At a glance

Cecil H. Green Library

Mario Paci

A series of events will be held on January 23, 2017 to commemorate the opening of the new exhibit at the East Asia Library, "Mario Paci: An Italian Maestro in China."  Two public lectures will be offered from 12:00 - 1:30 PM at the East Asia Library, followed by a recital at 4:00 PM at Toyon Hall, featuring performances of several of Mario Paci's compositions.  The East Asia Library will host an opening reception for the exhibit from 5:00 - 6:00 PM.

Mario Paci

January 23, 2017 - April 22, 2017

Located in the entrance hall of the East Asian Library, "Mario Paci: An Italian Maestro in China" features an exhibition of of selected materials from the Mario Paci Papers, a collection of documents, photographs, and musical scores donated to Stanford University Libraries in 2013 by Floria and Alexander Zaharoff, Paci's daughter and grandson, with the assistance of Stanford professor Jindong Cai.  This important collection of documents is held in Stanford University Libraries Special Collections, and has recently been digitized.     

Mario Paci

On October 14, the exhibit, “Mario Paci and Music Culture in Shanghai: A Special Exhibition in Commemoration of Mario Paci,” opened at Shanghai Symphony Hall to commemorate 70 years since the death of the Symphony’s revered founding conductor. The exhibit is a collaborative project between the Stanford University Libraries, the Shanghai Conservatory of Music, and the Shanghai Symphony Orchestra.

GIS Day @Stanford

GIS Day is an annual celebration of geospatial technologies, held on the Wednesday of Geography week. The Stanford Geospatial Center uses GIS Day as an opportunity to connect Stanford researchers to the cutting edge of geospatial technologies, services and applications through talks, workshops and other activities. This year, we'll have analysts, developers and scientists from DigitalGlobe, Mapbox, CARTO, NASA, The National Geospatial Intelligence Agency and more, talking about their work to leverage geospatial data and technologies using machine learning, drones, satellite imagery, and historical data!