arXiv subjects

Valentina Gatteschi

Publications and source records attributed to Valentina Gatteschi.

3 recordsLinked to original sources

arXiv2026

Operationalising DAO Sustainability KPIs: A Multi-Chain Dashboard for Governance Analytics

We present DAO Portal, a production-grade analytics pipeline and interactive dashboard for assessing the sustainability of Decentralised Autonomous Organisations (DAOs) through Key Performance Indicators (KPIs) derived from on-chain governance and token events. Building on our previous work, which defined and validated a multidimensional KPI framework for DAO sustainability, this paper moves from theory to practice by operationalising that framework in software infrastructure designed for finance and FinTech contexts. The system ingests governance and treasury data from major EVM networks, harmonises the outputs, and computes sustainability scores across four dimensions: participation, accumulated funds, voting efficiency, and decentralisation. A composite 0 to 12 score is then derived using transparent thresholds that are applied client-side in the browser. Using a curated snapshot of more than 50 active DAOs covering 6,930 proposals and 317,317 unique voting addresses, we show how the platform surfaces recurring patterns such as persistently low participation and concentration of proposal activity. These results demonstrate how DAO Portal supports the diagnosis of governance risks and the comparison of design choices across DAOs. To promote reproducibility and adoption, we release source code, data schema, and dashboard implementation. By turning governance traces into measurable and explainable KPIs, DAO Portal provides auditable evidence of DAO sustainability and contributes software engineering infrastructure for financial applications where treasuries and decision-making rights involve significant assets.

cs.CE↗

arXiv2025

Evaluating DAO Sustainability and Longevity Through On-Chain Governance Metrics

Decentralised Autonomous Organisations (DAOs) automate governance and resource allocation through smart contracts, aiming to shift decision-making to distributed token holders. However, many DAOs face sustainability challenges linked to limited user participation, concentrated voting power, and technical design constraints. This paper addresses these issues by identifying research gaps in DAO evaluation and introducing a framework of Key Performance Indicators (KPIs) that capture governance efficiency, financial robustness, decentralisation, and community engagement. We apply the framework to a custom-built dataset of real-world DAOs constructed from on-chain data and analysed using non-parametric methods. The results reveal recurring governance patterns, including low participation rates and high proposer concentration, which may undermine long-term viability. The proposed KPIs offer a replicable, data-driven method for assessing DAO governance structures and identifying potential areas for improvement. These findings support a multidimensional approach to evaluating decentralised systems and provide practical tools for researchers and practitioners working to improve the resilience and effectiveness of DAO-based governance models.

cs.CY↗

arXiv2020

An Evaluation Testbed for Locomotion in Virtual Reality

A common operation performed in Virtual Reality (VR) environments is locomotion. Although real walking can represent a natural and intuitive way to manage displacements in such environments, its use is generally limited by the size of the area tracked by the VR system (typically, the size of a room) or requires expensive technologies to cover particularly extended settings. A number of approaches have been proposed to enable effective explorations in VR, each characterized by different hardware requirements and costs, and capable to provide different levels of usability and performance. However, the lack of a well-defined methodology for assessing and comparing available approaches makes it difficult to identify, among the various alternatives, the best solutions for selected application domains. To deal with this issue, this paper introduces a novel evaluation testbed which, by building on the outcomes of many separate works reported in the literature, aims to support a comprehensive analysis of the considered design space. An experimental protocol for collecting objective and subjective measures is proposed, together with a scoring system able to rank locomotion approaches based on a weighted set of requirements. Testbed usage is illustrated in a use case requesting to select the technique to adopt in a given application scenario.

cs.HC↗