Wharton Stories: Research

Bioengineering PhD student Ana Peredo spent much of her academic career researching regeneration in the human body. Through WIVA (Wharton Social Impact’s impact investing program), she sought out companies that applied this concept towards addressing the climate crisis.

Why This Bioengineering PhD Student Pursued Impact Investing

Environmental advocate Brandon Nguyen, W’21, C’21, reflects on a trip to Tromsø, Norway earlier this year. He was the only undergraduate student from North America to present his research at the Arctic Frontiers Student Forum.

The Intersection of Advocacy and Academia: How Wharton Took Me to the Arctic

A new gender lens investing report by Wharton Social Impact’s Sandi Hunt and Catalyst at Large’s Suzanne Biegel, W’84, shows key findings on the current state of the field.

Project Sage 3.0: Key Insights from the Latest Gender Lens Investing Report

“There’s this feeling that entrepreneurs are born and not made. And that is, by and large, completely incorrect.”

7 Research-Based Principles All Young Entrepreneurs Should Follow

Wharton Prof. Adi Wyner digs into the statistics about the COVID-19 outbreak and offers insights into what the numbers mean.

Making Sense of Coronavirus Statistics

From donations to delivery services for at-risk populations, the Wharton community is joining in the fight against the pandemic.

How Wharton Students Are Supporting COVID-19 Relief Efforts

Wharton experts weigh in on the global economy, online teaching, remote work, and flattening the curve of COVID-19 impact.

Faculty Insights: How to Lead and Work Through a Pandemic

Different kinds of smiles can indicate an employee’s true motivation, according to research from Marketing Prof. Patti Williams.

The Implications of Smiling at Work

Can science help us improve communication in advertising? Prof. Michael Platt believes the answer is yes.

What Neuroscience Can Tell Us About Political Advertising

A class project on wildfire prevention led three Wharton undergrads to present their findings at the Women in Data Science Conference at Penn.

Predicting Random Forest Fires in California