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FIN-TECH SIGNED

A FINancial supervision and TECHnology compliance training programme

Total Cost €

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EC-Contrib. €

0

Partnership

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 FIN-TECH project word cloud

Explore the words cloud of the FIN-TECH project. It provides you a very rough idea of what is the project "FIN-TECH" about.

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Project "FIN-TECH" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI PAVIA 

Organization address
address: STRADA NUOVA 65
city: PAVIA
postcode: 27100
website: www.unipv.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 2˙500˙000 €
 EC max contribution 2˙500˙000 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2018-2
 Funding Scheme CSA
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI PAVIA IT (PAVIA) coordinator 400˙000.00
2    FIRAMIS GMBH DE (OBERURSEL) participant 300˙000.00
3    KAUNO TECHNOLOGIJOS UNIVERSITETAS LT (KAUNAS) participant 150˙000.00
4    UNIVERSITE PARIS I PANTHEON-SORBONNE FR (PARIS) participant 150˙000.00
5    ZURCHER HOCHSCHULE FUR ANGEWANDTE WISSENSCHAFTEN CH (WINTERTHUR) participant 150˙000.00
6    ACADEMIA DE STUDII ECONOMICE DIN BUCURESTI RO (BUCURESTI) participant 100˙000.00
7    B HIVE EU BE (MACHELEN) participant 100˙000.00
8    HUMBOLDT-UNIVERSITAET ZU BERLIN DE (BERLIN) participant 100˙000.00
9    PANTEIO PANEPISTIMIO KOINONIKON KAIPOLITIKON EPISTIMON EL (KALLITHEA ATHINA) participant 100˙000.00
10    TAMPEREEN KORKEAKOULUSAATIO SR FI (TAMPERE) participant 100˙000.00
11    UNIVERSIDAD COMPLUTENSE DE MADRID ES (MADRID) participant 100˙000.00
12    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 100˙000.00
13    WIRTSCHAFTSUNIVERSITAT WIEN AT (WIEN) participant 100˙000.00
14    EKONOMICKA UNIVERZITA V BRATISLAVE SK (BRATISLAVA) participant 50˙000.00
15    IKONOMICHESKI UNIVERSITET - VARNA BG (VARNA) participant 50˙000.00
16    INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA PT (PORTO) participant 50˙000.00
17    INSTITUT JOZEF STEFAN SI (LJUBLJANA) participant 50˙000.00
18    Masarykova univerzita CZ (BRNO STRED) participant 50˙000.00
19    MODEFINANCE SRL IT (TRIESTE) participant 50˙000.00
20    POLITECNICO DI MILANO IT (MILANO) participant 50˙000.00
21    SVEUCILISTE U RIJECI EKONOMSKI FAKULTET HR (RIJEKA) participant 50˙000.00
22    UNIVERSITE DU LUXEMBOURG LU (ESCH-SUR-ALZETTE) participant 50˙000.00
23    UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN IE (DUBLIN) participant 50˙000.00
24    UNIWERSYTET WARSZAWSKI PL (WARSZAWA) participant 50˙000.00
25    TAMPEREEN YLIOPISTO FI (TAMPERE) participant 0.00

Map

 Project objective

'Financial Technology (Fin Tech) means 'Technology enabled financial innovations'. There is a strong need to improve the competitiveness of the European Fin Tech sector, creating a common regulatory field across all countries which, while encouraging innovations in Big Data analytics, Artificial  Intelligence, and Blockchain technologies, can correctly measure their risks. Europe is a broad mosaic of regulatory landscapes. Policy makers and regulators must move quickly to establish a new regulatory framework for emerging fintechs, without stifling their economic potential.

The FIN-TECH project, under the EU's Horizon2020 funding scheme, aims to create a European training programme, aimed at providing shared risk management solutions that automatize compliance of Fintech companies (RegTech) and, at the same time, increases the efficiency of supervisory activities (SupTech). In other words, we aim at connecting FINancial supervision with TECHnological compliance, from which the acronym of the project: FIN-TECH.

The project programme will be built jointly by 24 university and fntech partners that are established experts in fintech risk management, that will share knowledge with with regulators, supervisors and fintech associations and hubs from all 28 European Union countries, plus Switzerland.

The goals of the project will be achieved through research activity in risk management models for Big data analytics, AI and Blockchain applications to finance, discussed in three different research workshops; two levels of knowledge exchange sessions: a training level, run at the location of the involved supervisor in each of the 29 countries, to achieve uniformity across Europe; a coding level, centralised at the location of six different fintech hubs. The project will be simultaneously disseminated and validated through a dedicated web site, social network activity, users feedback and validation by established bank, insurance and investment funds.

'

 Deliverables

List of deliverables.
Research and development environment Websites, patent fillings, videos etc. 2020-02-11 08:37:12
Establishment of website and social media channels. Websites, patent fillings, videos etc. 2020-02-11 08:37:12
Network Establishment Documents, reports 2020-02-11 08:37:11

Take a look to the deliverables list in detail:  detailed list of FIN-TECH deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Paolo Giudici, Branka Hadji-Misheva, Alessandro Spelta
Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms
published pages: , ISSN: 2624-8212, DOI: 10.3389/frai.2019.00003
Frontiers in Artificial Intelligence 2 2020-03-05
2018 Paolo Giudici
Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance
published pages: , ISSN: 2624-8212, DOI: 10.3389/frai.2018.00001
Frontiers in Artificial Intelligence 1 2020-03-05
2019 Theodor Cojoianu, Gordon L. Clark, Andreas G. F. Hoepner, Vladimir Pazitka, Dariusz Wojcik
Fin vs. Tech: Determinants of Fintech Start-Up Emergence and Innovation in the Financial Services Incumbent Sector
published pages: , ISSN: 1556-5068, DOI: 10.2139/ssrn.3347755
SSRN Electronic Journal 2020-03-05
2019 Paolo Giudici, Gloria Polinesi
Crypto price discovery through correlation networks
published pages: , ISSN: 0254-5330, DOI: 10.1007/s10479-019-03282-3
Annals of Operations Research 2020-03-05
2020 LINING YU, WOLFGANG KARL HÄRDLE, lUKAS BORKE, THIJS BENSCHOP
AN AI APPROACH TO MEASURING FINANCIAL RISK
published pages: 1-21, ISSN: 0217-5908, DOI: 10.1142/s0217590819500668
The Singapore Economic Review 2020-03-05
2019 Goodell, Geoff; Aste, Tomaso
A Decentralised Digital Identity Architecture
published pages: , ISSN: 2624-7852, DOI: 10.3389/fbloc.2019.00017
Frontiers in Blockchain , 2 , Article 17. (2019) 1 2020-03-05
2019 Daniel Felix Ahelegbey, Paolo Giudici, Branka Hadji-Misheva
Latent factor models for credit scoring in P2P systems
published pages: 112-121, ISSN: 0378-4371, DOI: 10.1016/j.physa.2019.01.130
Physica A: Statistical Mechanics and its Applications 522 2020-03-05
2020 Ying Chen, Paolo Giudici, Branka Hadji Misheva, Simon Trimborn
Lead Behaviour in Bitcoin Markets
published pages: 4, ISSN: 2227-9091, DOI: 10.3390/risks8010004
Risks 8/1 2020-03-05
2019 Javier Arroyo, Francesco Corea, Guillermo Jimenez-Diaz, Juan A. Recio-Garcia
Assessment of Machine Learning Performance for Decision Support in Venture Capital Investments
published pages: 124233-124243, ISSN: 2169-3536, DOI: 10.1109/access.2019.2938659
IEEE Access 7 2020-03-05
2019 Arianna Agosto, Paolo Giudici, Tom Leach
Spatial Regression Models to Improve P2P Credit Risk Management
published pages: , ISSN: 2624-8212, DOI: 10.3389/frai.2019.00006
Frontiers in Artificial Intelligence 2 2020-03-05
2019 Peter Schwendner, Martin Schüle, Martin Hillebrand
Sentiment Analysis of European Bonds 2016–2018
published pages: , ISSN: 2624-8212, DOI: 10.3389/frai.2019.00020
Frontiers in Artificial Intelligence 2 2020-03-05
2019 Stéphane Blemus, Dominique Guegan
Initial Crypto-Asset Offerings (ICOs), Tokenization and Corporate Governance
published pages: , ISSN: 1556-5068, DOI: 10.2139/ssrn.3350771
SSRN Electronic Journal 2020-03-05
2019 Tomaso Aste
Cryptocurrency market structure: connecting emotions and economics
published pages: 5-21, ISSN: 2524-6984, DOI: 10.1007/s42521-019-00008-9
Digital Finance 1/1-4 2020-03-05
2019 Dominique Guégan, Christophe Henot
A probative value for authentication use case blockchain
published pages: 91-115, ISSN: 2524-6984, DOI: 10.1007/s42521-019-00003-0
Digital Finance 1/1-4 2020-03-05
2019 Krzysztof Kosc, Paweł Sakowski, Robert Ślepaczuk
Momentum and contrarian effects on the cryptocurrency market
published pages: 691-701, ISSN: 0378-4371, DOI: 10.1016/j.physa.2019.02.057
Physica A: Statistical Mechanics and its Applications 523 2020-03-05
2020 Niklas Bussmann, Paolo Giudici, Dimitri Marinelli, Jochen Papenbrock
Explainable AI in Credit Risk Management
published pages: , ISSN: 1556-5068, DOI: 10.2139/ssrn.3506274
SSRN Electronic Journal 2020-03-05
2020 Andrew Burnie, Emine Yilmaz, Tomaso Aste
Analysing Social Media Forums to Discover Potential Causes of Phasic Shifts in Cryptocurrency Price Series
published pages: , ISSN: 2624-7852, DOI: 10.3389/fbloc.2020.00001
Frontiers in Blockchain 3 2020-03-05
2019 Geoff Goodell, Tomaso Aste
Can Cryptocurrencies Preserve Privacy and Comply With Regulations?
published pages: , ISSN: 2624-7852, DOI: 10.3389/fbloc.2019.00004
Frontiers in Blockchain 2 2020-03-05
2020 Saman Adhami, Dominique Guegan
Crypto assets: the role of ICO tokens within a well-diversified portfolio
published pages: , ISSN: 0391-2078, DOI: 10.1007/s40812-019-00141-x
Journal of Industrial and Business Economics 2020-03-05
2019 Daniel Felix Ahelegbey, Paolo Giudici, Branka Hadji-Misheva
Factorial Network Models to Improve P2P Credit Risk Management
published pages: , ISSN: 2624-8212, DOI: 10.3389/frai.2019.00008
Frontiers in Artificial Intelligence 2 2020-03-05
2019 Paolo Giudici, Branka Hadji-Misheva, Alessandro Spelta
Network based credit risk models
published pages: 1-13, ISSN: 0898-2112, DOI: 10.1080/08982112.2019.1655159
Quality Engineering 2020-03-05
2019 Giudici, Pagnottoni
High Frequency Price Change Spillovers inBitcoin Markets
published pages: 111, ISSN: 2227-9091, DOI: 10.3390/risks7040111
Risks 7/4 2020-03-05

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The information about "FIN-TECH" are provided by the European Opendata Portal: CORDIS opendata.

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