Using big data to understand consumer behaviour on ethical issues

Curated on Posted on by Stefaan Verhulst

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

Curated on Posted on by Stefaan Verhulst

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

Curated on Posted on by Stefaan Verhulst

 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

Curated on Posted on by Stefaan Verhulst

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

Curated on Posted on by Stefaan Verhulst

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)”

New cycling system helps riders beat red lights

Curated on Posted on by Stefaan Verhulst

Springwise: “There are few things more frustrating for cyclists than red lights, especially when riders have built up a good speed only to have to apply the brakes and lose all that momentum. To make things easier Dutch operation Springlab has designed a new system called Flo, which is being tested out in the city of Utrecht and has been set up to work alongside the city’s cycling lanes.

It works by using speed cameras placed 100 metres before each set of traffic lights, and calculates whether or not the cyclist should change speed to hit the green light. It uses animals to inform a cyclist if they should change speed, so a rabbit means speed up, a turtle means slow down, a cow means users are hitting the red light no matter what, and a simple thumbs up indicates the cyclist is doing the right speed.

It’s currently being tested out on Utrecht’s main road Amsterdamsestraatweg and all being well it’s hoped it’ll expand across the rest of the city and hopefully across Holland. Although it’s possible a nation so well known for its love of cycling will embrace such a system, whether or not it’ll go global is another matter. Another recent Dutch-based innovation ByCycling illustrates just how big cycling is in Holland, and in Poland a solar-powered glow in the dark bike lane is a genuinely impressive safety development….(More)”

Conditional Citizens: Rethinking Children and Young People’s Participation

Curated on Posted on by Stefaan Verhulst

Book by Catherine Hartung: “This book challenges readers to recognise the conditions that underpin popular approaches to children and young people’s participation, as well as the key processes and institutions that have enabled its rise as a global force of social change in new times. The book draws on the vast international literature, as well as interviews with key practitioners, policy-makers, activists, delegates and academics from Japan, South Africa, Brazil, Nicaragua, Australia, the United Kingdom, Finland, the United States and Italy to examine the emergence of the young citizen as a key global priority in the work of the UN, NGOs, government and academia. In so doing, the book engages contemporary and interdisciplinary debates around citizenship, rights, childhood and youth to examine the complex conditions through which children and young people are governed and invited to govern themselves.

The book argues that much of what is considered ‘children and young people’s participation’ today is part of a wider neoliberal project that emphasises an ideal young citizen who is responsible and rational while simultaneously downplaying the role of systemic inequality and potentially reinforcing rather than overcoming children and young people’s subjugation. Yet the book also moves beyond mere critique and offers suggestive ways to broaden our understanding of children and young people’s participation by drawing on 15 international examples of empirical research from around the world, including the Philippines, Bangladesh, the United Kingdom, North America, Finland, South Africa, Australia and Latin America. These examples provoke practitioners, policy-makers and academics to think differently about children and young people and the possibilities for their participatory citizenship beyond that which serves the political agendas of dominant interest groups…(More)”.

Not everyone in advanced economies is using social media

Curated on Posted on by Stefaan Verhulst

 at Pew: “Despite the seeming ubiquity of social media platforms like Facebook and Twitter, many in Europe, the U.S., Canada, Australia and Japan do not report regularly visiting social media sites. But majorities in all of the 14 countries surveyed say they at least use the internet.

Social media use is relatively common among people in Sweden, the Netherlands, Australia and the U.S. Around seven-in-ten report using social networking sites like Facebook and Twitter, but that still leaves a significant minority of the population in those countries (around 30%) who are non-users.

At the other end of the spectrum, in France, only 48% say they use social networking sites. That figure is even lower in Greece (46%), Japan (43%) and Germany (37%). In Germany, this means that more than half of internet users say they do not use social media. 

The differences in reported social media use across the 14 countries are due in part to whether people use the internet, since low rates of internet access limit the potential social media audience. While fewer than one-in-ten Dutch (5%), Swedes (7%) and Australians (7%) don’t access the internet or own a smartphone, that figure is 40% in Greece, 33% in Hungary and 29% in Italy.

However, internet access doesn’t guarantee social media use. In Germany, for example, 85% of adults are online, but less than half of this group report using Facebook, Twitter or Xing. A similar pattern is seen in some of the other developed economies polled, including Japan and France, where social media use is low relative to overall internet penetration….(More)

Can Democracy Survive the Internet?

Curated on Posted on by Stefaan Verhulst

Nathaniel Persily in the Journal of Democracy: “…The actual story of the 2016 digital campaign is, of course, quite different, and we are only beginning to come to grips with what it might mean for campaigns going forward. Whereas the stories of the last two campaigns focused on the use of new tools, most of the 2016 story revolves around the online explosion of campaign-relevant communication from all corners of cyberspace. Fake news, social-media bots (automated accounts that can exist on all types of platforms), and propaganda from inside and outside the United States—alongside revolutionary uses of new media by the winning campaign—combined to upset established paradigms of how to run for president.

Indeed, the 2016 campaign broke down all the established distinctions that observers had used to describe campaigns: between insiders and outsiders, earned media and advertising, media and nonmedia, legacy media and new media, news and entertainment, and even foreign and domestic sources of campaign communication. How does one characterize a campaign, for example, in which the chief strategist is also the chairman of a media website (Breitbart) that is the campaign’s chief promoter and whose articles the candidate retweets to tens of millions of his followers, with those tweets then picked up and rebroadcast on cable-television news channels, including one (RT, formerly known as Russia Today) that is funded by a foreign government?

The 2016 election represents the latest chapter in the disintegration of the legacy institutions that had set bounds for U.S. politics in the postwar era. It is tempting (and in many ways correct) to view the Donald Trump campaign as unprecedented in its breaking of established norms of politics. Yet this type of campaign could only be successful because established institutions—especially the mainstream media and politicalparty organizations—had already lost most of their power, both in the United States and around the world….(More)”

Working with Change: Systems Approaches to Public Sector Challenges

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 at the Observatory of Public Sector Innovation: “The draft report “Working with Change: Systems Approaches to Public Sector Challenges” is now available online. In addition to the framework that was introduced previously on Hackpad, the team working on systems thinking at the Observatory has added four in-depth case studies from Canada, Finland, Iceland and the Netherlands to the analysis. The empirical cases show that systems change in the public sector is possible; moreover, that it can work in diverse settings: child protection in the Netherlands, responding to domestic violence in Iceland, engaging with the sharing economy in Canada, and in experimental policy design in Finland. The final version of the report is expected in June 2017. (Download the draft report here).