The deadline to submit a paper to the second issue of the ITU Journal, dedicated to the theme ‘Data for Good’, has been extended to 30 July 2018.
The first issue of the ITU Journal forecasts the impact of Artificial Intelligence on ICT networking. The second will share a strong bond with the first, investigating the data dimensions of modern economies and where innovation can ensure that data proves a force for good.
Researchers preparing submissions to the second issue of the ITU Journal are encouraged to consult the Call for Papers.
The second issue of the ITU Journal will share insight into the increasing sophistication of techniques to exchange and analyze data. Researchers are encouraged to highlight where data will support citizen-centric public services, bring more automation and intelligence to industry, and accelerate progress towards the United Nations Sustainable Development Goals.
Advances in data science are breaking new ground in research and sustainable development. But excitement about the new opportunities appearing on the horizon is tempered with concern.
Debates around data governance and its implications for society continue to raise important questions with respect to the privacy and security of data; how data is generated, labelled and collected; and whether or not the data at our disposal can be trusted.
The second issue of the ITU Journal will seek out answers to these questions in view of their technical considerations as well as their relationship with policy, regulation, business, law and ethics.
The issue welcomes six Guest Editors (biographies):
The peer-reviewed ITU Journal: ICT Discoveries publishes original research on technical innovation in ICT and associated transformations in business, governance and society.
ITU Academia membership grants access to all areas of ITU work for a single membership fee. Researchers participate alongside policymakers and industry-leading engineers in ITU expert groups responsible for radiocommunication, standardization and development.
The ITU Kaleidoscope series of academic conferences encourages dialogue between research communities and ICT standards developers. Kaleidoscope 2018: Machine learning for a 5G future will be held in Santa Fe, Argentina, 26-28 November 2018, hosted by the Universidad Tecnológica Nacional. A Call for Kaleidoscope Papers invites submissions until 25 June 2018.
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