Population Data Science: The science of data about people
نویسندگان
چکیده
منابع مشابه
A Position Statement on Population Data Science: The Science of Data about People
Kimberlyn M McGrail1*, Kerina Jones2, Ashley Akbari2, Tellen D Bennett3, Andy Boyd4, Fabrizio Carinci5, Xinjie Cui6, Spiros Denaxas7, Nadine Dougall8, David Ford2, Russell Kirby10, Hye-Chung Kum11, Rachael Moorin12, Ros Moran13, Christine M O’Keefe14, David Preen15, Hude Quan9, Claudia Sanmartin16, Michael Schull17, Mark Smith18, Christine Williams19, Tyler Williamson9, Grant MA Wyper20, and Mi...
متن کاملThe role of data science in encountering COVID-19 pandemic
The COVID-19 pandemic started in China and quickly spread throughout the world. This pandemic has affected the health of millions of people, the global economy and has challenged the majority of scientists and politicians to find effective medical treatments and intelligent policies to reduce the side effects of this pandemic as soon as possible. Technological advancements have enabled us to co...
متن کاملScience and data science.
Data science has attracted a lot of attention, promising to turn vast amounts of data into useful predictions and insights. In this article, we ask why scientists should care about data science. To answer, we discuss data science from three perspectives: statistical, computational, and human. Although each of the three is a critical component of data science, we argue that the effective combina...
متن کاملترجمه و نقد کتاب the justification of science and the rationality of religious belife
چکیده ندارد.
15 صفحه اولDemocratizing data science through data science training.
The biomedical sciences have experienced an explosion of data which promises to overwhelm many current practitioners. Without easy access to data science training resources, biomedical researchers may find themselves unable to wrangle their own datasets. In 2014, to address the challenges posed such a data onslaught, the National Institutes of Health (NIH) launched the Big Data to Knowledge (BD...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Population Data Science
سال: 2018
ISSN: 2399-4908
DOI: 10.23889/ijpds.v3i4.918