Marco Brambilla

a49a9-ifml-logoI’m associate professor of Web Science and Software Engineering 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’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:

  • Web Science (see course materials here)
  • Software Engineering
  • Advanced Software Engineering (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

Data Science for Business Innovation. Live courses for executives and managers in Italy and The Netherlands

Starting October 2019, we open a new opportunity for companies: a 2-day hands-on course on Data-driven innovation for executive and managers. The course is specially developed for executives, managers, and decision-makers that need to handle the foundations of data analysis for taking informed decisions on data-driven business, innovation path and strategies within the enterprise. It … Continue reading Data Science for Business Innovation. Live courses for executives and managers in Italy and The Netherlands

Are open source projects governed by rich clubs?

we analyze open source projects to determine whether they exhibit a rich-club behavior, that is a phenomenon where contributors with a high number of collaborations are likely to cooperate with other well-connected individuals. The presence or absence of a rich-club has an impact on the sustainability and robustness of the project. We build and study a dataset with the 100 most popular projects in GitHub.

Data Science for Business Innovation. A new MOOC on Coursera

Breaking news! We just published our new MOOC “Data Science for Business Innovation” on Coursera! Our course is available for free on Coursera and is jointly offered by Politecnico di Milano and EIT Digital, as a compendium of the must-have expertise in data science for non-technical people, including executives, middle-managers to foster data-driven innovation. The … Continue reading Data Science for Business Innovation. A new MOOC on Coursera

Content-based Classification of Political Inclinations of Twitter Users

Social networks are huge continuous sources of information that can be used to analyze people’s behavior and thoughts. Our goal is to extract such information and predict political inclinations of users. In particular, we investigate the importance of syntactic features of texts written by users when they post on social media. Our hypothesis is that … Continue reading Content-based Classification of Political Inclinations of Twitter Users

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