Rens van de Schoot

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Utrecht University

Netherlands

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About

Rens van de Schoot is an Assistant Professor at Universiteit Utrecht in the Netherlands. His research focuses on the intersection of artificial intelligence and systematic reviews, as evidenced by his recent articles that explore AI-based research environments, machine learning optimization in medical guidelines, and the effects of active learning models on literature screening. Additionally, he investigates the long-term psychological impacts of serious injuries and conducts cross-national analyses on environmental concern metrics.

Recent Grants

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Integrating background knowledge about traumatic stress experienced after trauma into statistical models assessing individual change over time

Open Date: 2012-01-01

Close Date: 2015-12-01

Articles (18)

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Collaborators (10)

Felix Weijdema

Utrecht University

NETHERLANDS

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Mirjam van Zuiden

Utrecht University

NETHERLANDS

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Duco Veen

Assistant professor

University Medical Center Groningen

NETHERLANDS

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Sarah Depaoli

Associate Professor

University of California Merced

UNITED STATES

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Daniel Oberski

Full professor

NETHERLANDS

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Miranda Olff

Professor

NETHERLANDS

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Frans Folkvord

Tilburg University

NETHERLANDS

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Mahlet Tadesse

Professor & Chair

Georgetown University

UNITED STATES

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Ruth King

University of Edinburgh

UNITED KINGDOM

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Yongchao Ma

University of Michigan

UNITED STATES

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Rens van de Schoot

Research Interests

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About

Recent Grants

Articles (18)

Mode 3 knowledge production and exchange processes of research and innovation networks in AI-based research environments

ASReview LAB v.2: Open-source text screening with multiple agents and a crowd of experts

Visual design effects in a cross-national context: Are Indian and US respondents differently affected by the number of text boxes?

Long-term PTSD prevalence and associated adverse psychological, functional, and economic outcomes: a 12–15 year follow-up of adults with suspected serious injury

Machine learning to optimize literature screening in medical guideline development

Impact of Active learning model and prior knowledge on discovery time of elusive relevant papers: a simulation study

Reproducibility and Data Storage for Active Learning-Aided Systematic Reviews

A Bilingual Dataset for Testing Web Probing in the US and India: The Example of Measures of Environmental Concern

Revolutionizing systematic reviews: the ASReview project's call for trust and transparency in AI-aided screening tools

Sex-differential PTSD symptom trajectories across one year following suspected serious injury

Testing ANOVA Replications by Means of the Prior Predictive p-Value

An open source machine learning framework for efficient and transparent systematic reviews

Bayesian statistics and modelling

Prevalence and course of posttraumatic stress disorder symptoms in partners of burn survivors

How do included and excluded students with SEBD function socially and academically after 1,5 year of special education services?

People management: developing and testing a measurement scale

Predicting a Distal Outcome Variable From a Latent Growth Model: ML versus Bayesian Estimation

Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review

Collaborators (10)

Felix Weijdema

Mirjam van Zuiden

Duco Veen

Sarah Depaoli

Daniel Oberski

Miranda Olff

Frans Folkvord

Mahlet Tadesse

Ruth King

Yongchao Ma

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