Need-driven decision-making and prototyping for DLT: Framework and web-based tool
Tomas Bueno Mom\v{c}ilovi\'c, Matthias Buchinger, Dian Balta

TL;DR
This paper introduces a comprehensive framework and open-source web tool to support evidence-based decision-making and prototyping in distributed ledger technology, aiming to clarify its practical applications amid skepticism.
Contribution
It develops a holistic analytical framework and web tool that guides decision-making and prototyping in DLT through evaluation, elicitation, and design stages, integrating user domain knowledge.
Findings
Framework effectively guides DLT prototyping decisions
Web tool facilitates evidence-based evaluation of DLT options
Application to clinical case demonstrates practical utility
Abstract
In its 14 years, distributed ledger technology has attracted increasing attention, investments, enthusiasm, and user base. However, ongoing doubts about its usefulness and recent losses of trust in prominent cryptocurrencies have fueled deeply skeptical assessments. Multiple groups attempted to disentangle the technology from the associated hype and controversy by building workflows for rapid prototyping and informed decision-making, but their mostly isolated work leaves users only with fewer unclarities. To bridge the gaps between these contributions, we develop a holistic analytical framework and open-source web tool for making evidence-based decisions. Consisting of three stages - evaluation, elicitation, and design - the framework relies on input from the users' domain knowledge, maps their choices, and provides an output of needed technology bundles. We apply it to an example…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDigital Mental Health Interventions · Blockchain Technology Applications and Security · Scientific Computing and Data Management
