Our vehicles hold a remarkable amount of information, which can be used by digital forensic investigators in the detection of crime.
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Articles on Data
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In the age of AI, people might wonder if there’s anything computers can’t do. The answer is yes. In fact, there are numerous problems that are beyond the reach of even the most powerful computers.
Huge swathes of Africa remain unstudied and their species undocumented.
New data from 2000 through 2019 shows that Ukraine’s human rights record is better than Russia’s – but worse than that of its Western European neighbors.
To understand the potential for machine learning to transform medicine, we must go back to the controversial origins of data use in healthcare
Humans are expert pattern-finders. But artificial intelligence tools are better at trawling through vast data sets to find anything from waste dumps to heat-tolerant corals.
The oldest person in the world, Kane Tanaka of Japan, died in April 2022 at 119 years. The record of Jeanne Calment of France, who died at 122, has stood for almost 25 years. Will it be beaten?
Governments, industrial and development companies and scientists need to take a leading role in finding strategic solutions to the cumulative threats impacting our freshwater ecosystems.
Serena Williams’s investment in a Nigerian digital company shows why the country’s technology sector is attractive.
Even by conservative estimates, Mozambique’s snakebite figures are far higher than previously thought.
A lack of data prevents governments and agri-food organizations from knowing what kinds of supports should be provided to reinvigorate Indigenous agricultural economies.
This isn’t the first time Australians’ Medicare numbers have been exposed.
In the pursuit of efficiency, governments turn to technological solutions, like automated decision-making systems. But these systems are often problematic.
Poor cybersecurity awareness and training of users is one reason for the high incidence of successful cyber-attacks in South Africa.
Emerging platforms are challenging traditional tech giants by giving consumers and workers more power
The way streaming platforms operate is changing to tackle falling subscriptions due to the rising cost of living
Digital twins could be used in the future to predict and influence our behaviour, but this raises concerns about who owns our data and how we can access and control it.
Big data from social media have been revealed as biased, but we should also pay attention to agriculture firms whose play for big data is likely to have detrimental environmental and social impacts.
Why modern science needs more Claude Monets.
Starting in 2023, all research proposals funded by the NIH will need to include a data sharing and management plan. An expert on open science explains the requirements and how they might improve science.
Top contributors
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Co-Founder and Chief Research and Development Officer of the Governance Laboratory (GovLab), New York University
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Associate professor, University of Sydney
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Assistant Professor of Human Development and Family Studies, and Demography, Penn State
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Professor of the Practice of Data Science, Washington University in St Louis
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Associate Professor of Political Science, University of Richmond
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Professor of Economics and Public Policy, ANU College of Arts and Social Sciences, Australian National University
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Stephen Duckett is a Friend of The Conversation.
Honorary Enterprise Professor, School of Population and Global Health, and Department of General Practice, The University of Melbourne
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Data protection and surveillance stream lead, Allens Hub for Technology, Law and Innovation, UNSW Law Faculty, UNSW Sydney
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Professor of Economics, UNSW Sydney
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Professor of Economics, emeritus, Stony Brook University (The State University of New York)
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Director of the International Laboratory of Demography and Human Capital, Russian Presidential Academy of National Economy and Public Administration
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Professor of Higher Education, University of KwaZulu-Natal
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Associate Professor of Political Science, Brock University
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Clinical Senior Research Associate, MRC Epidemiology Unit, University of Cambridge
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Professor of Data Science, University of Adelaide
