About CauseFinder

The next wave of Big Data and Artificial Intelligence (AI) will be centred on extracting deeper structure from observed systems. Built on the rapid development of existing Data and AI technologies, topics such as Multilevel Evolving Knowledge Graphs, Causal Reasoning, Explanation Based Modelling will result in much more efficient solutions than possible today.

The project aims at ground breaking results in theory, methodology and algorithms, especially in the fields of scalable multiresolution causality modelling, scalable probabilistic reasoning, evolving knowledge graph construction from diverse data sources and new insights into innovation ecosystem lifecycle management.

Project Duration

36 months

Project Budget

approx. 1.4 mil. Euro

Implementation

July 2023 – June 2026

Mission & Objectives

The long-term perspective of the project lies in interconnection, model development, and understanding of all relevant aspects of the global innovation ecosystem, from the emergence of ideas to their potential implementation in business, as well as decision-making in research policy. The aim is to employ modern artificial intelligence (AI) techniques to support the modeling and analysis of the complex system of the global innovation lifecycle, with specialized approaches at the national level.

Innovation Knowledge Graph

Building an evolving knowledge graph from various data sources connected to a global model.

Causality

Constructing a probabilistic, multi-resolution causal structure of the observed world derived from data streams.

Probabilistic Reasoning

Developing scalable probabilistic reasoning that leverages the integration of knowledge graphs with multiple operators.

Representation Learning for Unsupervised Phenomena and Anomaly Detection

Using existing representation learning to enhance the grounding power of reasoning and analysis techniques for unsupervised phenomena and anomaly detection.

Use Case Validation

Validating the proposed techniques in the field of innovation management.

Our Team

Dumitru Roman
Dumitru Roman
Researcher
Alina Dima
Alina Dima
Researcher
Vasile Strat
Vasile Strat
Researcher
Adriana Davidescu
Adriana Davidescu
Researcher
Giani Gradinaru
Giani Gradinaru
Researcher
Marius Matei
Marius Matei
Researcher
Catalina Chinie
Catalina Chinie
Researcher
Stere Stamule
Stere Stamule
Researcher
Mihail Busu
Mihail Busu
Researcher
Mihai Gheorghe
Mihai Gheorghe
Researcher
Madalina Zurini
Madalina Zurini
Researcher
Cosmin Proscanu
Cosmin Proscanu
Researcher
Diana Agafitei
Diana Agafitei
Researcher
Iulia Ciurea
Iulia Ciurea
Researcher
Octavia Albu
Octavia Albu
Researcher
Tania Puia
Tania Puia
Researcher

Deliverables