Sentence examples for data-driven development from inspiring English sources
A senior administration official indicated that Mr. Obama chose him for his data-driven development approach, hands-on experience in developing countries and focus on the world's very poor.
Of course, a data-driven development process removes a crucial element of television production: risk.
"But the larger role of Global Pulse is as a catalyst to foster a data ecosystem for development, bringing together the private sector, universities and governments," said William Hoffman, an associate director who leads the data-driven development program at the World Economic Forum, which has worked with Global Pulse.
CDRs have a wide range of applications beyond billing, from social science to data-driven development.
To allow data-driven development of algorithms for small molecule identification, mass spectrometric reference datasets must be made publicly available via reference databases.
The Global Fishing Watch project stands as a powerful model for data-driven development work done right and hopefully, the rise of notable efforts like it will eventually catalyze the broader development community to emerge from the stone age of technology and more openly embrace the technological revolution.
Perhaps software could be developed that would analyze research histories to help make data-driven collection development decisions or recommend new books and articles to faculty and students.
Pecht and Kumar [25] presented a methodology for data-driven algorithm development.
Figuring out how to create a sensor-laden, data-driven, sustainable development requires big-thinking experts from multiple sectors to work together to break new ground – literally, as well as figuratively.
The theory was that the identification and termination of the bottom-performing 5 to 10percentt of teachers, as well as data-driven professional development, would produce "transformative" change.
This predictive power has made conductance based neuron models the gold standard for data-driven model development in computational neuroscience and recommended them for our purposes.
