Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Paola Pisano

Biographic Data

ID3821035
NAMEPaola Pisano
GIVEN NAMESPaola
FAMILY NAMEPisano
SIGNATUREPISANO P
AFFILIATIONSUniversity of Turin
ORCID0000-0003-3611-1346
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2026
H-INDEX0
  • From regulatory learning to institutional change

    Open Access•Fan Yang, Ankit Mehrotra et al.•ARTICLE•Technological Forecasting and…•2026

  • Artificial intelligence augmenting human intelligence for manufacturing firms to create green value

    Open Access•Lei Huang, Tachia Chin et al.•ARTICLE•Technological Forecasting and…•2025

  • The 2023/24 Views Prediction challenge

    Open Access•Håvard Hegre, Paola Vesco et al.•ARTICLE•Journal of Peace Research•2025•References: 32

    Governmental and nongovernmental organizations have increasingly relied on early-warning systems of conflict to support their decisionmaking. Predictions of war intensity as probability distributions prove closer to what policymakers need than point estimates, as they encompass useful representations of both the most likely outcome and the lower-probability risk that conflicts escalate catastrophically. Point-estimate predictions, by contrast, fa…

  • Breaking the trend

    Open Access•Luca Macis, Marco Tagliapietra et al.•ARTICLE•Technological Forecasting and…•2024

    This paper presents an innovative Early Warning System for predicting conflicts and unrest based on Anomaly Detection, identifying sudden and unexpected changes in behavioral patterns that may indicate the potential for these events to occur. This approach draws inspiration from various fields – including industry, such as manufacturing, physics and networking – but its application in the domain of diplomacy is entirely new. The system, tested on…

  • E-health and wellbeing monitoring using smart healthcare devices

    Open Access•Armando Papa, Monika Mital et al.•ARTICLE•Technological Forecasting and…•2020

  • UK Fashion Designers Working in Micro-sized Enterprises; Attitudes to Locational Resources, Their Peers and the Market

    Alison Rieple, Jonathan Gander et al.•ARTICLE•Industry and Innovation•2015

    This paper contributes to an understanding of the importance of locally based resources and interactions in a globalised industry, fashion design. It examines the product design stage of the fashion production chain, rather than the manufacture and commercialisation of apparel products. We studied the use of their geographies by UK-based fashion designers working in micro-sized enterprises ( < 10 employees) especially because of their likely sens…

No prominent works on this page.

  • UK Fashion Designers Working in Micro-sized Enterprises; Attitudes to Locational Resources, Their Peers and the Market

    Alison Rieple, Jonathan Gander et al.•ARTICLE•Industry and Innovation•2015

    This paper contributes to an understanding of the importance of locally based resources and interactions in a globalised industry, fashion design. It examines the product design stage of the fashion production chain, rather than the manufacture and commercialisation of apparel products. We studied the use of their geographies by UK-based fashion designers working in micro-sized enterprises ( < 10 employees) especially because of their likely sens…

  • E-health and wellbeing monitoring using smart healthcare devices

    Open Access•Armando Papa, Monika Mital et al.•ARTICLE•Technological Forecasting and…•2020

  • Breaking the trend

    Open Access•Luca Macis, Marco Tagliapietra et al.•ARTICLE•Technological Forecasting and…•2024

    This paper presents an innovative Early Warning System for predicting conflicts and unrest based on Anomaly Detection, identifying sudden and unexpected changes in behavioral patterns that may indicate the potential for these events to occur. This approach draws inspiration from various fields – including industry, such as manufacturing, physics and networking – but its application in the domain of diplomacy is entirely new. The system, tested on…

  • Artificial intelligence augmenting human intelligence for manufacturing firms to create green value

    Open Access•Lei Huang, Tachia Chin et al.•ARTICLE•Technological Forecasting and…•2025

  • The 2023/24 Views Prediction challenge

    Open Access•Håvard Hegre, Paola Vesco et al.•ARTICLE•Journal of Peace Research•2025•References: 32

    Governmental and nongovernmental organizations have increasingly relied on early-warning systems of conflict to support their decisionmaking. Predictions of war intensity as probability distributions prove closer to what policymakers need than point estimates, as they encompass useful representations of both the most likely outcome and the lower-probability risk that conflicts escalate catastrophically. Point-estimate predictions, by contrast, fa…

  • From regulatory learning to institutional change

    Open Access•Fan Yang, Ankit Mehrotra et al.•ARTICLE•Technological Forecasting and…•2026

Computer Science (5 works) · Business (3 works) · Economics (3 works) · Engineering (2 works) · Industrial organization (2 works) · Marketing (2 works) · Political science (2 works) · Work (physics) (2 works) · Action (physics) (1 work) · Action learning (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae