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Maybe, Daubechies suggested at the meeting, the foundation should fund not new research but better mechanisms for interpreting existing data.
In both hydrology and geomorphology, conceptualization plays an important role in interpreting existing data, guiding future data collection, and developing models.
This power-sharing approach is consistent with decolonizing methods when working across cultures and goes some way to addressing the dilemma of a researcher from a different cultural background interpreting existing data on 'behalf' of others.
Our data provide guidance for both interpreting existing data from Mars but also for directing the future operation of thermal extraction units by suggesting routes to mitigate any negative effects of sulfate decomposition on organic detection.
We define public health triangulation as the process of reviewing and interpreting existing data and trends in those data from multiple data sources that bear on different facets of a broad public health question in order to identify factors that underlie the observed data and to assist with public health decision-making and actions.
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First, it is difficult to interpret existing data.
Molecular dynamics simulations are useful for interpreting existing experimental data and producing predictions for new experiments.
Exploiting this assumption-driven approach can help both in interpreting existing experimental data and designing future experiments aimed at understanding the brain's myriad learning processes.
This variability limits the ability to compare and interpret existing testing data derived from donor populations that could, in turn, inform decisions regarding optimal assay selection.
In this example, we highlight the success of the triangulation approach in assembling and interpreting diverse existing data sources to provide evidence in support of the underlying cause of the national epidemic trend.
The insights from this computational model could be used to interpret existing experimental impedance control data from the viewpoint of optimality or could even govern the design of future experiments based on principles of internal model uncertainty.
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