crowdsourcing

Letting the people decide … but will government listen?

Curated on February 18, 2016August 3, 2018 by Stefaan Verhulst

David Donaldson in The Mandarin: “If we now have the technology to allow citizens to vote directly on all issues, what job remains for public servants?

While new technology may provide new options to contribute, the really important thing is governmental willingness to actually listen, says Maria Katsonis, the Victorian Department of Premier and Cabinet’s director of equality.

The balance between citizen consultation and public service expertise in decision-making remains a hot debate, with South Australian Premier Jay Weatherill warning last year that while expertise in policy is important, overzealous bureaucrats and politicians can disenfranchise citizens.

The internet is assisting government to attain opinions from people more easily than ever before. SA, for example, has embraced the use of citizen juries in policy formation through its youSAy portal — though as yet on only some issues. Finland has experimented with digitally crowdsourcing input into the policymaking process.

The Victorian government, meanwhile, has received blowback around claims its recent announcement for a “skyrail” in Melbourne’s south-eastern suburbs went ahead with very little consultation…

Indeed, even a direct vote doesn’t mean the government is really listening to the people. A notable example of a government using a poorly designed popular vote to rubber stamp its own intentions was an online poll in Queensland on whether to cut public transport fares which was worded to suit the government’s own predilections.

Giving citizens the tools to contribute

Katsonis said she didn’t want to “diss crowdsourcing”; governments should think about where using it might be appropriate, and where it might not. Directly crowdsourcing legislation is perhaps not the best way to use the “wisdom of the crowd”, she suggested….The use of people’s panels to inform policy and budgeting — for example at the City of Melbourne — shows some promise as one tool to improve engagement. Participants of people’s panels — which see groups of ordinary citizens being given background information about the task at hand and then asked to come up with a proposal for what to do — tend to report a higher trust in governmental processes after they’ve gained some experience of the difficulty of making those decisions.

One of the benefits of that system is the chance to give participants the tools to understand those processes for themselves, rather than going in cold, as some other direct participation tools do….

Despite the risks, processes such as citizens’ panels are still a more nuanced approach than calls for frequent referenda or the new breed of internet-based political parties, such as Australia’s Online Direct Democracy, that promise their members of parliament will vote however a majority of voters tell them to….(More)”

Five ways tech is crowdsourcing women’s empowerment

Curated on February 10, 2016December 13, 2018 by Stefaan Verhulst

Zara Rahman in The Guardian: “Around the world, women’s rights advocates are crowdsourcing their own data rather than relying on institutional datasets.

Citizen-generated data is especially important for women’s rights issues. In many countries the lack of women in positions of institutional power, combined with slow, bureaucratic systems and a lack of prioritisation of women’s rights issues means data isn’t gathered on relevant topics, let alone appropriately responded to by the state.

Even when data is gathered by institutions, societal pressures may mean it remains inadequate. In the case of gender-based violence, for instance, women often suffer in silence, worrying nobody will believe them or that they will be blamed. Providing a way for women to contribute data anonymously or, if they so choose, with their own details, can be key to documenting violence and understanding the scale of a problem, and thus deciding upon appropriate responses.

Crowdsourcing data on street harassment in Egypt

Using open source platform Ushahidi, HarassMap provides women with a way to document incidences of street harassment. The project, which began in 2010, is raising awareness of how common street harassment is, giving women’s rights advocates a concrete way to highlight the scale of the problem….

Documenting experiences of reporting sexual harassment and violence to the police in India

Last year, The Ladies Finger, a women’s zine based in India, partnered with Amnesty International to support its Ready to Report campaign, which aimed to make it easier for survivors of sexual violence to file a police complaint. Using social media and through word of mouth, it asked the community if they had experiences to share about reporting sexual assault and harassment to the police. Using these crowdsourced leads, The Ladies Finger’s reporters spoke to people willing to share their experiences and put together a series of detailed contextualised stories. They included a piece that evoked a national outcry and spurred the Uttar Pradesh government to make an arrest for stalking, after six months of inaction….

Reporting sexual violence in Syria

Women Under Siege is a global project by Women’s Media Centre that is investigating how rape and sexual violence is used in conflicts. Its Syria project crowdsources data on sexual violence in the war-torn country. Like HarassMap, it uses the Ushahidi platform to geolocate where acts of sexual violence take place. Where possible, initial reports are contextualised with deeper media reports around the case in question….

Finding respectful gynaecologists in India

After recognising that many women in her personal networks were having bad experiences with gynaecologists in India, Delhi-based Amba Azaad began – with the help of her friends – putting together a list of gynaecologists who had treated patients respectfully called Gynaecologists We Trust. As the site says, “Finding doctors who are on our side is hard enough, and when it comes to something as intimate as our internal plumbing, it’s even more difficult.”…

Ending tech-related violence against women

In 2011, Take Back the Tech, an initiative from the Association for Progressive Communications, started a map gathering incidences of tech-related violence against women. Campaign coordinator Sara Baker says crowdsourcing data on this topic is particularly useful as “victims/survivors are often forced to tell their stories repeatedly in an attempt to access justice with little to no action taken on the part of authorities or intermediaries”. Rather than telling that story multiple times and seeing it go nowhere, their initiative gives people “the opportunity to make their experience visible (even if anonymously) and makes them feel like someone is listening and taking action”….(More)

Private Provision of Public Goods via Crowdfunding

Curated on February 9, 2016October 23, 2018 by Stefaan Verhulst

Paper by Robert Chovanculiak and Marek Hudík: “Private provision of public goods is typically associated with three main problems: (1) high organization costs, (2) the assurance problem, and (3) the free-rider problem. We argue that technologies which enable crowdfunding (the method of funding projects by raising small amounts of money from a large number of people via the internet), have made the overall conditions for private provision of public goods more favorable: these technologies lowered the organization costs and enabled to employ more efficient mechanisms which reduce the assurance and free-rider problems. It follows that if the reason for government provision of public goods is higher efficiency as suggested by the standard theory, then with the emergence of crowdfunding we should observe a decline of the government role in this area….(More)”

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

Curated on February 4, 2016August 3, 2018 by Stefaan Verhulst

Edward Glaeser, Andrew Hillis, Scott Kominers and Michael Luca in American Economic Review: Papers and Proceedings: “The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to crowdsource competence by making data public and offering a reward for the best algorithm. A simple model suggests that open tournaments dominate consulting contracts when cities can tolerate risk and when there is enough labor with low opportunity costs. We also report on an inexpensive Boston-based restaurant tournament, which yielded algorithms that proved reasonably accurate when tested “out-of-sample” on hygiene inspections….(More)”

Platform for Mumbai’s slum entrepreneurs

Curated on February 3, 2016October 23, 2018 by Stefaan Verhulst

Springwise: “We recently saw an initiative that empowered startup talent in a Finnish refugee camp, and now Design Museum Dharavi is a mobile museum that will provide a platform for makers in the Mumbai neighborhood.

The initiative is a brainchild of artist Jorge Rubio and Creative Industries Fund NL. Taking the model of a pop-up, it will stop at various locations throughout the neighborhood. Despite being an ‘informal settlement’, Dharavi is famed for producing very little waste due to a culture of recycling and repurposing. The mobile museum will showcase local makers, enable them to connect with potential clients and run workshops, ultimately elevating the global social perception towards life in the so-called ‘slums’. Home to over a million people, Dharavi has the additional tourism pull from appearing on the film Slumdog Millionaire…..(More)”

A Gargantuan Challenge for The Megalopolis: Mexico City calls citizens to help map its complex public bus system

Curated on February 2, 2016May 29, 2019 by Stefaan Verhulst

“Mexico City, the largest and oldest urban agglomeration in the American continent. The city is home to an incredible diversity of people and cultures, and its size and its diversity also poses certain challenges. In a city with such big scale (the metropolitan area measures 4,887 mi2) transportation is one of its main problems. Finding ways to improve how people move within requires imagination and cooperation from decision makers and society alike.

The scale and dynamism of Mexico City’s public transport system represents a challenge to generate quality information. Processes for the generation of mobility data are time-consuming and expensive. Given this scenario, the best alternative for the city is to include transport users in generating this information.

The megalopolis lacks an updated, open database of its more than 1,500 bus routes. To tackle this problem, Laboratorio para la Ciudad (Mexico City’s experimental office and creative think-tank, reporting to the Mayor) partnered with 12 organizations that include NGOs and other government offices to develop Mapatón CDMX: a crowdsourcing and gamification experiment to map the city’s bus routes through civic collaboration and technology.

After one year of designing and testing a strategy, the team behind Mapatón CDMX is calling citizens to map the public transport system by participating on a city game from January 29th to February 14th 2016. The game’s goal is to map routes of licenced public transport (buses, minibuses and vans) from start to finish in order to score points, which is done through an app for Android devices that gathers GPS data from the user inside the bus.

The mappers will participate individually or in groups with friends and family for two weeks. As an incentive and once the mapping marathon is finished, those participants with higher scores will earn cash prizes and electronic devices. (A smart algorithm creates incentives to map the longest or most ignored routes, giving mappers extra points.) But what is most valuable: the data resulting will be openly available at the end of February 2016, much faster and cheaper than with traditional processes.

Mapatón CDMX is an innovative and effective way to generate updated and open information about transport routes as the game harnesses collective intelligence of the gargantuan city. Organisers consider that the open database may be used by anyone to create –for example– data driven policy, strategies for academic analysis, maps for users, applications, visualizations, among many other digital products….(More)”

Crowdsourcing Diagnosis for Patients With Undiagnosed Illnesses: An Evaluation of CrowdMed

Curated on January 19, 2016August 3, 2018 by Stefaan Verhulst

Paper by Ashley N.D Meyer et al in the Journal of Medical Internet Research: ” Background: Despite visits to multiple physicians, many patients remain undiagnosed. A new online program, CrowdMed, aims to leverage the “wisdom of the crowd” by giving patients an opportunity to submit their cases and interact with case solvers to obtain diagnostic possibilities.

Objective: To describe CrowdMed and provide an independent assessment of its impact.

Methods: Patients submit their cases online to CrowdMed and case solvers sign up to help diagnose patients. Case solvers attempt to solve patients’ diagnostic dilemmas and often have an interactive online discussion with patients, including an exchange of additional diagnostic details. At the end, patients receive detailed reports containing diagnostic suggestions to discuss with their physicians and fill out surveys about their outcomes. We independently analyzed data collected from cases between May 2013 and April 2015 to determine patient and case solver characteristics and case outcomes.

Results: During the study period, 397 cases were completed. These patients previously visited a median of 5 physicians, incurred a median of US $10,000 in medical expenses, spent a median of 50 hours researching their illnesses online, and had symptoms for a median of 2.6 years. During this period, 357 active case solvers participated, of which 37.9% (132/348) were male and 58.3% (208/357) worked or studied in the medical industry. About half (50.9%, 202/397) of patients were likely to recommend CrowdMed to a friend, 59.6% (233/391) reported that the process gave insights that led them closer to the correct diagnoses, 57% (52/92) reported estimated decreases in medical expenses, and 38% (29/77) reported estimated improvement in school or work productivity.

Conclusions: Some patients with undiagnosed illnesses reported receiving helpful guidance from crowdsourcing their diagnoses during their difficult diagnostic journeys. However, further development and use of crowdsourcing methods to facilitate diagnosis requires long-term evaluation as well as validation to account for patients’ ultimate correct diagnoses….(More)”

Human-machine superintelligence pegged as key to solving global problems

Curated on January 15, 2016August 3, 2018 by Stefaan Verhulst

Ravi Mandalia at Dispatch Tribunal: “Global complex problems such as climate change and geopolitical conflicts need a new approach if we want to solve them and researchers have suggested that human-machine super intelligence could be the key.

These so called ‘wicked’ problems are some of the most dire ones that need our immediate attention and researchers from the Human Computation Institute (HCI) and Cornell University have presented their new vision of human computation that could help solve these problems in an article published in the journal Science.

Scientists behind the article have cited how power of human computation has helped push the traditional limits to new heights – something that was not achievable until now. Humans are still ahead of machines at great many things – cognitive abilities is one the key areas – but if their powers are combined with those of machines, the result would be multidimensional collaborative networks that achieve what traditional problem-solving cannot.

Researchers have already proved that micro-tasking has helped with some complex problems including build the world’s most complete map of human retinal neurons; however, this approach isn’t always viable to solve much more complex problems of today and entirely new and innovative approach is required to solve “wicked problems” – those that involve many interacting systems that are constantly changing, and whose solutions have unforeseen consequences (e.g., corruption resulting from financial aid given in response to a natural disaster).

Recently developed human computation technologies that provide real-time access to crowd-based inputs could enable creation of more flexible collaborative environments and such setups are more apt for addressing the most challenging issues.

This idea is already taking shape in several human computation projects, including YardMap.org, which was launched by the Cornell in 2012 to map global conservation efforts one parcel at a time.

“By sharing and observing practices in a map-based social network, people can begin to relate their individual efforts to the global conservation potential of living and working landscapes,” says Janis Dickinson, Professor and Director of Citizen Science at the Cornell Lab of Ornithology.

YardMap allows participants to interact and build on each other’s work – something that crowdsourcing alone cannot achieve. The project serves as an important model for how such bottom-up, socially networked systems can bring about scalable changes how we manage residential landscapes.

HCI has recently set out to use crowd-power to accelerate Cornell-based Alzheimer’s disease research. WeCureAlz.com combines two successful microtasking systems into an interactive analytic pipeline that builds blood flow models of mouse brains. The stardust@home system, which was used to search for comet dust in one million images of aerogel, is being adapted to identify stalled blood vessels, which will then be pinpointed in the brain by a modified version of the EyeWire system….(More)”

Can crowdsourcing decipher the roots of armed conflict?

Curated on January 15, 2016August 3, 2018 by Stefaan Verhulst

Stephanie Kanowitz at GCN: “Researchers at Pennsylvania State University and the University of Texas at Dallas are proving that there’s accuracy, not just safety, in numbers. The Correlates of War project, a long-standing effort that studies the history of warfare, is now experimenting with crowdsourcing as a way to more quickly and inexpensively create a global conflict database that could help explain when and why countries go to war.

The goal is to facilitate the collection, dissemination and use of reliable data in international relations, but a byproduct has emerged: the development of technology that uses machine learning and natural language processing to efficiently, cost-effectively and accurately create databases from news articles that detail militarized interstate disputes.

The project is in its fifth iteration, having released the fourth set of Militarized Dispute (MID) Data in 2014. To create those earlier versions, researchers paid subject-matter experts such as political scientists to read and hand code newswire articles about disputes, identifying features of possible militarized incidents. Now, however, they’re soliciting help from anyone and everyone — and finding the results are much the same as what the experts produced, except the results come in faster and with significantly less expense.

As news articles come across the wire, the researchers pull them and formulate questions about them that help evaluate the military events. Next, the articles and questions are loaded onto the Amazon Mechanical Turk, a marketplace for crowdsourcing. The project assigns articles to readers, who typically spend about 10 minutes reading an article and responding to the questions. The readers submit the answers to the project researchers, who review them. The project assigns the same article to multiple workers and uses computer algorithms to combine the data into one annotation.

A systematic comparison of the crowdsourced responses with those of trained subject-matter experts showed that the crowdsourced work was accurate for 68 percent of the news reports coded. More important, the aggregation of answers for each article showed that common answers from multiple readers strongly correlated with correct coding. This allowed researchers to easily flag the articles that required deeper expert involvement and process the majority of the news items in near-real time and at limited cost….(more)”