Haverford Headlines

Community Care and Resources in Response to Israel-Gaza

At a time of conflict and divide, the College is working to bring students, faculty, and staff together to support one another and engage these important issues through peaceful and constructive dialogue.

Fall Fun with Friends

On a beautiful fall weekend, more than 700 friends and family members flocked to Haverford.

Alumni

Brandon Alston ’14 Shares Research on Police Countersurveillance and “Camera Cues”

The Haverford alum returned to campus to share his most recent research on Black protectionism and the camera as self-defense.

COOL CLASSES: “Refugees and Forced Migrants”

File under:

Faculty

This political science course integrates diverse disciplinary approaches—legal, political, sociological and anthropological—to explore the causes of migration, the dynamics of assimilation and incorporation of migrants in the U.S., and the process and impacts of deportation and (re)incorporation in Mexico and Central America.
The Kamikaze Canoe

File under:

Alumni, magazine

Boyce Upholt ’06 recounts a perilous trip atop a record-breaking flood—and an attempt to understand what we’ve done to America’s iconic river.
COOL CLASSES: “Indigenous Peoples and the Politics of Representation”

File under:

Faculty

This anthropology course explores the tensions between indigenous peoples and the various political and ideological structures that govern their lives.
Running After a Dream

File under:

Alumni, magazine

Jen Maranzano ’94 details her journey to run a marathon in a time that would qualify her for the Olympic trials years after her time as a member of Haverford’s cross-country and track and field teams.
COOL CLASSES: “Junior Research Seminar: The Federal Reserve”

File under:

Faculty

This economics course covers the history of monetary policy and central banking before and after the creation of the Fed, as well as current debates in monetary policy.
Documenting A Director’s Dream

File under:

Alumni, magazine

In his new documentary, He Dreams of Giants, Keith Fulton ’88 continues an exploration into the psyche of ex-Monty Python-er Terry Gilliam that began with his 2002 film festival hit Lost in La Mancha.
Kant and Plato and Locke, Oh My!

File under:

Faculty, magazine

Ahead of its series finale, Assistant Professor of Philosophy Qrescent Mali Mason discusses how NBC comedy The Good Place offers lessons in ethics along with the laughs.
CLUB LIFE: Lame Ducks Are Anything But

File under:

Students

Haverford’s long-standing, midnight-skating, stick-wielding, hoagie-eating ice hockey team is open to all players, regardless of skill level.
Curating Compassion

File under:

Alumni, magazine

Mary Ceruti ’87 is prioritizing accessibility in art as the new executive director at the Walker Art Center in Minneapolis, Minnesota
The Barrel Fires Wake to the American Dream

File under:

Alumni, magazine

The band, which is composed of Jay Carlis ’99, Mike Kay ’00, and Josh Meyer ’98, released a new EP that combines a lighthearted rock sound with politically charged lyrics.
An Actor-Activist in Hollywood

File under:

Alumni, magazine

In the roles he plays and now with his own production company, Daniel Dae Kim '90 is working to bring more diversity to the screen.
Understanding the Opioid Crisis

File under:

magazine, Alumni

Yngvild Olsen ’91, a physician specializing in addiction medicine, has recently published a book meant to “clarify and demystify” the national health emergency.
Heads in the Game

File under:

Alumni, magazine

Harlem Lacrosse puts coaches in schools to help at-risk students achieve. The skills and lessons taught by team sports, says Joel Censer ’08, “couldn’t be more transferable.”
Renowned Poet Holds Reading On Campus

File under:

Arts, Campus, Faculty

Earlier this month, poet Eileen Myles and Haverford’s Visiting Professor of English Thomas Devaney read their poems in Lutnick Library at a joint event.
COOL CLASSES: “Machine Learning”

File under:

Faculty, Science

This computer science course explores both classical and modern approaches to machine learning, with an emphasis on theoretical understanding.