Marco Brambilla

a49a9-ifml-logoI’m a professor of computer science 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 have been involved in the creation of three startups: Fluxedo, WebRatio, and Quantia.

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

The VaccinEU dataset of COVID-19 Vaccine Conversations on Twitter in French, German, and Italian

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

Despite the increasing limitations for unvaccinated people, in many European countries, there is still a non-negligible fraction of individuals who refuse to get vaccinated against SARS-CoV-2, undermining governmental efforts to eradicate the virus. Within the PERISCOPE project, we studied the role of online social media in influencing individuals’ opinions about getting vaccinated by designing a … Continue reading The VaccinEU dataset of COVID-19 Vaccine Conversations on Twitter in French, German, and Italian

Model Driven Software Engineering in Practice now published by Springer Nature

by Marco Brambilla, posted in modeling, software engineering

Starting June 2022, our book “Model Driven Software Engineering in Practice” (co-authored with Jordi Cabot and Manuel Wimmer) is now also available via Springer . This means the price is actually lower, and if you are affiliated with an academic institution, you may even have free access to the book through your institutional access. Check it here. Together … Continue reading Model Driven Software Engineering in Practice now published by Springer Nature

EXP-Crowd: Gamified Crowdsourcing for AI Explainability

by Marco Brambilla, posted in big data, data science

The spread of AI and black-box machine learning models makes it necessary to explain their behavior. Consequently, the research field of Explainable AI was born. The main objective of an Explainable AI system is to be understood by a human as the final beneficiary of the model. In our research we just published on Frontiers … Continue reading EXP-Crowd: Gamified Crowdsourcing for AI Explainability

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