Details
| Original language | English |
|---|---|
| Title of host publication | Linking Theory and Practice of Digital Libraries |
| Subtitle of host publication | 28th International Conference on Theory and Practice of Digital Libraries, TPDL 2024, Proceedings |
| Editors | Apostolos Antonacopoulos, Annika Hinze, Nicholas Vanderschantz, Benjamin Piwowarski, Mickaël Coustaty, Giorgio Maria Di Nunzio, Francesco Gelati |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 41-61 |
| Number of pages | 21 |
| ISBN (electronic) | 978-3-031-72437-4 |
| ISBN (print) | 9783031724367 |
| Publication status | Published - 26 Sept 2024 |
| Event | 28th International Conference on Theory and Practice of Digital Libraries, TPDL 2024 - Ljubljana, Slovenia Duration: 24 Sept 2024 → 27 Sept 2024 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 15177 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
One way of determining the reputation of a scientist is by assessing the portfolio of their publications in peer-reviewed journals and conferences. However, this reputation is an incomplete measure of achievement and creates a variety of misaligned incentives that negatively influence the scientific process and cause an increased distribution of low-quality research content. In this paper, we point out some current problems in the scientific process, how they are linked to the behavioral patterns of optimizing bibliographic metrics, and present a possible solution in the form of a reputation token system. The solution is characterized by a token economy with mechanisms to create stronger incentives for high-quality contributions and deter fraud. We provide a prototypical implementation of the reputation token as a smart contract for the Ethereum blockchain with a user interface and network visualization.
Keywords
- Blockchain, Incentive Systems, Reputation Systems, Scientometrics, Tokenomics
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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Linking Theory and Practice of Digital Libraries : 28th International Conference on Theory and Practice of Digital Libraries, TPDL 2024, Proceedings. ed. / Apostolos Antonacopoulos; Annika Hinze; Nicholas Vanderschantz; Benjamin Piwowarski; Mickaël Coustaty; Giorgio Maria Di Nunzio; Francesco Gelati. Springer Science and Business Media Deutschland GmbH, 2024. p. 41-61 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15177 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A Reputation System for Scientific Contributions Based on a Token Economy
AU - Bless, Christof
AU - Denzler, Alexander
AU - Karras, Oliver
AU - Auer, Sören
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/9/26
Y1 - 2024/9/26
N2 - One way of determining the reputation of a scientist is by assessing the portfolio of their publications in peer-reviewed journals and conferences. However, this reputation is an incomplete measure of achievement and creates a variety of misaligned incentives that negatively influence the scientific process and cause an increased distribution of low-quality research content. In this paper, we point out some current problems in the scientific process, how they are linked to the behavioral patterns of optimizing bibliographic metrics, and present a possible solution in the form of a reputation token system. The solution is characterized by a token economy with mechanisms to create stronger incentives for high-quality contributions and deter fraud. We provide a prototypical implementation of the reputation token as a smart contract for the Ethereum blockchain with a user interface and network visualization.
AB - One way of determining the reputation of a scientist is by assessing the portfolio of their publications in peer-reviewed journals and conferences. However, this reputation is an incomplete measure of achievement and creates a variety of misaligned incentives that negatively influence the scientific process and cause an increased distribution of low-quality research content. In this paper, we point out some current problems in the scientific process, how they are linked to the behavioral patterns of optimizing bibliographic metrics, and present a possible solution in the form of a reputation token system. The solution is characterized by a token economy with mechanisms to create stronger incentives for high-quality contributions and deter fraud. We provide a prototypical implementation of the reputation token as a smart contract for the Ethereum blockchain with a user interface and network visualization.
KW - Blockchain
KW - Incentive Systems
KW - Reputation Systems
KW - Scientometrics
KW - Tokenomics
UR - http://www.scopus.com/inward/record.url?scp=85206087357&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-72437-4_3
DO - 10.1007/978-3-031-72437-4_3
M3 - Conference contribution
AN - SCOPUS:85206087357
SN - 9783031724367
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 41
EP - 61
BT - Linking Theory and Practice of Digital Libraries
A2 - Antonacopoulos, Apostolos
A2 - Hinze, Annika
A2 - Vanderschantz, Nicholas
A2 - Piwowarski, Benjamin
A2 - Coustaty, Mickaël
A2 - Di Nunzio, Giorgio Maria
A2 - Gelati, Francesco
PB - Springer Science and Business Media Deutschland GmbH
T2 - 28th International Conference on Theory and Practice of Digital Libraries, TPDL 2024
Y2 - 24 September 2024 through 27 September 2024
ER -