From Information to Smart Society


New book edited by Mola, Lapo, Pennarola, Ferdinando,  and Za, Stefano: “This book presents a collection of research papers focusing on issues emerging from the interaction of information technologies and organizational systems. In particular, the individual contributions examine digital platforms and artifacts currently adopted in both the business world and society at large (people, communities, firms, governments, etc.). The topics covered include: virtual organizations, virtual communities, smart societies, smart cities, ecological sustainability, e-healthcare, e-government, and interactive policy-making (IPM)…”

Quantifying the Livable City


Brian Libby at City Lab: “By the time Constantine Kontokosta got involved with New York City’s Hudson Yards development, it was already on track to be historically big and ambitious.
 
Over the course of the next decade, developers from New York’s Related Companies and Canada-based Oxford Properties Group are building the largest real-estate development in United States history: a 28-acre neighborhood on Manhattan’s far West Side over a Long Island Rail Road yard, with some 17 million square feet of new commercial, residential, and retail space.
Hudson Yards is also being planned as an innovative model of efficiency. Its waste management systems, for example, will utilize a vast vacuum-tube system to collect garbage from each building into a central terminal, meaning no loud garbage trucks traversing the streets by night. Onsite power generation will prevent blackouts like those during Hurricane Sandy, and buildings will be connected through a micro-grid that allows them to share power with each other.
Yet it was Kontokosta, the deputy director of academics at New York University’s Center for Urban Science and Progress (CUSP), who conceived of Hudson Yards as what is now being called the nation’s first “quantified community.” This entails an unprecedentedly wide array of data being collected—not just on energy and water consumption, but real-time greenhouse gas emissions and airborne pollutants, measured with tools like hyper-spectral imagery.

New York has led the way in recent years with its urban data collection. In 2009, Mayor Michael Bloomberg signed Local Law 84, which requires privately owned buildings over 50,000 square feet in size to provide annual benchmark reports on their energy and water use. Unlike a LEED rating or similar, which declares a building green when it opens, the city benchmarking is a continuous assessment of its operations…”

A Guide to Making Innovation Offices Work


New report by Rachel Burstein and Alissa Black for the IBM Center  for The Business of Government: “In this report, Burstein and Black examine the recent trend toward the creation of innovation offices across the nation at all levels of government to understand the structural models now being used to stimulate innovation—both internally within an agency, and externally for the agency’s partners and communities. Based on research into a broad range of federal, state, and local innovation offices, the authors identify six different models for how an innovation office can operate:
  • Laboratory
  • Facilitator
  • Advisor
  • Technology build-out
  • Liaison
  • Sponsored offices

Burstein and Black then present examples of each of these structural models.
In addition to describing models for innovation offices, the authors identify issues that government leaders should consider in their decision to create a new innovation office, along with critical success factors for building and sustaining effective innovation offices. The authors emphasize that government leaders should not make the decision to set up an innovation office lightly, and should not create an innovation office for symbolic reasons. Rather, moving forward with setting up a center of gravity for innovation should follow a careful assessment of the mission of the new office, financial resources available, and support from key partners.
This report continues the IBM Center’s long interest in the subject of innovation. The creation of dedicated offices adds a new tool to government in stimulating innovation. Previous IBM Center reports have examined other tools in government’s innovation portfolio, for example:

We hope that government leaders interested in innovation at the federal, state, and local levels will find the models and success factors described in this report helpful as they consider future innovation initiatives or expand upon current innovation activities.”

Open Access Button


About the Open Access Button: “The key functions of the Open Access Button are finding free research, making more research available and also advocacy. Here’s how each works.

Finding free papers

Research published in journals that require you to pay to read can sometimes be accessed free in other places. These other copies are often very similar to the published version, but may lack nice formatting or be a version prior to peer review. These copies can be found in research repositories, on authors websites and many other places because they’re archived. To find these versions we identify the paper a user needs and effectively search on Google Scholar and CORE to find these copies and link them to the users.

Making more research, or information about papers available

If a free copy isn’t available we aim to make one. This is not a simple task and so we have to use a few different innovative strategies. First, we email the author of the research and ask them to make a copy of the research available – once they do this we’ll send it to everyone who needs it. Second, we create pages for each paper needed which, if shared, viewed, and linked to an author could see and provide their paper on. Third, we’re building ways to find associated information about a paper such as the facts contained, comments from people who’ve read it, related information and lay summaries.

Advocacy

Unfortunately the Open Access Button can only do so much, and isn’t a perfect or long term solution to this problem. The data and stories collected by the Button are used to help make the changes required to really solve this issue. We also support campaigns and grassroots advocates with this at openaccessbutton.org/action..”

New Frontiers in Open Innovation


New book edited by Henry Chesbrough, Wim Vanhaverbeke, and Joel West: “Companies have to innovate to stay competitive, and they have to collaborate with other organizations to innovate effectively. Although the benefits of “open innovation” have been described in detail before, underlying mechanisms how companies can be successful open innovators have not be understood well. A growing community of innovation management researchers started to develop different frameworks to understand open innovation in a more systematic way.
This book provides a thorough examination of research conducted to date on open innovation, as well as a comprehensive overview of what will be the most important, most promising and most relevant research topics in this area during the next decade. Open Innovation: Researching a new paradigm (OUP 2006) was the first initiative to bring open innovation closer to the academic community. Open innovation research has since then been growing in an exponential way and research has evolved in different and unexpected directions. As the research field is growing, it becomes increasingly difficult for young (and even experienced scholars) to keep an overview of the most important trends in open innovation research, of the research topics that are most promising for the coming years, and of the most interesting management challenges that are emerging in organizations practicing open innovation.
In the spirit of an open approach to innovation, the editors have engaged other scholars and practitioners to contribute some of their interesting insights in this book.”

The government wants to study ‘social pollution’ on Twitter


in the Washington Post: “If you take to Twitter to express your views on a hot-button issue, does the government have an interest in deciding whether you are spreading “misinformation’’? If you tweet your support for a candidate in the November elections, should taxpayer money be used to monitor your speech and evaluate your “partisanship’’?

My guess is that most Americans would answer those questions with a resounding no. But the federal government seems to disagree. The National Science Foundation , a federal agency whose mission is to “promote the progress of science; to advance the national health, prosperity and welfare; and to secure the national defense,” is funding a project to collect and analyze your Twitter data.
The project is being developed by researchers at Indiana University, and its purported aim is to detect what they deem “social pollution” and to study what they call “social epidemics,” including how memes — ideas that spread throughout pop culture — propagate. What types of social pollution are they targeting? “Political smears,” so-called “astroturfing” and other forms of “misinformation.”
Named “Truthy,” after a term coined by TV host Stephen Colbert, the project claims to use a “sophisticated combination of text and data mining, social network analysis, and complex network models” to distinguish between memes that arise in an “organic manner” and those that are manipulated into being.

But there’s much more to the story. Focusing in particular on political speech, Truthy keeps track of which Twitter accounts are using hashtags such as #teaparty and #dems. It estimates users’ “partisanship.” It invites feedback on whether specific Twitter users, such as the Drudge Report, are “truthy” or “spamming.” And it evaluates whether accounts are expressing “positive” or “negative” sentiments toward other users or memes…”

Open data for open lands


at Radar: “President Obama’s well-publicized national open data policy (pdf) makes it clear that government data is a valuable public resource for which the government should be making efforts to maximize access and use. This policy was based on lessons from previous government open data success stories, such as weather data and GPS, which form the basis for countless commercial services that we take for granted today and that deliver enormous value to society. (You can see an impressive list of companies reliant on open government data via GovLab’s Open Data 500 project.)
Based on this open data policy, I’ve been encouraging entrepreneurs to invest their time and ingenuity to explore entrepreneurial opportunities based on government data. I’ve even invested (through O’Reilly AlphaTech Ventures) in one such start-up, Hipcamp, which provides user-friendly interfaces to making reservations at national and state parks.
A better system is sorely needed. The current reservation system, managed by the Active Network / Reserve America is clunky and almost unusable. Hipcamp changes all that, making it a breeze to reserve camping spots.
But now this is under threat. Active Network / Reserve America’s 10-year contract is up for renewal, and the Department of the Interior had promised an RFP for a new contract that conformed with the open data mandate. Ideally, that RFP would require an API so that independent companies could provide alternate interfaces, just like travel sites provide booking interfaces for air travel, hotels, and more. That explosion of consumer convenience should be happening for customers of our nation’s parks as well, don’t you think?…”

Tackling Wicked Government Problems


Book by Jackson Nickerson and Ronald Sanders: “How can government leaders build, sustain, and leverage the cross-organizational collaborative networks needed to tackle the complex interagency and intergovernmental challenges they increasingly face? Tackling Wicked Government Problems: A Practical Guide for Developing Enterprise Leaders draws on the experiences of high-level government leaders to describe and comprehensively articulate the complicated, ill-structured difficulties they face—often referred to as “wicked problems”—in leading across organizational boundaries and offers the best strategies for addressing them.
Tackling Wicked Government Problems explores how enterprise leaders use networks of trusted, collaborative relationships to respond and lead solutions to problems that span agencies. It also offers several approaches for translating social network theory into practical approaches for these leaders to build and leverage boundary-spanning collaborative networks and achieve real mission results.
Finally, past and present government executives offer strategies for systematically developing enterprise leaders. Taken together, these essays provide a way forward for a new cadre of officials better equipped to tackle government’s twenty-first-century wicked challenges”

Chicago uses big data to save itself from urban ills


Aviva Rutkin in the New Scientist: “THIS year in Chicago, some kids will get lead poisoning from the paint or pipes in their homes. Some restaurants will cook food in unsanitary conditions and, here and there, a street corner will be suddenly overrun with rats. These kinds of dangers are hard to avoid in a city of more than 2.5 million people. The problem is, no one knows for certain where or when they will pop up.

The Chicago city government is hoping to change that by knitting powerful predictive models into its everyday city inspections. Its latest project, currently in pilot tests, analyses factors such as home inspection records and census data, and uses the results to guess which buildings are likely to cause lead poisoning in children – a problem that affects around 500,000 children in the US each year. The idea is to identify trouble spots before kids are exposed to dangerous lead levels.

“We are able to prevent problems instead of just respond to them,” says Jay Bhatt, chief innovation officer at the Chicago Department of Public Health. “These models are just the beginning of the use of predictive analytics in public health and we are excited to be at the forefront of these efforts.”

Chicago’s projects are based on the thinking that cities already have what they need to raise their municipal IQ: piles and piles of data. In 2012, city officials built WindyGrid, a platform that collected data like historical facts about buildings and up-to-date streams such as bus locations, tweets and 911 calls. The project was designed as a proof of concept and was never released publicly but it led to another, called Plenario, that allowed the public to access the data via an online portal.

The experience of building those tools has led to more practical applications. For example, one tool matches calls to the city’s municipal hotline complaining about rats with conditions that draw rats to a particular area, such as excessive moisture from a leaking pipe, or with an increase in complaints about garbage. This allows officials to proactively deploy sanitation crews to potential hotspots. It seems to be working: last year, resident requests for rodent control dropped by 15 per cent.

Some predictions are trickier to get right. Charlie Catlett, director of the Urban Center for Computation and Data in Chicago, is investigating an old axiom among city cops: that violent crime tends to spike when there’s a sudden jump in temperature. But he’s finding it difficult to test its validity in the absence of a plausible theory for why it might be the case. “For a lot of things about cities, we don’t have that underlying theory that tells us why cities work the way they do,” says Catlett.

Still, predictive modelling is maturing, as other cities succeed in using it to tackle urban ills….Such efforts can be a boon for cities, making them more productive, efficient and safe, says Rob Kitchin of Maynooth University in Ireland, who helped launched a real-time data site for Dublin last month called the Dublin Dashboard. But he cautions that there’s a limit to how far these systems can aid us. Knowing that a particular street corner is likely to be overrun with rats tomorrow doesn’t address what caused the infestation in the first place. “You might be able to create a sticking plaster or be able to manage it more efficiently, but you’re not going to be able to solve the deep structural problems….”

Traversing Digital Babel


New book by Alon Peled: “The computer systems of government agencies are notoriously complex. New technologies are piled on older technologies, creating layers that call to mind an archaeological dig. Obsolete programming languages and closed mainframe designs offer barriers to integration with other agency systems. Worldwide, these unwieldy systems waste billions of dollars, keep citizens from receiving services, and even—as seen in interoperability failures on 9/11 and during Hurricane Katrina—cost lives. In this book, Alon Peled offers a groundbreaking approach for enabling information sharing among public sector agencies: using selective incentives to “nudge” agencies to exchange information assets. Peled proposes the establishment of a Public Sector Information Exchange (PSIE), through which agencies would trade information.
After describing public sector information sharing failures and the advantages of incentivized sharing, Peled examines the U.S. Open Data program, and the gap between its rhetoric and results. He offers examples of creative public sector information sharing in the United States, Australia, Brazil, the Netherlands, and Iceland. Peled argues that information is a contested commodity, and draws lessons from the trade histories of other contested commodities—including cadavers for anatomical dissection in nineteenth-century Britain. He explains how agencies can exchange information as a contested commodity through a PSIE program tailored to an individual country’s needs, and he describes the legal, economic, and technical foundations of such a program. Touching on issues from data ownership to freedom of information, Peled offers pragmatic advice to politicians, bureaucrats, technologists, and citizens for revitalizing critical information flows.”