Collection

Metrics for Government Reform

Curated on July 17, 2013October 10, 2018 by Stefaan Verhulst

Geoff Mulgan: “How do you measure a programme of government reform? What counts as evidence that it’s working or not? I’ve been asked this question many times, so this very brief note suggests some simple answers – mainly prompted by seeing a few writings on this question which I thought confused some basic points.”
Any type of reform programme will combine elements at very different levels. These may include:

A new device – for example, adjusting the wording in an official letter or a call centre script to see what impact this has on such things as tax compliance.
A new kind of action – for example a new way of teaching maths in schools, treating patients with diabetes, handling prison leavers.
A new kind of policy – for example opening up planning processes to more local input; making welfare payments more conditional.
A new strategy – for example a scheme to cut carbon in cities, combining retrofitting of housing with promoting bicycle use; or a strategy for public health.
A new approach to strategy – for example making more use of foresight, scenarios or big data.
A new approach to governance – for example bringing hitherto excluded groups into political debate and decision-making.

This rough list hopefully shows just how different these levels are in their nature. Generally as we go down the list the following things rise:

The number of variables and the complexity of the processes involved
The timescales over which any judgements can be made
The difficultness involved in making judgements about causation
The importance of qualitative relative to quantitative assessment”

Crowdsourcing—Harnessing the Masses to Advance Health and Medicine

Curated on July 16, 2013August 3, 2018 by Stefaan Verhulst

A Systematic Review of the literature in the Journal of General Internal Medicine: “Crowdsourcing research allows investigators to engage thousands of people to provide either data or data analysis. However, prior work has not documented the use of crowdsourcing in health and medical research. We sought to systematically review the literature to describe the scope of crowdsourcing in health research and to create a taxonomy to characterize past uses of this methodology for health and medical research..
Twenty-one health-related studies utilizing crowdsourcing met eligibility criteria. Four distinct types of crowdsourcing tasks were identified: problem solving, data processing, surveillance/monitoring, and surveying. …
Utilizing crowdsourcing can improve the quality, cost, and speed of a research project while engaging large segments of the public and creating novel science. Standardized guidelines are needed on crowdsourcing metrics that should be collected and reported to provide clarity and comparability in methods.”

ICANN Strategy Panels Launched

Curated on July 15, 2013August 3, 2018 by Stefaan Verhulst

ICANN PressRelease: “During today’s opening ceremony of ICANN 47 in Durban, South Africa, President and CEO Fadi Chehadé announced the creation of five new ICANN Strategy Panels that will serve as an integral part of a framework for cross-community dialogue on strategic matters. The ICANN Strategy Panels will convene subject matter experts, thought leaders and industry practitioners to support development of ICANN‘s strategic and operational plans, in coordination with many other global players, and will be comprised of up to seven members including the chair for an anticipated one-year timeframe…
In its fourteen-year history, ICANN has grown to reflect a changing landscape of continued innovation, interconnectedness, and unprecedented growth in the DNS ecosystem, one that transcends groups and borders to serve the public interest. Yet, the Internet is at a critical inflection point as billions of new people are expected to join the global network in the next few years and as the nature of its usage matures dramatically. With this in mind, the ICANN Strategy Panels are expected to help catalyze transformation and advance ICANN‘s role in the context of a dynamic, increasingly complex global environment.”
See also Learning by Doing: The GovLab’s Living Labs

Why We Collaborate

Curated on July 15, 2013August 3, 2018 by Stefaan Verhulst

NPR and TED Radio Hour:
The Internet as a tool allows for really brilliant people to do things that they weren’t really able to do in the past. — Jimmy Wales
“The world has over a trillion hours a year of free time to commit to shared projects,” says professor Clay Shirky. But what motivates dozens, thousands, even millions of people to come together on the Internet and commit their time to a project for free? What is the key to making a successful collaboration work? In this hour, TED speakers unravel ideas behind the mystery of mass collaborations that build a better world.

Open Data Tools: Turning Data into ‘Actionable Intelligence’

Curated on July 13, 2013August 3, 2018 by Stefaan Verhulst

Shannon Bohle in SciLogs: “My previous two articles were on open access and open data. They conveyed major changes that are underway around the globe in the methods by which scientific and medical research findings and data sets are circulated among researchers and disseminated to the public. I showed how E-science and ‘big data’ fit into the philosophy of science though a paradigm shift as a trilogy of approaches: deductive, empirical, and computational, which was pointed out, provides a logical extenuation of Robert Boyle’s tradition of scientific inquiry involving “skepticism, transparency, and reproducibility for independent verification” to the computational age…
This third article on open access and open data evaluates new and suggested tools when it comes to making the most of the open access and open data OSTP mandates. According to an article published in The Harvard Business Review’s “HBR Blog Network,” this is because, as its title suggests, “open data has little value if people can’t use it.” Indeed, “the goal is for this data to become actionable intelligence: a launchpad for investigation, analysis, triangulation, and improved decision making at all levels.” Librarians and archivists have key roles to play in not only storing data, but packaging it for proper accessibility and use, including adding descriptive metadata and linking to existing tools or designing new ones for their users. Later, in a comment following the article, the author, Craig Hammer, remarks on the importance of archivists and international standards, “Certified archivists have always been important, but their skillset is crucially in demand now, as more and more data are becoming available. Accessibility—in the knowledge management sense—must be on par with digestibility / ‘data literacy’ as priorities for continuing open data ecosystem development. The good news is that several governments and multilaterals (in consultation with data scientists and – yep! – certified archivists) are having continuing ‘shared metadata’ conversations, toward the possible development of harmonized data standards…If these folks get this right, there’s a real shot of (eventual proliferation of) interoperability (i.e. a data platform from Country A can ‘talk to’ a data platform from Country B), which is the only way any of this will make sense at the macro level.”

The Science of Familiar Strangers: Society’s Hidden Social Network

Curated on July 13, 2013May 29, 2019 by Stefaan Verhulst

The Physics arXiv Blog “We’ve all experienced the sense of being familiar with somebody without knowing their name or even having spoken to them. These so-called “familiar strangers” are the people we see every day on the bus on the way to work, in the sandwich shop at lunchtime, or in the local restaurant or supermarket in the evening.
These people are the bedrock of society and a rich source of social potential as neighbours, friends, or even lovers.
But while many researchers have studied the network of intentional links between individuals—using mobile-phone records, for example—little work has been on these unintentional links, which form a kind of hidden social network.
Today, that changes thanks to the work of Lijun Sun at the Future Cities Laboratory in Singapore and a few pals who have analysed the passive interactions between 3 million residents on Singapore’s bus network (about 55 per cent of the city’s population). ”This is the first time that such a large network of encounters has been identied and analyzed,” they say.
The results are a fascinating insight into this hidden network of familiar strangers and the effects it has on people….
Perhaps the most interesting result involves the way this hidden network knits society together. Lijun and co say that the data hints that the connections between familiar strangers grows stronger over time. So seeing each other more often increases the chances that familiar strangers will become socially connected.
That’s a fascinating insight into the hidden social network in which we are all embedded. It’s important because it has implications for our understanding of the way things like epidemics can spread through cities.
Perhaps a more interesting is the insight it gives into how links form within communities and how these can strengthened. With the widespread adoption of smart cards on transport systems throughout the world, this kind of study can easily be repeated in many cities, which may help to tease apart some of the factors that make them so different.”
Ref: arxiv.org/abs/1301.5979: Understanding Metropolitan Patterns of Daily Encounters

How algorithms rule the world

Curated on July 13, 2013August 3, 2018 by Stefaan Verhulst

Leo Hickman in The Guardian: “From dating websites and City trading floors, through to online retailing and internet searches (Google’s search algorithm is now a more closely guarded commercial secret than the recipe for Coca-Cola), algorithms are increasingly determining our collective futures. “Bank approvals, store cards, job matches and more all run on similar principles,” says Ball. “The algorithm is the god from the machine powering them all, for good or ill.”…The idea that the world’s financial markets – and, hence, the wellbeing of our pensions, shareholdings, savings etc – are now largely determined by algorithmic vagaries is unsettling enough for some. But, as the NSA revelations exposed, the bigger questions surrounding algorithms centre on governance and privacy. How are they being used to access and interpret “our” data? And by whom?”