Case Study Team
Coordinators
| Id | Name | Institution (type*) | Related WG | Role in the team |
| 1 | Aleš Zamuda | University of Maribor, SI | WG4 | Coordinator |
| 2 | Andrea Bracciali | University of Stirling, UK (A) | WG3 | Vice-Coordinator |
Team Members
| Id | Name | Institution (type*) | Related WG |
| 1 | Vasco Amaral | Nova University of Lisbon, PT (A) | WG2 |
| 2 | Joana Matos Dias | Universidade de Coimbra, PT (A) | WG4 |
| 3 | José Covelo García | Luckia Gaming Group, ES (I) | WG4 |
| 4 | Horacio Gonzalez-Velez | National College of Ireland, IE (A) | WG1 |
| 5 | Miguel Goulão | Universidade Nova de Lisboa, PT (A) | WG4 |
| 6 | Mariam Kiran | ESNet, UK (I) | WG4 |
| 7 | Roman Šenkeřík | University Tomas-Bata, Zlin CZ (A) | WG4 |
| 8 | Katarzyna Wegrzyn-Wolska | ESIGETEL, FR (A) | WG4 |
| 9 | Juan C. Burguillo-Rial | (A) Universidade de Vigo, ES (A) | WG4 |
*A-academia, I-industry
Addressed Problem
Aim: The aim of the case study is to find the correlations between sentiments and blockchain technologies.
Topics: Text mining, Sentiment analysis, Blockchain technologies for e-currencies, ICO – Initial Coin Offerings
Main Problem: Forecasting crypto-currency assets’ value
Existing Solution(-s) (Models, Tools)
TBC
Proposed Solution(-s) (Models, Tools)
TBC
Practical Scenarios (-s)
TBC
Supplementary Material
TBC