Marco Brambilla

Marco Brambilla

Full professor at Politecnico di Milano, Italy

Marco Brambilla is full professor at Politecnico di Milano. He is active in research and innovation, both at industrial and academic level. His research interests include data science, software modeling languages and design patterns, crowdsourcing, social media monitoring, and big data analysis. He has been visiting researcher at CISCO, San Josè, and University of California, San Diego. He has been visiting professor at Dauphine University, Paris.

He is co-founder of the startup Fluxedo, focusing on social media analysis, big data, and social engagement, and of the company WebRatio, devoted to software modeling tools for Web, Mobile and Business Process based software applications.

He is author of various international books and research articles in journals and conferences, with over 200 papers. He contributes to various standardization initiatives within OMG and W3C. He is the main author of the OMG standard IFML. He participated in several European and national research projects. He has been reviewer of FP7 projects and evaluator of EU FP7 proposals, as well as of national and local government funding programmes throughout Europe. He contributed to several research projects in the past. He has been PC chair of ICWE 2008, Berlin and of several workshops and conference tracks. He is PC member of several conferences and workshops, and he has been reviewer for many scientific journals. He is associate editor of SIGMOD Records.

He wrote 7 books and many scientific articles for conferences and journals. See the full publications list on Google Scholar or on DBLP, and a more organized publication list here (not frequently updated).

Here you can find a CV of Marco Brambilla in PDF format (6 pages summary).

Abstract: Exploring the bi-verse: how to analyse and benefit from the digital and physical ecospheres

The Web and social media are the environments where people post their content, opinions, activities, and resources. Therefore, a considerable amount of user-generated content is produced every day for a wide variety of purposes. On the other side, people live their everyday life immersed in the physical world, where society, economy, politics and personal relations continuously evolve. These two opposite and complementary environment are today fully integrated: they reflect each other and they interact with each other in a stronger and stronger way.

Exploring and studying content and data coming from both environments offers a great opportunity to understand the ever evolving modern society, in terms of topics of interest, events, relations, and behaviour.

In this speech I will discuss through business cases and socio-political scenarios how we can extract insights and understand reality by combining and analyzing data from the digital and physical world, so as to reach a better overall picture of reality itself. Along this path, we need to keep into account that reality is complex and varies in time, space and along many other dimensions, including societal and economic variables. The speech highlights the main challenges that need to be addressed and outlines some data science strategies that can be applied to tackle these specific challenges.

WISE 2022 @ Biarritz

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Previous WISE Editions
  • WISE 2021, Melbourne, Australia, October 26-29, 2021
  • WISE 2020, Amsterdam and Leiden, The Netherlands, October 20-22, 2020
  • WISE 2019, Hong Kong, China, January 19-21, 2020
  • WISE 2018, Dubai, UAE, November 12-15, 2018
  • WISE 2017, Puschino, Russia, October 7-11, 2017
  • WISE 2016, Shanghai, China, November 8-10, 2016
  • WISE 2015, Miami, FL, USA, November 1-3, 2015
  • WISE 2014, Thessaloniki, Greece, October 12-14, 2014
  • WISE 2013, Nanjing, China, October 13-15, 2013
  • WISE 2012, Paphos, Cyprus, November 28-30, 2012
  • WISE 2011, Sydney, Australia, October 13-14, 2011
  • WISE 2010, Hong Kong, China, December 12-14, 2010
  • WISE 2009, Poznan, Poland, October 5-7, 2009
  • WISE 2008, Auckland, New Zealand, September 1-4, 2008
  • WISE 2007, Nancy, France, December 3-7, 2007
  • WISE 2006, Wuhan, China, October 23-26, 2006
  • WISE 2005, New York, NY, USA, November 20-22, 2005
  • WISE 2004, Brisbane, Australia, November 22-24, 2004
  • WISE 2003, Rome, Italy, December 10-13, 2003
  • WISE 2002, Singapore, December 11-14, 2002
  • WISE 2001, Kyoto, Japan, 3-6 December 2001
  • WISE 2000, Hong Kong, China, June 19-21, 2000

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