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

Decision Making: P-value Method01:09

Decision Making: P-value Method

5.3K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.3K
Social Facilitation01:04

Social Facilitation

31.8K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
31.8K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

40
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
40
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data01:16

Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data

113
Statistical inference techniques, paramount in hypothesis testing, differentiate into two broad categories: parametric and nonparametric statistics.
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
113
Response Surface Methodology01:16

Response Surface Methodology

89
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
89
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Reply to Górski et al.: Polarization requires opinions, not just negative ties.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Effects of heatwaves on emergency medical service activity in Vienna: a 4-year analysis.

Scientific reports·2026
Same author

Adaptive self-organization of global swidden forests.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Supply chain network rewiring dynamics at the firm level.

PNAS nexus·2026
Same author

Inferring firm-level supply chain networks with realistic systemic risk from industry sector-level data.

Scientific reports·2026
Same author

Empirical Validation of the Polarization Transition in a Double-Random Field Model of Elections.

Physical review letters·2026

Related Experiment Video

Updated: Jun 4, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K

Evidence-based policy-making in sports funding using a data-driven optimization approach.

Jan Hurt1, Liuhuaying Yang1, Johannes Sorger1

  • 1Complexity Science Hub, Vienna, Austria.

Plos One
|December 31, 2024
PubMed
Summary

Optimally allocating government funds to sports clubs, considering regional socio-economic factors, can significantly boost children

More Related Videos

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

7.9K
A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

14.4K

Related Experiment Videos

Last Updated: Jun 4, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K
An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
06:52

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

7.9K
A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

14.4K

Area of Science:

  • Sports Science
  • Public Policy
  • Economics

Background:

  • Regular physical activity is crucial for child development, with sports clubs playing a key role in promoting exercise.
  • Public subsidies have been shown to increase sports club participation, but their effectiveness varies based on factors like location and socio-economic conditions.

Purpose of the Study:

  • To develop and evaluate a data-driven simulation model for optimizing government funding allocation to sports clubs.
  • To maximize children's access to sports facilities through strategic financial investment.

Main Methods:

  • Compiled a dataset of 1,854 Austrian football clubs, including budget, location, membership, and age demographics.
  • Developed a simulation model incorporating a sublinear relationship between club budget and membership, influenced by socio-economic factors.
  • Evaluated various funding strategies, comparing an optimization approach with a naive distribution method.

Main Results:

  • Identified a sublinear relationship between sports club budgets and active members, modulated by local socio-economic conditions.
  • The optimization strategy, which tailors funds to regional socio-economic characteristics and club budgets, increased child participation by up to 117% compared to a naive approach, using an additional 5 million euros.

Conclusions:

  • Evidence-based, individualized public funding strategies significantly enhance the impact of subsidies on children's sports club participation.
  • Tailoring financial support to regional socio-economic contexts and club-specific needs is key to maximizing public investment in youth sports.