Regardless of where you are, your Northeastern network is there for you. Bond, socialize, learn, or build personal connections with your community and the global Northeastern network. Find an event to attend.
Say hello to the farm animals on Zoom! The Office of Alumni Relations invites you to “Creature Feature” at The Riley Farm Rescue.This live, interactive virtual event will introduce you to some of the Farm’s rescued animal residents—with possible sightings of pigs, goats, geese, and more. Learn how these rescued animals are cared for and raised with care […]
Northeastern is a world leader in cooperative education, and for some this program paves a clear path to success. Others lean into the School’s eleven cultural centers for a sense of community and development. Learn how three alumnae tapped into Northeastern’s resources to develop into the socially responsible professionals they are today.
The Supreme Court sits atop the American legal system and frequently decides cases with political implications. How should the Court behave when its members’ views differ from those of the American public? How will the Court rule on pending cases this term? Dan Urman, Director of the Law & Public Policy Minor at the School […]
Join this virtual talk with Dr. Susan B. Hassmiller, PhD, RN, FAAN, Senior Adviser for Nursing, Robert Wood Johnson Foundation, and Senior Scholar-In-Residence and Senior Adviser to the President on Nursing, National Academy of Medicine. In this role, Dr. Hassmiller is serving as a key member of the leadership team for the Future of Nursing 2030 report. School of Nursing Dean, Dr. Maria van Pelt, PhD, CRNA, FAAN, will be the event host and moderator.
Machine learning algorithms are affecting every aspect of our lives, from the mundane, such as movie recommendation, to the life-altering (such as recidivism assessment. Join Professor Tina Eliassi-Rad as she will discuss the good, the bad, and the ugly when it comes to the usage of machine learning in our society; and the reasons behind them. We will finish with a thought experiment: would you want a machine learning algorithm to make a life-altering decision about you? If so, why? If not, why not?