WP4: Driving digital innovations with Blockchain applications

Research • Lead: 6-ASE • M4–M48 • 300 PM

WP 4 is led by ASE and supported by all partners. The work is divided into the following tasks.

Objectives

The WP will focus on driving forward digital innovations through increased adoption of the blockchain technology.
O 4.1. To answer the main research questions on solving blockchain deployment hurdles for financial applications.
O 4.2. To demonstrate the proposed risk index, fraud detection system and guidelines for a supervisory approach to machine learning for digital finance (WWU, RAI, ROY).
O 4.3. To disseminate the knowledge, validated by an international research centre (FRA and ARC) or ECB.

Task	Name	Description
T4.1	Technical coordination	Monitoring the related IRPs, store the output generated in a location accessible to the entire network
T4.2	Research training	Support the research training for all assigned DCs and contribute to advanced training content
T4.3	Crypto risk index	Develop a risk index for cryptos to measure dependencies and spillover effects in tail risk events in the crypto universe
T4.4	Fraud detection prototype	Propose a fraud detection system for financial networks with dynamic AI learning models
T4.5	Supervisory guidelines	Propose guidelines for a supervisory approach to machine learning for digital finance
T4.6	Dissemination	Disseminate, communicate and exploit the results (Conferences, OS Day, policy paper, two prototypes, use case, media coverage)

Host: UTW • PhD: UTW

Host: WWU • PhD: WWU

Host: POZ • PhD: POZ

Code	Name	Type	Diss.	Due	Description
D4.1	White paper on crypto indices	R	SEN	M24	White paper on the construction and the risks involved in crypto indices
D4.2	Policy report on fraud detection	R	SEN	M48	Policy report on fraud detection methods in blockchains and time-series
D4.3	Guidelines for a supervisory approach to machine learning	OTHER	SEN	M48	Guidelines for a supervisory approach to machine learning for digital finance