The 19th Century: First Programmable Computing Devices Until the 19th century "early computers", probably better described as calculating machines, were basically mechanical devices and operated by hand. Early Therefore After working on the Difference Engine for ten years Babbage was inspired to build another machine, which he called Analytical Engine. Its invention was a major step towards the design of modern computers, as it was conceived the first general-purpose computer. Instrumental to the machine's design was his assistant, Augusta Ada King, Countess of Lovelace, the first female computer programmer. The second major breakthrough in the design of computing machines in the 19th century may be attributed to the American inventor Herman Hollerith. He was concerned with finding a faster way to compute the U.S. census, which in 1880 had taken nearly seven years. Therefore Hollerith invented a method, which used cards to store data information which he fed into a machine that compiled the results automatically. The punch cards not only served as a storage method and helped reduce computational errors, but furthermore significantly increased speed. Of extraordinary importance for the evolution of digital computers and |
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Databody convergence In the phrase "the rise of the citizen as a consumer", to be found on the When the citizen becomes a consumer, the state must become a business. In the data body business, the key word behind this new identity of government is "outsourcing". Functions, that are not considered core functions of government activity are put into the hands of private contractors. There have long been instances where privately owned data companies, e.g. credit card companies, are allowed access to public records, e.g. public registries or electoral rolls. For example, in a normal credit card transaction, credit card companies have had access to public records in order to verify identity of a customer. For example, in the UK citizen's personal data stored on the Electoral Roll have been used for commercial purposes for a long time. The new British Data Protection Act now allows people to "opt out" of this kind of commercialisation - a legislation that has prompted protests on the part of the data industry: While this may serve as an example of an increased public awareness of privacy issues, the trend towards outsourcing seems to lead to a complete breakdown of the barriers between commercial and public use of personal data. This trend can be summarised by the term "outsourcing" of government functions. Governments increasingly outsource work that is not considered core function of government, e.g. cooking meals in hospitals or mowing lawns in public parks. Such peripheral activities marked a first step of outsourcing. In a further step, governmental functions were divided between executive and judgemental functions, and executive functions increasingly entrusted to private agencies. For these agencies to be able to carry out the work assigned to them, the need data. Data that one was stored in public places, and whose handling was therefore subject to democratic accountability. Outsourcing has produced gains in efficiency, and a decrease of accountability. Outsourced data are less secure, what use they are put to is difficult to control. The world's largest data corporation, Technically the linking of different systems is already possible. It would also create more efficiency, which means generate more income. The question, then, whether democracy concerns will prevent it from happening is one that is capable of creating But what the EDS example shows is something that applies everywhere, and that is that the data industry is whether by intention or whether by default, a project with profound political implications. The current that drives the global economy deeper and deeper into becoming a global data body economy may be too strong to be stopped by conventional means. However, the convergence of political and economic data bodies also has technological roots. The problem is that politically motivated surveillance and economically motivated data collection are located in the same area of information and communication technologies. For example, monitoring internet use requires more or less the same technical equipment whether done for political or economic purposes. Data mining and data warehousing techniques are almost the same. Creating transparency of citizens and customers is therefore a common objective of intelligence services and the data body industry. Given that data are exchanged in electronic networks, a compatibility among the various systems is essential. This is another factor that encourages "leaks" between state-run intelligence networks and the private data body business. And finally, given the secretive nature of state intelligence and commercial data capturing , there is little transparency. Both structures occupy an opaque zone. |
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MIT The MIT (Massachusetts Institute of Technology) is a privately controlled coeducational institution of higher learning famous for its scientific and technological training and research. It was chartered by the state of Massachusetts in 1861 and became a land-grant college in 1863. During the 1930s and 1940s the institute evolved from a well-regarded technical school into an internationally known center for scientific and technical research. In the days of the Great Depression, its faculty established prominent research centers in a number of fields, most notably analog computing (led by |
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