Making cities wiser – Crowdsourcing for better decisions


Maarit Kahila and Anna Broberg at FIG: “The need in urban planning to make knowledge-driven decisions has spurred the creation of new solutions to gather and utilize insight from residents. Participatory planning has often been realized through workshops and during face-to-face encounters, but little of the knowledge gathered in these situations is of use in further urban planning and city development. New technological innovations, such as map-based public participation tools, support gathering information that matters and makes cities wiser. Interaction with citizens not only creates information, but supports also learning and innovation building, and creates trusts.

Technological innovations like Maptionnaire help gather information that makes cities wiser. Maptionnaire is a leading solution for collecting, analyzing and discussing resident insight on a map. With the help of Maptionnaire, various cities have been able to change their modus operandi. Through these learning processes actors from different sectors of the city are brought together to create joint understanding of the possibilities of public participation. Cities have started to value and use resident input as an equally important part of its knowledge base for planning. There is a great potential for more efficient use of participatory tools to make processes smoother and to save money. Future development work is needed to further facilitate knowledge transfer from residents to the use of planners and other city officials.

In our presentation we will present different innovative case studies from Finland and abroad where Maptionnaire has been used to support two-way communication in different phases of planning processes. Based on our findings we will draft a new public participation model that assist the effective gathering of experiential knowledge from inhabitants, provide high quality place-based data for various analysis and informs participants about the stage and goals of the planning process more innovatively….(More)”.

Blockchain 2.0: How it could overhaul the fabric of democracy and identity


Colm Gorey at SiliconRepublic: “…not all blockchain technologies need to be about making money. A recent report issued by the European Commission discussed the possible ways it could change people’s lives….
While many democratic nations still prefer a traditional paper ballot system to an electronic voting system over fears that digital votes could be tampered with, new technologies are starting to change that opinion.
One suggestion is blockchain enabled e-voting (BEV), which would take control from a central authority and put it back in the hands of the voter.
As a person’s vote would be timestamped with details of their last vote thanks to the encrypted algorithm, an illegitimate one would be spotted more easily by a digital system, or even those within digital-savvy communities.
Despite still being a fledgling technology, BEV has already begun working on the local scale of politics within Europe, such as the internal elections of political parties in Denmark.
But perhaps at this early stage, its actual use in governmental elections at a national level will remain limited, depending on “the extent to which it can reflect the values and structure of society, politics and democracy”, according to the EU….blockchain has also been offered as an answer to sustaining the public service, particularly with transparency of where people’s taxes are going.
One governmental concept could allow blockchain to form the basis for a secure method of distributing social welfare or other state payments, without the need for divisions running expensive and time-consuming fraud investigations.
Irish start-up Aid:Tech is one noticeable example that is working with Serbia to do just that, along with its efforts to use blockchain to create a transparent system for aid to be evenly distributed in countries such as Syria.
Bank of Ireland’s innovation manager, Stephen Moran, is certainly of the opinion that blockchain in the area of identity offers greater revolutionary change than BEV.
“By identity, that can cover everything from educational records, but can also cover the idea of a national identity card,” he said in conversation with Siliconrepublic.com….
But perhaps the wildest idea within blockchain – and one that is somewhat connected to governance – is that, through an amalgamation of smart contracts, it could effectively run itself as an artificially intelligent being.
Known as decentralised autonomous organisations (DAOs), these are, in effect, entities that can run a business or any operation autonomously, allocating tasks or distributing micropayments instantly to users….
An example similar to the DAO already exists, in a crowdsourced blockchain online organisation run entirely on the open source platform Ethereum.
Last year, through the sheer will of its users, it was able to crowdfund the largest sum ever – $100m – through smart contracts alone.
If it appears confusing and unyielding, then you are not alone.
However, as was simply summed up by writer Leda Glyptis, blockchain is a force to be reckoned with, but it will be so subtle that you won’t even notice….(More)”.

Open data and the war on hunger – a challenge to be met


Diginomica: “Although the private sector is seen as the villain of the piece in some quarters, it actually has a substantial role to play in helping solve the problem of world hunger.

This is the view of Andre Laperriere, executive director of the Global Open Data for Agriculture and Nutrition (Godan) initiative, …

Laperriere himself heads up Godan’s small secretariat of five full-time equivalent employees who are based in Oxfordshire in the UK. The goal of the organisation, which currently has 511 members, is to encourage governmental, non-governmental (NGO) and private sector organisations to share open data about agriculture and nutrition. The idea is to make such information more available, accessible and usable in order to help tackle world food security in the face of mounting threats such as climate change.

But to do so, it is necessary to bring the three key actors originally identified by James Wolfensohn, former president of the World Bank, into play, believes Laperriere. He explains:

You have states, which generate and possess much of the data. There are citizens with lots of specific needs for which the data can be used, and there’s the private sector in between. It’s in the best position to exploit the data and use it to develop products that help meet the needs of the population. So the private sector is the motor of development and has a big role to play.

This is not least because NGOs, cooperatives and civil societies of all kinds often simply do not have the resources or technical knowledge to either find or deal with the massive quantities of open data that is released. Laperriere explains:

It’s a moral dilemma for a lot of research organisations. If, for example, they release 8,000 data sets about every kind of cattle disease, they’re doing so for the benefit of small farmers. But the only ones that can often do anything with it are the big companies as they have the appropriate skills. So the goal is the little guy rather than the big companies, but the alternative is not to release anything at all.

But for private sector businesses to truly get the most out of this open data as it is made available, Laperriere advocates getting together to create so-called pre-competition spaces. These spaces involve competitors collaborating in the early stages of commercial product development to solve common problems. To illustrate how such activity works, Laperriere cites his own past experience when working for a lighting company:

We were pushing fluorescent rather than incandescent lighting, but it contains mercury which pollutes, although it has a lower carbon footprint. It was also a lot more expensive. But we sat down together with the other manufacturers and shared our data to fix the problem together, which meant that everyone benefited by reducing the cost, the mercury pollution and the amount of energy consumed.

Next revolution

While Laperriere understands the fear of many organisations in potentially making themselves vulnerable to competition by disclosing their data, in reality, he attests, “it not the case”. Instead he points out:

If you release data in the right way to stimulate collaboration, it is positive economically and benefits both consumers and companies too as it helps reduce their costs and minimise other problems.

Due to growing amounts of government legislation and policies that require processed food manufacturers around the world to disclose product ingredients, he is, in fact, seeing rising interest in the approach not only among the manufacturers themselves but also among packaging and food preservation companies. The fact that agriculture and nutrition is a vast, complex area does mean there is still a long way to go, however….(More)”

Minecraft in urban planning: how digital natives are shaking up governments


 in The Guardian: “When we think of governments and technology, the image that springs to mind is more likely to be clunky computers and red tape than it is nimble innovators.

But things are changing. The geeks in jeans are making their way into government and starting to shake things up.

New ideas are changing the way governments use technology – whether that’s the UK’s intelligence organisation GCHQ finding a secure way to use the instant messenger Slack or senior mandarins trumpeting the possibilities of big data.

Governments are also waking up to the idea that the public are not only users, but also a powerful resource – and that engaging them online is easier than ever before. “People get very excited about using technology to make a real impact in the world,” says Chris Lintott, the co-founder of Zooniverse, a platform that organisations can use to develop their own citizen science projects for everything from analysing planets to spotting penguins.

For one of these projects, Old Weather, Zooniverse is working with the UK Met Office to gather historic weather data from ancient ships’ logs. At the same time, people helping to discover the human stories of life at sea. “Volunteers noticed that one admiral kept turning up on ship after ship after ship,” says Lintott. “It turned out he was the guy responsible for awarding medals!”

The National Archives in the US has similarly been harnessing the power of people’s curiosity by asking them to transcribe and digitise, handwritten documents through its Citizen Archivist project….

The idea for the Järviwiki, which asks citizens to log observations about Finland’s tens of thousands of lakes via a wiki service, came to Lindholm one morning on the way into work….

The increase in the number of digital natives in governments not only brings in different skills, it also enthuses the rest of the workforce, and opens their eyes to more unusual ideas.

Take Block by Block, which uses the game Minecraft to help young people show city planners how urban spaces could work better for them.

A decade ago it would have been hard to imagine a UN agency encouraging local governments to use a game to re-design their cities. Now UN-Habitat, which works with governments to promote more sustainable urban environments, is doing just that….

In Singapore, meanwhile – a country with densely populated cities and high volumes of traffic – the government is using tech to do more than manage information. It has created an app, MyResponder, that alerts a network of more than 10,000 medically trained volunteers to anyone who has a heart attack nearby, sometimes getting someone to the scene faster than the ambulance can get through the traffic.

The government is now piloting an expansion of the project by kitting out taxis with defibrillators and giving drivers first aid training, then linking them up to the app.

It’s examples like these, where governments use technology to bring communities together, that demonstrates the benefit of embracing innovation. The people making it happen are not only improving services for citizens – their quirky ideas are breathing new life into archaic systems…(More)

Beyond Networks – Interlocutory Coalitions, the European and Global Legal Orders


Book by Gianluca Sgueo: “….explores the activism promoted by organised networks of civil society actors in opening up possibilities for more democratic supranational governance. It examines the positive and negative impact that such networks of civil society actors – named “interlocutory coalitions” – may have on the convergence of principles of administrative governance across the European legal system and other supranational legal systems.

The book takes two main controversial aspects into account: the first relates to the convergence between administrative rules pertaining to different supranational regulatory systems. Traditionally, the spread of methods of administrative governance has been depicted primarily against the background of the interactions between the domestic and the supranational arena, both from a top-down and bottom-up perspective. However, the exploration of interactions occurring at the supranational level between legal regimes is still not grounded on adequate empirical evidence. The second controversial aspect considered in this book consists of the role of civil society actors operating at the supranational level. In its discussion of the first aspect, the book focuses on the relations between the European administrative law and the administrative principles of law pertaining to other supranational regulatory regimes and regulators, including the World Bank, the International Monetary Fund, the World Trade Organization, the United Nations, the Organization for Economic Cooperation and Development, the Asian Development Bank, and the Council of Europe. The examination of the second aspect involves the exploration of the still little examined, but crucial, role of civil society organised networks in shaping global administrative law. These “interlocutory coalitions” include NGOs, think tanks, foundations, universities, and occasionally activists with no formal connections to civil society organisations. The book describes such interlocutory coalitions as drivers of harmonized principles of participatory democracy at the European and global levels. However, interlocutory coalitions show a number of tensions (e.g. the governability of coalitions, the competition among them) that may hamper the impact they have on the reconfiguration of individuals’ rights, entitlements and responsibilities in the global arena….(More)’

Using big data to understand consumer behaviour on ethical issues


Phani Kumar Chintakayala  and C. William Young in the Journal of Consumer Ethics: “The Consumer Data Research Centre (CDRC) was established by the UK Economic and Social Research Council and launched its data services in 2015. Te project is led by the University of Leeds and UCL, with partners at the Universities of Liverpool and Oxford. It is working with consumer-related organisations and businesses to open up their data resources to trusted researchers, enabling them to carry out important social and economic research….

Over the last few years there has been much talk about how so-called “big data” is the future and if you are not exploiting it, you are losing your competitive advantage. So what is there in the latest wave of enthusiasm on big data to help organisations, researchers and ethical consumers?…

Examples of the types of research being piloted using data from the food sector by CDRC include the consumption of milk and egg products. Te results clearly indicate that not all the sustainable  products are considered the same by consumers, and consumption behaviour varies across sustainable product categories. i) A linked data analysis was carried out by combining sales data of organic milk and free range eggs from a retailer with over 300 stores across the UK, green and ethical atitude data from CDRC’s data partner, and socio-demographic and deprivation data from open sources. Te analysis revealed that, in general, the consumers with deeper green and ethical atitudes are the most likely consumers of sustainable products. Deprivation has a negative efect on the consumption of sustainable products. Price, as expected, has a negative efect but the impact varies across products. Convenience stores have signifcant negative efect on the consumption of sustainable products. Te infuences of socio-demographic characteristics such as gender, age, ethnicity etc. seem to vary by product categories….

Big data can help organisations, researchers and ethical consumers understand the ethics around consumer behaviour and products. Te opportunities to link diferent types of data is exciting but must be research-question-led to avoid digging for non-existent causal links. Te methods and access to data is still a barrier but open access is key to solving this. Big data will probably only help in flling in the details of our knowledge on ethical consumption and on products, but this can only help our decision making…(More)”.

Community-based app gets Londoners walking


Springwise: “Apps that measure a user’s exercise have been 10-a-penny for some years, but Go Jauntly is set to offer something brand new and leans much more into crowdsourcing than its rivals. Launched by a new start-up of nature-loving digital experts, and co-developed with Transport for London, Go Jauntly is a community-based initiative that’s as much about exploration and sharing with fellow jaunt-lovers. It also had £10,000 backing from the Ordnance Survey’s Geovation fund that helps start ups using geo-based technology. Big players are involved.

It’s directly tapped into TFL’s dynamic open data, and keeps users informed of everything from congestion to pollution. According to statistics, some 3.6 million journeys a day are made in London using cars and public transport, all of which could have been walked.

“We’re hoping that with Go Jauntly we’re creating technology for good that has a positive impact on society from a health, wellness and environmental perspective,” explains Hana Sutch, CEO and co-founder. “We wanted to start something that would get people out of the house and more active. Our team at Go Jauntly are all nature-loving city dwellers who spend too much of our time deskbound and wanted to be a bit more active.”

Go Jauntly is available now on the App Store with a variety of walks including Richmond and Regent’s Parks, plus a selection of South East London’s cemeteries. This isn’t just a London-centric innovation, anyone in the UK can download it, walk-the-walk, and share their jaunt. The company is hoping to get an Android version out by the end of the year.

Other apps that encourage walking include Norway’s Traffic Agent, and the UK’s Walkability was also designed to get users on the hoof….(More)”

A simple reward system could make crowds a whole lot wiser


 at The Conversation: “There’s a problem with the wisdom of crowds. Market economies and democracies rely on the idea that whole populations know more about what is best for them than a small elite group. This knowledge is potentially so powerful it can even predict the future through stock markets, betting exchanges and special investment vehicles called prediction markets.

These markets allow people to trade “shares” in possible future outcomes, such as the winner of upcoming elections. Anyone with new information about the future has a financial incentive to spread it by buying these shares. Prediction markets now routinely inform bookmakers odds and are quoted in news coverage of elections alongside more traditional opinion polls.

But prediction markets are having a crisis of confidence in the abilities of the crowd. They have been systematically wrong about a series of high profile political decisions, including the UK general election of 2015, the Brexit referendum and the US presidential election of 2016.

We shouldn’t expect perfect accuracy on every occasion, just as we know opinion polls are often flawed. But to be wrong so consistently about such prominent events points to possible flaws in the assumptions we make about crowd intelligence. For example, people don’t always act on the information they have and so it might never become part of the crowd’s decision. The dynamics of crowds and markets might also stop people from paying attention to some sources of information at all.

However, there might be a way forward. My colleagues and I have come up with a model that overcomes this problem by giving people a incentive to seek out new sources of information, and an extra reason to share it.

An important question for markets is “where do individuals get their information?” Research shows that our opinions and activities very often match those of our peers. We also tend to look for information in the most obvious places, in line with everyone else.

To give an example, if you look around on any public transport in the City of London you’ll probably see people holding copies of the Financial Times. This is a problem because if everyone has the same information, the crowd is no smarter than a single individual. Studies show that having a diverse collection of opinions, especially including minority views, is crucial for creating a smart group.

So why do we tend to narrow the sources of our opinions? One reason is because we have an innate desire to imitate our peers, to behave in ways that are safe and acceptable within our community. But it may also be because of a rational, profit-seeking motivation.

We studied how theoretical profit-motivated people behave when faced with the types of rewards seen in market-like situations. To do this, we created a computer simulation of a prediction market, where people received a reward for making correct predictions. Rewards were larger when fewer people guessed the right answer, just like in a prediction market or a betting exchange.

The reward an individual received was a fixed amount divided by the number of other people who made a correct prediction. This was supposed to give people an incentive to look for right answers that other people wouldn’t find. But we found that people still gravitated towards a very small subset of the available information – just like London bankers with their copies of the Financial Times.

The more complex the situation was, the smaller the percentage of available information people actually used. The problem was that the more niche, unused information, though it might be useful to the group, was so rarely useful to the individual that possessed it that there was no incentive for them to seek it out….(More)”

How Libraries Became Public


Barbara Fister at Inside HigherEd: “Of all of our cultural institutions, the public library is remarkable. There are few tax-supported services that are used by people of all ages, classes, races, and religions. I can’t think of any public institutions (except perhaps parks) that are as well-loved and widely used as libraries. Nobody has suggested that tax dollars be used for vouchers to support the development of private libraries or that we shouldn’t trust those “government” libraries. Even though the recession following the 2008 crash has led to reduced staff and hours in American libraries, threats of closure are generally met with vigorous community resistance. Visits and check-outs are up significantly over the past ten years, though it has decreased a bit in recent years. Reduced funding seems to be a factor, though the high point was 2009; library use parallels unemployment figures – low unemployment often means fewer people use public libraries. A for-profit company that claims to run libraries more cheaply than local governments currently has contracts to manage only sixteen of over 9,000 public library systems in the U.S. Few public institutions have been so impervious to privatization.

I find it intriguing that the American public library grew out of an era that has many similarities to this one – the last quarter of the 19th century, when large corporations owned by the super-rich had gained the power to shape society and fundamentally change the lives of ordinary people. It was also a time of new communication technologies, novel industrial processes, and data-driven management methods that treated workers as interchangeable cogs in a Tayloristic, efficient machine. Stuff got cheaper and more abundant, but wages fell and employment was precarious, with mass layoffs common. The financial sector was behaving badly, too, leading to cyclical panics and depressions. The gap between rich and poor grew, with unprecedented levels of wealth concentrated among a tiny percentage of the population. It all sounds strangely familiar.

The changes weren’t all economic. A wave of immigration, largely from southern and eastern Europe and from the Far East before the Chinese Exclusion Act of 1882, changed national demographics. Teddy Roosevelt warned of “race suicide,” urging white protestant women to reproduce at the same rate as other groups to make America Anglo-Saxon again. The hard-won rights of emancipated African Americans were systematically rolled back through voter suppression, widespread acts of terror, and the enactment of Jim Crow laws. Indigenous people faced broken treaties, seized land, military suppression, and forced assimilation.

How interesting that it was during this turbulent time of change when the grand idea of the American public library – a publicly-supported cultural institution that would be open to all members of the community for their enjoyment and education – emerged….(More)”.

Creating Safer Streets Through Data Science


Datakind: “Tens of thousands of people are killed or injured in traffic collisions each year. To improve road safety and combat life-threatening crashes, over 25 U.S. cities have adopted Vision Zero, an initiative born in Sweden in the 1990’s that aims to reduce traffic-related deaths and serious injuries to zero. Vision Zero is built upon the belief that crashes are predictable and preventable, though determining what kind of engineering, enforcement and educational interventions are effective can be difficult and costly for cities with limited resources.

While many cities have access to data about where and why serious crashes occur to help pinpoint streets and intersections that are trouble spots, the use of predictive algorithms and advanced statistical methods to determine the effectiveness of different safety initiatives is less widespread. Seeing the potential for data and technology to advance the Vision Zero movement in the U.S., DataKind and Microsoft wondered: How might we support cities to apply data science to reduce traffic fatalities and injuries to zero?
What Happened?Three U.S. cities – New York, Seattle and New Orleans – partnered with DataKind, in the first and largest multi-city, data-driven collaboration of its kind, to support Vision Zero efforts within the U.S. Each city had specific questions that they wished to address related to better understanding the factors contributing to crashes and what types of engineering treatments or enforcement interventions may be most effective in helping each of their local efforts and increase traffic safety for all.

To help the cities answer these questions, DataKind launched its first ever Labs project, led by DataKind data scientists Erin Akred, Michael Dowd, Jackie Weiser and Sina Kashuk. A DataDive was held in Seattle to help support the project. Dozens of volunteers participated in the event and helped fuel the work that was achieved, including volunteers from Microsoft and the University of Washington’s E-Science Institute, as well as many other Seattle data scientists.

The DataKind team also worked closely with local city officials and transportation experts to gain valuable insight and feedback on the project, and access a wide variety of datasets, such as information on past crashes, roadway attributes (e.g. lanes, traffic signals, and sidewalks), land use, demographic data, commuting patterns, parking violations, and existing safety intervention placements.

The cities provided information about their priority issues, expertise on their local environments, access to their data, and feedback on the models and analytic insights.  Microsoft enabled the overall collaboration by providing resources, including expertise in support of the collaborative model, technical approaches, and project goals.

Below are detailed descriptions of the specific local traffic safety questions each city asked, the data science approach and outputs the DataKind team developed, and the outcomes and impacts these analyses are providing each city….(More)”