Information Overload Is a Personal and Societal Danger

We are all aware of the dangers of pollution to our air, water, and earth. In a letter recently published in Nature Human Behavior, scientists are advocating for the recognition and mitigation of another type of environmental pollution that poses equivalent personal and societal dangers: information overload.

Rensselaer Researcher Helps Scientists Make Sense of Vast Amounts of Molecular Data

Thanks to technological advances, scientists have access to vast amounts of data, but in order to put it to work and draw conclusions, they need to be able to process it. In research recently published in Genome Biology, Rensselaer Polytechnic Institute’s Boleslaw Szymanski, Ph.D., Claire and Roland Schmitt Distinguished Professor of Computer Science and director of the Network Science and Technology Center, and team have found a method that effectively organizes and groups the data for a variety of applications. The process is referred to as clustering in machine learning.

The Tipping Point for Legislative Polarization

A predictive model of a polarized group, similar to the current U.S. Senate, demonstrates that when an outside threat – like war or a pandemic – fails to unite the group, the divide may be irreversible through democratic means. 

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