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Related Experiment Video

Updated: May 27, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

Age dynamics in scientific creativity.

Benjamin F Jones¹, Bruce A Weinberg

¹Department of Management and Strategy, The Kellogg School of Management, Northwestern University, Evanston, IL 50208, USA.

Proceedings of the National Academy of Sciences of the United States of America

|November 9, 2011

Summary

This summary is machine-generated.

The relationship between age and creativity in Nobel Prize winners changes more over time than across scientific fields. Shifts in training and theoretical contributions influence research productivity lifecycles.

Related Experiment Videos

Last Updated: May 27, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

Area of Science:

Scientific research
Nobel Laureates
Age-creativity relationship

Background:

The relationship between age and scientific creativity is complex.
Previous studies have focused on field-specific differences, but temporal variations are less understood.

Purpose of the Study:

To investigate how the age-creativity relationship has evolved over time.
To identify factors influencing the age dynamics of research productivity.

Main Methods:

Analysis of Nobel Laureate data.
Examination of temporal trends in scientific fields.
Correlation of age-productivity with training patterns and theoretical contributions.

Main Results:

Age-creativity dynamics vary more significantly over time than across different scientific fields.
Field-specific changes in training and theoretical work correlate with shifts in research productivity lifecycles.
These dynamics are particularly evident in physics, coinciding with the rise of quantum mechanics.

Conclusions:

Fundamental shifts in the research productivity lifecycle are occurring.
The findings inform theories on the age-creativity relationship.
Observable predictors for peak achievement age can be identified.