The Spring School will enable participants to manage the life cycle of digital archaeological data. It is built around a new paradigm, which takes into consideration archaeologists as both producers and users of digital archaeological data. Attendees will learn the concepts and methods of data retrieval, management, analysis and communication through an integrated use of software and mathematical principles. The Summer School will take place from March 27-th to April 8-th 2017, at the University of Pisa, Italy.
Students, graduates, PhD candidates, and post-docs in archaeology or related to Cultural Heritage. Specific computer science or technology skills are not required.
In Humanities, the exponential increase in digital documentation requires us to question its management, its use, its availability to the scientific community and its sustainability. In archaeology, these issues are even more crucial because they relate to non-reproducible primary data. In order to effectively store, manage, prepare for analysis, and communicate the information and the scientific range of such an amount of data, modern archaeologists should be able to deal with concepts and tools related to new technologies. Such digital competencies are not present in a standard archaeology background, though they are very important, in order to effectively interact with IT experts.
The Data-Driven Archaeology spring school aims for a fruitful combination of archaeology and mathematics through the teaching of Data analysis, Data mining, and Data visualization techniques, together with a Big Data approach, extremely relevant but by no means common across Humanities. The large amounts of data that are produced through archaeological work, show a wide degree of heterogeneity, complexity, and interconnection, making the use of algorithmic methods unavoidable.
For an effective learning environment, the number of participants be limited to 20.
Deadline for application: March 1-st, 2017
Fees: 490 euro (accomodation and food costs are not included)
For further info please email (both)
Dr. Gattiglia: email@example.com (Scientific Manager)
Dr. Dubbini: firstname.lastname@example.org (Operations Manager)