DATA-LIFE 2020: JOINT DATA SCIENCE PROGRAM WITH NEW YORK UNIVERSITY

(Practical activities, Trips and excursions)

  • Language: ENGLISH
  • Campus: SPAZIO ESTERNO AL POLIMI
  • Enrollment: 30-11-2019to hour 12:00 on
    04-12-2019
Application completed, activity in evaluation
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Teacher in charge
BRAMBILLA MARCO
Credits
3
Hours to attend
40
Max. number of students
3

Description of the initiative

DATA-LIFE is an interdisciplinary education experience involving students and faculty from NYU-CUSP (Center for Urban Science + Progress of the New York University), from Computer Science & Engineering (Data Science Lab) and Design at Politecnico di Milano.Four to six students, from NYU and from Politecnico di Milano, will join together to solve problems within the data science context. Under the supervision of the faculty of both universities, this activity will give students the opportunity to work collaboratively with real world application.Problems will cross the disciplines of data management, machine learning, data analysis, statistics and mathematics, data visualization and user experience design. Students will craft their solutions by developing the methodology, software, visualization, and high-performance elements, testing, completing the solution, and finally producing final papers that may be submitted for publication.This joint venture will provide an exciting project work and research opportunity for students in data science to apply their work to the problems of society.The project focuses on the analysis of the social response in terms of impact, visibility and localization of popular, city-scale events on social media platforms.The project takes the two Fashion Weeks of Milano and New York as exemplary cases. The aim of the project will be to understand the role of fashion brands, events, and attendees, studying their impact on city life and possible similarities or differences between the social reactions of the two cities.This proposal focuses on two key areas: the development of methods for analyzing social media data, and the development of data analysis, data visualization and social impact models.The project aims at defining a high-level model, a method, and a set of practices that support representation live, city-scale events in terms of dynamics of citizens, visitors, and event participants. The project will analyze how the urban ecosystem is impacted by such events, thus enabling data-driven decision making processes and delivering added value to city stakeholders, including citizens, tourists and visitors, public bodies, and businesses.The project will be scheduled along the following phases: 1: Polimi faculty and students travel to NY to kick-off the project at CUSP. 2: NYU faculty and students travel to Milan. 3: Student teams interact to develop their project under the osmosis of the capstone course, jointly tutored by Polimi Faculty. End of July: Final presentation of results take place simultaneously in Milan and NY.

Duration

dal January 2020 a July 2020

Calendar

Indicativamente da fine gennaio a fine luglio 2020.

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