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Tools for Robust Science
MIT OpenCourseWare
Platform
· Cambridge, USA
About this course
Graduate-level course (9.401) that examines challenges to the robustness and reliability of modern scientific research—such as irreproducible experiments, biased literature, wasted data, and limited accessibility—and introduces practical tools and frameworks to improve transparency, reproducibility, data sharing, open access, and scientific communication.
Prerequisite Skills
Skills you should have before taking this course
Data Analysis
Statistical Analysis
Research Methodology
Experimental design
Scientific writing
Basic cognitive science
Research design
Basic Statistics
experimental psychology
cognitive science fundamentals
foundations of cognitive science
Skills Gained
Skills you will develop by completing this course
Research Methodology
Scientific reproducibility
FAIR data management
Pre-registration and analysis plans
Open access publishing
Scientific communication
Citation analysis
Research ethics
Experimental design
data management
open science practices
statistical analysis planning
scholarly communication
data sharing
open science
scientific publishing
cognitive science
meta-research
cognitive science research
scientific research methods
research reproducibility
critical analysis of scientific literature
academic publishing