Paper by Piyush Yadav et al: “In today’s era of globalization, sustainable mobility is considered as a key factor in the economic growth of any country. With the emergence of open data initiatives, there is tremendous potential to improve mobility. This paper presents findings of a detailed analysis of mobility open data initiatives in nine smart cities – Amsterdam, Barcelona, Chicago, Dublin, Helsinki, London, Manchester, New York and San Francisco. The paper discusses the study of various sustainable indicators in the mobility domain and its convergence with present open datasets. Specifically, it throws light on open data ecosystems in terms of their production and consumption. It gives a comprehensive view of the nature of mobility open data with respect to their formats, interactivity, and availability. The paper details the open datasets in terms of their alignment with different mobility indicators, publishing platforms, applications and API’s available. The paper discusses how these open datasets have shown signs of fostering organic innovation and sustainable growth in smart cities with impact on mobility trends. The results of the work can be used to inform the design of data driven sustainable mobility in smart cities to maximize the utilization of available open data resources….(More)”.
Volunteers teach AI to spot slavery sites from satellite images
This data will then be used to train machine learning algorithms to automatically recognise brick kilns in satellite imagery. If computers can pinpoint the location of such possible slavery sites, then the coordinates could be passed to local charities to investigate, says Kevin Bales, the project leader, at the University of Nottingham, UK.
South Asian brick kilns are notorious as modern-day slavery sites. There are an estimated 5 million people working in brick kilns in South Asia, and of those nearly 70 per cent are thought to be working there under duress – often to pay off financial debts.
However, no one is quite sure how many of these kilns there are in the so-called “Brick Belt”, a region that stretches across parts of Pakistan, India and Nepal. Some estimates put the figure at 20,000, but it may be as high as 50,000.
Bales is hoping that his machine learning approach will produce a more accurate figure and help organisations on the ground know where to direct their anti-slavery efforts.
It’s great to have a tool for identifying possible forced labour sites, says Sasha Jesperson at St Mary’s University in London. But it is just a start – to really find out how many people are being enslaved in the brick kiln industry, investigators still need to visit every site and work out exactly what’s going on there, she says….
So far, volunteers have identified over 4000 potential slavery sites across 400 satellite images taken via Google Earth. Once these have been checked several times by volunteers, Bales plans to use these images to teach the machine learning algorithm what kilns look like, so that it can learn to recognise them in images automatically….(More)”.
The Politics of Listening: Possibilities and Challenges for Democratic Life
Book by Leah Bassel: “…explores listening as a social and political practice, in contrast to the more common focus on voice and speaking. The author draws on cases from Canada, France and the United Kingdom, exploring: minority women and debates over culture and religion; riots and young men in France and England; citizen journalism and the creative use of different media; and solidarity between migrant justice and indigenous activists. Analysis across these diverse settings considers whether and how a politics of listening, which demands that the roles of speakers and listeners change, can be undertaken in adversarial and tense political moments. The Politics of Listening argues that such a practice has the potential to create new ways of being and acting together, as political equals who are heard on their own terms….(More)”
Detecting riots with Twitter
Cardiff University News: “An analysis of data taken from the London riots in 2011 showed that computer systems could automatically scan through Twitter and detect serious incidents, such as shops being broken in to and cars being set alight, before they were reported to the Metropolitan Police Service.
The computer system could also discern information about where the riots were rumoured to take place and where groups of youths were gathering. The new research, published in the peer-review journal ACM Transactions on Internet Technology, showed that on average the computer systems could pick up on disruptive events several minutes before officials and over an hour in some cases.
“Antagonistic narratives and cyber hate”
The researchers believe that their work could enable police officers to better manage and prepare for both large and small scale disruptive events.
Co-author of the study Dr Pete Burnap, from Cardiff University’s School of Computer Science and Informatics, said: “We have previously used machine-learning and natural language processing on Twitter data to better understand online deviance, such as the spread of antagonistic narratives and cyber hate…”
“We will never replace traditional policing resource on the ground but we have demonstrated that this research could augment existing intelligence gathering and draw on new technologies to support more established policing methods.”
Scientists are continually looking to the swathes of data produced from Twitter, Facebook and YouTube to help them to detect events in real-time.
Estimates put social media membership at approximately 2.5 billion non-unique users, and the data produced by these users have been used to predict elections, movie revenues and even the epicentre of earthquakes.
In their study the research team analysed 1.6m tweets relating to the 2011 riots in England, which began as an isolated incident in Tottenham on August 6 but quickly spread across London and to other cities in England, giving rise to looting, destruction of property and levels of violence not seen in England for more than 30 years.
Machine-learning algorithms
The researchers used a series of machine-learning algorithms to analyse each of the tweets from the dataset, taking into account a number of key features such as the time they were posted, the location where they were posted and the content of the tweet itself.
Results showed that the machine-learning algorithms were quicker than police sources in all but two of the disruptive events reported…(More)”.
LSE launches crowdsourcing project inspiring millennials to shape Brexit
LSE Press Release: “A crowdsourcing project inspiring millennials in Britain and the EU to help shape the upcoming Brexit negotiations is being launched by the London School of Economics and Political Science (LSE) this week.
The social media-based project, which hopes to engage 3000 millennials aged 35 and under, kicks off on 23 June, the first anniversary of the life-changing vote to take Britain out of the EU.
One of the Generation Brexit project leaders, Dr Jennifer Jackson-Preece from LSE’s European Institute, said the online platform would give a voice to British and European millennials on the future of Europe in the Brexit negotiations and beyond.
She said: “We’re going to invite millennials from across the UK and Europe to debate, decide and draft policy proposals that will be sent to parliaments in Westminster and Strasbourg during the negotiations.”
Another project leader, Dr Roch Dunin-Wąsowicz, said the pan-European project would seek views from a whole cross section of millennials, including Leavers, Remainers, left and right-wingers, European federalists and nationalists.
“We want to come up with millennial proposals for a mutually beneficial relationship, reflecting the diverse political, cultural, religious and economic backgrounds in the UK and EU.
“We are especially keen to engage the forgotten, the apolitical and the apathetic – for whom Brexit has become a moment of political awakening,” he said.
Generation Brexit follows on the heels of LSE’s Constitution UK crowdsourcing project in 2015, which broke new ground in galvanising people around the country to help shape Britain’s first constitution. The 10-week internet project signed up 1500 people from all corners of the UK to debate how the country should be governed.
Dr Manmit Bhambra, also working on the project, said the success of the Constitution UK platform had laid the foundation for Generation Brexit, with LSE hoping to double the numbers and sign up 3000 participants, split equally between Britain and Europe.
The project can be accessed at www.generationbrexit.org and all updates will be available on Twitter @genbrexit & @lsebrexitvote with the hashtag #GenBrexit, and on facebook.com/GenBrexit… (More)”.
Citizen Participation: A Critical Look at the Democratic Adequacy of Government Consultations
The Digital Footprint of Europe’s Refugees
Pew Research Center: “Migrants leaving their homes for a new country often carry a smartphone to communicate with family that may have stayed behind and to help search for border crossings, find useful information about their journey or search for details about their destination. The digital footprints left by online searches can provide insight into the movement of migrants as they transit between countries and settle in new locations, according to a new Pew Research Center analysis of refugee flows between the Middle East and Europe.1
Refugees from just two Middle Eastern countries — Syria and Iraq — made up a combined 38% of the record 1.3 million people who arrived and applied for asylum in the European Union, Norway and Switzerland in 2015 and a combined 37% of the 1.2 million first-time asylum applications in 2016. Most Syrian and Iraqi refugees during this period crossed from Turkey to Greece by sea, before continuing on to their final destinations in Europe.
Since many refugees from Syria and Iraq speak Arabic as their native, if not only, language, it is possible to identify key moments in their migration by examining trends in internet searches conducted in Turkey using Arabic, as opposed to the dominant Turkic languages in that country. For example, Turkey-based searches for the word “Greece” in Arabic closely mirror 2015 and 2016 fluctuations in the number of refugees crossing the Aegean Sea to Greece. The searches also provide a window into how migrants planned to move across borders — for example, the search term “Greece” was often combined with “smuggler.” In addition, an hourly analysis of searches in Turkey shows spikes in the search term “Greece” during early morning hours, a typical time for migrants making their way across the Mediterranean.
Comparing online searches with migration data
This report’s analysis compares data from internet searches with government and international agency refugee arrival and asylum application data in Europe from 2015 and 2016. Internet searches were captured from Google Trends, a publicly-available analytical tool that standardizes search volume by language and location over time. The analysis examines searches in Arabic, done in Turkey and Germany, for selected words such as “Greece” or “German” that can be linked to migration patterns. For a complete list of search terms employed, see the methodology. Google releases hourly, daily and weekly search data.
Google does not release the actual number of searches conducted but provides a metric capturing the relative change in searches over a specified time period. The metric ranges from 0 to 100 and indicates low- or high-volume search activity for the time period. Predicting or deciphering human behavior from the analysis of internet searches has limitations and remains experimental. But, internet search data does offer a potentially promising way to explore migration flows crossing international borders.
Migration data cited in this report come from two sources. The first is the United Nations High Commissioner for Refugees (UNHCR), which provides data on new arrivals into Greece on a monthly basis. The second is first-time asylum applications from Eurostat, Europe’s statistical agency. Since both Syrian and Iraqi asylum seekers have had fairly high acceptance rates in Europe, it is likely that most Syrian and Iraqi migrants entering during 2015 and 2016 were counted by UNHCR and applied for asylum with European authorities.
The unique circumstances of this Syrian and Iraqi migration — the technology used by refugees, the large and sudden movement of refugees and language groups in transit and destination countries — presents a unique opportunity to integrate the analysis of online searches and migration data. The conditions that permit this type of analysis may not apply in other circumstances where migrants are moving between countries….(More)”
Governments and Citizens in the Digital Age
At the High-Level Roundtable on the European Union Ministerial Declaration on Digital Government, delegations from 13 member states met to discuss a “concept paper” prepared by the Lisbon Council.
It spelled out three areas for highlight:
- the “once-only” principle
- open government
- eIdentity and security
Delegations promised to take up the discussion in the Council of the European Union, but they want to hear from you, too. If you haven’t already, please visit www.ideas4digitalgov.eu, where you will find a commentable version of The 2017 Ministerial Declaration on Digital Government: Key Principles and Guidelines, the “thought paper” launched at the high-level roundtable.
Let us know what you think. The consultation is open and the results, if successful, will contribute to a new Ministerial Declaration on Digital Government to be adopted at the Council of the European Union informal meeting in Autumn, 2017. (More information)”
Applying Public Opinion in Governance
Book by Scott Edward Bennett: “…explores how public opinion is used to design, monitor and evaluate government programmes in Australia, Canada, New Zealand, and the United Kingdom. Using information collected from the media and from international practitioners in the public opinion field, as well as interviews in each of the 4 countries, the author describes how views of public opinion and governance differ significantly between elites and the general public. Bennett argues that elites generally risk more by allowing the creation of new data, fearing that its analysis may become public and create communications and political problems of various kinds. The book finds evidence that recent conservative governments in several countries are changing their perspective on the use of public opinion, and that conventional public opinion studies are facing challenges from the availability of other kinds of information and new technologies….(More)”
The Internet Doesn’t Have to Be Bad for Democracy
Tom Simonite at MIT Technology Review: “Accusations that the Internet and social media sow political division have flown thick and fast since recent contentious elections in the United States, the United Kingdom, and France. Facebook founder and CEO Mark Zuckerberg has even pledged to start working on technology that will turn the energy of online interactions into a more positive force (see “We Need More Alternatives to Facebook”).
Tiny, largely self-funded U.S. startup Pol.is has been working on a similar project longer than Zuckerberg and already has some promising results. The company’s interactive, crowdsourced survey tool can be used to generate maps of public opinion that help citizens, governments, and legislators discover the nuances of agreement and disagreement on contentious issues that exist. In 2016, that information helped the government of Taiwan break a six-year deadlock over how to regulate online alcohol sales, caused by entrenched, opposing views among citizens on what rules should apply.
“It allowed different sides to gradually see that they share the same underlying concern despite superficial disagreements,” says Audrey Tang, Taiwan’s digital minister. The island’s government now routinely sends out Pol.is surveys using Facebook ads, and to special-interest groups. It has also used the system to help thrash out what rules should apply to Airbnb rentals and mobile ride-hailing services such as Uber.
Pol.is’s open-source software is designed to serve up interactive online surveys around a particular issue. People are shown a series of short statements about aspects of a broader issue—for example, “Uber drivers should need the same licenses cab drivers do”—and asked to click to signal that they agree or disagree. People can contribute new statements of their own for others to respond to. The tangle of crisscrossing responses is used to automatically generate charts that map out different clusters of opinion, making it easy to see the points on which people tend to overlap or disagree.
Alternativet, a progressive Danish political party with nine members of parliament, is piloting Pol.is as a way to give its members a more direct role in formulating policy. Jon Skjerning-Rasmussen, a senior process coordinator with the party, says the way Pol.is visualizations are shared with people as they participate in a survey—letting them see how their opinions compare with those of others—helps people engage with the tool….(More).