New Pew report By Lee Rainie, Janna Anderson and Jennifer Connolly: “The age of gigabit connectivity is dawning and will advance in coming years. The only question is how quickly it might become widespread. A gigabit connection can deliver 1,000 megabits of information per second (Mbps). Globally, cloud service provider Akamai reports that the average global connection speed in quarter one of 2014 was 3.9 Mbps, with South Korea reporting the highest average connection speed, 23.6 Mbps and the US at 10.5 Mbps.1
In some respects, gigabit connectivity is not a new development. The US scientific community has been using hyper-fast networks for several years, changing the pace of data sharing and enabling levels of collaboration in scientific disciplines that were unimaginable a generation ago.
Gigabit speeds for the “average Internet user” are just arriving in select areas of the world. In the US, Google ran a competition in 2010 for communities to pitch themselves for the construction of the first Google Fiber network running at 1 gigabit per second—Internet speeds 50-100 times faster than the majority of Americans now enjoy. Kansas City was chosen among 1,100 entrants and residents are now signing up for the service. The firm has announced plans to build a gigabit network in Austin, Texas, and perhaps 34 other communities. In response, AT&T has said it expects to begin building gigabit networks in up to 100 US cities.2 The cities of Chattanooga, Tennessee; Lafayette, Louisiana; and Bristol, Virginia, have super speedy networks, and pockets of gigabit connectivity are in use in parts of Las Vegas, Omaha, Santa Monica, and several Vermont communities.3 There are also other regional efforts: Falcon Broadband in Colorado Springs, Colorado; Brooklyn Fiber in New York; Monkey Brains in San Francisco; MINET Fiber in Oregon; Wicked Fiber in Lawrence, Kansas; and Sonic.net in California, among others.4 NewWave expects to launch gigabit connections in 2015 in Poplar Bluff, Missouri Monroe, Rayville, Delhi; and Tallulah, Louisiana, and Suddenlink Communications has launched Operation GigaSpeed.5
In 2014, Google and Verizon were among the innovators announcing that they are testing the capabilities for currently installed fiber networks to carry data even more efficiently—at 10 gigabits per second—to businesses that handle large amounts of Internet traffic.
To explore the possibilities of the next leap in connectivity we asked thousands of experts and Internet builders to share their thoughts about likely new Internet activities and applications that might emerge in the gigabit age. We call this a canvassing because it is not a representative, randomized survey. Its findings emerge from an “opt in” invitation to experts, many of whom play active roles in Internet evolution as technology builders, researchers, managers, policymakers, marketers, and analysts. We also invited comments from those who have made insightful predictions to our previous queries about the future of the Internet. (For more details, please see the section “About this Canvassing of Experts.”)…”
Beyond the “Good Governance” mantra
Alan Hudson at Global Integrity: “…The invocation of “Good Governance” is something that happens a lot, including in ongoing discussions of whether and how governance – or governance-related issues – should be addressed in the post-2015 development framework. Rather than simply squirm uncomfortably every time someone invokes the “Good Governance” mantra, I thought it would be more constructive to explain – again (see here and here) – why I find the phrase problematic, and to outline why I think that “Open Governance” might be a more helpful formulation.
My primary discomfort with the “Good Governance” mantra is that it obscures and wishes away much of the complexity about governance. Few would disagree with the idea that: i) governance arrangements have distributional consequences; ii) governance arrangements play a role in shaping progress towards development outcomes; and iii) effective governance arrangements – forms of governance – will vary by context. But the “Good Governance” mantra, it seems to me, unhelpfully side-steps these key issues, avoiding, or at least postponing, a number of key questions: good from whose perspective, good for what, good for where?
Moreover, the notion of “Good Governance” risks giving the impression that “we” – which tends to mean people outside of the societies that they’re talking about – know what governance is good, and further still that “we” know what needs to happen to make governance good. On both counts, the evidence is that that is seldom the case.
These are not new points. A number of commentators including Merilee Grindle, Matt Andrews, Mushtaq Khan and, most recently, Brian Levy, have pointed out the problems with a “Good Governance” agenda for many years. But, despite their best efforts, in policy discussions, including around post-2015, their warnings are too rarely heeded.
However, rather than drop the language of governance entirely, I do think that there is value in a more flexible, perhaps less normative – or differently normative, more focused on function than form – notion of governance. One that centers on transparency, participation and accountability. One that is about promoting the ability of communities in particular places to address the governance challenges relating to the specific priorities that they face, and which puts people in those places – rather than outsiders – center-stage in improving governance in ways that work for them. Indeed, the targets in the Open Working Group’s Goal 16 includes important elements of this.
The “Good Governance” mantra may be hard to shake, but I remain hopeful that open governance – a more flexible framing which is about empowering people and governments with information so that they can work together to tackle problems they prioritize, in their particular places – may yet win the day. The sooner that happens, the better.”
New Data for a New Energy Future
(This post originally appeared on the blog of the U.S. Chamber of Commerce Foundation.)
Two growing concerns—climate change and U.S. energy self-sufficiency—have accelerated the search for affordable, sustainable approaches to energy production and use. In this area, as in many others, data-driven innovation is a key to progress. Data scientists are working to help improve energy efficiency and make new forms of energy more economically viable, and are building new, profitable businesses in the process.
In the same way that government data has been used by other kinds of new businesses, the Department of Energy is releasing data that can help energy innovators. At a recent “Energy Datapalooza” held by the department, John Podesta, counselor to the President, summed up the rationale: “Just as climate data will be central to helping communities prepare for climate change, energy data can help us reduce the harmful emissions that are driving climate change.” With electric power accounting for one-third of greenhouse gas emissions in the United States, the opportunities for improvement are great.
The GovLab has been studying the business applications of public government data, or “open data,” for the past year. The resulting study, the Open Data 500, now provides structured, searchable information on more than 500 companies that use open government data as a key business driver. A review of those results shows four major areas where open data is creating new business opportunities in energy and is likely to build many more in the near future.
Commercial building efficiency
Commercial buildings are major energy consumers, and energy costs are a significant business expense. Despite programs like LEED Certification, many commercial buildings waste large amounts of energy. Now a company called FirstFuel, based in Boston, is using open data to drive energy efficiency in these buildings. At the Energy Datapalooza, Swap Shah, the company’s CEO, described how analyzing energy data together with geospatial, weather, and other open data can give a very accurate view of a building’s energy consumption and ways to reduce it. (Sometimes the solution is startlingly simple: According to Shah, the largest source of waste is running heating and cooling systems at the same time.) Other companies are taking on the same kind of task – like Lucid, which provides an operating system that can track a building’s energy use in an integrated way.
Home energy use
A number of companies are finding data-driven solutions for homeowners who want to save money by reducing their energy usage. A key to success is putting together measurements of energy use in the home with public data on energy efficiency solutions. PlotWatt, for example, promises to help consumers “save money with real-time energy tracking” through the data it provides. One of the best-known companies in this area, Opower, uses a psychological strategy: it simultaneously gives people access to their own energy data and lets them compare their energy use to their neighbors’ as an incentive to save. Opower partners with utilities to provide this information, and the Virginia-based company has been successful enough to open offices in San Francisco, London, and Singapore. Soon more and more people will have access to data on their home energy use: Green Button, a government-promoted program implemented by utilities, now gives about 100 million Americans data about their energy consumption.
Solar power and renewable energy
As solar power becomes more efficient and affordable, a number of companies are emerging to support this energy technology. Clean Power Finance, for example, uses its database to connect solar entrepreneurs with sources of capital. In a different way, a company called Solar Census is analyzing publicly available data to find exactly where solar power can be produced most efficiently. The kind of analysis that used to require an on-site survey over several days can now be done in less than a minute with their algorithms.
Other kinds of geospatial and weather data can support other forms of renewable energy. The data will make it easier to find good sites for wind power stations, water sources for small-scale hydroelectric projects, and the best opportunities to tap geothermal energy.
Supporting new energy-efficient vehicles
The Tesla and other electric vehicles are becoming commercially viable, and we will soon see even more efficient vehicles on the road. Toyota has announced that its first fuel-cell cars, which run on hydrogen, will be commercially available by mid-2015, and other auto manufacturers have announced plans to develop fuel-cell vehicles as well. But these vehicles can’t operate without a network to supply power, be it electricity for a Tesla battery or hydrogen for a fuel cell.
It’s a chicken-and-egg problem: People won’t buy large numbers of electric or fuel-cell cars unless they know they can power them, and power stations will be scarce until there are enough vehicles to support their business. Now some new companies are facilitating this transition by giving drivers data-driven tools to find and use the power sources they need. Recargo, for example, provides tools to help electric car owners find charging stations and operate their vehicles.
The development of new energy sources will involve solving social, political, economic, and technological issues. Data science can help develop solutions and bring us more quickly to a new kind of energy future.
Joel Gurin, senior advisor at the GovLab and project director, Open Data 500. He also currently serves as a fellow of the U.S. Chamber of Commerce Foundation.
Crowdsourcing and collaborative translation: mass phenomena or silent threat to translation studies?
Article by Alberto Fernandez Costales: ” This article explores the emerging phenomenon of amateur translation and tries to shed some light on the implications this process may have both for Translation Studies as an academic discipline and for the translation industry itself. The paper comments on the main activities included within the concept of fan translation and approaches the terminological issues concerning the categorization of “non-professional translation”. In addition, the article focuses on the existing differences between collaborative translation and crowdsourcing, and posits new hypotheses regarding the development of these initiatives and the possible erosion of the boundaries which separate them. The question of who-does-what in the industry of translation is a major issue to be addressed in order to gain a clear view of the global state of translation today.”
Real-time information about public transport's position using crowdsourcing
Paper by Nikos Souliotis et al, published at PCI ’14 Proceedings of the 18th Panhellenic Conference on Informatics: “Nowadays there is a multitude of mobile and tablet applications being developed in order to facilitate or disrupt every day tasks. Many of these are location based. A technique to serve in providing information and content is crowdsourcing. This technique is based on the public contributing information or resources giving them the opportunity to become both service providers and recipients at the same time.
Taking into account the above and after observing passengers using the public transport system, we came to the conclusion that it would be useful to be able to determine which transport medium (i.e which bus line out of a number running concurrently) is nearer at any given moment. This information allows for better decision making and choice of transportation.
For this we propose the development of an application to show the position of a selected transport vehicle. The position will be calculated based on geo-tracking provided by passengers boarded on a vehicle. This will allow for real time information to the application users in order to be able to determine their optimal route.”
Taking into account the above and after observing passengers using the public transport system, we came to the conclusion that it would be useful to be able to determine which transport medium (i.e which bus line out of a number running concurrently) is nearer at any given moment. This information allows for better decision making and choice of transportation.
For this we propose the development of an application to show the position of a selected transport vehicle. The position will be calculated based on geo-tracking provided by passengers boarded on a vehicle. This will allow for real time information to the application users in order to be able to determine their optimal route.”
MIT launches Laboratory for Social Machines with major Twitter investment
MIT Press Release: “The MIT Media Lab today announced the creation of the Laboratory for Social Machines (LSM), funded by a five-year, $10 million commitment from Twitter. As part of the new program, Twitter will also provide full access to its real-time, public stream of tweets, as well as the archive of every tweet dating back to the first.
The new initiative, based at the Media Lab, will focus on the development of new technologies to make sense of semantic and social patterns across the broad span of public mass media, social media, data streams, and digital content. Pattern discovery and data visualization will be explored to reveal interaction patterns and shared interests in relevant social systems, while collaborative tools and mobile apps will be developed to enable new forms of public communication and social organization.
A main goal for the LSM will be to create new platforms for both individuals and institutions to identify, discuss, and act on pressing societal problems. Though funded by Twitter, the LSM will have complete operational and academic independence. In keeping with the academic mission of LSM, students and staff will work across many social media and mass media platforms — including, but not limited to, Twitter.
“The Laboratory for Social Machines will experiment in areas of public communication and social organization where humans and machines collaborate on problems that can’t be solved manually or through automation alone,” says Deb Roy, an associate professor at the Media Lab who will lead the LSM, and who also serves as Twitter’s chief media scientist. “Social feedback loops based on analysis of public media and data can be an effective catalyst for increasing accountability and transparency — creating mutual visibility among institutions and individuals.”
“With this investment, Twitter is seizing the opportunity to go deeper into research to understand the role Twitter and other platforms play in the way people communicate, the effect that rapid and fluid communication can have and apply those findings to complex societal issues,” says Dick Costolo, CEO of Twitter…”
Uncovering State And Local Gov’s 15 Hidden Successes
at GovLoop: “From garbage trucks to vacant lots, cities and states are often tasked with the thankless job of cleaning up a community’s mess. These are tasks that are often overlooked, but are critical to keeping a community vibrant.
But even in these sometimes thankless jobs, there are real innovations happening. Take Miami-Dade County where they are using hybrid garbage trucks to save the community millions of dollars in fuel every year and make the environment a little cleaner. Or head over to Milwaukee where the city is turning vacant and abandoned lots into urban farms.
There are just two of the fifteen examples, GovLoop uncovered in our new guide, From the State House to the County Clerk – 15 Challenges and Success Stories.
We have broken the challenges into four categories:
- Internal Best Practices
- Tech Challenges
- Health and Safety
- Community Engagement and Outreach
Here’s another example, the open data movement has the potential to effect governing and civic engagement at the state and local government levels. But today very few agencies are actively providing open data. In fact, only 46 U.S. cities and counties have open data sites. One of the cities on the leading edge of the open data movement is Fort Worth, Texas.
“When I came into office, that was one of my campaign promises, that we would get Fort Worth into this century on technology and that we would take a hard look at open records requests and requests for data,” Mayor Betsy Price said in an interview with the Star-Telegram. “It goes a lot further to being transparent and letting people participate in their government and see what we are doing. It is the people’s data, and it should be easy to access.”
The website, data.fortworthtexas.gov, offers data and documents such as certificates of occupancy, development permits and residential permits for download in several formats, including Excel and PDF. Not all datasets are available yet — the city said its priority was to put the most-requested data on the portal first. Next up? Crime data, code violations, restaurant ratings and capital projects progress.
City officials’ ultimate goal is to create and adopt a full open data policy. As part of the launch, they are also looking for local software developers and designers who want to help guide the open data initiative. Those interested in participating can sign up online to receive more information….”
UN Data Revolution Group
Website: “UN Secretary-General Ban Ki-moon has asked an Independent Expert Advisory Group to make concrete recommendations on bringing about a data revolution in sustainable development. Here you can find out more about the work of the group, and feed into the process by adding your comments to this site or sending a private consultation submission
Consultation Areas
Why we’re failing to get the most out of open data
Victoria Lemieux at the WEF Blog: “An unprecedented number of individuals and organizations are finding ways to explore, interpret and use Open Data. Public agencies are hosting Open Data events such as meetups, hackathons and data dives. The potential of these initiatives is great, including support for economic development (McKinsey, 2013), anti-corruption (European Public Sector Information Platform, 2014) and accountability (Open Government Partnership, 2012). But is Open Data’s full potential being realized?
A news item from Computer Weekly casts doubt. A recent report notes that, in the United Kingdom, poor data quality is hindering the government’s Open Data program. The report goes on to explain that – in an effort to make the public sector more transparent and accountable – UK public bodies have been publishing spending records every month since November 2010. The authors of the report, who conducted an analysis of 50 spending-related data releases by the Cabinet Office since May 2010, found that that the data was of such poor quality that using it would require advanced computer skills.
Far from being a one-off problem, research suggests that this issue is ubiquitous and endemic. Some estimates indicate that as much as 80 percent of the time and cost of an analytics project is attributable to the need to clean up “dirty data” (Dasu and Johnson, 2003).
In addition to data quality issues, data provenance can be difficult to determine. Knowing where data originates and by what means it has been disclosed is key to being able to trust data. If end users do not trust data, they are unlikely to believe they can rely upon the information for accountability purposes. Establishing data provenance does not “spring full blown from the head of Zeus.” It entails a good deal of effort undertaking such activities as enriching data with metadata – data about data – such as the date of creation, the creator of the data, who has had access to the data over time and ensuring that both data and metadata remain unalterable.
Similarly, if people think that data could be tampered with, they are unlikely to place trust in it; full comprehension of data relies on the ability to trace its origins….”
Open Source Governance—A More Ambitious Cousin of Collaborative Governance
New paper by Ani Matei & Sergiu Ioan Irimia in the International Journal of Public Administration: “Open source represents a model generally known for its success in software production. The objective of this article is to establish a new strategic approach of using open source development principles for managing collaborative arrangements between citizens and public administration. The identity of open source governance is developed by highlighting how it is different from its main “competitor”—collaborative governance, and from other two popular concepts—open government and e-democracy. The other sections are designed to answer to public managers regarding why and what to adopt from this governance model for public sector services.”