Sentence examples for data-driven discussions from inspiring English sources

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The symposium integrates practical career advice with data-driven discussions of gender bias to expand the conversation of gender bias to a larger population.

Some of them — burly men with worn faces and white-haired women with slouched shoulders — told of suffering, and sometimes death, their plain-spoken narratives in sharp contrast to the data-driven discussions of board members.

Raising the research bar on both a quantitative and qualitative level will improve our ability not only to prognosticate but hopefully to have more data-driven discussions with patients and families about mortality and, more importantly, functional and cognitive outcomes.

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Dr. Van Zandt is an academic, not a politician, and has a reputation for driving change through low-key, data-driven discussion and consensus.

Different from the overwhelmingly popular data-driven discussion of knowledge discovery, the current respondents believed that Big Data and data visualization is not the magic wand.

But as we think about the next few years, we need a more data-driven discussion of the role of innovation and entrepreneurship in job creation, about the ideas and approaches we should fund, and how we are going to fund these ideas.

"One was a very data-driven discussion about risks.

The first was that King's effort did little to advance a thoughtful and data-driven discussion about radicalization.

Moderated by New York Times reporter Rachel Swarns, the panelists conducted an interesting, data-driven discussion about why flexibility matters and the very real problems many professional men and women face achieving any kind of work-life "balance".

Consequently, data-driven discussion about the non-inferiority margin after completion of the study is pointless.

To actively stimulate and guide the discussion using data-driven prompts To explore, integrate and contrast interpretations derived from data with participant's experiences and narratives To discuss and evaluate participants' views toward the personal data presented.

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