Summer School on Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning ~ UNIPI

Language: English

Period: 9 – 13 June 2025

Deadline: 31 March 2025

Program Intensity: Full-time

ECTS: 3

Tuition fees: 500€

The international Summer School on Agriculture, Forest and Environmental geodata Statistical analysis, modelling and machine learning [SAFEST] will provide theoretical and practical teaching on the statistical methods and tools for geodata handling and analysis, with special emphasis to soil traits, crop yield or plant biomass in the agricultural, forest and other land uses under variable management and environmental conditions. Methods provided will be tailored to a wide range of scales, from plot to landscape to regional scales.

Topics in the school include:

use of reference databases on land cover, soil traits, and meteorological and climate data;
data search, download, visualization, spatial references and projections, proximal and remote sensed data, terrain analysis, graphical interface;
methods for covariate identification, acquisition, and selection, and inclusion in modelling procedures;
linear mixed models for statistical analysis of soil and biological data, methods to include spatialization and soil depth as variables, methods to study unbalanced data or including variables with missing data, regression models;
overview on models and some case studies: decision trees (random forest, boosted regression trees, others), artificial neural networks, process based modles, geomatics, etc..

The school will include theoretical lessons in the morning and practical lessons in the afternoon.

Participants to SAFEST will be able to deal with geodata and their handling and analysis in a wealth of areas, including agriculture, forest, other land uses, the study of soil biodiversity, soil science, farming systems, and other environmental areas.

The Summer School received the support of SHARInG-MeD (PRIMA GA n 2211) and SUS-SOIL (HORIZON EUROPE GA n 101157560).

The Summer School will be held on campus, in Pisa, at Dipartimento di Scienze Veterinarie, viale delle Piagge, 2.

Aim

Aim of the school is stimulating the integration among different data handling strategies and modelling procedures of geodata, with special emphasis to plant biomass and soil traits, and to support the modelling activities in various fields of expertise, including agriculture and forest management, soil management, soil biodiversity, and their potential relationship with economic, environmental indicator or social data.

Who can apply

The course is primarily aimed to Master of science students, Master of Scienze, PhD students, PhD, professionals in the topics of the school.

Application

Admission Requirements: Bachelor’s degree

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.

Important info and deadlines:

31 March 2025: general application deadline
4 April 2025: list of the 50 admitted students + shortlist for the eligible applicants from spot 51st onwards. Applicants of both lists will receive commication of their elibigility
5 April 2025: opening of the payment portal for the 50 admitted students
18 April 2025: deadline for the tuition fee payment
Students in the shortlist will receive instructions for the payment only in case of withdrawal of anyone from the list of the 50 admitted students.

Important notice:

The Summer School will be activated with at least 15 students.
The maximum number of participants is set to 50 students.

Fees

Tuition fees: 500€

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

Payment Form (MANCA LINK)
[the payment form will be available from 5 April 2025 only to those in the list of the 50 admitted students]

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

The refund of tuition fees already paid is allowed in case of health issues or failure to obtain a visa. Each request must be accompanied by relevant document, which will be evaluated by the managing commission.

Any refund request received after 5 June 2025 will be rejected unless it is due to health reasons.

Contacts

Coordinator

Prof. Sergio Saia

sergio.saia@unipi.it

Website https://linktr.ee/sharingmed

Summer/Winter School Office support.summerschool@unipi.it

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Summer School on Agriculture, Forest and Environmental Geodata Statistical Analysis, Modelling and Machine Learning

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