Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Randomized Experiments

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...

Experimental Designs

Experimental Designs

An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...

Econometric Views (EViews)

Econometric Views (EViews)

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...

Data Collection by Experiments

Data Collection by Experiments

Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...

Steps in Outbreak Investigation

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:

Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

You might also read

Related Articles

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

Sort by

Same author

Identifying selection signatures associated with production traits in Matou goats using whole-genome sequencing.

Journal of animal science·2026

Same author

Cardiac autonomic ganglion ablation for refractory coronary artery spasm after PCI: a case report.

Frontiers in cardiovascular medicine·2026

Same author

Relationship between talar dome osteochondral lesions and medial malleolus fractures, and their diagnostic significance for occult medial malleolus fractures.

BMC musculoskeletal disorders·2026

Same author

Impact of enlarged perivascular spaces on endovascular therapy outcomes in patients with large ischaemic core: A post-hoc analysis of the ANGEL-ASPECT trial.

Journal of translational internal medicine·2026

Same author

Waterproof and Breathable Polyurethane Membranes with Self-Healing and Self-Cleaning Properties: Synergistic Enhancement by Polydimethylsiloxane and Phenolic Carbamate Network and Photocatalytic Effect.

Polymers·2026

Same author

When does perceived overqualification enhance civil servants' work engagement? The role of public service motivation and ethical leadership.

Acta psychologica·2026

Search research articles

Related Experiment Video

Updated: Sep 6, 2025

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

Forecasting elections with agent-based modeling: Two live experiments.

Ming Gao^1,2, Zhongyuan Wang^1,2, Kai Wang³

¹Center for Complex Decision Analysis, Fudan University, Shanghai, China.

|June 30, 2022

Summary

This study introduces a novel agent-based modeling (ABM) platform for election forecasting, independent of traditional surveys. The objective ABM approach accurately predicted recent elections, offering a new method for election analysis.

More Related Videos

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Related Experiment Videos

Last Updated: Sep 6, 2025

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

The HoneyComb Paradigm for Research on Collective Human Behavior

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Area of Science:

Computational Social Science
Political Science
Data Science

Background:

Traditional election forecasting relies heavily on subjective surveys and polls.
Existing methods lack objectivity and may not fully capture complex voter behaviors.

Purpose of the Study:

To develop and validate a novel, objective election forecasting platform using agent-based modeling (ABM).
To demonstrate the efficacy of ABM in predicting election outcomes independently of survey data.

Main Methods:

Developed an agent-based modeling (ABM) platform for election forecasting.
Utilized statistical results from objective data and simulation models to replicate historical voting patterns.
Screened models for accuracy against historical election results.
Forecasted upcoming elections using validated models combined with demographic and updated economic data.

Main Results:

The ABM platform successfully forecasted the 2020 general election in Taiwan.
The platform also accurately predicted outcomes in six US states during the 2020 general election.
The objective ABM method demonstrated high fidelity in real-time election forecasting.

Conclusions:

Agent-based modeling (ABM) offers a robust, objective alternative to traditional survey-based election forecasting.
This novel platform has the potential to transform the field of election forecasting and analysis.
The ABM approach provides a data-driven method for understanding and predicting voter behavior.