Paper by T Omitola, J Davies, A Duke, H Glaser, N Shadbolt for Proceeding WIMS ’14 (Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics): “The new world of big data, of the LOD cloud, of the app economy, and of social media means that organisations no longer own, much less control, all the data they need to make the best informed business decisions. In this paper, we describe how we built a system using Linked Data principles to bring in data from Web 2.0 sites (LinkedIn, Salesforce), and other external business sites such as OpenCorporates, linking these together with pertinent internal British Telecommunications enterprise data into that enterprise data space. We describe the challenges faced during the implementation, which include sourcing the datasets, finding the appropriate “join points” from the individual datasets, as well as developing the client application used for data publication. We describe our solutions to these challenges and discuss the design decisions made. We conclude by drawing some general principles from this work.”
E-Expertise: Modern Collective Intelligence
Book by Gubanov, D., Korgin, N., Novikov, D., Raikov, A.: “This book focuses on organization and mechanisms of expert decision-making support using modern information and communication technologies, as well as information analysis and collective intelligence technologies (electronic expertise or simply e-expertise).
Chapter 1 (E-Expertise) discusses the role of e-expertise in decision-making processes. The procedures of e-expertise are classified, their benefits and shortcomings are identified, and the efficiency conditions are considered.
Chapter 2 (Expert Technologies and Principles) provides a comprehensive overview of modern expert technologies. A special emphasis is placed on the specifics of e-expertise. Moreover, the authors study the feasibility and reasonability of employing well-known methods and approaches in e-expertise.
Chapter 3 (E-Expertise: Organization and Technologies) describes some examples of up-to-date technologies to perform e-expertise.
Chapter 4 (Trust Networks and Competence Networks) deals with the problems of expert finding and grouping by information and communication technologies.
Chapter 5 (Active Expertise) treats the problem of expertise stability against any strategic manipulation by experts or coordinators pursuing individual goals.
The book addresses a wide range of readers interested in management, decision-making and expert activity in political, economic, social and industrial spheres.”
Design for Policy
Book edited by Christian Bason, Director, MindLab Copenhagen: ” Design for Policy is the first publication to chart the emergence of collaborative design approaches to innovation in public policy. Drawing on contributions from a range of the world’s leading academics, design practitioners and public managers, Design for policy provides a rich, detailed analysis of design as a tool for addressing public problems and capturing opportunities for achieving better and more efficient societal outcomes.
In his introduction, the author suggests that design may offer a fundamental reinvention of the art and craft of policy making for the 21st century. From challenging current problem spaces to driving the creative quest for new solutions and shaping the physical and virtual artefacts of policy implementation, design holds a significant yet largely unexplored potential.
The book is structured in three main sections, covering the global context of the rise of design for policy, in-depth case studies of the application of design to policy making, and a guide to concrete design tools for policy intent, insight, ideation and implementation. Design for policy is concluded with a summary chapter which reviews the key contributions and lays out a future agenda for design in government, suggesting how to position design more firmly on the public policy stage.
Design for Policy is intended as a resource for government departments, public service organizations and institutions, schools of design and public management, think tanks and consultancies that wish to understand and use design as a tool for public sector reform and innovation.”
Online and social media data as a flawed continuous panel survey
Fernando Diaz, Michael Gamon, Jake Hofman, Emre Kıcıman, and David Rothschild from Microsoft Research: “There is a large body of research on utilizing online activity to predict various real world outcomes, ranging from outbreaks of influenza to outcomes of elections. There is considerably less work, however, on using this data to understand topic-specific interest and opinion amongst the general population and specific demographic subgroups, as currently measured by relatively expensive surveys. Here we investigate this possibility by studying a full census of all Twitter activity during the 2012 election cycle along with comprehensive search history of a large panel of internet users during the same period, highlighting the challenges in interpreting online and social media activity as the results of a survey. As noted in existing work, the online population is a non-representative sample of the offline world (e.g., the U.S. voting population). We extend this work to show how demographic skew and user participation is non-stationary and unpredictable over time. In addition, the nature of user contributions varies wildly around important events. Finally, we note subtle problems in mapping what people are sharing or consuming online to specific sentiment or opinion measures around a particular topic. These issues must be addressed before meaningful insight about public interest and opinion can be reliably extracted from online and social media data…”
Politics or technology – which will save the world?
David Runciman in the Guardian: (Politics by David Runciman is due from Profile ..It is the first in a series of “Ideas in Profile”) “The most significant revolution of the 21st century so far is not political. It is the information technology revolution. Its transformative effects are everywhere. In many places, rapid technological change stands in stark contrast to the lack of political change. Take the United States. Its political system has hardly changed at all in the past 25 years. Even the moments of apparent transformation – such as the election of Obama in 2008 – have only reinforced how entrenched the established order is: once the excitement died away, Obama was left facing the same constrained political choices. American politics is stuck in a rut. But the lives of American citizens have been revolutionised over the same period. The birth of the web and the development of cheap and efficient devices through which to access it have completely altered the way people connect with each other. Networks of people with shared interests, tastes, concerns, fetishes, prejudices and fears have sprung up in limitless varieties. The information technology revolution has changed the way human beings befriend each other, how they meet, date, communicate, medicate, investigate, negotiate and decide who they want to be and what they want to do. Many aspects of our online world would be unrecognisable to someone who was transplanted here from any point in the 20th century. But the infighting and gridlock in Washington would be all too familiar.
This isn’t just an American story. China hasn’t changed much politically since 4 June 1989, when the massacre in Tiananmen Square snuffed out a would-be revolution and secured the current regime’s hold on power. But China itself has been totally altered since then. Economic growth is a large part of the difference. But so is the revolution in technology. A country of more than a billion people, nearly half of whom still live in the countryside, has been transformed by the mobile phone. There are currently over a billion phones in use in China. Ten years ago, fewer than one in 10 Chinese had access to one; today there is nearly one per person. Individuals whose horizons were until very recently constrained by physical geography – to live and die within a radius of a few miles from your birthplace was not unusual for Chinese peasants even into this century – now have access to the wider world. For the present, though maybe not for much longer, the spread of new technology has helped to stifle the call for greater political change. Who needs a political revolution when you’ve got a technological one?
Technology has the power to make politics seem obsolete. The speed of change leaves government looking slow, cumbersome, unwieldy and often irrelevant. It can also make political thinking look tame by comparison with the big ideas coming out of the tech industry. This doesn’t just apply to far‑out ideas about what will soon be technologically possible: intelligent robots, computer implants in the human brain, virtual reality that is indistinguishable from “real” reality (all things that Ray Kurzweil, co-founder of the Google-sponsored Singularity University, thinks are coming by 2030). In this post-ideological age some of the most exotic political visions are the ones that emerge from discussions about tech. You’ll find more radical libertarians and outright communists among computer scientists than among political scientists. Advances in computing have thrown up fresh ways to think about what it means to own something, what it means to share something and what it means to have a private life at all. These are among the basic questions of modern politics. However, the new answers rarely get expressed in political terms (with the exception of occasional debates about civil rights for robots). More often they are expressions of frustration with politics and sometimes of outright contempt for it. Technology isn’t seen as a way of doing politics better. It’s seen as a way of bypassing politics altogether.
In some circumstances, technology can and should bypass politics. The advent of widespread mobile phone ownership has allowed some of the world’s poorest citizens to wriggle free from the trap of failed government. In countries that lack basic infrastructure – an accessible transport network, a reliable legal system, a usable banking sector – phones enable people to create their own networks of ownership and exchange. In Africa, a grassroots, phone-based banking system has sprung up that for the first time permits money transfers without the physical exchange of cash. This makes it possible for the inhabitants of desperately poor and isolated rural areas to do business outside of their local communities. Technology caused this to happen; government didn’t. For many Africans, phones are an escape route from the constrained existence that bad politics has for so long mired them in.
But it would be a mistake to overstate what phones can do. They won’t rescue anyone from civil war. Africans can use their phones to tell the wider world of the horrors that are still taking place in some parts of the continent – in South Sudan, in Eritrea, in the Niger Delta, in the Central African Republic, in Somalia. Unfortunately the world does not often listen, and nor do the soldiers who are doing the killing. Phones have not changed the basic equation of political security: the people with the guns need a compelling reason not to use them. Technology by itself doesn’t give them that reason. Equally, technology by itself won’t provide the basic infrastructure whose lack it has provided a way around. If there are no functioning roads to get you to market, a phone is a godsend when you have something to sell. But in the long run, you still need the roads. In the end, only politics can rescue you from bad politics…”
Data Mining Reddit Posts Reveals How to Ask For a Favor–And Get it
Emerging Technology From the arXiv: “There’s a secret to asking strangers for something and getting it. Now data scientists say they’ve discovered it by studying successful requests on the web
One of the more extraordinary phenomena on the internet is the rise of altruism and of websites designed to enable it. The Random Acts of Pizza section of the Reddit website is a good example.
People leave messages asking for pizza which others fulfil if they find the story compelling. As the site says: “because… who doesn’t like helping out a stranger? The purpose is to have fun, eat pizza and help each other out. Together, we aim to restore faith in humanity, one slice at a time.”
A request might go something like this: “It’s been a long time since my mother and I have had proper food. I’ve been struggling to find any kind of work so I can supplement my mom’s social security… A real pizza would certainly lift our spirits”. Anybody can then fulfil the order which is then marked on the site with a badge saying “got pizza’d”, often with notes of thanks.
That raises an interesting question. What kinds of requests are most successful in getting a response? Today, we get an answer thanks to the work of Tim Althoff at Stanford University and a couple of pals who lift the veil on the previously murky question of how to ask for a favour—and receive it.
…
They analysed how various features might be responsible for the success of a post, such as the politeness of the post; its sentiment, whether positive or negative for example; its length. The team also looked at the similarity of the requester to the benefactor; and also the status of the requester.
Finally, they examined whether the post contained evidence of need in the form of a narrative that described why the requester needed free pizza.
Althoff and co used a standard machine learning algorithm to comb through all the possible correlations in 70 per cent of the data, which they used for training. Having found various correlations, they tested to see whether this had predictive power in the remaining 30 per cent of the data. In other words, can their algorithm predict whether a previously unseen request will be successful or not?
It turns out that their algorithm makes a successful prediction about 70 per cent of the time. That’s far from perfect but much better than random guessing which is right only half the time.
So what kinds of factors are important? Narrative is a key part of many of the posts, so Althoff and co spent some time categorising the types of stories people use.
They divided the narratives into five types, those that mention: money; a job; being a student; family; and a final group that includes mentions of friends, being drunk, celebrating and so on, which Althoff and co call ‘craving’.
Of these, narratives about jobs, family and money increase the probability of success. Student narratives have no effect while craving narratives significantly reduce the chances of success. In other words, narratives that communicate a need are more successful than those that do not.
“We find that clearly communicating need through the narrative is essential,” say Althoff and co. And evidence of reciprocation helps too.
(Given these narrative requirements, it is not surprising that longer requests tend to be more successful than short ones.)
So for example, the following request was successful because it clearly demonstrates both need and evidence of reciprocation.
“My gf and I have hit some hard times with her losing her job and then unemployment as well for being physically unable to perform her job due to various hand injuries as a server in a restaurant. She is currently petitioning to have unemployment reinstated due to medical reasons for being unable to perform her job, but until then things are really tight and ANYTHING would help us out right now.
I’ve been both a giver and receiver in RAOP before and would certainly return the favor again when I am able to reciprocate. It took everything we have to pay rent today and some food would go a long ways towards making our next couple of days go by much better with some food.”
By contrast, the ‘craving’ narrative below demonstrates neither and was not successful.
“My friend is coming in town for the weekend and my friends and i are so excited because we haven’t seen him since junior high. we are going to a high school football game then to the dollar theater after and it would be so nice if someone fed us before we embarked :)”
Althoff and co also say that the status of the requester is an important factor too. “We find that Reddit users with higher status overall (higher karma) or higher status within the subcommunity (previous posts) are significantly more likely to receive help,” they say.
But surprisingly, being polite does not help (except by offering thanks).
That’s interesting work. Until now, psychologists have never understood the factors that make requests successful, largely because it has always been difficult to separate the influence of the request from what is being requested.
The key here is that everybody making requests in this study wants the same thing—pizza. In one swoop, this makes the data significantly easier to tease apart.
An important line of future work will be in using his work to understand altruistic behaviour in other communities too…
Ref: http://arxiv.org/abs/1405.3282 : How to Ask for a Favor: A Case Study on the Success of Altruistic Requests”
Democracy and open data: are the two linked?
Molly Shwartz at R-Street: “Are democracies better at practicing open government than less free societies? To find out, I analyzed the 70 countries profiled in the Open Knowledge Foundation’s Open Data Index and compared the rankings against the 2013 Global Democracy Rankings. As a tenet of open government in the digital age, open data practices serve as one indicator of an open government. Overall, there is a strong relationship between democracy and transparency.
Using data collected in October 2013, the top ten countries for openness include the usual bastion-of-democracy suspects: the United Kingdom, the United States, mainland Scandinavia, the Netherlands, Australia, New Zealand and Canada.
There are, however, some noteworthy exceptions. Germany ranks lower than Russia and China. All three rank well above Lithuania. Egypt, Saudi Arabia and Nepal all beat out Belgium. The chart (below) shows the democracy ranking of these same countries from 2008-2013 and highlights the obvious inconsistencies in the correlation between democracy and open data for many countries.
There are many reasons for such inconsistencies. The implementation of open-government efforts – for instance, opening government data sets – often can be imperfect or even misguided. Drilling down to some of the data behind the Open Data Index scores reveals that even countries that score very well, such as the United States, have room for improvement. For example, the judicial branch generally does not publish data and houses most information behind a pay-wall. The status of legislation and amendments introduced by Congress also often are not available in machine-readable form.
As internationally recognized markers of political freedom and technological innovation, open government initiatives are appealing political tools for politicians looking to gain prominence in the global arena, regardless of whether or not they possess a real commitment to democratic principles. In 2012, Russia made a public push to cultivate open government and open data projects that was enthusiastically endorsed by American institutions. In a June 2012 blog post summarizing a Russian “Open Government Ecosystem” workshop at the World Bank, one World Bank consultant professed the opinion that open government innovations “are happening all over Russia, and are starting to have genuine support from the country’s top leaders.”
Given the Russian government’s penchant for corruption, cronyism, violations of press freedom and increasing restrictions on public access to information, the idea that it was ever committed to government accountability and transparency is dubious at best. This was confirmed by Russia’s May 2013 withdrawal of its letter of intent to join the Open Government Partnership. As explained by John Wonderlich, policy director at the Sunlight Foundation:
While Russia’s initial commitment to OGP was likely a surprising boon for internal champions of reform, its withdrawal will also serve as a demonstration of the difficulty of making a political commitment to openness there.
Which just goes to show that, while a democratic government does not guarantee open government practices, a government that regularly violates democratic principles may be an impossible environment for implementing open government.
A cursory analysis of the ever-evolving international open data landscape reveals three major takeaways:
- Good intentions for government transparency in democratic countries are not always effectively realized.
- Politicians will gladly pay lip-service to the idea of open government without backing up words with actions.
- The transparency we’ve established can go away quickly without vigilant oversight and enforcement.”
Crowdsourcing platform for museums
Thesis by Kræn Vesterberg Hansen: “This thesis addresses a strategic challenge at National Museum of Denmark to engage with external people, interested in contributing information about their collection of more than half a million coins and medals. This approach of getting outsiders to help with the completion of many small tasks are popularly known as crowdsourcing. This entails a need for the transcription of handwritten protocols, establishment of references between of entries in protocols and photographs of coins. These coins also references both structured and non-structured metadata.
Does a digital platformfor crowd engagement, in the museum’s context, exist? And how is such a platform integrated with the existing infrastructure of the museum? The report considers the MediaWiki, Amazon’s Mechanical Turk and Zooniverse’s Scribe transcription interface, and finds that the MediaWiki fits approximately 70% of the requirements.
Existing cases of successful crowdsourcing projects, national as well international is mentioned and the solution builds upon APIs of existing infrastructure components (such as the existing collection management system GenReg Mønt and the Canto Cumulus digital asset management system) in a modular and reusable architecture.
The report approaches the challenge in a three part process, greatly inspired by the software process model of “Reuse-oriented software engineering” proposed by Professor of Software engineering at the University of St Andrews, Ian Summerville.”
Collaborative approaches to public sector innovation: A scoping study
Paper by K Szkuta, R Pizzicannella, D Osimo in Telecommunications Policy: “In the last 15 years, European countries have invested considerable resources to provide e-government services. Despite of its increasing availability, its level of adoption has not been satisfying. On the other hand, over the last years, coinciding with the web 2.0 trend, the e-government services co-produced by citizens start to appear, often without the support, acknowledgement and even awareness of the government. This trend stems from a well-established tradition of offline co- production of public services, i.e. services provided by the voluntary sector, but brought to an unprecedented scale thanks to the advent of web 2.0. Still, the concept remains not well-defined and its impact is not yet well studied. The paper explores on a limited sets of cases what does it mean to collaboratively deliver online public services; what are the success factors based on the cases under study and what are the incentives for service providers (other than public administration), citizens as users and public administration. The authors propose an ostensive definition of the collaborative delivery of public services: collaborative public services are created and run by government, civil society or by private sector building on the re-use of government data or citizens data. Those services are focused on public goods delivery (e.g. health, education, public transport) and are meant to change the traditional government services by engaging in an open dialogue with public administration about the best way to deliver those services. The analysis of six case studies of innovative collaborative online public services suggests that the online collaborative public service delivery increases its quality with the users׳ growth contrary to the traditional offline service delivery. The study results indicate that the current developers interest lies in delivering complementary services to the government run services rather than substitutive services. The authors propose also the initial list of success factors, enabling conditions, and benefits for all main stakeholders (users, innovators and public administration).”
Digital Social Innovation
But what do we really mean by the term DSI? Peter Baeck and Alice Casey take a closer look at the tools and platforms you use to help you start your own digital social innovation project or get involved in those that others have already begun.
As part of our DSI research project, we have been looking across Europe, and beyond, to find out more about how people are using digital technology to make a social impact. We’re inviting people involved in creating these new social innovations to map their activities over at our open data community map www.digitalsocial.eu. We hope this will give everyone working on digital social innovation more exposure and help funders and researchers to shape their work to support this exciting field.
Below, we highlight our top 11 DSI trends to watch. Although you can read about each one separately, many of the most exciting innovations come from combining several of these trends to form entirely new systems. We’d love to gather more examples, so please add those you may have to our crowdmap here.