Data revolution and statistics: reshaping society and science

Khan, Shahjahan ORCID: https://orcid.org/0000-0002-0446-086X and Memon, Muhammed Ashraf (2021) Data revolution and statistics: reshaping society and science. In: 18th International Conference on Statistical Sciences: Using Statistics for Sustainable Development Goals and Human Development, 18-20 Feb 2021, Lahore, Pakistan.


Abstract

Beyond any doubts, the whole world is moving too fast to embrace the artificial intelligence and machine learning technologies to benefit from big data. Consequently, the use of unprecedented volume and intensity of data is becoming more and more an integral part of everyday life of modern science and citizens. The reality is that many of the next generation digital technologies will be data driven, internet dependent and satellite guided. Starting from driver-less vehicles to store-less shopping platforms and delivery of personalised services will be digitised based on data guided evidence. In fact, data revolution is already here, and we are increasingly being exposed to various technologies that are dependent on results from analysis and prediction of data. The role of statistics and computing algorithms in the process are crucial and it will continue to grow. The policymakers in government offices, health services, technology centres and business establishments are moving towards evidence-based decision-making which is predominantly guided by data synthesis and analytics. This paper covers various aspects of data including its dimensions and diversities, sources, owners and methods of analysis, and statistical and computational essence leading to the new paradigm of science, data.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Date Deposited: 01 Jul 2021 05:36
Last Modified: 01 Jul 2021 06:19
Fields of Research (2008): 08 Information and Computing Sciences > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified
01 Mathematical Sciences > 0104 Statistics > 010499 Statistics not elsewhere classified
Fields of Research (2020): 49 MATHEMATICAL SCIENCES > 4905 Statistics > 490599 Statistics not elsewhere classified
46 INFORMATION AND COMPUTING SCIENCES > 4699 Other information and computing sciences > 469999 Other information and computing sciences not elsewhere classified
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
E Expanding Knowledge > 97 Expanding Knowledge > 970101 Expanding Knowledge in the Mathematical Sciences
Socio-Economic Objectives (2020): 22 INFORMATION AND COMMUNICATION SERVICES > 2299 Other information and communication services > 229999 Other information and communication services not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/42625

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