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CCSN Research Methodology Workshop: Russell Poldrack , PhD

Wednesday, March 20, 2024 2:30 PM to 4 PM

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Presenting on “The importance of measurement andmodeling for rigorous science”.

Russell Poldrack , PhD, Albert Ray Lang, Professor Department of Psychology at Stanford University will speak on Wednesday March 20, 2024 at 2:30 pm. This seminar is virtual and registration is required to attend virtually.

Abstract: With the advent of powerful machine learning methods and massive datasets, it is easy for researchers to forget that these data are measurements of an underlying reality and that all measurements are subject to both systematic error (bias) and unsystematic measurement error (noise). Understanding the sources of bias and noise are critical to properly modeling the data in order to ensure valid and reliable inferences. I will discuss the fundamental measurement concepts of reliability and validity, along with a causal framework for developing valid statistical models.

Event Details

Event Type

Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology Medicine & Health

Department

Biomedical Engineering

Event Contact

Mimi Hilburg

Speaker Information

Russell A. Poldrack is the Albert Ray Lang Professor in the Department of Psychology atStanford University, Director of the Stanford Center for Open and Reproducible Science, andAssociate Director of Stanford Data Science. He received his PhD from the University of Illinoisat Urbana-Champaign, and did postdoctoral work at Stanford. His research uses neuroimagingto understand the brain systems underlying decision making and executive function. His lab isalso engaged in the development of neuroinformatics tools to help improve the reproducibilityand transparency of neuroscience, including theOpenneuro.org and Neurovault.org datasharing projects and the Cognitive Atlas ontology.

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This seminar is virtual and registration is required to attend virtually.

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About this Event

Virtual Event View stream information

Presenting on “The importance of measurement andmodeling for rigorous science”.

Russell Poldrack , PhD, Albert Ray Lang, Professor Department of Psychology at Stanford University will speak on Wednesday March 20, 2024 at 2:30 pm. This seminar is virtual and registration is required to attend virtually.

Abstract: With the advent of powerful machine learning methods and massive datasets, it is easy for researchers to forget that these data are measurements of an underlying reality and that all measurements are subject to both systematic error (bias) and unsystematic measurement error (noise). Understanding the sources of bias and noise are critical to properly modeling the data in order to ensure valid and reliable inferences. I will discuss the fundamental measurement concepts of reliability and validity, along with a causal framework for developing valid statistical models.