increasing Food Literacy through Crowdsourcing


Paper by Niels van Berkel et al: “The obesity epidemic is one of the greatest threats to health and wellbeing throughout much of the world. Despite information on healthy lifestyles and eating habits being more accessible than ever before, the situation seems to be growing worse  And for a person who wants to lose weight there are practically unlimited options and temptations to choose from. Food, or dieting, is a booming business, and thousands of companies and vendors want their cut by pitching their solutions, particularly online (Google) where people first turn to find weight loss information. In our work, we have set to harness the wisdom of crowds in making sense of available diets, and to offer a direct way for users to increase their food literacy during diet selection.  The Diet Explorer is a crowd-powered online knowledge base that contains an arbitrary number of weight loss diets that are all assessed in terms of an arbitrary set of criteria…(More)”.

Journalism and artificial intelligence


Notes by Charlie Beckett (at LSE’s Media Policy Project Blog) : “…AI and machine learning is a big deal for journalism and news information. Possibly as important as the other developments we have seen in the last 20 years such as online platforms, digital tools and social media. My 2008 book on how journalism was being revolutionised by technology was called SuperMedia because these technologies offered extraordinary opportunities to make journalism much more efficient and effective – but also to transform what we mean by news and how we relate to it as individuals and communities. Of course, that can be super good or super bad.

Artificial intelligence and machine learning can help the news media with its three core problems:

  1. The overabundance of information and sources that leave the public confused
  2. The credibility of journalism in a world of disinformation and falling trust and literacy
  3. The Business model crisis – how can journalism become more efficient – avoiding duplication; be more engaged, add value and be relevant to the individual’s and communities’ need for quality, accurate information and informed, useful debate.

But like any technology they can also be used by bad people or for bad purposes: in journalism that can mean clickbait, misinformation, propaganda, and trolling.

Some caveats about using AI in journalism:

  1. Narratives are difficult to program. Trusted journalists are needed to understand and write meaningful stories.
  2. Artificial Intelligence needs human inputs. Skilled journalists are required to double check results and interpret them.
  3. Artificial Intelligence increases quantity, not quality. It’s still up to the editorial team and developers to decide what kind of journalism the AI will help create….(More)”.

Citicafe: conversation-based intelligent platform for citizen engagement


Paper by Amol Dumrewal et al in the Proceedings of the ACM India Joint International Conference on Data Science and Management of Data: “Community civic engagement is a new and emerging trend in urban cities driven by the mission of developing responsible citizenship. The recognition of civic potential in every citizen goes a long way in creating sustainable societies. Technology is playing a vital role in helping this mission and over the last couple of years, there have been a plethora of social media avenues to report civic issues. Sites like Twitter, Facebook, and other online portals help citizens to report issues and register complaints. These complaints are analyzed by the public services to help understand and in-turn address these issues. However, once the complaint is registered, often no formal or informal feedback is given back from these sites to the citizens. This de-motivates citizens and may deter them from registering further complaints. In addition, these sites offer no holistic information about a neighborhood to the citizens. It is useful for people to know whether there are similar complaints posted by other people in the same area, the profile of all complaints and a know-how of how and when these complaints will be addressed.

In this paper, we create a conversation-based platform CitiCafe for enhancing citizen engagement front-ended by a virtual agent with a Twitter interface. This platform back-end stores and processes information pertaining to civic complaints in a city. A Twitter based conversation service allows citizens to have a direct correspondence with CitiCafe via “tweets” and direct messages. The platform also helps citizens to (a) report problems and (b) gather information related to civic issues in different neighborhoods. This can also help, in the long run, to develop civic conversations among citizens and also between citizens and public services….(More)”.

Digitalization, Collective Intelligence, and Entrepreneurship in the Care Sector


Chapter by Erik Lakomaa in Managing Digital Transformation edited by Per Andersson, Staffan Movin, Magnus Mähring, Robin Teigland, and Karl Wennberg: “Parallel to the formal private or public (health) care organisations in Europe, a number of community-driven care projects have emerged. They may supplement the formal organisations by reducing costs or provide care to groups that, for some reason, do not have access to the formal sector. Drawing upon the Ostromian theory of commons and on previous theory and research on open software development (which share some of the characteristics of “open care”), I use historical cases of community-driven care to examine the prospects for such projects to help remedy the cost crisis in the care sector. I explore under which institutional settings “open care” is likely to emerge and when open care projects have potential to scale. It is found that open care is more likely to emerge and prosper when it builds upon existing organisational structures: where the participants do not need to create new hierarchies or governance structures, and where they share common values…(More)”.