Digital Economy and Social Security Observatory
The Digital Economy will profoundly transform our daily life, how we work and how we live.
The Observatory will provide ISSA members with an understanding of the opportunities and the challenges it will present to social security administrations.
It will look at this transformation from two angles: the changing environment in which social security institutions evolve and how Social Security institutions themselves will be impacted and can respond to these challenges.
The ISSA has grouped the multitude of topics that are linked to the digital economy and its impact on social security.
This ‘look into the future’ is supported by the ISSA Technical Commissions, findings from ISSA conferences and events, member surveys, good practices, literature reviews, research and input by external experts.
How will the digital economy change the environment for social security?
How will the digital economy impact social security administrations?
(Click on a title to see a full description of the topic)
International Social Security Review (Dec 2016) "there are significant trends occurring across three major pillars of public administration, namely social investment (policy), nudge (process) and predictive analytics (technology). These trends, when considered together, provide the inspiration for a new approach within social security administration, the digital nudge, for improved social outcomes."
Bain & Company (February 2018) Demographics, automation and inequality have the potential to dramatically reshape our world in the 2020s and beyond. Our analysis shows that the collision of these forces could trigger economic disruption far greater than we have experienced over the past 60 years (see Figure 1). The aim of this report by Bain's Macro Trends Group is to detail how the impact of aging populations, the adoption of new automation technologies and rising inequality will likely combine to give rise to new business risks and opportunities. These gathering forces already pose challenges for businesses and investors. In the next decade, they will combine to create an economic climate of increasing extremes but may also trigger a decade-plus investment boom.
Le Temps (22.03.2018) La plateforme de transport se dit prête à améliorer la couverture sociale de ses utilisateurs-chauffeurs. Le SECO considère qu’ils sont des employés, alors que le Conseil fédéral envisage un statut hybride, entre salariés et indépendants
Digital News Asia (18.03.2018) Individuals at all levels will need to actively develop their skills and stay relevant. Many sectors being reshaped by technology, creating new roles and different demands
mckinsey.com (January 2018) As countries have joined together on a path toward increased cooperation and action on migration, investment in data will be crucial for its success.
Le Temps (18.03.2018) Ces prochaines années, les robots vont prendre une place considérable dans un monde du travail bouleversé. «Le Temps» a sondé trois experts, qui imaginent chacun à leur façon un nouveau paradigme qui questionne notre relation à l’emploi
ILO Blog (13.03.2018) The premise of occupational safety and health – my field of specialization — is that work should do no harm to health and in the best of worlds, should support it. But discerning whether technology and new forms of work are doing harm or doing good can often be tricky.
Part of the government’s role is to provide social protection for factors that make people vulnerable. For example, people face unemployment, health problems, and other factors that create physical, economic, and other problems in their lives. Government regulations work to reduce risks that make people vulnerable. When people face problems, public-sector social programs such as health insurance, social welfare, and others provide help. Here’s how the Internet of Things (IoT) could help government agencies manage social protection programs more easily and effectively.
Development Pathways (08.02.2018) Get your inner nerd out! The World Bank has launched a competition to help them better predict a households’ poverty status based on easy-to-collect information and machine learning algorithms.
scroll.in (24.02.2018) Exclusion can mean lack of access to food, jobs and education and the underprivileged bear the biggest brunt.