The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Can decentralized science help tackle the deterioration in working conditions in academia?
Abstract
Academic staff’s working conditions have been deteriorating for years. In particular, the reduced availability of both research funding and permanent research positions has continuously led to insidious competition and intense stress among academics. Whereas governing bodies have made significant attempts to narrow pervasive social inequalities in the distribution of research funding within the scientific community, they have not truly taken into account the importance of the academics’ overall well-being in the development of more sustainable financing of academic researchers. This originates not only from the complexity to develop comprehensive models reflecting staff’s overall well-being in the academic environment, but also from the limited access to reliable and immutable data that transparently account for the staff’s direct experience. In this context, blockchain technology can push further the use of more transparent survey data collection and record-keeping that can help mitigate the systematic bias inherent to the centralized nature of traditional auditing. We discuss how research institutions and governing bodies can build on blockchain technology and the early momentum generated by the decentralized science (DeSci) movement to implement the future-proof research funding chain that values overall well-being across academia in a transparent and coordinated way.
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DAO have been proposed as frameworks to enhance governance, transparency, and collaboration in science.
“DAO have been proposed as frameworks to enhance governance, transparency, and collaboration in science (Introna, 2016;Sicard, 2022).”
From Exploring the decentralized science ecosystem: insights on organizational structures, technologies, and funding (2025) · cites this paper as Sicard, 2022
The dual approach of seeking both decentralized funding sources and traditional government grants reflects the hybrid nature of DeSci, which operates at the intersection of traditional and decentralized scientific models.
“This dual approach of seeking both decentralized funding sources and traditional government grants reflects the hybrid nature of DeSci, which operates at the intersection of traditional and decentralized scientific models (Sicard, 2022).”
From Exploring the decentralized science ecosystem: insights on organizational structures, technologies, and funding (2025) · cites this paper as Sicard, 2022
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Cites
Toward an ontology‐driven blockchain design for supply‐chain provenance
Kim, H. M., & Laskowski, M. (2018) · Intelligent Systems in Accounting, Finance and Management · doi:10.1002/isaf.1424 · Cited by 652 · cited 1×
“Potential use cases for blockchain have now spread far beyond the sole cryptocurrency domain initiated by bitcoin in 2008 (Nakamoto, 2008), including manufacturing supply chain management (Kim and Laskowski, 2018), digital identity (Zwitter et al.”
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Research works printed but not linked: 27
- Adamo, 2013, Attrition of women in the biological sciences: Workload, motherhood, and other explanations revisited, BioScience, 63, 43., 10.1525/bio.2013.63.1.9 · DOI
- Amabile, 1996, Creativity in context: Update to the social psychology of creativity
- Casino, 2019, A systematic literature review of blockchain- based applications: Current status, classification and open issues, Telemat. Inf., 36, 55, 10.1016/j.tele.2018.11.006 · DOI
- Charles, 2019, Blockchain compliance by design: Regulatory considerations for blockchain in clinical research, Front. Blockchain, 2, 18, 10.3389/fbloc.2019.00018 · DOI
- Coelho, 2019, Decentralising scientific publishing: Can the blockchain improve science communication?, Mem. Inst. Oswaldo Cruz, 114, e190257, 10.1590/0074-02760190257 · DOI
- Fathima, 2020, Challenges and coping strategies faced by female scientists—A multicentric cross sectional study, PLoS ONE, 15, e0238635, 10.1371/journal.pone.0238635 · DOI
- Finck, 2018, Blockchains and data protection in the European Union, Eur. Data Prot. Law Rev., 4, 17, 10.21552/edpl/2018/1/6 · DOI
- Finck, 2020, They who must not be identified—Distinguishing personal from non-personal data under the gdpr, Int. Data Priv. Law, 10, 11, 10.1093/idpl/ipz026 · DOI
- Gewin, 2022, Has the great resignation hit academia?, Nature, 606, 211, 10.1038/d41586-022-01512-6 · DOI
- Hamburg, 2021, Call to join the decentralized science movement, Nature, 600, 221, 10.1038/d41586-021-03642-9 · DOI · Paper page
- Holligan, 2011, Measuring academic research performance through audit at the expense of trust: Exploring the 21st Century University, Bord. Crossing, 1, 49, 10.33182/bc.v1i1.521 · DOI
- Jarvis, 2022, Cypherpunk ideology: Objectives, profiles, and influences (1992–1998), Internet Hist., 6, 315, 10.1080/24701475.2021.1935547 · DOI
- Lauer, 2021, Inequalities in the distribution of national institutes of health research project grant funding, eLife, 10, e71712, 10.7554/elife.71712 · DOI
- Lauer, 2017, The next generation researchers initiative at nih, Proc. Natl. Acad. Sci. U. S. A., 114, 11801, 10.1073/pnas.1716941114 · DOI
- Morrow, 2019, Blockchain and the tokenization of the individual: Societal implications, Future Internet, 11, 220, 10.3390/fi11100220 · DOI
- Newsome, 2008, The Chemistry PhD: The impact on women’s retention
- Pichon, 2021, Funding a more equitable research community, Nat. Chem., 13, 387, 10.1038/s41557-021-00703-4 · DOI
- Poblet, 2020, From athens to the blockchain: Oracles for digital democracy, Front. Blockchain, 3, 575662, 10.3389/fbloc.2020.575662 · DOI
- 2018, Diversity landscape of the chemical sciences: A report by the
- Ruggeri, 2020, Well-being is more than happiness and life satisfaction: A multidimensional analysis of 21 countries, Health Qual. Life Outcomes, 18, 192, 10.1186/s12955-020-01423-y · DOI · Paper page
- Treleaven, 2017, Blockchain technology in finance, Computer, 50, 14, 10.1109/mc.2017.3571047 · DOI
- Vigliotti, 2021, What do we mean by smart contracts? Open challenges in smart contracts, Front. Blockchain, 3, 553671, 10.3389/fbloc.2020.553671 · DOI
- Wang, 2019, A summary of research on blockchain in the field of intellectual property, Procedia Comput. Sci., 147, 191, 10.1016/j.procs.2019.01.220 · DOI
- Weziak-Bialowolska, 2021, Psychometric properties of flourishing scales from a comprehensive well-being assessment, Front. Psychol., 12, 652209, 10.3389/fpsyg.2021.652209 · DOI
- Woelfle, 2011, Open science is a research accelerator, Nat. Chem., 3, 745, 10.1038/nchem.1149 · DOI
- Zheng, 2017, An overview of blockchain technology: Architecture, consensus, and future trends, IEEE Int. Congr. Big Data (BigData Congress), 557, 10.1109/BigDataCongress.2017.85 · DOI · Paper page
- Zwitter, 2020, Digital identity and the blockchain: Universal identity management and the concept of the ”self-sovereign” individual, Front. Blockchain, 3, 26, 10.3389/fbloc.2020.00026 · DOI
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Díaz, F., Menchaca, C., & Weidener, L. (2025) · Frontiers in Blockchain · doi:10.3389/fbloc.2025.1524222 · Cited by 8
Metadata
- Authors
- Sicard, F.
- Venue
- Frontiers in Blockchain
- Publisher
- Frontiers Media SA
- Published
- 2022-11-11
- Volume
- 5
- ISSN
- 2624-7852
- Cited by
- 6
- References
- 1
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