Paper by Felix Ritchie: “The ‘Five Safes’ is a popular way to structure thinking about data access solutions. Originally used mainly by statistical agencies and social science academics, in recent years it has been adopted more widely across government, health organisations and private sector bodies. This paper explains the Five Safes, how the concept is used to organise and simplify decision-making, and how it helps to address concerns of different constituencies. We show how it aligns to recent regulation, anticipating the shift towards multi-dimensional data management strategies. We provide a number of practical examples as case studies for further information. We also briefly consider what issues the Five Safes does not address, and how the framework sits within a wider body of work on data access which challenges traditional data access models…(More)”.
Smart cities are great. Human-centric cities are (again) the future
Naveen Rajdev at Quartz:” …You don’t want your smart city’s proverbial slip to show, and you don’t want to overwhelm your citizens with too much tech. So what’s the plan?
1. Start making technology invisible
Being able to “see” technology creates interaction, and interaction creates distraction.
To illustrate: Assuming your car and smartphone are connected, your phone should be able to notify someone—someone texting you, for example—that you’re driving and can’t respond. You don’t want to take your hands off the wheel, so your phone should instead be able to send an automatic response to the text sender: “I’m driving right now, but I’ll get back to you later.” It keeps you and others safe on the road, and it doesn’t force you to respond….
Detroit, for instance, is already investigating the idea of “invisible” technology, particularly when it comes to residents’ safety. Last fall, Detroit’s city officials partnered with Comcast to expand the area’s Project Green Light program, which allows businesses to install cameras police can use to monitor crimes (and solve them) in real time.
The program’s expansion led to a 50% drop in violent crime at convenience stores and gas stations. Thanks to the technology—which was by no means a distraction to Detroit’s residents—the city is safer, and business is better.
While Detroit excels at making tech inconspicuous, most of the country is doing what it can to be more on-the-grid than ever before, completely ignoring (or altogether missing) the subtleties “invisible” tech offers. Last fall, New York City officials introduced LinkNYC, a free Wi-Fi service throughout Manhattan in the form of 500 touch-screen kiosks available for public use.
As the adage suggests, sometimes there can be too much of a good thing. With the kiosks being essentially too visible in Manhattan’s streets, problems arose: The city’s homeless population began misusing them, and certain groups started insisting the kiosks help officials “spy” on its residents….
2. Your city must be conscious of digital overload
In a world where technology rules, it’s imperative we find time to think, breathe, and unplug, so city leaders must carefully marry tech and mindfulness. Otherwise, they face the consequences of information overload: weakened decision-making and the feeling of being overwhelmed, among others. A city’s occasional digital detox is crucial.
Why? Studies have shown that smartphones could be causing insomnia, social media may be spawning narcissism, and computer screens might be making our kids less empathetic. At some point, a line must be drawn.
Luckily, certain cities are starting to draw it. Late last year, Miami’s development authority department proposed turning lanes clogged with traffic on Biscayne Boulevard into a spacious greenway that welcomed both pedestrians and bicyclists. Beyond that, walking trails are growing along the river and bay, and another trail is in the works. City developers have also approved smaller residential projects in areas that public transit serves….
Even a simple art exhibit can be marred by too much tech. …Other gallery curators aren’t loving the marriage of art and tech. Connie Wolf, Stanford University’s director of the Cantor Arts Center, is particularly cautious. “In our busy lives, in our crazy lives, we’re always connected to technology,” she said. “People want to come into museums and put that technology aside for a moment.”
Bottom line: Being connected is great, but being conscious is better. City leaders would do well to remember this….(More)”.
Are robots taking our jobs?
Hasan Bakhshi et al at Nesta: “In recent years, there has been an explosion of research into the impacts of automation on work. This makes sense: artificial intelligence and robotics are encroaching on areas of human activity that were simply unimaginable a few years ago.
We ourselves have made contributions to this debate (here, here and here). In The Future of Skills, however, we argue that public dialogues that consider automation alone are dangerous and misleading.
They are dangerous, because popular narratives matter for economic outcomes, and a narrative of relentless technological displacement of labour markets risks chilling innovation and growth, at a time when productivity growth is flagging in developed countries.
They are misleading because there are opportunities for boosting growth – if our education and training systems are agile enough to respond appropriately. However, while there is a burgeoning field of research on the automatability of occupations, there is far less that focuses on skills, and even less that generates actionable insights for stakeholders in areas like job redesign and learning priorities.
There is also a need to recognise that parallel to automation is a set of broader technological, demographic, economic and environmental trends which will have profound implications for employment. In some cases, the trends will reinforce one another; in others, they will produce second-order effects which may be missed when viewed in isolation…..
Skills investment must be at the centre of any long-term strategy for adjusting to structural change. A precondition is access to good quality, transparent analysis of future skills needs, as without it, labour market participants and policymakers risk flying blind. The approach we’ve developed is a step towards improving our understanding of this vital agenda and one that invites a more pro-active reaction than the defensive one that has characterised public discussions on automation in recent years. We’d love to hear your comments….(More).”
Open Knowledge Maps
About: “Our Goal is to revolutionize discovery of scientific knowledge. We are building a visual interface that dramatically increases the visibility of research findings for science and society alike. We are a non-profit organization and we believe that a better way to explore and discover scientific knowledge will benefit us all.
- An Open Knowledge Maps visualization presents you with a topical overview for your search term. It is based on the 100 most relevant documents for your search term.
- We use text similarity to create the knowledge maps. The algorithm groups those papers together that have many words in common.
- The visualization is intended to give you a head start on your literature search. You can also use Open Knowledge Maps to stay up-to-date – just limit your search to the most recent papers in the options….(More)”.
A Rights-based Approach to Information in Humanitarian Assistance
Paper by Daniel P. Scarnecchia, Nathaniel A. Raymond, Faine Greenwood, Caitlin Howarth and Danielle N. Poole: “Crisis-affected populations and humanitarian aid providers are both becoming increasingly reliant on information and communications technology (ICTs) for finding and provisioning aid. This is exposing critical, unaddressed gaps in the legal and ethical frameworks that traditionally defined and governed the professional conduct of humanitarian action. The most acute of these gaps is a lack of clarity about what human rights people have regarding information in disaster, and the corresponding obligations incumbent upon governments and aid providers. This need is lent urgency by emerging evidence demonstrating that the use of these technologies in crisis response may be, in some cases, causing harm to the very populations they intend to serve. Preventing and mitigating these harms, while also working to responsibly ensure access to the benefits of information during crises, requires a rights-based framework to guide humanitarian operations. In this brief report, we provide a commentary that accompanies our report, the Signal Code: A Human Rights Approach to Information During Crisis, where we have identified five rights pertaining to the use of information and data during crisis which are grounded in current international human rights and customary law. It is our belief that the continued relevance of the humanitarian project, as it grows increasingly dependent on the use of data and ICTs, urgently requires a discussion of these rights and corresponding obligations….(More)”.
The role of eGovernment in deepening the single market
‘Stop Fake Hate Profiles on Facebook’: Challenges for crowdsourced activism on social media
Johan Farkas and Christina Neumayer in First Monday: “This research examines how activists mobilise against fake hate profiles on Facebook. Based on six months of participant observation, this paper demonstrates how Danish Facebook users organised to combat fictitious Muslim profiles that spurred hatred against ethnic minorities. Crowdsourced action by Facebook users is insufficient as a form of sustainable resistance against fake hate profiles. A viable solution would require social media companies, such as Facebook, to take responsibility in the struggle against fake content used for political manipulation….(More)”.
Using Public Data From Different Sources
Chapter byYair Cohen in Maximizing Social Science Research Through Publicly Accessible Data Sets, book edited by S. Marshall Perry: “The United States federal government agencies as well as states agencies are liberating their data through web portals. Web portals like data.gov, census.gov, healthdata.gov, ed.gov and many others on the state level provide great opportunity for researchers of all fields. This chapter shows the challenges and the opportunities that lie by merging data from different pubic sources. The researcher collected and merged data from the following datasets: NYSED school report card, NYSED Fiscal Profile Reporting System, Civil Rights Data Collection, and Census 2010 School District Demographics System. The challenges include data validation, data cleaning, flatting data for easy reporting, and merging datasets based on text fields….(More)”.
All hands on deck to tweet #sandy: Networked governance of citizen coproduction in turbulent times
Akemi TakeokaChatfield and Christopher G.Reddick at Government Information Quarterly: “While citizens previously took a back seat to government, citizen coproduction of disaster risk communications through social media networks is emerging. We draw on information-processing, citizen coproduction, and networked governance theories to examine the governance and impact of networked interactions in the following question: When government’s capacity in information-processing and communication is overwhelmed by unfolding disasters, how do government and citizens coproduce disaster risk communications? During the Hurricane Sandy, we collected 132,922 #sandy tweets to analyze the structure and networked interactions using social network analysis. We then conducted case study of the government’s social media policy governance networks. Networked citizen interactions – their agility in voluntarily retweeting the government’s #sandy tweets and tweeting their own messages – magnified the agility and reach of the government’s #sandy disaster communications. Our case study indicates the criticality of social media policy governance networks in empowering the lead agencies and citizens to coproduce disaster communication public services….(More)”.
Using big data to predict suicide risk among Canadian youth
SAS Insights “Suicide is the second leading cause of death among youth in Canada, according to Statistics Canada, accounting for one-fifth of deaths of people under the age of 25 in 2011. The Canadian Mental Health Association states that among 15 – 24 year olds the number is an even more frightening at 24 percent – the third highest in the industrialized world. Yet despite these disturbing statistics, the signals that an individual plans on self-injury or suicide are hard to isolate….
Team members …collected 2.3 million tweets and used text mining software to identify 1.1 million of them as likely to have been authored by 13 to 17 year olds in Canada by building a machine learning model to predict age, based on the open source PAN author profiling dataset. Their analysis made use of natural language processing, predictive modelling, text mining, and data visualization….
However, there were challenges. Ages are not revealed on Twitter, so the team had to figure out how to tease out the data for 13 – 17 year olds in Canada. “We had a text data set, and we created a model to identify if people were in that age group based on how they talked in their tweets,” Soehl said. “From there, we picked some specific buzzwords and created topics around them, and our software mined those tweets to collect the people.”
Another issue was the restrictions Twitter places on pulling data, though Soehl believes that once this analysis becomes an established solution, Twitter may work with researchers to expedite the process. “Now that we’ve shown it’s possible, there are a lot of places we can go with it,” said Soehl. “Once you know your path and figure out what’s going to be valuable, things come together quickly.”
The team looked at the percentage of people in the group who were talking about depression or suicide, and what they were talking about. Horne said that when SAS’ work went in front of a Canadian audience working in health care, they said that it definitely filled a gap in their data — and that was the validation he’d been looking for. The team also won $10,000 for creating the best answer to this question (the team donated the award money to two mental health charities: Mind Your Mind and Rise Asset Development)
What’s next?
That doesn’t mean the work is done, said Jos Polfliet. “We’re just scraping the surface of what can be done with the information.” Another way to use the results is to look at patterns and trends….(More)”