Information Seeding and Knowledge Production in Online Communities: Evidence from OpenStreetMap


Paper by Abhishek Nagaraj: “The wild success of a few online community-produced knowledge goods, notably Wikipedia, has obscured the fact that most attempts at forming online communities fail. A large body of work analyses motivations behind user contributions to successful, online communities but less is known, however, about early-stage interventions that might make online communities more or less successful.

This study evaluates information seeding, a popular practice to bootstrap online communities by enabling contributors to build on externally-sourced information rather that starting from scratch. I analyze the effects of information seeding on follow-on contributions using data from more than 350 million contributions made by over 577,000 contributors to OpenStreetMap, a Wikipedia-style digital map-making community that was seeded with data from the US Census. To estimate the effects of information seeding, I rely on a natural experiment in which an oversight caused about 60% of quasi-randomly chosen US counties to be seeded with a complete Census map, while the rest were seeded with less complete versions. While access to knowledge generally encourages follow-on knowledge production, I find that a higher level of information seeding significantly lowered follow-on knowledge production and contributor activity on OpenStreetMap and was also associated with lower levels of long-term quality. I argue that information seeding can crowd out contributors’ ability to develop ownership over baseline knowledge and disincentivize follow-on contributions in some circumstances. Empirical evidence supports this explanation as the mechanism through which a higher level of information seeding can stifle rather than spur knowledge production in online communities….(More)”.

BBC Four to investigate how flu pandemic spreads by launching BBC Pandemic app


BBC Press Release: “In a first of its kind nationwide citizen science experiment, Dr Hannah Fry is asking volunteers to download the BBC Pandemic App onto their smartphones. The free app will anonymously collect vital data on how far users travel over a 24 hour period. Users will be asked for information about the number of people they have come into contact with during this time. This data will be used to simulate the spread of a highly infectious disease to see what might happen when – not if – a real pandemic hits the UK.

By partnering with researchers at the University of Cambridge and the London School of Hygiene and Tropical Medicine, the BBC Pandemic app will identify the human networks and behaviours that spread infectious disease. The data collated from the app will help improve public health planning and outbreak control.

The results of the experiment will be revealed in a 90 minute landmark documentary, BBC Pandemic which will air in spring 2018 on BBC Four with Dr Hannah Fry and Dr Javid Abdelmoneim. The pair will chart the creation of the first ever life-saving pandemic, provide new insight into the latest pandemic science and use the data collected by the BBC Pandemic app to chart how an outbreak would spread across the UK.

In the last 100 years there have been four major flu pandemics including the Spanish Influenza outbreak of 1918 that killed up to 100 million people world wide. The Government National Risk Register estimates that infectious diseases are an even greater risk since 2015 and pandemic flu is the key concern as 50% of the population could be affected.

“Nobody knows when the next epidemic will hit, how far it will spread, or how many people will be affected. And yet, because of the power of mathematics, we can still be prepared for whatever lies ahead. What’s really important is that every single download will help improve our models so please please do take part – it will make a difference.” explains Dr Fry.

Dr Abdelmoneim says: “We shouldn’t underestimate the flu virus. It could easily be the cause of a major pandemic that could sweep around the world in a matter of weeks. I’m really excited about the BBC Pandemic app. If it can help predict the spread of a disease and be used to work out ways to slow that spread, it will be much easier for society and our healthcare system to manage”.

Cassian Harrison, Editor BBC Four says: “This is a bold and tremendously exciting project; bringing genuine insight and discovery, and taking BBC Four’s Experimental brief absolutely literally!”…(More)”

Ethical Guidelines for Applying Predictive Tools Within Human Services


MetroLab Network: “Predictive analytical tools are already being put to work within human service agencies to help make vital decisions about when and how to intervene in the lives of families and communities. The sector may not be entirely comfortable with this trend, but it should not be surprised. Predictive models are in wide use within the justice and education sectors and, more to the point, they work: risk assessment is fundamental to what social services do, and these tools can help agencies respond more quickly to prevent harm, to create more personalized interventions, and allocate scarce public resources to where they can do the most good.

There is also a strong case that predictive risk models (PRM) can reduce bias in decision-making. Designing a predictive model forces more explicit conversations about how agencies think about different risk factors and how they propose to guard against disadvantaging certain demographic or socioeconomic groups. And the standard that agencies are trying to improve upon is not perfect equity—it is the status quo, which is neither transparent nor uniformly fair. Risk scores do not eliminate the possibility of personal or institutional prejudice but they can make it more apparent by providing a common reference point.

That the use of predictive analytics in social services can reduce bias is not to say that it will. Careless or unskilled development of these predictive tools could worsen disparities among clients receiving social services. Child and civil rights advocates rightly worry about the potential for “net widening”—drawing more people in for unnecessary scrutiny by the government. They worry that rather than improving services for vulnerable clients, these models will replicate the biases in existing public data sources and expose them to greater trauma. Bad models scale just as quickly as good ones, and even the best of them can be misused.

The stakes here are real: for children and families that interact with these social systems and for the reputation of the agencies that turn to these tools. What, then, should a public leader know about risk modeling, and what lessons does it offer about how to think about data science, data stewardship, and the public interest?…(More)”.

Polish activists turn to digital democracy


 in the Financial Times: “Opponents of the Polish government have mounted a series of protests on issues ranging from reform of the judiciary to an attempt to ban abortion. In February, they staged yet another, less public but intensely emotive, battle — to save the country’s trees.

At the beginning of the year, a new law allowed property owners to cut trees on their land without official permission. As a result, hundreds of trees disappeared from the centres of Polish cities as more valuable treeless plots were sold off to developers. In parallel, the government authorised extensive logging of the ancient forest in Bialowieza, a Unesco world heritage site.

“People reacted very emotionally to these practices,” says Wojciech Sanko, a co-ordinator at Code for Poland, a programme run by ePanstwo (eState), the country’s biggest non-governmental organisation in this field.

The group aims to deploy new technology tools designed to explain local and national policies, and to make it easier for citizens to take part in public life. As no one controlled the tree-cutting, for example, Mr Sanko thought technology could at least help to monitor it. First, he wanted to set up a simple digital map of trees cut in Warsaw. But as the controversial liberalisation of tree-cutting was reversed, the NGO together with local activists decided to work on another project — to map trees still standing, along with data about species and their absorption of carbon dioxide associated with climate change.

The group has also started to create an app for activists in Bialowieza forest: an open-source map that will gather all documentation from civic patrols monitoring the site, and will indicate the exact places of logging.

A trend towards recruiting technology for civic projects has been slowly gathering pace in a country that is hard to describe as socially-engaged: only 59 per cent of Poles say they have done volunteer work for the community, according to a 2016 survey by the Centre of Public Opinion Research.

Election turnout barely surpasses 50 per cent. Yet since the election of the rightwing Law and Justice government in 2015, which has introduced rapid and controversial reforms across all domains of public life, citizens have started to take a closer look at politicians and their actions.

In addition to the tree map, Code for Poland has developed a website that aggregates public data, such as tax spending or air pollution.

Mr Sanko underlines, however, that Code for Poland is much more about local communities than national politics. Many of the group’s projects are small scale, ranging from a mobile app for an animal shelter in Gdansk and a tool that shows people where they can take their garbage.

Piotr Micula, board member of Miasto Jest Nasze (The City is Ours), an urban movement in Warsaw, says that increasing access to data is fuelling the development of civic tech. “Even as a small organisation, we try to use big data and visualise it,” he says….(More)”.

The ‘Five Safes’: a framework for planning, designing and evaluating data access solutions


Paper by Felix Ritchie: “The ‘Five Safes’ is a popular way to structure thinking about data access solutions. Originally used mainly by statistical agencies and social science academics, in recent years it has been adopted more widely across government, health organisations and private sector bodies. This paper explains the Five Safes, how the concept is used to organise and simplify decision-making, and how it helps to address concerns of different constituencies. We show how it aligns to recent regulation, anticipating the shift towards multi-dimensional data management strategies. We provide a number of practical examples as case studies for further information. We also briefly consider what issues the Five Safes does not address, and how the framework sits within a wider body of work on data access which challenges traditional data access models…(More)”.

Are robots taking our jobs?


Hasan Bakhshi et al at Nesta: “In recent years, there has been an explosion of research into the impacts of automation on work. This makes sense: artificial intelligence and robotics are encroaching on areas of human activity that were simply unimaginable a few years ago.

We ourselves have made contributions to this debate (herehere and here). In The Future of Skills, however, we argue that public dialogues that consider automation alone are dangerous and misleading.

They are dangerous, because popular narratives matter for economic outcomes, and a narrative of relentless technological displacement of labour markets risks chilling innovation and growth, at a time when productivity growth is flagging in developed countries.

They are misleading because there are opportunities for boosting growth – if our education and training systems are agile enough to respond appropriately. However, while there is a burgeoning field of research on the automatability of occupations, there is far less that focuses on skills, and even less that generates actionable insights for stakeholders in areas like job redesign and learning priorities.

There is also a need to recognise that parallel to automation is a set of broader technological, demographic, economic and environmental trends which will have profound implications for employment. In some cases, the trends will reinforce one another; in others, they will produce second-order effects which may be missed when viewed in isolation…..

Skills investment must be at the centre of any long-term strategy for adjusting to structural change. A precondition is access to good quality, transparent analysis of future skills needs, as without it, labour market participants and policymakers risk flying blind. The approach we’ve developed is a step towards improving our understanding of this vital agenda and one that invites a more pro-active reaction than the defensive one that has characterised public discussions on automation in recent years. We’d love to hear your comments….(More).”

Using big data to predict suicide risk among Canadian youth


SAS Insights “Suicide is the second leading cause of death among youth in Canada, according to Statistics Canada, accounting for one-fifth of deaths of people under the age of 25 in 2011. The Canadian Mental Health Association states that among 15 – 24 year olds the number is an even more frightening at 24 percent – the third highest in the industrialized world. Yet despite these disturbing statistics, the signals that an individual plans on self-injury or suicide are hard to isolate….

Team members …collected 2.3 million tweets and used text mining software to identify 1.1 million of them as likely to have been authored by 13 to 17 year olds in Canada by building a machine learning model to predict age, based on the open source PAN author profiling dataset. Their analysis made use of natural language processing, predictive modelling, text mining, and data visualization….

However, there were challenges. Ages are not revealed on Twitter, so the team had to figure out how to tease out the data for 13 – 17 year olds in Canada. “We had a text data set, and we created a model to identify if people were in that age group based on how they talked in their tweets,” Soehl said. “From there, we picked some specific buzzwords and created topics around them, and our software mined those tweets to collect the people.”

Another issue was the restrictions Twitter places on pulling data, though Soehl believes that once this analysis becomes an established solution, Twitter may work with researchers to expedite the process. “Now that we’ve shown it’s possible, there are a lot of places we can go with it,” said Soehl. “Once you know your path and figure out what’s going to be valuable, things come together quickly.”

The team looked at the percentage of people in the group who were talking about depression or suicide, and what they were talking about. Horne said that when SAS’ work went in front of a Canadian audience working in health care, they said that it definitely filled a gap in their data — and that was the validation he’d been looking for. The team also won $10,000 for creating the best answer to this question (the team donated the award money to two mental health charities: Mind Your Mind and Rise Asset Development)

What’s next?

That doesn’t mean the work is done, said Jos Polfliet. “We’re just scraping the surface of what can be done with the information.” Another way to use the results is to look at patterns and trends….(More)”

User Centric E-Government: Challenges and Opportunities


Book edited by Saqib Saeed, Zaigham Mahmood and T. Ramayah: “This book provides user studies and theories related to user-centered technology design processes for e-government projects. The book mainly discusses inherent issues of technology design implications, user experiences, and guidelines for technology appropriation. Ethnographic studies focusing on real life examples will enable readers to understand the problems in an effective way. Furthermore, the theories and results will help researchers and practitioners to handle these challenges in an efficient way.

E-Government is about harnessing the information revolution to improve the efficiency of government processes and the lives of citizens. It aims at a citizen centered approach to governance through effective use of the Internet and Information and Communication Technologies (ICTs). E-Government promotes transparency and effectiveness of a government’s processes as well as citizens’ participation (e-participation) in the affairs of the government. Whereas E-government projects are huge undertakings for government departments, a user-centric approach requires citizens’ participation in the design and delivery  of e government services. In both these respects, there are huge challenges and governments require long term commitment as well as correct planning and availability of financial resources to address them.

System design for e-governmental applications is inherently a complex process. In successful e-government projects, appropriately designed technology infrastructure plays a pivotal rule. The technology appropriation process requires that e-government technologies should be in line with the work practices of end users, so that successful usage of these technologies can be realized. E-governmental systems which fail to take into account such human factors result in failure and wasting huge amounts of public money as well as a loss of confidence of the public in such technological infrastructures. It is highly important that citizens are enabled to have access to the appropriate information technology, have knowledge and skills to use the available technology, and have the positive commitment to affect the governments’ strategies. So, enabling citizens to effectively participate is much more difficult.  This book addresses these inherent challenges and available opportunities with respect to user-centric e-government….(More)”.

Mapping service design and policy design


UK Policy Lab: “…Over the summer in the Policy Lab we have started mapping different policy options, showing the variety of ways policy-makers might use their power to influence people’s actions and behaviours. We have grouped these into seven categories from low level to large scale interventions.

Carrots or sticks

These styles of intervention include traditional law-making powers (sticks) or applying softer influencing powers (carrots)  such as system stewardship.   In reality policy-making is much more complex than most people imagine.  From this starting point we’ve created a grid of 28 different ways policy-makers operate at different stages of maturity. This is still work in progress so we would very much welcome your thoughts. We are currently building examples for each of the styles from across government.  The design choices for policy-makers early in policy development shape how a policy is delivered and the kind of results that can be achieved. We have played around a lot with the language, and will continue to test this in the Lab.  However, it should be clear from the array of possibilities that determining which course of action, which levers will deliver the outcomes needed, in any particular circumstance requires great skill and judgement…(More)”.

Humanizing technology


Kaliya Young at Open Democracy: “Can we use the internet to enhance deep human connection and support the emergence of thriving communities in which everyone’s needs are met and people’s lives are filled with joy and meaning?….

Our work on ‘technical’ technologies won’t generate broad human gains unless we invest an equal amount of time, energy and resources in the development of social and emotional technologies that drive how our whole society is organized and how we work together. I think we are actually on the cusp of having the tools, understanding and infrastructure to make that happen, without all our ideas and organizing being intermediated by giant corporations. But what does that mean in practice?

I think two things are absolutely vital.

First of all, how do we connect all the people and all the groups that want to align their goals in pursuit of social justice, deep democracy, and the development of new economies that share wealth and protect the environment? How are people supported to protect their own autonomy while also working with multiple other groups in processes of joint work and collective action?

One key element of the answer to that question is to generate a digital identity that is not under the control of a corporation, an organization or a government.

I have been co-leading the community surrounding the Internet Identity Workshop for the last 12 years. After many explorations of the techno-possibility landscape we have finally made some breakthroughs that will lay the foundations of a real internet-scale infrastructure to support what are called ‘user-centric’ or ‘self-sovereign’ identities.

This infrastructure consists of a network with two different types of nodes—people and organizations—with each individual being able to join lots of different groups. But regardless of how many groups they join, people will need a digital identity that is not owned by Twitter, Amazon, Apple, Google or Facebook. That’s the only way they will be able to control their own autonomous interactions on the internet. If open standards are not created for this critical piece of infrastructure then we will end up in a future where giant corporations control all of our identities. In many ways we are in this future now.

This is where something called ‘Shared Ledger Technology’ or SLT comes in—more commonly known as ‘blockchain’ or ‘distributed ledger technology.’  SLT represents a huge innovation in terms of databases that can be read by anyone and which are highly resistant to tampering—meaning that data cannot be erased or changed once entered. At the moment there’s a lot of work going on to design the encryption key management that’s necessary to support the creation and operation of these unique private channels of connection and communication between individuals and organizations. The Sovrin Foundation has built an SLT specifically for digital identity key management, and has donated the code required to the HyperLeger Foundation under ‘project Indy.’…

To put it simply, technical technologies are easier to turn in the direction of democracy and social justice if they are developed and applied with social and emotional intelligence. Combining all three together is the key to using technology for liberating ends….(More)”.