Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Population Growth00:57

Population Growth

27.7K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
27.7K
Econometric Views (EViews)01:29

Econometric Views (EViews)

499
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
499
The Evidence for Evolution02:55

The Evidence for Evolution

47.4K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
47.4K
Speciation Rates01:07

Speciation Rates

22.5K
Overview
22.5K
Genetics of Speciation02:16

Genetics of Speciation

20.7K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
20.7K
Genetic Drift03:33

Genetic Drift

42.8K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
42.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Evaluating global health programmes targeting under-5 mortality: problems and recommendations.

BMJ global health·2026
Same author

Tackling Discrepancies in Trade Data: The Harvard Growth Lab International Trade Datasets.

Scientific data·2026
Same author

Letter to The Editor, Regarding "Indirect Comparison of Maralixibat and Odevixibat for the Treatment of Progressive Familial Intrahepatic Cholestasis" Recently Published by Lacey and Colleagues.

Clinical therapeutics·2025
Same author

Bridging the short-term and long-term dynamics of economic structural change.

Nature communications·2025
Same author

Changes in child mortality and population health following 10 years of health systems strengthening in rural Madagascar: A longitudinal cohort study.

PLoS medicine·2025
Same author

Descriptive characterization of ambulatory health states in Duchenne muscular dystrophy: Motor function trajectories and times to loss of ambulation.

Journal of neuromuscular diseases·2025
Same journal

RNA-ligand complexes and the attenuation of neutral confinement in the evolution of RNA secondary structures.

Journal of the Royal Society, Interface·2026
Same journal

Individual detachment-reintegration events in homing pigeon flocks and the dominance of directional adjustment in their kinematic features.

Journal of the Royal Society, Interface·2026
Same journal

Thermal stress disrupts symbiotic fluid dynamics in bobtail squid.

Journal of the Royal Society, Interface·2026
Same journal

Distinct geometrical landscapes distinguish between modes of tristability in gene regulatory networks.

Journal of the Royal Society, Interface·2026
Same journal

Slow modulation of the contraction patterns in Physarum polycephalum.

Journal of the Royal Society, Interface·2026
Same journal

Moo-ving mountains: grazing agents drive terracette formation on steep hillslopes.

Journal of the Royal Society, Interface·2026
See all related articles

Related Experiment Video

Updated: Dec 31, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.6K

Machine-learned patterns suggest that diversification drives economic development.

Charles D Brummitt1, Andrés Gómez-Liévano2, Ricardo Hausmann2,3,4

  • 1Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA.

Journal of the Royal Society, Interface
|January 9, 2020
PubMed
Summary
This summary is machine-generated.

Principal Smooth-Dynamics Analysis (PriSDA) identifies key economic drivers. Diversification and sophisticated products in exports significantly boost income growth, especially for middle-income nations.

Keywords:
complex systemsdynamical systemseconomic developmentmodellingnon-parametric regressionstatistical learning

More Related Videos

Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques
07:16

Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques

Published on: October 20, 2023

1.7K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.4K

Related Experiment Videos

Last Updated: Dec 31, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.6K
Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques
07:16

Author Spotlight: Development of a Novel Finite Element Analysis Model for Improved Orthognathic Surgical Techniques

Published on: October 20, 2023

1.7K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.4K

Area of Science:

  • Economics
  • Data Science
  • Complex Systems Analysis

Background:

  • Traditional economic growth models rely on simplified aggregate quantities.
  • Developing new economic theories often requires identifying crucial underlying factors.
  • Understanding the dynamics of complex systems is essential for accurate modeling.

Purpose of the Study:

  • To introduce Principal Smooth-Dynamics Analysis (PriSDA) for identifying patterns in complex system dynamics.
  • To apply PriSDA to automate the development of new economic growth theories.
  • To uncover key quantities driving economic growth using real-world data.

Main Methods:

  • Developed and applied Principal Smooth-Dynamics Analysis (PriSDA), a machine-learning technique.
  • Analyzed 55 years of data on countries' export baskets.
  • Inferred the dynamics of identified quantities (diversity, sophistication, machinery vs. agriculture proficiency) and per capita income.

Main Results:

  • Country export baskets are primarily distinguished by diversity and the sophistication of products.
  • Product complexity weights derived from PriSDA align with existing measures.
  • A second key dimension of variation is machinery proficiency relative to agriculture.
  • The inferred model predicts that diversification drives income growth.
  • Diversified middle-income countries are predicted to exhibit the fastest growth.
  • Convergence towards intermediate income and specialization levels is predicted.

Conclusions:

  • PriSDA effectively identifies critical quantities and their dynamics in complex systems.
  • Economic growth is significantly driven by export diversification and product sophistication.
  • The method offers a novel approach to theory development in economics and potentially other fields.
  • PriSDA can illuminate dynamics of elusive quantities like diversity and complexity in various systems.