Harvard’s students visit CMM to specialize in data science

Harvard’s students visit CMM to specialize in data science

A group of students from Harvard University’s Institute for Applied Computational Sciences (IACS) stayed in Chile for two weeks to work on new technics and methods for processing large volumes of information.

With Chilean students, the Americans joined in the fifth version of the Harvard-Chile Data Science School organized by the Center for Mathematical Modeling at Universidad de Chile, U. Católica, U. de Concepción, and the IACS itself.

It is a multidisciplinary and intercultural experience, where they worked with data from the astronomical observatories. They developed tools that could be used in other knowledge and Economy. For example, Mining, Agriculture, Finance, Marketing, Computer Sciences, and other fields.

“It is very interesting they could work with real data that always bring difficulties different than the fiction data,” explain CMM Astronomer Francisco Förster, who organized the activity.

Many reasons explain the Americans’ visit to Chile. One is the long CMM-IACS collaboration history. Other is related to the Mathematical research’s development. A third one is the existence of astronomical observatories that produce data of excellent quality. The last is the development of Astroinformatics, where Chile is producing frontier sciences.

Chileans and Americans are getting ahead of the challenges brought by the large volume of data that Astronomy will produce over the next decade. This project seeks to prepare professionals who will work with the information generated by the new synoptic telescopes to be installed in Chile, particularly the Large Synoptic Survey Telescope (LSST), which will produce more than 15 terabytes of data each night.

For IACS lecturer David Sondak, “from the scientific side, the technics used in this school will contribute to Astronomical development. No doubt. From the educational side, they will contribute to the training of researchers that could work in other fields.”

So, some of these students will work effectively in Astronomy, but also in other productive and scientific areas where big data is and will be a key.

Posted on Jan 18, 2018 in Frontpage, News