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Data Science Summer School

The Data Science Summer School offers a broad multidisciplinary perspective on the different pillars of data science, including data mining and big data analytics, machine learning and AI, network science and complex systems, digital ethics, computational social science and applied data science, featuring lectures by high-level international scholars.

Aim

Data Science is emerging as a disruptive consequence of the digital revolution. It is based on the combination of big data availability, sophisticated data analysis techniques and scalable computing infrastructures. Data Science is rapidly changing the way we do business, socialize, conduct research, and govern society. It is also changing the way scientific research is performed. Model-driven approaches are supplemented with data-driven approaches. A new paradigm has emerged where theories and models and the bottom up discovery of knowledge from data mutually support each other. Given the interdisciplinary nature of Data Science this exploit data and models for advancing knowledge in different disciplines or across diverse disciplines (e.g., biology, economics, medicine, etc). The main topics of the summer school are related to big data analytics(i.e., extraction of knowledge from big data, machine learning; providing an overview of the main techniques used to automatically learn and improve from experience and complex systems; methods and technologies particularly related to network science). Moreover, lectures will highlight the ethical implications that data science could lead and the countermeasures that each data scientist can apply to perform analysis with respect to the individuals involved in the data. 

Who can apply

Master and Ph.D. students,post-doc and early-stage researchers, inter-disciplinary researchers from academia and industry.

Language

English

Program Intensity

Full-time

Admission Requirements

Applicants will be admitted to the School on the basis of their resumees 

Required Documents

• Identity Document (*PASSPORT in case you are a foreign student*)

• Enrolment Form( You find it in "Allegati" at the End of this page). You are due to fill in the form and SIGN IT TWICE in both areas marked “Sign here”, as it is stated in the document; you will upload it on the portal when required)

• Curriculum Vitae

ALL THE DOCUMENTS MUST BE IN PDF FORMAT, IN ORDER TO UPLOAD THEM ON THE PORTAL WHEN REQUIRED.

ECTS

3

Fees

€ 500,00 

The payment is due once the Summer School student will receive the admission confirmation. Details about the payment will be provided in the communication.

Fundings

Please write to the coordinator for further details.

Period

02-06 September 2019

Deadline

27 June 2019

Coordinator

Dino Pedreschi

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Website

https://datasciencephd.eu/DSSS19/

 

Further Info

Direzione Ricerca e Internazionalizzazione
Unità Cooperazione Internazionale
Lungarno Pacinotti, 44 56126 Pisa

 

Ultima modifica: Lun 24 Giu 2019 - 08:06

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