Data-Driven Archaeology, Certificate

  • Application Deadline
  • 19 days
    Duration
  • English
    Language
The Summer School “Data-Driven Archaeology” will enable participants to manage the life cycle of digital archaeological data. Built around a new paradigm, considering archaeologists as both producers and users of data. Attendees will learn methods of data management, analysis and communication combininf software, statistical and practical principles. Offered at University of Pisa.

About

The training modules follow the stages of archaeological data life cycle.

  • Data recording and related tools: Standard methods of recording archaeological data, positive and critical aspects; data formats; practical activities with potteries from ArchAIDE project.
  • Open Data: Search and clean data from the web; Open Data: standards, formats, licenses; re-usable data and compatibility between different data bases.
  • Data Management: Data storage and management systems; relational databases and SQL; big data and no-SQL databases; GIS applications; metadata; ontologies. Case studies from potteries of ArchAIDE project.
  • Data Analysis: Overview of possibilities of mathematical and statistical modelling in Archaeology; descriptive statistics; statistical testing; Analsis of Variance; linear regression; spatial analysis; predictive modelling and data mining in Archaeology. Applications to data from ArchAIDE project.
  • Data visualisation and communication: Publication methods and tools; dissemination and communication of the archaeological data, data visualisation; storytelling.
  • The Data-Driven Archaeology course is offered at University of Pisa.

    Detailed Programme Facts

    Programme Structure

    The Data-Driven Archaeology summer school aims for a fruitful combination of archaeology and statistics through the teaching of Data analysis, Data mining, and Data visualization techniques, 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. 

    Audience

    Students, graduates, PhD candidates, and post-docs in archaeology or related to Cultural Heritage. Specific computer science or technology skills are not required. The course is open to EU (including University of Pisa students) and non-EU applicants. For an effective learning environment, the number of participants will be limited to 20.

    Lecturers

    • Gabriele Gattiglia and Nevio Dubbini

    English Language Requirements

    This programme requires students to demonstrate proficiency in English.

    Schedule IELTS

    Academic Requirements

    Students, graduates, PhD candidates, and post-docs in archaeology or related to Cultural Heritage. Specific computer science or technology skills are not required. The course is open to EU (including University of Pisa students) and non-EU applicants. For an effective learning environment, the number of participants will be limited to 20.

    Tuition Fee

    • International Applies to you

      750 EUR/full
      Tuition Fee
      Based on the original amount of 750 EUR for the full programme and a duration of 19 days.
    • EU/EEA Applies to you

      750 EUR/full
      Tuition Fee
      Based on the original amount of 750 EUR for the full programme and a duration of 19 days.
    We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

    Living costs for Pisa

    • 750 - 1100 EUR/month
      Living Costs

    The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

    Funding

    Check the programme website for information about funding options.

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