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Scientific Workflow

Chris Reudenbach

framing the research problem

Foundations

theory, domain context

Research Questions

precise, testable, scoped

State of the Art

knowns, gaps, hypotheses

finding and evaluating the solution

Necessary Methods

data, preprocessing, validation, metrics, models, tuning, ablations

Applied Solution Path

implementation & assumptions

Results

findings, uncertainty, limitations

reflecting and improving

Loopback, Evaluation & Improvement

error analysis, robustness checks, iteration