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Enhancing your computer science experience with passion and dedication

The ACM Rome Tor Vergata is an ACM Student Chapter. Our mission is to lead and promote sinergies between academia and industry
in the advancement of computer science.
ACM Rome Tor Vergata

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Digital Women Conference 2017

The past 19 october our university hosted the Digital Women Conference. It was a occasion to discuss about female presence in STEM, especially computer science and computer engineering. The initiative has been mainly promoted by Comitato Unico di Garanzia di Ateneo, chaired by Elisabetta Strickland, a professor of algebra at the Department of Mathematics, with the collaboration of Giuseppe Italiano, professor of Computer Engineering at the University of Rome “Tor Vergata”. The main guest was professor Joan Feigenbaum, the Grace Murray Hopper Professor of Computer Science at Yale University and also a fellow of ACM.

I was personally invited by Giuseppe Italiano to give my testimony, as a student, about my experience on gender discrimination.

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Next Event

Predictive Visual Analytics

Modern problems and scenarios for computer science become more and more challenging while considering the quantity and required quality of data to elaborate in order to produce meaningful results. Scenarios like online customers profiling, internet of things, information security, often encompassed into the “Big Data” word, prove to be challenging territory for analytics applications. One of the key points when dealing with huge amount of data, both in cardinality and dimensionality, is to develop and apply algorithms under severe constraints (i.e., time, budget, etc.) in order to rise situation awareness to better support decision making. In the definition of situation awareness, three main levels are identified: perception, comprehension, and projection. While the first two aim at having a full and complete understanding of the actual situation, the projection must support the ability to predict a future situation.

But what happens when the limits of the technology and algorithms do not allow to rely on exact results? What happens when the designer has to deal with the problem to show something that will be produced in a time not compatible with the decision process? These situations are getting an increasing attention and ask for different methods to cope with.

In this talk will be shown how “Predictive Visual Analytics”, a branch of Visual Analytics (the science of analytical reasoning facilitated by interactive visual interfaces) proposes solutions to anticipate the results in order to allow the decision making process to be based on intermediate results that are still not certain but that can help forming hypotheses, steer the decision towards a useful direction and in general allowing to reason on long computational processes.

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Computer science is an astonishing world that goes faster and faster every day. We study not to be spectators nor to chase it. We study because we dream of driving it.

- Giacomo Marciani, Chair

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University of Rome Tor Vergata
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