Putting Government Data to Work

Curated on Posted on by Stefaan Verhulst

U.S. Department of Commerce Press Release: “The Governance Lab (GovLab) at New York University today released “Realizing The Potential of Open Government Data: A Roundtable with the U.S. Department of Commerce,” a report on findings and recommendations for ways the U.S. Commerce Department can improve its data management, dissemination and use. The report summarizes a June 2014 Open Data Roundtable, co-hosted by The GovLab and the White House Office of Science and Technology Policy with the Commerce Department, which brought together Commerce data providers and 25 representatives from the private sector and nonprofit organizations for an action-oriented dialogue on data issues and potential solutions. The GovLab is convening a series of other Open Data Roundtables in its mission to help make government more effective and connected to the public through technology.

“We were honored to work with the White House and the Department of Commerce to convene this event,” said Joel Gurin, senior advisor at The GovLab and project director of the Open Data 500 and the Roundtable Series. “The Department’s commitment to engaging with its data customers opens up great opportunities for public-private collaboration.”
Under Secretary of Commerce for Economic Affairs Mark Doms said, “At the Commerce Department, we are only at the beginning of our open data effort. We share the goals and objectives embodied by the call of the Open Data 500: to deliver data that is valuable to industry and that provides greater economic opportunity for millions of Americans.” …”

CC Science → Sensored City

Curated on Posted on by Stefaan Verhulst
Citizen Sourced Data: “We routinely submit data to others and then worry about liberating the data from the silos. What if we could invert the model? What if collected data were first put into a completely free and open repository accessible to everyone so anyone could build applications with the data? What if the data itself were free so everyone could have an equal opportunity to create and even monetize their creativity? Funded by a generous grant from Robert Wood Johnson Foundation, we intend to do just that.
Partnering with Manylabs, a San Francisco-based sensor tools and education nonprofit, and Urban Matter, Inc., a Brooklyn-based design studio, and in collaboration with the City of Louisville, Kentucky, and Propeller Health, maker of a mobile platform for respiratory health management, we will design, develop and install a network of sensor-based hardware that will collect environmental information at high temporal and spatial scales and store it in a software platform designed explicitly for storing and retrieving such data.
Further, we will design, create and install a public data art installation that will be powered by the data we collect thereby communicating back to the public what has been collected about them.”

The Problem-solving Capacity of the Modern State

Curated on Posted on by Stefaan Verhulst

New book edited by Martin Lodge and Kai Wegrich: “The early 21st century has presented considerable challenges to the problem-solving capacity of the contemporary state in the industrialised world. Among the many uncertainties, anxieties and tensions, it is, however, the cumulative challenge of fiscal austerity, demographic developments, and climate change that presents the key test for contemporary states. Debates abound regarding the state’s ability to address these and other problems given increasingly dispersed forms of governing and institutional vulnerabilities created by politico-administrative and economic decision-making structures. This volume advances these debates, first, by moving towards a cross-sectoral perspective that takes into account the cumulative nature of the contemporary challenge to governance focusing on the key governance areas of infrastructure, sustainability, social welfare, and social integration; second, by considering innovations that have sought to add problem-solving capacity; and third, by exploring the kind of administrative capacities (delivery, regulatory, coordination, and analytical) required to encourage and sustain innovative problem-solving. This edition introduces a framework for understanding the four administrative capacities that are central to any attempt at problem-solving and how they enable the policy instruments of the state to have their intended effect. It also features chapters that focus on the way in which these capacities have become stretched and how they have been adjusted, given the changing conditions; the way in which different states have addressed particular governance challenges, with particular attention paid to innovation at the level of policy instrument and the required administrative capacities; and, finally, types of governance capacities that lie outside the boundaries of the state.”

A taxonomy of crowdsourcing based on task complexity

Curated on Posted on by Stefaan Verhulst

Paper by Robbie T. Nakatsu et al at the Journal of Information Science: “Although a great many different crowdsourcing approaches are available to those seeking to accomplish individual or organizational tasks, little research attention has yet been given to characterizing how those approaches might be based on task characteristics. To that end, we conducted an extensive review of the crowdsourcing landscape, including a look at what types of taxonomies are currently available. Our review found that no taxonomy explored the multidimensional nature of task complexity. This paper develops a taxonomy whose specific intent is the classification of approaches in terms of the types of tasks for which they are best suited. To develop this task-based taxonomy, we followed an iterative approach that considered over 100 well-known examples of crowdsourcing. The taxonomy considers three dimensions of task complexity: (a) task structure – is the task well-defined, or does it require a more open-ended solution; (2) task interdependence – can the task be solved by an individual, or does it require a community of problem solvers; and (3) task commitment – what level of commitment is expected from crowd members? Based on this taxonomy, we identify seven categories of crowdsourcing and discuss prototypical examples of each approach. Furnished with such an understanding, one should be able to determine which crowdsourcing approach is most suitable for a particular task situation.”

The Web Observatory: A Middle Layer for Broad Data

Curated on Posted on by Stefaan Verhulst

New paper by Tiropanis Thanassis, Hall Wendy, Hendler James, and de Larrinaga Christian in Big Data: “The Web Observatory project1 is a global effort that is being led by the Web Science Trust,2 its network of WSTnet laboratories, and the wider Web Science community. The goal of this project is to create a global distributed infrastructure that will foster communities exchanging and using each other’s web-related datasets as well as sharing analytic applications for research and business web applications.3 It will provide the means to observe the digital planet, explore its processes, and understand their impact on different sectors of human activity.
The project is creating a network of separate web observatories, collections of datasets and tools for analyzing data about the Web and its use, each with their own use community. This allows researchers across the world to develop and share data, analytic approaches, publications related to their datasets, and tools (Fig. 1). The network of web observatories aims to bridge the gap that currently exists between big data analytics and the rapidly growing web of “broad data,”4 making it difficult for a large number of people to engage with them….”

New Data for a New Energy Future

Curated on Posted on by Stefaan Verhulst

(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.

Codifying Collegiality: Recent Developments in Data Sharing Policy in the Life Sciences

Curated on Posted on by Stefaan Verhulst

New paper by Genevieve Pham-Kanter et al in PLoS ONE: “Over the last decade, there have been significant changes in data sharing policies and in the data sharing environment faced by life science researchers. Using data from a 2013 survey of over 1600 life science researchers, we analyze the effects of sharing policies of funding agencies and journals. We also examine the effects of new sharing infrastructure and tools (i.e., third party repositories and online supplements). We find that recently enacted data sharing policies and new sharing infrastructure and tools have had a sizable effect on encouraging data sharing. In particular, third party repositories and online supplements as well as data sharing requirements of funding agencies, particularly the NIH and the National Human Genome Research Institute, were perceived by scientists to have had a large effect on facilitating data sharing. In addition, we found a high degree of compliance with these new policies, although noncompliance resulted in few formal or informal sanctions. Despite the overall effectiveness of data sharing policies, some significant gaps remain: about one third of grant reviewers placed no weight on data sharing plans in their reviews, and a similar percentage ignored the requirements of material transfer agreements. These patterns suggest that although most of these new policies have been effective, there is still room for policy improvement.”

The Glass Cage: Automation and Us

Curated on Posted on by Stefaan Verhulst

New Book by Nicholas Carr: “What kind of world are we building for ourselves? That’s the question bestselling author Nicholas Carr tackles in this urgent, absorbing book on the human consequences of automation. At once a celebration of technology and a warning about its misuse, The Glass Cage will change the way you think about the tools you use every day.
GlassCage250Digging behind the headlines about factory robots and self-driving cars, wearable computers and digitized medicine, Carr explores the hidden costs of granting software dominion over our work and our leisure. Even as they bring ease to our lives, computer programs are stealing something essential from us.
Drawing on psychological and neurological studies that underscore how tightly people’s happiness and satisfaction are tied to performing meaningful work in the real world, Carr reveals something we already suspect: shifting our attention to computer screens can leave us disengaged and discontented.
From nineteenth-century textile mills to the cockpits of modern jets, from the frozen hunting grounds of Inuit tribes to the sterile landscapes of GPS maps, The Glass Cage explores the impact of automation from a deeply human perspective, examining the personal as well as the economic consequences of our growing dependence on computers.
With a characteristic blend of history and philosophy, poetry and science, Carr takes us on a journey from the work and early theory of Adam Smith and Alfred North Whitehead to the latest research into human attention, memory, and happiness, culminating in a moving meditation on how we can use technology to expand the human experience.
Nicholas Carr’s The Glass Cage: Automation and Us. Coming on September 29.”

Smarter video games, thanks to crowdsourcing

Curated on Posted on by Stefaan Verhulst

AAAS –Science Magazine: “Despite the stereotypes, any serious gamer knows it’s way more fun to play with real people than against the computer. Video game artificial intelligence, or AI, just isn’t very good; it’s slow, predictable, and generally stupid. All that stands to change, however, if GiantOtter, a Massachusetts-based startup, has its way, New Scientist reports. By crowdsourcing the AI’s learning, GiantOtter hopes to build systems where the computer can learn based on player’s previous behaviors, decision-making, and even voice communication—yes, the computer is listening in as you strategize. The hope is that by abandoning the traditional scripted programming models, AIs can be taught to mimic human behaviors, leading to more dynamic and challenging scenarios even in incredibly complex games like Blizzard Entertainment Inc.’s professionally played StarCraft II.“