Marco Brambilla

a49a9-ifml-logoI’m full professor at Politecnico di Milano, Italy.

I lead the Data Science Lab at Politecnico di Milano, DEIB.

My current research interests are on Web Science, Big Data Analysis,  Social Media Analytics, and Model-driven Development.

I currently teach courses on Systems and Methods and Models for Big and Unstructured Data, and Enterprise ICT Architectures.

I’m the inventor of the Interaction Flow Modeling Language (IFML) standard by the OMG, and of 2 patents on crowdsourcing and multi-domain search.

I started-up Fluxedo and WebRatio.

I currently teach:

  • Enterprise ICT Architecture
  • Systems and Methods for Big and Unstructured Data
  • Web Science (see course materials here)
  • Digital Innovation Lab
  • Model-driven Engineering (see book here)

My most recent books:

 9781627057080-MDSE-Book-Brambilla-Cabot-Wimmer-modeling-small


Model Driven Engineering in Practice
(second edition)
Web Information Retrieval
Model-Driven UI Engineering
of Web and Mobile Apps with IFML

Recent Posts

Large-Scale Analysis of On-line Conversation about Vaccines before COVID-19

by Marco Brambilla, posted in big data, data science, social network analysis

In this study, we map the Twitter discourse around vaccinations in English along four years, in order to: discover the volumes and trends of the conversation; compare the discussion on Twitter with newspapers’ content; and classify people as pro- or anti- vaccination and explore how their behavior is different. Datasets. We collected four years of … Continue reading Large-Scale Analysis of On-line Conversation about Vaccines before COVID-19

Call for good practices proven effective in the management and containment of the COVID-19 pandemic effects on economy, society, and healthcare

by Marco Brambilla, posted in data science

PERISCOPE (“Pan-European Response to the Impacts of COVID-19 and future Pandemics and Epidemics”) is a large-scale project that aims at mapping and analysing the impacts of the COVID-19 pandemic, developing solutions and guidance for policymakers and health authorities on how to mitigate the impact of the pandemic, and enhancing Europe’s preparedness for future similar events. We … Continue reading Call for good practices proven effective in the management and containment of the COVID-19 pandemic effects on economy, society, and healthcare

PERISCOPE: the EU project on socio-economic and behavioral impacts of the COVID-19 pandemic

by Marco Brambilla, posted in data science

Starting today, our team at the Data Science Lab Polimi will participate to the PERISCOPE European project. PERISCOPE will investigate the broad socio-economic and behavioral impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks. The European Commission approved PERISCOPE (PAN-EUROPEAN RESPONSE TO THE IMPACTS OF COVID-19 AND FUTURE … Continue reading PERISCOPE: the EU project on socio-economic and behavioral impacts of the COVID-19 pandemic

Generation of Realistic Navigation Paths for Web Site Testing using RNNs and GANs

by Marco Brambilla, posted in big data, data science, event, software engineering

we propose a method that focuses on the generation of REALISTIC NAVIGATIONAL PATHS, i.e., web logs. Our approach is extremely relevant because it can at the same time tackle the problem of lack of publicly available data about web navigation logs, and also be adopted in industry for AUTOMATIC GENERATION OF REALISTIC TEST SETTINGS of Web sites yet to be deployed.

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