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Data Science

Penn fourth-year and graduate student named 2026 Knight-Hennessy Scholars
Naseebullah Andar and Brianna Leung

Fourth-year Naseebullah Andar and graduate student Brianna Leung are 2026 Knight-Hennessy Scholars.

(Image: Courtesy Stanford University)

Penn fourth-year and graduate student named 2026 Knight-Hennessy Scholars

The scholarship provides financial support for as long as three years to pursue a graduate degree and global leadership training at Stanford University.

2 min. read

Blending empathy and analytics
Nature Hu.

Nature Hu is MSSP+DA student at Penn’s School of Social Policy & Practice.

(Image: Courtesy of Penn Engineering)

Blending empathy and analytics

SP2 Class of 2026 student Nature Hu explains how qualitative insight coupled with strong data analysis can effectively shape policy and resource allocations.

2 min. read

Cutting through the cluttered media landscape
Duncan Watts and the lab members of Media Bias Lab.

Duncan Watts (far left) and managing director Jeanne Ruane (second from left) with members of Penn’s Computational Social Science Lab.

(Image: Courtesy of Inspiring Impact)

Cutting through the cluttered media landscape

Penn’s Computational Social Science Lab’s Media Bias Detector team, under founder and director Duncan Watts, explores how people behave, how media works, how society functions, and how the human mind operates.

From Penn Inspiring Impact

2 min. read

Analyzing the news with AI
A person standing inside multicoloured data sheets and social media chat icons organised into circular pattern.

Image: Andriy Onufriyenko via Getty Images

Analyzing the news with AI

Annenberg School for Communication postdoctoral fellow Baird Howland looks at prominent narratives in the news media and how they shape Americans’ worldviews.

Hailey Reissman

2 min. read

AI-powered data-mining study illuminates clinical complexity of tooth decay

AI-powered data-mining study illuminates clinical complexity of tooth decay

In a new study, Penn Dental Medicine researchers developed a process to organize and analyze dental and other data, and identified new subtypes and patterns for tooth decay, which may require different types of screening and risk prediction approaches.

Penn Nursing and engineering students tackle health care challenges at inaugural Datathon

Penn Nursing and engineering students tackle health care challenges at inaugural Datathon

Nearly 70 students from Penn Nursing and Penn Engineering participated in the Datathon, sponsored by the Penn Community Collaboratory for Co-Creation last month, using the MIMIC-IV database, a massive critical care dataset, to develop innovative, data-driven solutions for real-world health care challenges. Team 6 CARE: A Critical-care Acuity & Resource Evaluation Metric earned the top award by creating a solution to better evaluate patient acuity and resource needs.