Peter Vanham in the FT’s Beyond Brics blog: “Don’t let success stories like M-Pesa in Kenya fool you: the worldwide digital divide is still increasing and Africa remains the biggest victim.” So says Soumitra Dutta, Dean of Cornells’ Johnson School of Management, talking to beyondbrics at the launch of the World Economic Forum’s Global Information Technology Report 2013.
M-Pesa, the highly successful mobile payments service in Kenya, has attracted global attention. Used by the vast majority of Kenyans, M-Pesa is so successful that, according to Quartz, a massive 31 per cent of Kenya’s GDP is spent through mobile phones.
It was proof that technological progress could happen in low-income countries with poor infrastructure. It has been copied in other emerging markets, leading some to believe the so-called digital divide between the developed and the developing world was ready to fall.
But the opposite is true, says the Indian born Dutta, a founding author of the WEF’s IT report….
To support his claim, Dutta refers to the latest available data on access to different mobile technologies (see graph – click to enlarge).”:
Big Data can help keep the peace
NextGov story: “Some of the same social media analyses that have helped Google and the Centers for Disease Control and Prevention spot warning signs of a flu outbreak could be used to detect the rumblings of violent conflict before it begins, scholars said in a paper released this week.
Kenyan officials used essentially this system to track hate speech on Facebook, blogs and Twitter in advance of that nation’s 2013 presidential election, which brought Uhuru Kenyatta to power.
Similar efforts to track Syrian social media have been able to identify ceasefire violations within 15 minutes of when they occur, according to the paper on New Technology and the Prevention of Violence and Conflict prepared by the United States Agency for International Development, the United Nations Development Programme and the International Peace Institute and presented at the United States Institute of Peace Friday.”
Interpretative Communities
Communities to sense locally of open government data.
A new paper on “Local governance in the new information ecology” in the journal Public Money & Management calls for the creation of “interpretative communities” to make sense locally of open government data. In particular, they argue that:
“The availability of this open government data… solves nothing: as many writers have pointed out, such data needs to be interpreted and interpretation is always a function of a collective—what has been called an ‘interpretative’ or ‘epistemic’ community.”
The call mirrors the emerging view that the next stage regarding open data is to focus on making sense of the data and using it to serve the public good.
The authors identify “three different models of ‘interpretative communities’ that have emerged over the last few decades, drawing on, respectively, literary theory, science and technology studies and international politics”—including reference groups, epistemic communities, and expert networks. As to developing these communities locally, the paper states that it will require us…
“to rethink the resources and institutions that could support a local use of OGD and other resources. Such institutional support for local interpretation cannot be wholly local but needs to draw, in a critical and interactive manner, on wider knowledge bases. In the end, the model of the local that needs to be mobilized is not one based on spatial propinquity alone, or on a bounded sense of local, but one in which the local is seen as relational, connected and dynamic…we might look to the new technologies, and the newly-emerged social networks or Web 2.0 in particular, for such a balance of the local and the extra local”.
The paper ultimately is a critique of the current movement to provide open data that is presented as objective knowledge but is based on a “view from nowhere”…
“To make it into the view from somewhere will require the construction of powerful, yet open, interpretative communities to enact local governance with all of the subsequent questions arising about current modes of democratic representation, sectional interests in the third and private sector and centrallocal government dynamics. The prospects of such an information ecology to support interpretative community building emerging in the current environment in anything other than a piecemeal and reactive way do not appear promising.”
Vision for Citizen Engagement
From Development Gateway on their “Vision for Citizen Engagement”: “As governments become more open they are producing more open data about their activities. Yet open data is just a “gateway drug” toward more participatory governance. We need to focus on the ecosystem that surrounds such tools to get citizens “hooked” on the power of open data to effect the changes that are relevant to their day-to-day challenges…. The key to Open Data adoption is relevance and context. What data will citizens find relevant? And how they will use that relevant data to improve their lives?…
We believe that an informed and engaged citizenry and civil society, using the tools of Open Data, can improve development outcomes in partnership with their governments.
To find out what matters to citizens, civil society, technologists, and governments, we need to bring them together in “safe” public venues where they can identify development challenges and create lasting solutions together face-to-face. For citizens, governments, and civil society, this can be traditional community centers like libraries, schools, universities and places of worship.
For technologists, co-working spaces like the “Hubs” and “Labs” that are emerging around the world are bringing excitement and attention to development challenges. DG took a slightly different approach than others. We reinvented our working environment, opening up our office space and inviting over sixteen other organizations to form the new OpenGov Hub. With almost daily events mixing citizens, governments, and civil society with technologists, we are beginning to see significant increased collaboration and innovation.”
Data Science: The Numbers of Our Lives
NYT on the integration of data science within universities: “In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates.”
EU Open Data rules
European Commission: Press Release: “The European Commission welcomes endorsement by the EU Council’s ‘Coreper’ committee (EU Committee of Member States’ Permanent Representatives) of the Commission’s effort to open-up public sector data for re-use across Europe.”
Open Data and Charities
Chronicle of Philanthropy: “President Obama is asking Congress to require nonprofits to file their informational tax returns electronically and taking other steps to encourage the Internal Revenue Service to make charity data more easily available to the public.
In his budget proposal for fiscal 2014, which starts October 1, Mr. Obama urged Congress to phase in a requirement that would force all charities to file their returns electronically within the next three years.”
The Science of What We Do (and Don't) Know About Data Visualization
Robert Kosara on the HBR Blog Network: “Visualization is easy, right? After all, it’s just some colorful shapes and a few text labels. But things are more complex than they seem, largely due to the the ways we see and digest charts, graphs, and other data-driven images. While scientifically-backed studies do exist, there are actually many things we don’t know about how and why visualization works. To help you make better decisions when visualizing your data, here’s a brief tour of the research.”
Datafication
The rendering of more aspects of everyday life into new data formats.
Kenneth Neil Cukier, data editor at The Economist and co-author of Big Data: A Revolution That Will Transform How We Live, Work, and Think (listen to a his interview on NPR) recently explained at Big Think a new term that describes how data mediates our lives: Datafication.
“Datafication refers to the fact that we’re looking at more aspects of life that we never actually understood as being informational before. And finding out that that in fact there is an informational quality to it that we can render into a data format. So what we’re seeing with social media companies is they’re actually datafying aspects of the life that we never really saw that could be datafied. So for example Facebook datafies our friendships. Twitter datafies our whispers or maybe our stray thoughts. And LinkedIn datafies our professional contacts. And more and more and more are we seeing that we’re able to take the daily interactions of living, things that we never really saw that can be rendered into a data format and we’re putting it into data formats.”
Potential of datafication for re-imagining governance? Kenneth says:
“you can just use your imagination and think of some of the extraordinary uses. One way that we’re doing it is looking at who contacts whom on Twitter and who’s one’s followers are. And we’re able to identify that, and we never known this before that subpopulations exist that are either immunized for the flu or are not. Now it’s a public health issue. The whole point of vaccinations is that you take a broad population, you vaccinate many but not all and everyone is covered. What we’ve just now learned with Twitter is that this idea of herd immunity might not be the case because there’s whole subgroups of the population that all don’t get vaccinated yet they all hang out together. They do virtually and we’re seeing that those virtual ties are also physical ties. I want to stress this sounds like it might be an intuitive thing. It’s not. It sounds like this might just be a nice thing to know, it’s deadly important. It’s very serious.”
Watch the Video of Kenneth discussing Datafication:
The promise of Open Data to solve Big Problems
Tal Kopan in Politico: “The term open data brings to mind images of next bus apps and geeks poring over data sets about potholes, but advocates say the next phase could go far beyond the smartphone — changing the way cities and governments tackle big problems and even how they work together.
Experts see increased collaboration and universalized standards as upcoming steps to take open data’s recent success stories to the next level — and keep moving it toward its next act, which could involve addressing issues as complex as climate change, education and public health”