QR Kodea

A Position Statement on Population Data Science:

Information is increasingly digital, creating opportunities to respond to pressing issues about human populations in near real time using linked datasets that are large, complex, and diverse. The potential social and individual benefits that can come from data-intensive science are large, but raise...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Kim McGrail, Kerina Jones, Ashley Akbari, Tell Bennett, Andrew Boyd, Fabrizio Carinci, Xinjie Cui, Spiros Denaxas, Nadine Dougall, David Ford, Russell S Kirby, Hye-Chung Kum, Rachael Moorin, Ros Moran, Christine O'Keefe, David Preen, Hude Quan, Claudia Sanmartin, Michael Schull, Mark Smith, Christine Williams, Tyler Williamson, Grant Wyper, Milton Kotelchuck
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Swansea University 2018-02-01
Saila:International Journal of Population Data Science
Gaiak:
Sarrera elektronikoa:https://ijpds.org/article/view/415
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!