Machine learning, text mining and detecting misinformation are some of the topics that will be explored at Syracuse University’s annual Data Science Day on Friday, Oct. 27, from 10 a.m. to 3 p.m. Hosted by the School of Information Studies, the event will be held at Falk Complex, Room 104, and can be attended virtually. 

Those interested in attending can reserve their spot with online registration. In-person space will be limited, so sign up now to reserve a spot.

“I am excited that this year’s data science day will include predictive analytics and generative AI and bots,” says iSchool Associate Professor Jeffrey Saltz, who leads the university’s data science program.

Nicolas Diaz Amigo, the chief innovation and data officer for the City of Syracuse, is one of the featured presenters and will discuss “Building the foundation for a data-driven city government.” At the city, he is responsible for leading a team of data-analytics experts and building and implementing a long-term strategy for data infrastructure, governance and analytics.

Data Science Day will also include career advice from the iSchool’s expert data science faculty and a panel discussion from students studying advanced data science. Faculty and graduate students who are researching data science will share their research insights.  

The event is open to alumni, the campus community and prospective students.