research paper / thesis / dissertation

How We Imagined the Internet Before the Internet Even Existed

Curated on May 23, 2013October 10, 2018 by Stefaan Verhulst

Matt Novak in Paleofuture : “In a few years, men will be able to communicate more effectively through a machine than face to face. Sounds obvious today. But in 1968, a full year before ARPANET made its first connection? It was downright clairvoyant…
The paper was written by J.C.R. Licklider and Robert Taylor, illustrated by Rowland B. Wilson, and appeared in the April 1968 issue of Science and Technology. The article includes some of the most amazingly accurate predictions for what networked computing would eventually allow….

The article rather boldly predicts that the computerized networks of the future will be even more important for communication than the “printing press and the picture tube”—another idea not taken for granted in 1968:

Creative, interactive communication requires a plastic or moldable medium that can be modeled, a dynamic medium in which premises will flow into consequences, and above all a common medium that can be contributed to and experimented with by all.
Such a medium is at hand—the programmed digital computer. Its presence can change the nature and value of communication even more profoundly than did the printing press and the picture tube, for, as we shall show, a well-programmed computer can provide direct access both to informational resources and to the processes for making use of the resources.

The paper predicts that the person-to-person interaction that a networked computer system allows for will not only build relationships between individuals, but will build communities.

What will on-line interactive communities be like? In most fields they will consist of geographically separated members, sometimes grouped in small clusters and sometimes working individually. They will be communities not of common location, but of common interest. In each field, the overall community of interest will be large enough to support a comprehensive system of field-oriented programs and data.

…In the end, Licklider and Taylor predict that all of this interconnectedness will make us happier and even make unemployment a thing of the past. Their vision of everyone sitting at a console, working “through the network” is stunningly accurate for an information-driven society that fifty years ago would’ve looked far less tech-obsessed.

When people do their informational work “at the console” and “through the network,” telecommunication will be as natural an extension of individual work as face-to-face communication is now. The impact of that fact, and of the marked facilitation of the communicative process, will be very great—both on the individual and on society.
First, life will be happier for the on-line individual because the people with whom one interacts most strongly will be selected more by commonality of interests and goals than by accidents of proximity. Second, communication will be more effective and productive, and therefore more enjoyable. Third, much communication and interaction will be with programs and programmed models, which will be (a) highly responsive, (b) supplementary to one’s own capabilities, rather than competitive, and (c) capable of representing progressively more complex ideas without necessarily displaying all the levels of their structure at the same time-and which will therefore be both challenging and rewarding. And, fourth, there will be plenty of opportunity for everyone (who can afford a console) to find his calling, for the whole world of information, with all its fields and disciplines, will be open to him—with programs ready to guide him or to help him explore.

(You can read the entire paper online [pdf]. )”

When the Crowd Fights Corruption

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

New Harvard Business School Research Paper by Paul Healy and Karthik Ramanna (Harvard Business Review): “Corruption is the greatest impediment to conducting business in Russia, according to leaders recently surveyed by the World Economic Forum. Indeed, it’s a problem in many emerging markets, and businesses have a role to play in combating it, according to Healy and Ramanna. The authors focus on RosPil — an anticorruption entity in Russia set up by Alexey Navalny, a crusader against public and private malfeasance in that country. As of December 2011, RosPil claimed to have prevented the granting of dubious contracts worth US$1.3 billion. The organization holds corrupt politicians’ and bureaucrats’ feet to the fire largely through internet-based crowdsourcing, whereby often-anonymous people identify requests for government-issued tenders that are designed to generate kickbacks. Should entities like RosPil be supported, and should companies fashion their own responses to corruption? On the one hand, there are obvious public-relations and political risks; on the other hand, corruption can erode a firm’s competitiveness, the trust of customers and employees, and even the very legitimacy of capitalism. The authors argue that heads of many multinational companies are well positioned to combat corruption in emerging markets. Those leaders have the power to enforce policies in their organizations and networks, and they enjoy the ability to organize others in the industry against this pernicious threat.”

Technology and Economic Prosperity

Curated on May 15, 2013October 9, 2018 by Stefaan Verhulst

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.”

Infotopia – Unleashing the Democratic Power of Transparency

Curated on May 11, 2013December 6, 2018 by Stefaan Verhulst

New Paper by Prof. Archon Fung in Politics and Society: “In Infotopia, citizens enjoy a wide range of information about the organizations upon which they rely for the satisfaction of their vital interests. The provision of that information is governed by principles of democratic transparency. Democratic transparency both extends and critiques current enthusiasms about transparency. It urges us to conceptualize information politically, as a resource to turn the behavior of large organizations in socially beneficial ways. Transparency efforts have targets, and we should think of those targets as large organizations: public and civic, but especially private and corporate. Democratic transparency consists of four principles. First, information about the operations and actions of large organizations that affect citizens’ interests should be rich, deep, and readily available to the public. Second, the amount of available information should be proportionate to the extent to which those organizations jeopardize citizens’ interests. Third, information should be organized and provided in ways that are accessible to individuals and groups that use that information. Finally, the social, political, and economic structures of society should be organized in ways that allow individuals and groups to take action based on Infotopia’s public disclosures.”

The Uncertain Relationship Between Open Data and Accountability

Curated on May 9, 2013August 3, 2018 by Stefaan Verhulst

Tiago Peixoto’s Response to Yu and Robinson’s paper on The New Ambiguity of “ Open Government ”: “By looking at the nature of data that may be disclosed by governments, Harlan Yu and David Robinson provide an analytical framework that evinces the ambiguities underlying the term “open government data.” While agreeing with their core analysis, I contend that the authors ignore the enabling conditions under which transparency may lead to accountability, notably the publicity and political agency conditions. I argue that the authors also overlook the role of participatory mechanisms as an essential element in unlocking the potential for open data to produce better government decisions and policies. Finally, I conduct an empirical analysis of the publicity and political agency conditions in countries that have launched open data efforts, highlighting the challenges associated with open data as a path to accountability.”

The Commodification of Patient Opinion: the Digital Patient Experience Economy in the Age of Big Data

Curated on May 9, 2013October 10, 2018 by Stefaan Verhulst

Paper by Lupton, Deborah, from the Sydney Unversity’s Department of Sociology and Social Policy . Abstract: “As part of the digital health phenomenon, a plethora of interactive digital platforms have been established in recent years to elicit lay people’s experiences of illness and healthcare. The function of these platforms, as expressed on the main pages of their websites, is to provide the tools and forums whereby patients and caregivers, and in some cases medical practitioners, can share their experiences with others, benefit from the support and knowledge of other contributors and contribute to large aggregated data archives as part of developing better medical treatments and services and conducting medical research.
However what may not always be readily apparent to the users of these platforms are the growing commercial uses by many of the platforms’ owners of the archives of the data they contribute. This article examines this phenomenon of what I term ‘the digital patient experience economy’. In so doing I discuss such aspects as prosumption, the phenomena of big data and metric assemblages, the discourse and ethic of sharing and the commercialisation of affective labour via such platforms. I argue that via these online platforms patients’ opinions and experiences may be expressed in more diverse and accessible forums than ever before, but simultaneously they have become exploited in novel ways.”

Human-Based Evolutionary Computing

Curated on May 8, 2013November 13, 2018 by Stefaan Verhulst

Abstract of new paper by Jeffrey V. Nickerson on Human-Based Evolutionary Computing (in Handbook of Human Computation, P. Michelucci, eds., Springer, Forthcoming): “Evolution explains the way the natural world changes over time. It can also explain changes in the artificial world, such as the way ideas replicate, alter, and merge. This analogy has led to a family of related computer procedures called evolutionary algorithms. These algorithms are being used to produce product designs, art, and solutions to mathematical problems. While for the most part these algorithms are run on computers, they also can be performed by people. Such human-based evolutionary algorithms are useful when many different ideas, designs, or solutions need to be generated, and human cognition is called for”