Technology and Economic Prosperity


EDUARDO PORTER in The New York Times: “The impact of a technological innovation depends on how deeply it embeds itself in everything we do.
Earlier this month, a couple of economists at the Harvard Business School and the Toulouse School of Economics in France produced a paper asking “If Technology Has Arrived Everywhere, Why Has Income Diverged?” Economic prosperity, they noted, is ultimately driven by technological innovation. So if technologies today spread much more quickly than they used to from rich to poor countries, how come the income divide between rich and poor nations remains so large?
It took 119 years, on average, for the spindle to spread outside of Europe to the poorer reaches of the late-18th-century world, according to the authors. The Internet encircled the globe in seven. One might expect that this would have helped developing countries catch up with the richest nations at the frontier of technology
The reason that this did not happen, the authors propose, is that despite spreading faster, new technologies have not embedded themselves as deeply, measured by their prevalence, relative to the size of the economy. “The divergence in the degree of assimilation of technologies started about 100 years ago,” observed Diego Comin of Harvard Business School, one of the authors.”

Mobile Phone Data Proves Humans Are Predictable During Chaos


Ciara Byrne in FastCompany: “Research presented by Linus Bengsston’s Flowminder Foundation to the recent Netmob 2013 held at MIT’s Media Lab showed that our movements after conflicts and disasters are highly predictable. Analysis of mobile phone data from the 2011 civil war in Cote D’Ivoire (CIV), showed that population movements were up to 88% predictable, an accuracy that was consistent with data collected after the 2010 earthquake in Haiti. In fact, we become more, rather than less, predictable in crises.”

Wikipedia Recent Changes Map


Wikipedia

The Verge: “By watching a new visualization, known plainly as the Wikipedia Recent Changes Map, viewers can see the location of every unregistered Wikipedia user who makes a change to the open encyclopedia. It provides a voyeuristic look at the rate that knowledge is contributed to the website, giving you the faintest impression of the Spaniard interested in the television show Jackass or the Brazilian who defaced the page on the Jersey Devil to feature a photograph of the new pope. Though the visualization moves quickly, it’s only displaying about one-fifth of the edits being made: Wikipedia doesn’t reveal location data for registered users, and unregistered users make up just 15 to 20 percent of all contribution, according to studies of the website.”

Building Cities Using The Power Of The Crowd


PSFK: “Rodrigo Nino, CEO of Prodigy Network, spoke at PSFK CONFERENCE 2013 about building a crowd funded skyscraper in the city of Bogota, Colombia. With a population of over 10 million, Bogota is a quickly growing metropolitan center. This growth is predominately horizontal rather than vertical, which is creating a problems involving traffic and pollution. With 1.7 million daily commuters heading into the center of the city, the average commute from door to door in Bogota is between 75 to 90 minutes every day. This problem of horizontal growth is the biggest issue facing cities in emerging markets. The solution is to go vertical, building skyscrapers to create greater density and centralization.

The issue is raising enough capital to build such structures, and generally necessitates the involvement of large and powerful institutional investors. However, Nino envisions another way, which puts the power in the hands of the people of Bogota. By turning to crowd funding to build a skyscraper, the residents themselves become the owners of the project. In order to make this a reality, Nino has been combating the misconceptions that crowd funding can only be used to finance small projects, that it is only for local communities, and that crowd funding in real estate is not safe.”

VIDEO:

Social networks as evolutionary game theory


in the Financial Times: “FT Alphaville has been taking a closer look at the collaborative economy, and noting the stellar growth this mysterious sector has been experiencing of late.
An important question to consider, however, is to what degree is this growth being driven by a genuine rise in reciprocity and altruism in the economy — or to what degree is this just the result of natural opportunism…
Which begs the question why should anyone put a free good out there for the taking anyway? And why is it that in most collaborative models there are very few examples of people abusing the system?
With respects to the free issue, internet pioneer Jaron Lanier believes this is because there isn’t really any such thing as free at all. What appears free is usually a veiled reciprocity or exploitation in disguise….
Lanier controversially believes users should be paid for that contribution. But in doing so we would argue that he forgets that the relationship Facebook has with its users is in fact much more reciprocal than exploitative. Users get a free platform, Facebook gets their data.
What’s more, as the BBC’s tech expert Bill Thompson has commented before, user content doesn’t really have much value on its own. It is only when that data is pooled together on a massive scale which allows the economies of scale to make sense. At least in a way that “the system” feels keen to reward. It is not independent data that has value, it is networked data that the system is demanding. Consequently, there is possibly some form of social benefit associated with contributing data to the platform, which is yet to be recognised….
A rise in collaboration, however, suggests there is more chance of personal survival if everyone collaborates together (and does not cheat the system). There is less incentive to cheat the system. In the current human economy context then, has collaboration ended up being the best pay-off for all ?
And in that context has social media, big data and the rise of networked communities simply encouraged participants in the universal survival game of prisoner’s dilemma to take the option that’s best for all?
We obviously have no idea if that’s the case, but it seems a useful thought experiment for us all to run through.”
 

Is Social Media Changing How We Understand Political Engagement?


New Paper (By Juliet E. Carlisle and Robert C. Patton) analyzing Facebook and the 2008 Presidential Election in Political Research Quaterly: “This research conceptualizes political engagement in Facebook and examines the political activity of Facebook users during the 2008 presidential primary (T1) and general election (T2). Using a resource model, we test whether factors helpful in understanding offline political participation also explain political participation in Facebook. We consider resources (socioeconomic status [SES]) and political interest and also test whether network size works to increase political activity. We find that individual political activity in Facebook is not as extensive as popular accounts suggest. Moreover, the predictors associated with the resource model and Putnam’s theory of social capital do not hold true in Facebook.”

OpenData Latinoamérica


Mariano Blejman and Miguel Paz @ IJNet Blog: “We need a central repository where you can share the data that you have proved to be reliable. Our answer to this need: OpenData Latinoamérica, which we are leading as ICFJ Knight International Journalism Fellows.
Inspired by the open data portal created by ICFJ Knight International Journalism Fellow Justin Arenstein in Africa, OpenData Latinoamérica aims to improve the use of data in this region where data sets too often fail to show up where they should, and when they do, are scattered about the web at governmental repositories and multiple independent repositories where the data is removed too quickly.

The portal will be used at two big upcoming events: Bolivia’s first DataBootCamp and the Conferencia de Datos Abiertos (Open Data Conference) in Montevideo, Uruguay. Then, we’ll hold a series of hackathons and scrape-athons in Chile, which is in a period of presidential elections in which citizens increasingly demand greater transparency. Releasing data and developing applications for accountability will be the key.”

Global Internet Policy Observatory (GIPO)


European Commission Press Release: “The Commission today unveiled plans for the Global Internet Policy Observatory (GIPO), an online platform to improve knowledge of and participation of all stakeholders across the world in debates and decisions on Internet policies. GIPO will be developed by the Commission and a core alliance of countries and Non Governmental Organisations involved in Internet governance. Brazil, the African Union, Switzerland, the Association for Progressive Communication, Diplo Foundation and the Internet Society have agreed to cooperate or have expressed their interest to be involved in the project.
The Global Internet Policy Observatory will act as a clearinghouse for monitoring Internet policy, regulatory and technological developments across the world.
It will:

  • automatically monitor Internet-related policy developments at the global level, making full use of “big data” technologies;
  • identify links between different fora and discussions, with the objective to overcome “policy silos”;
  • help contextualise information, for example by collecting existing academic information on a specific topic, highlighting the historical and current position of the main actors on a particular issue, identifying the interests of different actors in various policy fields;
  • identify policy trends, via quantitative and qualitative methods such as semantic and sentiment analysis;
  • provide easy-to-use briefings and reports by incorporating modern visualisation techniques;”

Just the Facts (on the value of IT to society)


New publication from the the Information Technology and Innovation Foundation (ITIF):

“A prominent economist once stated, “computer chips, potato chips, what’s the difference.” The short answer is “a lot.” Fifty-five years after the invention of the integrated circuit and 28 years after the first dot-com website was registered, information and communications technology (IT) remains a central driver of innovation and prosperity.

This fact sheet lists 53 documented economic benefits of IT, from jobs and output to competitiveness and innovation. Read the Fact Sheet.”

What the Obama Campaign's Chief Data Scientist Is Up to Now


Alexis Madrigal in The Atlantic: “By all accounts, Rayid Ghani’s data work for President Obama’s reelection campaign was brilliant and unprecedented. Ghani probably could have written a ticket to work at any company in the world, or simply collected speaking fees for a few years telling companies how to harness the power of data like the campaign did.
But instead, Ghani headed to the University of Chicago to bring sophisticated data analysis to difficult social problems. Working with Computation Institute and the Harris School of Public Policy, Ghani will serve as the chief data scientist for the Urban Center for Computation and Data.”