Concepts

A framework that attempts to falsify conceptual hypotheses while accounting for measurement and prior uncertainty using Bayesian methods

Interpretability method that quantifies the contribution of each feature to machine learning model predictions using game theory

A practice of guided meditation that is intended to lead to insight through open-minded observation of the natural world

The relationship between thermochronologic ages and sample elevation used to calculate exhumation rates

Interdisciplinary partnerships between artists and scientists that create new works and approaches that would not be possible without the collaboration

Process of confirming that a physiological assay accurately reflects the biological process it claims to measure through controlled experiments

Scientific research conducted in whole or in part by amateur or nonprofessional scientists

Automated system for retrieving, normalizing, and processing heterogeneous environmental data with real-time web interface access

Intentional co-development of observation and modeling strategies across scales to enhance two-way exchange of information between models and data analytics to address science questions about watershe...

A metric that defines various degrees of coalitionary behavior as a continuous function of a species' possessing 1-3 of the following traits: mutual tolerance, collaboration, and partner preference

Experimental design where seeds from broad elevational gradient planted into four common gardens in four treatments

Educational pathway where students begin at 2-year community colleges and transfer to 4-year institutions

Relationships that link chemical reactions and transport using flow, transport, and reaction parameters

Spatial information modeling patterns such as shape and texture through correlation between adjacent pixels to account for spectral variability

Statistical relationship between variables does not necessarily imply causal relationship

An approach where an intermediate software maintains a catalog and retrieves data on demand from original sources

A temporary restriction on data access to allow original researchers time to publish their analyses

Software system that provides generic framework for creation of synthesized datasets for use in scientific analysis, modeling, and visualization by connecting to diverse data sources and transforming ...

Standardized workflow for converting raw analytical chemistry data into datasets ready for statistical analysis

Network of spatially distributed sensors for collaborative acoustic monitoring and processing

A globally distributed experimental network that can be used to disentangle the direct and indirect effects of climate change by utilizing natural environmental gradients to better understand long-ter...

Integrated infrastructure dealing with all aspects of sensor-based measurements from data acquisition, curation, quality analysis and control, integration with other data systems, visualization, and d...

Bayesian data assimilation technique using Monte Carlo ensemble to approximate probability distributions for parameter estimation

Statistical methods for extrapolating rare event magnitudes from historical data

A worker can reasonably and informedly expect to come home without harm to their physical or emotional well-being and that if harm should occur, that a path toward repair is accessible

Solid phase evidence of past biogeochemical processes that can be detected even when the processes are no longer active

Experimental design where subjects are habituated to repeated stimuli from one source then tested with novel stimuli to assess discrimination abilities

Approach combining process-based physical models with empirical statistical relationships

Modeling approach that integrates machine learning with meteorological data, remote sensing, and either flux measurements or mechanistic model outputs

Statistical method using unobserved variables to capture partially unobserved drivers of seasonal population dynamics and environmental effects

A two-stage approach that marginalizes uncertainty from record linkage into downstream modeling tasks by sampling from the posterior linkage structure

Using machine learning algorithms to optimize observation locations by identifying key controls and spatial heterogeneity in ecosystem responses