Jamie Woodcock et al in the Journal of Peer Production: “This paper explores the relationship between paid labour and unpaid users within the Zooniverse, a crowdsourced citizen science platform. The platform brings together a crowd of users to categorise data for use in scientific projects. It was initially established by a small group of academics for a single astronomy project, but has now grown into a multi-project platform that has engaged over 1.3 million users so far. The growth has introduced different dynamics to the platform as it has incorporated a greater number of scientists, developers, links with organisations, and funding arrangements—each bringing additional pressures and complications. The relationships between paid/professional and unpaid/citizen labour have become increasingly complicated with the rapid expansion of the Zooniverse. The paper draws on empirical data from an ongoing research project that has access to both users and paid professionals on the platform. There is the potential through growing peer-to-peer capacity that the boundaries between professional and citizen scientists can become significantly blurred. The findings of the paper, therefore, address important questions about the combinations of paid and unpaid labour, the involvement of a crowd in citizen science, and the contradictions this entails for an online platform. These are considered specifically from the viewpoint of the users and, therefore, form a new contribution to the theoretical understanding of crowdsourcing in practice….(More)”.
Citizen science volunteers driven by desire to learn
UoP News: “People who give up their time for online volunteering are mainly motivated by a desire to learn, a new study has found.
The research surveyed volunteers on ‘citizen science’ projects and suggests that this type of volunteering could be used to increase general knowledge of science within society.
The study, led by Dr Joe Cox from the Department of Economics and Finance, discovered that an appetite to learn more about the subject was the number one driver for online volunteers, followed by being part of a community. It also revealed that many volunteers are motivated by a desire for escapism.
Online volunteering and crowdsourcing projects typically involve input from large numbers of contributors working individually but towards a common goal. This study surveyed 2000 people who volunteer for ‘citizen science’ projects hosted by Zooniverse, a collection of research projects that rely on volunteers to help scientists with the challenge of interpreting massive amounts of data….“What was interesting was that characteristics such as age, gender and level of education had no correlation with the amount of time people give up and the length of time they stay on a project. These participants were relatively highly educated compared with the rest of the population, but those with the highest levels of education do not appear to contribute the most effort and information towards these projects.”
The study noticed pronounced changes in how people are motivated at different stages of the volunteer process. While a desire to learn is the most important motivation among contributors at the early stages, the opportunities for social interaction and escapism become more important motivations at later stages….
He suggests that online volunteering and citizen science projects could incentivise participation by offering clearly defined opportunities for learning, while representing an effective way of increasing scientific literacy and knowledge within society….(More)”.
The accuracy of farmer-generated data in an agricultural citizen science methodology
More)”.
Over the last decades, participatory approaches involving on-farm experimentation have become more prevalent in agricultural research. Nevertheless, these approaches remain difficult to scale because they usually require close attention from well-trained professionals. Novel large-N participatory trials, building on recent advances in citizen science and crowdsourcing methodologies, involve large numbers of participants and little researcher supervision. Reduced supervision may affect data quality, but the “Wisdom of Crowds” principle implies that many independent observations from a diverse group of people often lead to highly accurate results when taken together. In this study, we test whether farmer-generated data in agricultural citizen science are good enough to generate valid statements about the research topic. We experimentally assess the accuracy of farmer observations in trials of crowdsourced crop variety selection that use triadic comparisons of technologies (tricot). At five sites in Honduras, 35 farmers (women and men) participated in tricot experiments. They ranked three varieties of common bean (Phaseolus vulgaris L.) for Plant vigor, Plant architecture, Pest resistance, and Disease resistance. Furthermore, with a simulation approach using the empirical data, we did an order-of-magnitude estimation of the sample size of participants needed to produce relevant results. Reliability of farmers’ experimental observations was generally low (Kendall’s W 0.174 to 0.676). But aggregated observations contained information and had sufficient validity (Kendall’s tau coefficient 0.33 to 0.76) to identify the correct ranking orders of varieties by fitting Mallows-Bradley-Terry models to the data. Our sample size simulation shows that low reliability can be compensated by engaging higher numbers of observers to generate statistically meaningful results, demonstrating the usefulness of the Wisdom of Crowds principle in agricultural research. In this first study on data quality from a farmer citizen science methodology, we show that realistic numbers of less than 200 participants can produce meaningful results for agricultural research by tricot-style trials….(Carnegie Mellon scientists use app to track foul odors in Pittsburgh
Ashley Murray at Pittsburgh Post-Gazette: “If you smell something, say something. Scientists at Carnegie Mellon University want Pittsburghers to put their collective noses to the task and report foul smells using a mobile reporting application called Smell PGH.
Since the app launched last year, more than 1,300 users have reported foul smells more than 4,300 times — most of which they’ve described as “industrial,” “sulfur” or “woodsmoke.”
The app was developed at CMU’s Community Robotics, Education and Technology Empowerment (CREATE) Lab.
“The app is really about the community,” said Beatrice Dias, project director at the CREATE Lab. “To show that you’re not alone in your negative experiences of pollution impact.”
Smartphone users can create a “smell report” within the app, which has the capability to alert the Allegheny County Health Department.
Health department spokeswoman Melissa Wade said the agency has received and followed-up on 3,000 reports generated from the app.
Users can also view a real-time map of all smell reports in and around the city. A new feature added last month allows users to go back in time and play a time-lapse animation of little colored triangles — green, yellow and red, symbolizing varying degrees of smell — that pop up and disappear as odors were reported….
“The goal is I’m trying to predict the smell in the next few hours, like a weather forecast,” Mr. Hsu said. “Let’s say today from 12 to 1 p.m. we have 10 smell reports. I can check not only the smell reports, but the data from other sensor stations around Pittsburgh, so I know during this hour what the reading is of all the air-quality related variables, like PM 2.5, like sulfur and nitrogen oxides, [and] the wind speed, the wind direction. There are a lot of parameters we need to consider.”…
Another goal of this citizen science initiative, Mr. Hsu said, is to improve communication between the public and governmental regulation agencies, like the health department.
“Before this technology if you smelled something bad, you might not be sure if this came from ambient air, your neighborhood or just traffic issues,” Mr. Hsu said. “But if you use the app, you can see a lot of your neighbors are reporting, too. And then maybe the government can use this to see the problems in a city.”…(More)”.
Europol introduce crowdsourcing to catch child abusers
LeakofNations: “The criminal intelligence branch of the European Union, known as Europol, have started a campaign called #TraceAnObject which uses social media crowdsourcing to detect potentially-identifying objects in material that depicts child abuse….
Investigative crowdsourcing has gained traction in academic and journalistic circles in recent years, but this represents the first case of government bureaus relying on social media people-power to conduct more effective analysis.
Journalists are increasingly relying on a combination of high-end computing to organise terabytes of data and internet cloud hubs that allow a consortium of journalists from around the world to share their analysis of the material. In the Panama Papers scoop the Australian software Nuix was used to analyse, extract, and index documents into an encrypted central hub in which thousands of journalists from 80 countries were able to post their workings and assist others in a forum-type setting. This model was remarkably efficient; over 11.5 million documents, dating back to the 1970’s, were analysed in less than a year.
The website Zooinverse has achieved huge success in creating public participation on academic projects, producing the pioneering game Foldit, where participants play with digital models of proteins. The Oxford University-based organisation has now engaged over 1 million volunteers, and has has significant successes in astronomy, ecology, cell biology, humanities, and climate science.
The most complex investigations still require thousands of hours of straightforward tasks that cannot be computerised. The citizen science website Planet Four studies conditions on Mars, and needs volunteers to compare photographs and detect blotches on Mars’ surface – enabling anyone to feel like Elon Musk, regardless of their educational background.
Child abuse is something that incites anger in most people. Crowdsourcing is an opportunity to take the donkey-work away from slow bureaucratic offices and allow ordinary citizens, many of whom felt powerless to protect children from these vile crimes, to genuinely progress cases that will make children safer.
Zooinverse proves that the public are hungry for this kind of work; the ICIJ project model of a central cloud forum shows that crowdsourcing across international borders allows data to be interpreted more efficiently. Europol’s latest idea could well be a huge success.
Even the most basic object could potentially provide vital clues to the culprit’s identity. The most significant items released so far include a school uniform complete with ID card necktie, and a group of snow-covered lodges….(More) (see also #TraceAnObject).
Citizen Science and Alien Species in Europe
A Framework for Assessing Technology Hubs in Africa
Paper by Jeremy de Beer, Paula Millar, Jacquelen Mwangi, Victor B. Nzomo, and Isaac Rutenberg: “This article explains the importance of technology hubs as drivers of innovation, social change, and economic opportunity within and beyond the African continent. The article is the first to thoroughly review and synthesize findings from multi-disciplinary literature, and integrate insights from qualitative data gathered via interviews and fieldwork. It identifies three archetypes of hubs — clusters, companies, and countries — and discusses examples of each archetype using Kenya as a case study. The article discusses potential collaboration, conflicts, and competition among these archetypes of hubs, and concludes with recommendations for future researchers….(More)”
Minecraft in urban planning: how digital natives are shaking up governments
Rebecca Hill 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)“
Software used to predict crime can now be scoured for bias
Dave Gershgorn in Quartz: “Predictive policing, or the idea that software can foresee where crime will take place, is being adopted across the country—despite being riddled with issues. These algorithms have been shown to disproportionately target minorities, and private companies won’t reveal how their software reached those conclusions.
In an attempt to stand out from the pack, predictive-policing startup CivicScape has released its algorithm and data online for experts to scour, according to Government Technology magazine. The company’s Github page is already populated with its code, as well as a variety of documents detailing how its algorithm interprets police data and what variables are included when predicting crime.
“By making our code and data open-source, we are inviting feedback and conversation about CivicScape in the belief that many eyes make our tools better for all,” the company writes on Github. “We must understand and measure bias in crime data that can result in disparate public safety outcomes within a community.”…
CivicScape claims to not use race or ethnic data to make predictions, although it is aware of other indirect indicators of race that could bias its software. The software also filters out low-level drug crimes, which have been found to be heavily biased against African Americans.
While this startup might be the first to publicly reveal the inner machinations of its algorithm and data practices, it’s not an assurance that predictive policing can be made fair and transparent across the board.
“Lots of research is going on about how algorithms can be transparent, accountable, and fair,” the company writes. “We look forward to being involved in this important conversation.”…(More)”.
Drones used in fight against plastic pollution on UK beaches
Tom Cheshire at SkyNews: “On a beach in Kent, Peter Koehler and Ellie Mackay are teaching a drone how to see.
Their project, Plastic Tide, aims to create software that will automatically pick out the pieces of plastic that wash up here on the shingle.
“One of the major challenges we face is that we can only account for 1% of those millions and millions of tonnes [of plastic] that are coming into our oceans every year,” Mr Koehler told Sky News.
“So the question is, where is that 99% going?”
He added: “We just don’t know. It could be in the water, it could be in wildlife, or it could be on beaches.
“And so what the Plastic Tide is doing, it’s using drone technology to image beaches in a way that’s never been done before, on a scientific scale. So that you can build up a picture of how much of that missing 99% is washing up on our beaches.”
Mr Koehler and Ms Mackay use an off-the-shelf drone. They select the area of beach they want to film and a free app comes up with a survey pattern flight path – the drone moves systematically up and down the beach as if it were ploughing it.
The images taken are then uploaded to a scientific crowd-sourcing platform called Zooniverse.
Anyone can log on, look at the images and tag bits of plastic in them.
That will build up a huge amount of data, which will be used to train a machine-learning algorithm to spot plastic by itself – no humans required.
The hope is that, eventually, anyone will be able to fly a drone, take images, then computers will automatically scan the images and determine the levels of plastic pollution on a beach.
This summer, Mr Koehler and Ms Mackay will travel all 3,200 miles of the UK coastline, surveying beaches….
There’s no new, groundbreaking piece of technology here.
Just off-the-shelf components, smart thinking and a desire to put a small dent in a huge problem….(More)”