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ReScience C

A Julia replication of chaotic dynamics in a three-species food-chain model.

Investigate Which finite-time trajectory and invariant summaries remain stable under step-size refinement?

ReScience C

A Python/Brian 2 replication of a basal-amygdala network model addressing context-dependent fear and extinction memories.

Investigate How sensitive is a prespecified model response contrast to integration resolution and network seed?

ReScience C

A replication of piecewise parametric cubic curve fitting, useful for studying how a geometric approximation is constructed and checked.

Investigate Can the fitting procedure meet a fixed geometric error tolerance on evaluator-generated curves with different curvature?

ReScience C

A reproduction report about evapotranspiration and boreal wildfires, associated with the Ten Years Reproducibility Challenge.

Investigate Which reported statistic can be reconstructed from explicitly versioned, rights-cleared inputs and a documented R environment?

ReScience C

A replication concerning Bayesian transfer learning with informative priors.

Investigate How sensitive are posterior predictive errors to a deliberately misspecified prior under a fixed transfer-data budget?

ReScience C

A replication about reinforcement-learning-based program debloating and its relationship to unit tests and reduction procedures.

Investigate For a benign evaluator-authored toy program, how much reduction is possible without violating a held-out behavioral test suite?

ReScience

A replication of a pituitary-cell conductance model, with uncertainty quantification identified in source keywords.

Investigate Which bursting summary is robust to a prespecified parameter-uncertainty grid and solver refinement?

ReScience C

A replication about automated teaching formulated as planning in a partially observable decision process.

Investigate Can a bounded planner match an exact small-state reference on a fixed teaching objective?

ReScience C

A replication of an agent-based problem-solving model comparing groups with different ability and diversity compositions.

Investigate How often does each group-selection rule perform best across evaluator-generated landscapes and fixed random seeds?

ReScience C

A replication about Hamiltonian generative networks for learning dynamical structure.

Investigate How does long-horizon energy drift compare with trajectory error on a small analytic mechanical system?

ReScience C

A replication of Hamiltonian neural networks, connecting learned dynamics with an energy-based structure.

Investigate How do energy error and state error grow across a fixed extrapolation horizon?

ReScience C

A replication about hierarchical shrinkage as regularization for tree-based predictive methods.

Investigate How do shrinkage strength, prediction error and tree-based explanations vary under nested cross-validation?