E3 Project Management

1. Internal: the general information on the asset itself, who is responsible, what license, where is the repo(s), status, maintenance aspects, etc
2. Proposals: the content that could be reused in other proposals and in which projects it is being used or even mentioned (to avoid double funding)
3. Dev: coming back to the reusable libraries that Erik and Alenka were working on to make this work easy to use in other projects

Map of Assets/Projects

graph LR
    subgraph Projects
        Plooto
        enrichMyData
        HumAIne
        PREPARE
        TWON
        AI4GOV
    end

    subgraph Assets
        AD
        APy
        TSFM
        LLM-OG
        MedNER
        RAG-KG
        SS
        DIP-RD
        OSN
        SIM
        FNG
        NEG
    end

    Plooto --> AD
    PREPARE --> APy
    HumAIne --> APy
    Plooto --> TSFM
    HumAIne --> LLM-OG
    PREPARE --> MedNER
    HumAIne --> MedNER
    enrichMyData --> SS
    Plooto --> SS
    HumAIne --> RAG-KG
    AI4GOV --> DIP-RD
    TWON --> OSN
    TWON --> SIM
    TWON --> FNG
    TWON --> NEG
    enrichMyData --> AD

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Assets

Abb.	Asset Name	Project(s)	Responsible
AD	Anomaly Detection	Plooto	Klemen
AL	Active Learning	HumAIne	Klemen, Rokxx
APy	Anonipy	PREPARE	Erik
TSFM	Time Series Foundation Model	Plooto	Rok K.
LLM-OG	LLM-powerd Ontology Generation	HumAIne	Jože, Klemen
MedNER	Medical Named Entity Recognition	PREPARE, HumAIne	Erik
RAG-KG	RAG for KG	HumAIne	Domen
SS	StreamStory	enrichMyData	Jan
DIP-RD	Data incompleteness pipeline	AI4Gov	Alenka
OSN	Online social network (OSN)	TWON	Abdul
SIM	OSN Simulation	TWON	Abdul
FNG	Fake news generator	TWON	Luka G., Abdul
NEG	Negotitaion plug-in agent	TWON	Martin Ž., Marko

Projects

Project Name	Use Cases	Technology
Plooto	Manufacturing, Industry 4.0	Classical / TS ML
enrichMyData		AI
HumAIne	Medical, Finance, Energy, Governance	Active Learning, NLP
PREPARE	Medical
TWON	Social Science	LLM
AI4Gov	Public sector, Medical	Bias detection, education