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 to the discovery of knowledge from data mutually support each other. Given the interdisciplinary nature of Data Science this exploits 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 PhD 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 resumes.

Required Documents

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

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

email: dino.pedreschi@unipi.it

Program taught in:
  • English
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Last updated July 2, 2019
This course is Campus based
Start Date
Sep 2, 2019
Duration
1 week
Full-time
Price
500 EUR
Deadline
By locations
By date
Start Date
Sep 2, 2019
End Date
Sep 6, 2019
Application deadline

Sep 2, 2019

Location
Application deadline
End Date
Sep 6, 2019