Background Paper for the Digital Development Summit 2017
| dc.contributor.author | Faith, Becky | |
| dc.contributor.author | Hernandez, Kevin | |
| dc.contributor.author | Ramalingam, Ben | |
| dc.date.accessioned | 2017-03-22T11:34:36Z | |
| dc.date.available | 2017-03-22T11:34:36Z | |
| dc.date.issued | 2017-03-01 | |
| dc.identifier.uri | https://opendocs.ids.ac.uk/opendocs/handle/20.500.12413/12877 | |
| dc.description.abstract | How do we ensure no one is left behind in a rapidly digitising world? The Digital Development Summit 2017 is an opportunity to collectively envision how technology might be used to enable fairer wealth distribution and more sustainable livelihoods. The impact of automation and technology on the world of work has received widespread news coverage in recent months. Advances in machine learning and artificial intelligence are enabling headline-grabbing technology such as self-driving trucks, but work is also being transformed in a multiplicity of ways by improvements in efficiency, and by enabling faster and deeper levels of globalisation. | en |
| dc.language.iso | en | en |
| dc.publisher | Institute of Development Studies | en |
| dc.relation.ispartofseries | Background Paper; | |
| dc.rights | This is an Open Access paper distributed under the terms of the Creative Commons Attribution Non Commercial 4.0 International license, which permits downloading and sharing provided the original authors and source are credited – but the work is not used for commercial purposes. http://creativecommons.org/licenses/by-nc/4.0/legalcode | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Technology | en |
| dc.title | Background Paper for the Digital Development Summit 2017 | en |
| dc.type | Other | en |
| dc.rights.holder | Institute of Development Studies | en |
| dc.identifier.team | Digital | en |
| dcterms.dateAccepted | 2017-03-01 | |
| rioxxterms.funder | Default funder | en |
| rioxxterms.identifier.project | Default project | en |
| rioxxterms.version | VoR | en |
| rioxxterms.funder.project | c941507f-fd0b-4fc3-9822-4b2132f61a1d | en |
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Except where otherwise noted, this item's license is described as This is an Open Access paper distributed under the terms of the Creative Commons Attribution Non Commercial 4.0 International license, which permits downloading and sharing provided the original authors and source are credited – but the work is not used for commercial purposes. http://creativecommons.org/licenses/by-nc/4.0/legalcode