School of Science

Rensselaer Researcher To Follow the Trail of Misinformation

On 9/11, lawmakers from both parties unified in their response. Just over 20 years later, Congress is distinctly partisan, clashing on everything from the January 6 insurrection to COVID to climate change. Why? Many blame widespread and widely believed misinformation and disinformation.

Rensselaer Researcher To Uncover Deep Sea Mysteries

A few years ago, Rensselaer Polytechnic Institute’s Sasha Wagner, assistant professor of earth and environmental sciences, proved false what scientists had thought for years. Soot-like molecules that formed an ancient carbon pool deep in the Pacific Ocean did not, in fact, originate from wildfires on land.

Rensselaer To Advance Blockchain Tech With $360k Grant

Rensselaer Polytechnic Institute’s Oshani Seneviratne, director of health data research at the Institute for Data Exploration and Applications (IDEA), and Lirong Xia, associate professor of computer science, have been awarded $363,343 from the Algorand Foundation. The award is part of an $8 million grant to fund blockchain research through a project led by Vassilis Zikas, associate professor of computer science and security researcher at Purdue University.

Researchers Develop Equations to Prevent the Collapse of Our Globe’s Most Imperiled Ecosystems

News headlines on extreme weather, melting ice caps, and threatened species are daily reminders of our changing environment. The profound scale and intensity of these challenges may leave one to wonder, “What should we do first?” Researchers recently developed formulas that help answer that question, effectively creating a method to triage declining ecosystems by measuring and comparing their distance to tipping points.

Rensselaer Researchers to Address Big Data Challenges

Dr. Yangyang Xu, assistant professor of mathematical sciences at Rensselaer Polytechnic Institute, has received a $250,000 grant from the National Science Foundation (NSF) to research challenges associated with distributed big data in machine learning.

Prediction of Human Movement During Disasters To Allow For More Effective Emergency Response

The COVID-19 pandemic, bigger and more frequent wildfires, devastating floods, and powerful storms have become unfortunate facts of life. With each disaster, people depend on the emergency response of governments, nonprofit organizations, and the private sector for aid when their lives are upended. However, a complicating factor in delivering that aid is that people tend to disperse with such disasters.  

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