Sentence examples for data-driven analyses from inspiring English sources

He travels the United States meeting the poor, whose wrenching tales he inserts in tight vignettes among data-driven analyses and acute dissections of government programs.

Methodologically, our study defines and implements a data-driven analyses and visualization of CNs in high clockspeed industries.

Russell conducts a comparative network analysis of institutional and personal relationships among business entities, using multiple, exploratory, and data-driven analyses of the three metropolitan areas in the United States: Austin, Texas Metropolitan Area; the Minneapolis/St.

To explore the relationship dimension of spatially defined innovation ecosystems, we conducted a comparative network analytic study of institutional and personal relationships among business entities, using multiple, exploratory, data-driven analyses of three metropolitan areas: (1) the Austin, Texas Metropolitan Area; (2) the Minneapolis/St.

While this is but one possible explanation among many, and a more rigorous analysis is required to support any definitive claim, this example illustrates the ways in which novel hypotheses can derive from data-driven analyses of political and sociological phenomena.

Presentation of the data-driven analyses, led by my longtime friend and colleague James V. Koch of Old Dominion University, underscores a slow rebound from the Great Recession while warning of further losses in downsizing the military.

Both model-based and data-driven connectivity analyses, as well as sensitivity to non-spatial vs spatial stimuli provide evidence for an anterior-lateral and a PM localisation of the homologues of the rodent LEC and MEC, respectively.

While the Guardian works on a wider data-driven project analysing the causes and consequences of the England riots, the court list has been removed from public view.

With the data-driven model, parametric analyses were made to investigate the performance of the RHMX under different operating conditions.

As the amount of large-scale public data continues to grow, such data-driven in silico analyses are becoming increasingly important and provide a complementary methodology to traditional hypothesis-driven research.

Herein, have sought to link two classes of studies, namely data-driven, pattern-oriented analyses of high-content datasets [27], [28], [29], [30] and mechanism-based computational modeling [17], [18], [19], [21], in order to gain quantitative, mechanistic insights into the complexity of acute inflammation [31], [32], [33].