48 Quotes by Tom Golway

  • Author Tom Golway
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    The word visionary has become so overused to the point of irrelevance. We focus on a limited set of techno-celebrities when we need to build collaboration among people with unique life experience who offer diverse thinking for solving society’s big challenges. - Tom Golway

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  • Author Tom Golway
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    As a society we need to reflect on the events to date and realize that it is critical that a vision for the transformation of how we deliver public services is the top issue to be debated in all elections. This vision is needed at all levels of gov't. - Tom Golway

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  • Author Tom Golway
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    When the #COVID19Pandemic is over, the world needs to come together and create a unified vision for public health. What we consider our public health strategy lacks vision, agility and innovation and is in serious need of disruption. The societal pause is an opportunity to develop a new vision that is consistent with the requirements of a hyper-connected mobile society.

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  • Author Tom Golway
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    Hyper-connected is used in the context of the Internet. COVID-19 shows we are hyper-connected in the physical world. COVID-19 is a wake-up call for the world to realize how dependent we are on each other. There will always be winners, but life doesn’t need to be a zero-sum game. - Tom Golway

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  • Author Tom Golway
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    In the post-Covid world, the mathematics of chaos theory will experience a greater relevancy as it is applied across a broader set of science disciplines, especially epidemiology, precision medicine and climate science. - Tom Golway

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  • Author Tom Golway
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    COVID-19 represents the single greatest inflection point that global society has experienced. How we manage through this pandemic and its aftermath will impact the course of humanity for decades to come.

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  • Author Tom Golway
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    An issue with current data science methodologies is that the impact of contextual awareness is underestimated since the problem is much more complex. At times we incorrectly equate correlation with causation based on incomplete data or lack of understanding sensitive dependencies between data sets. - Tom Golway

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