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Explore science by method, field & evidence.

One catalogue of research methods — learn how each one works, when to use it, and what it can’t do.

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8,178 methods11 fields7 method families40 languages
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FieldHealth & Medicine716Psychology570Business & Finance410Engineering330Life Sciences263Education261Research Practice
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Entries are compiled from published sources for reference. Verifying the accuracy and suitability of any information for your own use remains your responsibility.

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248
Natural Sciences236
Social Sciences185
Environment & Sustainability160
Law30
MethodStatistics1,836AI & ML1,661Decision Sciences932Research Methods1,354Measurement1,745Causal & Evidence532Research Practice118
4 methods in Engineering · Decision SciencesClear
Methods at the intersection of your two filters.
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environmental engineering

Carbon Footprint Analysis

Carbon footprint analysis quantifies the total greenhouse gas (GHG) emissions—expressed in CO2-equivalent (CO2e)—attributable to an activity, product, organization, or process. Developed from life cycle assessment (LCA) and Intergovernmental Panel on Climate Change (IPCC) methodologies, carbon accounting encompasses di

3 sources1993
electrical engineering

Energy Storage Dispatch Optimization

Energy storage dispatch optimization determines when to charge and discharge battery systems to maximize revenue, minimize grid stress, or support renewable integration. With falling battery costs and increasing variable renewable generation, storage dispatch has become critical for balancing supply and demand in moder

3 sources2000
control theory

Hamilton-Jacobi-Bellman Equation

The Hamilton-Jacobi-Bellman (HJB) equation is a partial differential equation characterizing the optimal cost-to-go function in dynamic programming. Developed by Bellman in 1957, HJB provides both necessary and sufficient conditions for optimality, enabling elegant theoretical analysis and numerical solutions for optim

2 sources1957
electrical engineering

Unit Commitment

Unit Commitment (UC) is the problem of deciding which power generation units should be switched on or off over a planning horizon (typically 24-168 hours) to minimize total operating cost while meeting demand and reserve requirements. Introduced by Baldwin et al. in 1959, UC is a fundamental scheduling problem in power

3 sources1959