As the world marks one year since COVID-19 upended everyday life, governments around the world have often touted that they are “guided by data” or are “following the science” as they close or open different sectors of the economy.
In 2019, the national estimates remain jarring: Three out of every five fire-related deaths in homes occur in properties without working smoke alarms.
This project was completed as part of the MUSA 507 course, taught in the fall of 2018 by faculty member Ken Steif. The Motivation
Professor Tony Smith has taught in the MUSA program since its inception. He is recognized as an international expert in the fields of spatial statistics and spatial analysis.
This post showcases some of the impressive first semester data science work by the MUSA and Planning students in Ken Steif's course, MUSA 507. The students chose from four possible spatial machine learning projects.
Allison came to Penn after working as a postdoctoral fellow at Monash University in Melbourne, Australia, with the Cooperative Research Centre for Water Sensitive Cities.
A team of City and Regional Planning students at Weitzman won the latest datathon organized by the Wharton Customer Analytics (WCA) for Electronic Arts (EA), the entertainment company behind such hit games as FIFA 17 and The Journey.
MUSA student Anthony Ayebiahwe grew up small coastal community in Ghana where many housholds lack reliable electricity. So he’s teamed up with students from across Penn to change that.
On the morning of September 28th, an eclectic group assembled at the Ace Hotel in New York City.
This past spring saw some really important innovations in the MUSA program at Penn. Let's take a look at three of these acheivements.
Prospective MUSA students want to know what our alumni do after they leave Penn. We recently completed our first MUSA Alumni Survey that we will update every couple of years.
Below is a sampling of what our students accomplished spring semester 2017. The below excerpts were edited slightly for conciseness. Yun Shi – Smart Select