Funding Social Protection from Data After COVID-19: Potential Contribution of the Right to Benefit from Scientific Progress

Jayson S. Lamchek ()
Additional contact information
Jayson S. Lamchek: ANU College of Law

A chapter in Community Empowerment, Sustainable Cities, and Transformative Economies, 2022, pp 571-585 from Springer

Abstract: Abstract The paper engages the challenge of expanding social protection after Covid-19 by examining new ideas about funding universal social protection from data. It argues that thinking about the right to benefit from scientific progress (RBSP) in the digital age can have important implications for articulating and understanding the economic fairness issue in the wealth accumulation of Big Tech through Big Data. The paper introduces the need for rebuilding social protection by discussing how the socio-economic crisis brought by COVID-19 put a spotlight on social protection. It then surveys and examines policy-relevant literature that proposes feasible measures for radically expanding social protection post-pandemic, highlighting specifically novel measures that call for taxation of data to fund expanded social protection. The paper then discusses how a human rights approach based on RBSP extends the human rights argument for social protection floors and tax reform. It concludes that RBSP can help articulate novel measures for funding social protection from data.

Keywords: Social protection; Right to benefit from scientific progress; Big Data; Human rights; Pandemic (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-5260-8_31

Ordering information: This item can be ordered from
http://www.springer.com/9789811652608

DOI: 10.1007/978-981-16-5260-8_31

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().