In the Humanities, the exponential increase in digital documentation requires us to question its management, use, availability to the scientific community, and sustainability. These issues are even more crucial in archaeology because they relate to non-reproducible primary data. In order to effectively retrieve, 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 fundamental to interacting with ICT experts effectively.

The “R 4 aRchaeologists” Winter School aims for a fruitful combination of archaeology and statistics through the teaching of Data analysis, Data mining, and Data visualisation techniques. It is conducted through R, a programming language and free software environment for statistical computing and graphics. The large amount of data that is produced through archaeological work shows a wide degree of heterogeneity, complexity, and interconnection, making the use of algorithmic methods unavoidable. R is one of the main programming languages of Data Science and includes a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, spatial statistics, time-series analysis, classification, clustering, and others.

Bibliography:

• David R. Carlson, Quantitative methods in archaeology using R, Cambridge University Press (June 26, 2017)
• Nakoinz O. & Knitter D., Modelling Human Behaviour in Landscapes, Springer (2016)

The Winter School will last 60 hours, from January 13th to 24th, 2025, and it will take place on campus in Pisa, at the Department of Civilisations and Forms of Knowledge, in Via Trieste, 40.

The program will be activated also in distance learning mode (TEAMS platform).

Aim

The Winter School “R 4 aRcheologists” will enable participants to conduct statistical analysis and visualization of 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 univariate and multivariate analysis, spatial analysis, and data visualisation through an integrated use of R ecosystem software packages, statistical and practical principles.

Who can apply

Students, graduates, PhD candidates, and post-docs in archaeology or related to Cultural Heritage.

Language

English

Program Intensity

Full-Time

Application

Admission Requirements

Specific computer science or technology skills are not required.
For an effective learning environment, the number of participants will be limited to 20.
Personal laptops are needed for attending the winter school.
Some introductory tutorials will be delivered to attendees before the School starts.

IMPORTANT NOTICE:

• The Winter School will be activated with at least 10 students
• The maximum number of participants is set to 20 students

Required documents

• Identity Document (*PASSPORT in case you are a foreign student*)
• Enrolment Form
• Curriculum Vitae

All the documents must be in pdf format, in order to upload them on the portal when required.

Application has to be submitted via Alice portal following the instructions of the "How to apply" page.

ECTS

6

Fees

500 euro

Pay fees by Debit/Credit Card or PayPal online using the following form filling it with all the required data:

Payment Form 

NOTICE:

• International students without Italian Tax Code: please tick the box 'Anonymous' in order to disable the field 'Italian personal ID/VAT number'.
• Please type your NAME and SURNAME next to the pre-filled text of the field 'Reason'
• Please pay only after receiving the admission letter

REFUND POLICY:

Tuition fees will be refunded onfly in case of cancellation of the Winter School.

Fundings

Please write to the coordinator to get information.

Period

13 - 24 January 2025

Deadline

13 December 2024

Contacts

Coordinator
Prof. Gabriele Gattiglia Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. 
Dott. Nevio Dubbini Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. 

Website  http://www.mappaproject.org/r4rchaeologists/ 

Summer/Winter School Office Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.