Training and Research
Scientific progress in archaeology, as in any other discipline, requires building abstract, generalized and transferable knowledge about the processes that underlie past human actions and their manifestations. Quantification provides the ultimate known way of abstracting and extending our scientific abilities past the limits of intuitive cognition. Quantitative approaches to archaeological information handling and inference constitute a critical body of scientific methods in archaeological research. They provide the tools, algebra, statistics and computer algorithms, to process information too voluminous or complex for purely cognitive, informal inference. They also build a bridge between archaeology and numerous quantitative sciences such as geophysics, geoinformation sciences and applied statistics. And they allow archaeological scientists to design and carry out research in a formal, transparent and comprehensible way.
Being an emerging field of research, AI science is currently a rather dispersed discipline in need of stronger, well-funded and institutionalized embedding, especially in academic teaching. Despite its evident progress and usefulness, today's quantitative archaeology is often inadequately represented in archaeological training and education. Part of this problem may be misconceptions about the seeming conflict between mathematics and humanistic archaeology.
Nevertheless, digital excavation technology, modern heritage management and complex research issues require skilled students and researchers to develop new, efficient and reliable means of processing an ever-growing mass of untackled archaeological data and research problems. Thus, providing students of archaeology with a solid background in quantitative sciences such as mathematics, statistics and computer sciences seems today more important than ever.
Currently, universities based in the UK provide the largest share of study programmes for prospective quantitative archaeologists, with many institutes in Italy developing a strong profile quickly (see links at the bottom). In Germany, the country's first lecturer's position in AI science ("Archäoinformatik") was established in 2005 at the University of Kiel (Benjamin Ducke, now at Oxford Archaeology). This was in 2005. Actually the first and only position of a regular junior professorship for "Archäoinformatik" is established in the field of Classical Archaeology at Freie Universität Berlin. There is now the center for studying "Archäoinformatik" in Germany.
The most important platform for students and researchers in quantitative archaeology and AI science is the international conference on Computer Applications and Quantitative Methods in Archaeology (CAA) which has been in existence for more than 30 years now and is held in a different city of Europe each year. Vienna's city archaeology unit also hosts an annual event that is quickly growing in international importance (see links at bottom).
Read more about this topic: Computational Archaeology
Famous quotes containing the words training and/or research:
“Perhaps the most valuable result of all education is the ability to make yourself do the thing you have to do, when it ought to be done, whether you like it or not; it is the first lesson that ought to be learned; and however early a man’s training begins, its probably the last lesson that he learns thoroughly.”
—Thomas Henry Huxley (1825–95)
“I did my research and decided I just had to live it.”
—Karina O’Malley, U.S. sociologist and educator. As quoted in the Chronicle of Higher Education, p. A5 (September 16, 1992)