Sentence examples for collaborate and share knowledge from inspiring English sources
An organization's culture, for instance, can frame how people make decisions, collaborate, and share knowledge.
It also creates meaningful pathways between the MIT community and the growing financial inclusion entrepreneurship community in Sub-Saharan Africa to engage, collaborate, and share knowledge.
Since then, similar facilities have been placed in Norway, South Africa, Ghana, Kenya, Iceland, Australia, Japan, New Zealand, Europe, the United States, and elsewhere — building a global community of people who want to collaborate and share knowledge.
So (for example) we need to collaborate and share knowledge better, but it's not about the technology.
Agents were supposed to relocate when sensing danger or suspicious activity, clone for redundancy or replacement, operate autonomously and asynchronously from where created, collaborate and share knowledge, and be self organizing.
The number of responding agencies increases as the unrest or eruptive period continues, and they need to collaborate and share knowledge to effectively respond in a crisis that creates multiple, diverse consequences.
And, to collaborate across sectors and share knowledge and skills, Labour will encourage secondments between the civil service and voluntary sector in government.
Indeed, this breakthrough in people-to-people and application-to-application connectivity produced, in short order, six more flatteners -- six new ways in which individuals and companies could collaborate on work and share knowledge.
He urged patients to educate themselves and share knowledge with one another, and urged doctors to collaborate with patients rather than command them.
These network analyses describe the extent to which scientists modelling resistance evolution collaborate and share their knowledge (Figure 1).
The problems of integrating the semantic Web and enabling Things to collaborate and use public and shared knowledge (ontologies, knowledge base) are still active areas of research, as well as adaptation to unknown cases (overloaded network, breakdowns, transient errors, etc).
