Fields Notes, Winter/Spring 2019 Fields_Notes_19.1 | Page 23

meeting areas, event spaces, and both dedicated and shared desks. In the 2018-2019 academic year, Fields hosted 321 scholars who came to pursue independent research or to participate, for example, in Thematic, Focus, or the Fields Research Fellowship programs. Two of the many stand‑out scholars hosted in 2018-2019 academic year were Nantel Bergeron and Christopher Bergevin (York University). The following two articles are courtesy of York University Faculty of Science  Nantel Bergeron Mathematics is the language of modern science. It dates back thousands of years BCE. But unlike many scientific theories that were replaced by new ones over time, mathematical results and ideas are still valid since their infancy. “What the Ancient Greeks devised in math is still taught in schools,” points out York Research Chair Nantel Bergeron (Mathematics & Statistics). “And over time, we have kept accumulating and accumulating knowledge.” Algebra is the study of structure within mathematics and has also evolved over centuries. It deals with symbols and the rules for manipulating those symbols. In the early 20th century, however, algebra took on a new complexity by entering the abstract realm, creating a new world of mathematics to explore. This is the world that Bergeron finds himself in. “I see myself as an artist in a way, developing a language that allows us to better understand the world,” he says. He studies the structures in algebra, combining objects and breaking them in various ways to understand how different operations on the objects relate to each other. “It’s about learning what properties I can expect and deduce when I manipulate these objects,” he explains. “And when we have a system of operations that are compatible, we call it algebra, and we can start developing algorithms.” His work has applications for computer science, where there is a demand for better computational processes. But still, it takes many years to apply mathematical solutions. Bergeron points out that Google algorithms were in fact developed hundreds of years ago. 21