Adam Greenfield at the Guardian: “We are lucky enough to live at a time in which a furious wave of innovation is breaking across the cities of the global south, spurred on both by the blistering pace of urbanisation, and by the rising popular demand for access to high-quality infrastructure that follows in its wake.
From Porto Alegre’s participatory budgeting and the literally destratifying cable cars of Caracas, to Nairobi’s “digital matatus” and the repurposed bus-ferries of Manila, the communities of the south are responsible for an ever-lengthening parade of social and technical innovations that rival anything the developed world has to offer for ingenuity and practical utility.
Nor is India an exception to this tendency. Transparent Chennai’s participatory maps and the work of the Mumbai-based practices CRIT and URBZ are better-known globally, but it is the tactics of daily survival devised by the unheralded multitude that really inspire urbanists. These techniques maximise the transactive capacity of the urban fabric, wrest the very last increment of value from the energy invested in the production of manufactured goods, and allow millions to eke a living, however precarious, from the most unpromising of circumstances. At a time of vertiginously spiralling economic and environmental stress globally, these are insights many of us in the developed north would be well advised to attend to – and by no means merely the poorest among us.
But, for whatever reason, this is not the face of urban innovation official India wants to share with the world – perhaps small-scale projects or the tactics of the poor simply aren’t dramatic enough to convey the magnitude and force of national ambition. We hear, instead, of schemes like Palava City, a nominally futuristic vision of digital technology minutely interwoven into the texture of everday urban life. Headlines were made around the planet this year when Narendra Modi’s government announced it had committed to building no fewer than 100 similarly “smart” cities….(More).”
The Next 5 Years in Open Data: 3 Key Trends to Watch
Kevin Merritt (Socrata Inc.) at GovTech: “2014 was a pivotal year in the evolution of open data for one simple and powerful reason – it went mainstream and was widely adopted on just about every continent. Open data is now table stakes. Any government that is not participating in open data is behind its peers…The move toward data-driven government will absolutely accelerate between 2015 and 2020, thanks to three key trends.
1. Comparative Analytics for Government Employees
The first noteworthy trend that will drive open data change in 2015 is that open data technology offerings will deliver first-class benefits to public-sector employees. This means government employees will be able to derive enormous insights from their own data and act on them in a deep, meaningful and analytical way. Until only recently, the primary beneficiaries of open data initiatives were external stakeholders: developers and entrepreneurs; scientists, researchers, analysts, journalists and economists; and ordinary citizens lacking technical training. The open data movement, until now, has ignored an important class of stakeholders – government employees….
2. Increased Global Expansion for Open Data
The second major trend fueling data-driven government is that 2015 will be a year of accelerating adoption of open data internationally.
Right now, for example, open data is being adopted prolifically in Europe, Latin America, Australia, New Zealand and Canada.
….
We will continue to see international governments adopt open data in 2015 for a variety of reasons. Northern European governments, for instance, are interested in efficiency and performance right now; Southern European governments, on the other hand, are currently focused on transparency, trust, and credibility. Despite the different motivations, the open data technology solutions are the same. And, looking out beyond 2015, it’s important to note that Southern European governments will also adopt open data to help increase job creation and improve delivery of services.
3. “Open Data” Will Simply Become “Government Data”
The third trend that we’ll see in the arena of open data lies a little further out on the horizon, and it will be surprising. In my opinion, the term “open data” may disappear within a decade; and in its place will simply be the term “government data.”
That’s because virtually all government data will be open data by 2020; and government data will be everywhere it needs to be – available to the public as fast as it’s created, processed and accumulated….(More).”
Innovations in Global Governance: Toward a Distributed Internet Governance Ecosystem
New paper by Stefaan G. Verhulst, Beth S. Noveck, Jillian Raines, and Antony Declercq as part of the Global Commission on Internet Governance Paper Series: “The growth and globalization of the Internet over the past 40 years has been nothing short of remarkable. Virtually all sectors, from development to healthcare to education to politics, have been transformed. Yet developments in how the Internet is governed have not kept pace with this rapid technological innovation. Figuring out how to evolve the Internet’s governance in ways that are effective and legitimate is essential to ensure its continued potential. Flexible and innovative decision-making mechanisms are needed in order to enable disparate governance actors to address and respond effectively as changes in the network occur. This paper seeks to address the need to develop an effective and legitimate Internet governance ecosystem by proposing a distributed yet coordinated framework that can accommodate a plurality of existing and emerging decision-making approaches. It draws on the lessons of open governance, adopting innovative techniques to facilitate coordination, information sharing, and evidence generation by and across increasingly diverse and global groups of Internet actors, and calls for creating practical tools to support such an effective, legitimate and evolving Internet governance ecosystem. Although no right answer or single model for how to manage all issues of relevance to the Internet is suggested within this paper, the proposed framework intends to allow for diverse experiments in distributed governance approaches to learn what works and what does not. (More)“
Big Data in Action for Development
New report by the Worldbank: “Data provide critical inputs in designing effective development policy recommendations, supporting their implementation, and evaluating results. In this new report “Big Data in Action for Development,” the World Bank Group collaborated with Second Muse, a global innovation agency, to explore big data’s transformative potential for socioeconomic development. The report develops a conceptual framework to work with big data in the development sector and presents a variety of case studies that lay out big data’s innovations, challenges, and opportunities.”
People around you control your mind: The latest evidence
in the Washington Post: “…That’s the power of peer pressure.In a recent working paper, Pedro Gardete looked at 65,525 transactions across 1,966 flights and more than 257,000 passengers. He parsed the data into thousands of mini-experiments such as this:
If someone beside you ordered a snack or a film, Gardete was able to see whether later you did, too. In this natural experiment, the person sitting directly in front of you was the control subject. Purchases were made on a touchscreen; that person wouldn’t have been able to see anything. If you bought something, and the person in front of you didn’t, peer pressure may have been the reason.
Because he had reservation data, Gardete could exclude people flying together, and he controlled for all kinds of other factors such as seat choice. This is purely the effect of a stranger’s choice — not just that, but a stranger whom you might be resenting because he is sitting next to you, and this is a plane.
By adding up thousands of these little experiments, Gardete, an assistant professor of marketing at Stanford, came up with an estimate. On average, people bought stuff 15 to 16 percent of the time. But if you saw someone next to you order something, your chances of buying something, too, jumped by 30 percent, or about four percentage points…
The beauty of this paper is that it looks at social influences in a controlled situation. (What’s more of a trap than an airplane seat?) These natural experiments are hard to come by.
Economists and social scientists have long wondered about the power of peer pressure, but it’s one of the trickiest research problems….(More)”.
The problem with the data revolution in four Venn diagrams
Morten Jerven in The Guardian: “In August, UN secretary-general Ban Ki Moon named his independent expert advisory group, 24 experts tasked with providing recommendations on how best to use data to deliver the sustainable development goals….On 6 November, those recommendations were published in a report entitled A world that counts, a cleverly crafted motivational manifesto, but by no means a practical roadmap on how to apply a “data revolution” to the future development agenda.
I have previously written about this in more detail, but essentially, the report’s key weakness is that it conflates several terms, and assumes automatic relationships between things such as “counting” and “knowing”.
Using four Venn diagrams, I’ve tried to illustrate some of the main misconceptions.
Not everything that counts can be counted
The report strongly suggests that everything that matters can be counted. We know that this is not true. If the guiding principle for the sustainable development goals is to make decisions as if everything can be counted, the end result will be very misleading.
Data is not the same as statistics
The “data revolution” hype is just one of many places where the difference between statistics and data is misunderstood. Data is not the same as numbers. Data literally mean ‘what is given’, so when we speak of data we are talking about observations – quantitative or qualitative, or even figurative – that can be used to get information.
To keep talking about data when we mean statistics may sound better, but it only leads to confusion. The report (pdf) calls on the UN to establish “a process whereby key stakeholders create a Global Consensus on Data”. What is that supposed to mean? That statement is meaningless if you exchange the word “data” with “observations”, “knowledge” or ‘evidence’. It can, however, make sense if you talk about “statistics”.
International organisations do have a natural role when it comes to developing global standards for official statistics. Reaching a global consensus on how observations and evidence constitute knowledge is futile.
More data does not mean better decisions…
There are other methods to knowing than through counting…(More)”
MIT to Pioneer Science of Innovation
Irving Wladawsky-Berger in the Wall Street Journal: ““Innovation – identified by MIT economist and Nobel laureate Robert Solow as the driver of long-term, sustainable economic growth and prosperity – has been a hallmark of the Massachusetts Institute of Technology since its inception.” Thus starts The MIT Innovation Initiative: Sustaining and Extending a Legacy of Innovation, the preliminary report of a yearlong effort to define the innovation needed to address some of the world’s most challenging problems. Released earlier this month, the report was developed by the MIT Innovation Initiative, launched a year ago by MIT President Rafael Reif…. Its recommendations are focused on four key priorities.
Strengthen and expand idea-to-impact education and research. Students are asking for career preparation that enables them to make a positive difference early in their careers. Twenty percent of incoming students say that they want to launch a company or NGO during their undergraduate years…
The report includes a number of specific ideas-to-impact recommendations. In education, they include new undergraduate minor programs focused on the engineering, scientific, economic and social dimensions of innovation projects. In research, it calls for supplementing research activities with specific programs designed to extend the work beyond publication with practical solutions, including proof-of-concept grants.
Extend innovation communities. Conversations with students, faculty and other stakeholders uncovered that the process of engaging with MIT’s innovation programs and activities is somewhat fragmented. The report proposes tighter integration and improved coordinations with three key types of communities:
- Students and postdocs with shared interests in innovation, including links to appropriate mentors;
- External partners, focused on linking the MIT groups more closely to corporate partners and entrepreneurs; and
- Global communities focused on linking MIT with key stakeholders in innovation hubs around the world.
Enhance innovation infrastructures. The report includes a number of recommendations for revitalizing innovation-centric infrastructures in four key areas…..
Pioneer the development of the Science of Innovation. In my opinion, the report’s most important and far reaching recommendation calls for MIT to create a new Laboratory for Innovation Science and Policy –…”
Geneticists Begin Tests of an Internet for DNA
Antonio Regalado in MIT Technology Review: “A coalition of geneticists and computer programmers calling itself the Global Alliance for Genomics and Health is developing protocols for exchanging DNA information across the Internet. The researchers hope their work could be as important to medical science as HTTP, the protocol created by Tim Berners-Lee in 1989, was to the Web.
One of the group’s first demonstration projects is a simple search engine that combs through the DNA letters of thousands of human genomes stored at nine locations, including Google’s server farms and the University of Leicester, in the U.K. According to the group, which includes key players in the Human Genome Project, the search engine is the start of a kind of Internet of DNA that may eventually link millions of genomes together.
The technologies being developed are application program interfaces, or APIs, that let different gene databases communicate. Pooling information could speed discoveries about what genes do and help doctors diagnose rare birth defects by matching children with suspected gene mutations to others who are known to have them.
The alliance was conceived two years ago at a meeting in New York of 50 scientists who were concerned that genome data was trapped in private databases, tied down by legal consent agreements with patients, limited by privacy rules, or jealously controlled by scientists to further their own scientific work. It styles itself after the World Wide Web Consortium, or W3C, a body that oversees standards for the Web.
“It’s creating the Internet language to exchange genetic information,” says David Haussler, scientific director of the genome institute at the University of California, Santa Cruz, who is one of the group’s leaders.
The group began releasing software this year. Its hope—as yet largely unrealized—is that any scientist will be able to ask questions about genome data possessed by other laboratories, without running afoul of technical barriers or privacy rules….(More)”
Just say no to digital hoarding
Dominic Basulto at the Washington Post: “We have become a nation of digital hoarders. We save everything, even stuff that we know, deep down, we’ll never need or be able to find. We save every e-mail, every photo, every file, every text message and every video clip. If we don’t have enough space on our mobile devices, we move it to a different storage device, maybe even a hard drive or a flash drive. Or, better yet, we just move it to “the cloud.”….
If this were simply a result of the exponential growth of information — the “information overload” — that would be one thing. That’s what technology is supposed to do for us – provide new ways of creating, storing and manipulating information. Innovation, from this perspective, can be viewed as technology’s frantic quest to keep up with society’s information needs.
But digital hoarding is about something much different – it’s about hoarding data for the sake of data. When Apple creates a new “Burst Mode” on the iPhone 5s, enabling you to rapidly save a series of up to 10 photos in succession – and you save all of them – is that not an example of hoarding? When you save every e-book, every movie and every TV season that you’ve “binge-watched” on your tablet or other digital device — isn’t that another symptom of being a digital hoarder? In the analog era, you would have donated used books to charity, hosted a garage sale to get rid of old albums you never listen to, or simply dumped these items in the trash.
You may not think you are a digital hoarder. You may think that the desire to save each and every photo, e-mail or file is something relatively harmless. Storage is cheap and abundant, right? You may watch a reality TV show such as “Hoarders” and think to yourself, “That’s not me.” But maybe it is you. (Especially if you still have those old episodes of “Hoarders” on your digital device.)
Unlike hoarding in the real world — where massive stacks of papers, books, clothing and assorted junk might physically obstruct your ability to move and signal to others that you need help – there are no obvious outward signs of being a digital hoarder. And, in fact, owning the newest, super-slim 128GB tablet capable of hoarding more information than anyone else strikes many as being progressive. However, if you are constantly increasing the size of your data plan or buying new digital devices with ever more storage capacity, you just might be a digital hoarder…
In short, innovation should be about helping us transform data into information. “Search” was perhaps the first major innovation that helped us transform data into information. The “cloud” is currently the innovation that has the potential to organize our data better and more efficiently, keeping it from clogging up our digital devices. The next big innovation may be “big data,” which claims that it can make sense of all the new data we’re creating. This may be either brilliant — helping us find the proverbial needle in the digital haystack — or disastrous — encouraging us to build bigger and bigger haystacks in the hope that there’s a needle in there somewhere… (More).”
Launching “Map the Banks” campaign to map the global financial industry
OpenCorporates: “Today, we are happy to announce the launch of our latest campaign: Map the Banks – possibly first ever global sprint to scrape a single class of data from every jurisdiction in the world. For this campaign, we are focussing on how the financial industry is licenced to operate.
The financial crisis cost the world 4 trillion dollars. Before we can disrupt the industry, we need to map it. The financial crisis revealed the damage done by our lack of understanding of the influence and size of banks and financial companies. We no longer want to be in the dark. Citizens and regulators have to take control back by having open and free access to this information. We are taking up the challenge of collecting every banking and financial licence in the world so we can work towards a better banking system, that works for the good of society. We’re joined in this mission by Civio, OpenNorth & many more… (Interested in being a partner? Email us!)
Collecting this data could answer questions like:
- Which companies have debt collection operations in other jurisdictions? Even with the small amount of data already collected, we know there are at least 178 financial services companies from India that operate in the US.
- Which countries have the most financial services outsourced to them?
- What companies are licenced to operate in the largest number of countries worldwide?
- Which US bank has the most consumer credit licences in Asia?
- Which organisations appear to operate like financial services companies, yet aren’t regulated as such?
- Where are credit unions being dissolved or created the fastest?