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2011-2012 - The Italian Academy - Columbia University

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Institute of Fine Arts and CUNY). I went to listen to some survey<br />

classes at <strong>Columbia</strong>, as a preparation for my own teaching position,<br />

and to many lectures and seminars. I was invited to give a talk in the<br />

Spring at the Rewald Research Seminar at the Graduate Center of<br />

CUNY. Fortunately, many of the Fellows at the <strong>Italian</strong> <strong>Academy</strong> this<br />

year were working on early modern <strong>Italian</strong> culture, so the exchanges<br />

during the weekly seminars were particularly lively and useful; the<br />

encounters with other disciplines, however, were also fascinating.<br />

Needless to say, New York’s artistic collections were an important<br />

component of my stay, both because they exhibit many works<br />

specifically important for my project, and thanks to their general<br />

variety and quality, which allowed me to encounter artworks from<br />

numerous media, cultures, periods and styles.<br />

Itay Sapir takes up a new position as assistant professor of art history at<br />

the Université du Québec à Montréal (UQAM), Canada.<br />

Marco Savoia<br />

My stay at the <strong>Italian</strong> <strong>Academy</strong> was the most challenging and exciting<br />

research period in my life after my Ph.D. In these very intense<br />

months, I developed three different research projects in collaboration<br />

with colleagues in the Department of Civil Engineering and<br />

Engineering Mechanics.<br />

<strong>The</strong> first project, with Prof. Raimondo Betti, concerned the<br />

development of new structural identification techniques in the presence<br />

of uncertain data. Identification techniques are presently widely<br />

used in many science and technology fields. When a numerical or<br />

theoretical model is formulated to describe a physical phenomenon,<br />

some variables must be typically set in order to obtain an effective<br />

tool for future predictions. <strong>The</strong>se variables must be obtained by<br />

using as input data a set of experimental results, obtained in controlled<br />

conditions. In our research we refined a new technique with<br />

the aim of cleaning the data obtained from acceleration recording<br />

during dynamic tests by identifying and removing the additional errors<br />

caused by the instrumentation hardware. We then verified the<br />

greater accuracy of the data after cleaning with reference to some<br />

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