Sentence examples for shared aggregate from inspiring English sources

In both embedded and non-embedded conditions, students collected earthquake data and contributed to shared aggregate representations of earthquake magnitudes and locations.

Given such patients' shared, aggregate needs for societal support and access to medical innovation, they constitute "patient communities".

Such a prosocial system is ethically premised on the recognition of patients' shared, aggregate needs for societal support and access to medical innovation.

A prosocial system is ethically premised on the recognition of patients' shared, aggregate needs for societal support, entailing the ethical importance and indeed essentialness of the concept of a community of patients.

Indeed, if the concept of shared, aggregate needs, and a correspondingly shared, aggregate claim on societal resources, is not merely to remain an abstraction, members of the patient community cannot be indifferent to each other's well-being, or to the resources and accessibility of a system which aims to collectively maximize quality of life in the face of the diseases from which they all suffer.

Her skits were shared, aggregated, copied, and blogged about.

Mozilla, however, will only share aggregate reports and no personal data from its users.

Equity allows a firm to share aggregate risks with creditors, minimizing the vulnerability in distress during downturns (Gertler and Hubbard 1993).

Waze, which has a lot less to lose than Airbnb, chose to share aggregate, anonymized driver data with Los Angeles Mayor Eric Garcetti's administration to design better traffic flows.

In addition to trainings, agencies providing substance use prevention services should consider developing or strengthening mechanisms to share aggregate findings across youth so that staff can recognize incremental, positive gains attributed to prevention services.

HeyWire would then share aggregate, anonymized data with their partners detailing the trends around the content in BNDWGN – e.g., what was shared, how did people react, etc. "We see this as a new level of sentiment analysis," says Flynn-Ripley.