Peggy Scripps Award for Science Communication

Reporter Peggy Scripps
Reporter Peggy Scripps Getty Images

Society for Science is proud to honor Peggy Scripps through a $10,000 award. Peggy Scripps, the granddaughter of Society for Science founder, E. W. Scripps, was a science journalist who served as a writer and editor of Science Newsletter for many years.

The Peggy Scripps Award for Science Communication will be given to the finalist who is best able to communicate their project to the general public, explaining both the science and its potential impact on society. The award will be used by the winner to cover post-secondary educational expenses.

Learn more about the Regeneron International Science and Engineering Fair and about the awards presented at ISEF.

Peggy Scripps Award for Science Communication

ISEF 2023 Grand Award Winner, Eugene Chen, 16, of Shanghai, China


Eugene Chen, Shanghai High School International Division, China

Eugene Chen, 16, of Shanghai, China, received $10,000 for his inexpensive energy-saving device that recycles the condensation produced by air conditioners to improve their energy efficiency. His device directs the cooling fan’s airflow to spray the air conditioner’s condensation at its own condenser, lowering its temperature and thus reducing power consumption and improving its energy efficiency. Eugene believes his easy-to-install device can reduce the amount of electricity used by air conditioners by more than 10%.


EGSD002 — Energy-Free Power Saving Device for Air Conditioners


Anika Puri, Horace Greeley High School, NY, United States of America

Anika Puri, 17, of Chappaqua, New York, received $10,000 for her low-cost machine learning software that can analyze night-time infrared videos taken by a drone flown over the African wilderness to spot elephant poachers in real time. In tests, her $300 system worked with 91% accuracy, a fourfold improvement over current systems, without needing high-resolution thermal cameras that can cost up to $10,000.


EAEV066 — ElSa: A Novel Real-Time Wildlife Poacher Detection Solution Leveraging Machine Learning-Driven Spatio-Temporal Analysis of Nighttime UAV Thermal Infrared Videos


Franklin Wang, Palo Alto Senior High School, CA, United States of America

Franklin Wang, 17, of Palo Alto, California received $10,000 for his project engineering machine learning to analyze public telescope data. Through his research, he discovered six never-before-seen near-Earth asteroids. His approach can be applied to any observatory to substantially improve the detection of and search speed for fast moving asteroids (FMAs.)


PHYS050 — The Fast and Inconspicuous: New Near Earth Asteroids Discovered Using Deep Learning and Synthetic Data Are Fainter and Move Faster than Those Previously Discovered