Italy, Pisa

Archaeology of the future. Data mining, Data analysis, Data driven archaeology

when 11 July 2016 - 29 July 2016
language English
duration 3 weeks
credits 12 ECTS
fee EUR 690

In all human sciences, 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 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.

For young archaeologists being trained, the target is to get full control over digital tools for recording, processing, interpreting and publishing archaeological data, and to be aware of open source software and open formats. In this respect, this summer 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.

Training Modules
The summer school will be organized in training modules whose sequence follows that one of the life cycle of archaeological data.
1. Data recording and related tools.
Analysis of standard methods of recording archaeological data; definition of the possibilities and critical aspects of the different types of data; different standards and processing of data.
2. Search techniques and the use of data from the internet.
Searching data from the internet: use, cleaning, re-usable formats, compatibility between different data bases.
3. Data Management.
The format and the structure of the storage of data have to be chosen considering the aims of the data collection and the end use of the results. In this module the different structures of data storage will be treated, including relational databases, SQL and no-SQL standards, and GIS applications. Here we will consider the importance of preservation to ensure the authenticity, reliability and logical integrity of data in perpetuity, the use of open standards and open formats, metadata, and ontologies for linking the data.
4. Data Analysis.
Overview of possibilities in a mathematical approach in Humanities. In-depth analysis of statistical analysis techniques, spatial analysis, predictive modelling, spatio-temporal modelling, data mining.
5. Web content resources for longlife learning.
In this module we will consider repositories of contents openly available throughout the internet. There is a vast list of such resources, including open online courses, e-learning platforms, tutorials, mailing-lists, blogs, wikis, repositories of papers, books, slides. For each one of these resources, three levels of understanding will be considered, in order to get the best tools for an optimal longlife learning: the knowledge of each tool and of the type of content it brings; how to search for contents within such resources; how to aggregate different contents from different resources to get the required information.
6. Data visualisation and communication.
From the raw data to story-telling addressed to different audiences. Publication methods and tools, dissemination and communication of the archaeological data, data visualisation tools and storytelling.

Course leader

Scientific Manager, Prof. Maria Letizia Gualandi

Operations Manager, dr. Nevio Dubbini

Target group

Students, graduates, PhD candidates, and post-docs in archaeology or related to Cultural Heritage. Specific computer science or technology skills are not required.

Course aim

The Summer School will enable participants to manage the whole life cycle of archaeological data. It is built around a new paradigm which takes into consideration the role of the archaeologist as both producer and user of digital Archaeological data. Attendees will learn the concepts and methods of data retrieval, management, analysis and communication through an integrated use of technology and mathematical principles. The Summer School will take place from the 11th to the 29th of July 2016, at the University of Pisa, Italy.

Credits info

For an effective learning environment, the number of participants be limited to 20.
Deadline: June 26, 2016

ECTS: 12
Fees: 690 euro

For further info please email (both)
Prof. Gualandi: (Scientific Manager)
Dr. Dubbini: (Operations Manager)

Fee info

EUR 690: .

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