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Institute for Corporative Security Studies

ICS is a non-government research institute with a vision to create, promote, and share top-level knowledge and processes in the area of corporate security. With a range of professional services, ICS helps public and private organisations to comprehensively manage the entire spectrum of security risks in business and other environments, creating a safer and richer future for the users, and beyond.

Role in the project:

ICS brings the knowledge and experience in the security domain to undertake two key responsibilities, namely (1) coordinate the pilot in Slovenia focused on increasing transparency in the healthcare sector, and (2) ensure security of the newly developed solutions through a comprehensive and continuous risk assessment and penetration tests.

LIMITED LIABILITY COMPANY "ARTELLENCE UKRAINE"

Artellence is one of a few dozen companies in the world that has learned how to deeply analyze open big data. The company solves complex OSINT tasks for state structures of Ukraine, creates tools for verification of counterparties based on open information, and launches joint socially significant projects. Artellence analyzed billions of pages and profiles on the internet, developed its facial recognition system, built NLP algorithms for analyzing the meaning of texts, and created models for structuring heterogeneous big data.

Role in the project:

The company’s role in CEDAR covers: - developing the tool (jointly with YouControl) that will reveal the probability of potential corruption links in governmental tenders; - this tool will extensively utilize AI, and machine learning algorithms to squeeze insights from open big data; - predictive metrics on potential corruption links in governmental tenders will be provided as an output.

LIMITED LIABILITY COMPANY "YOUCONTROL"

YouControl is a leading Ukrainian IT company with a 9-year track record in the open data market. Our mission is to foster international cooperation by ensuring transparency in the business environment. Our products allow users to quickly verify any company in Ukraine, individual entrepreneurs, or citizens using over 220 public data sources; analyze the market, find clients, and reliable partners for cooperation; investigate international cooperation for the presence of toxic connections with sanctioned and political figures.

Role in the project:

YC is the leader of the pilot “Transparent management of foreign aid for rebuilding Ukraine”. Our role in the pilot: Collect, model, harmonise, and utilise multiple complex data sources. Create a solution for multi-factor risk analysis of legal entities and key individuals behind them to find potential links to Russia and identify bids with a high risk for corruption. Develop an automated system for identifying legal grounds for disqualifying participants in public procurement.

SNEP d.o.o., PE GreenTwin

GreenTwin is a Digital Twin that controls and manages assets from the machine to the entire company – the next step towards smart, sustainable management and Industry 4.0. Our mission is to transform large, complex business facilities and processes into a 3D digital mode so users can see, understand, and manage such businesses and facilities, quickly and effectively. It reduces the human factor and acts as a co-pilot for management, energy, maintenance, and production managers. Real-time 3D Digital Twin enables facility, and asset management, energy, CO2 monitoring and OEE, ESG.

Role in the project:

Goal is to digitalise procurement process for low-value tenders in the Slovenian Healthcare sector. Our role is to digitalise existing tenders and bids from General hospital Celje’s archive and to develop pilot-specific components, APIs and dashboards needed for the integration and validation. We will tie the ordered works to object or place, in order to identify possible duplication and risk of corruption

Insiel S.p.A. Informatica per il Sistema degli Enti Locali

Insiel, originally established in the 1970’s to develop and implement a complete information system for the Friuli-Venezia Giulia Region, is entirely owned by the Friuli-Venezia Giulia Regional Authority. Insiel is in charge of the design, development, assistance and maintenance of the whole Regional Information System, which includes: Local Administration as Municipalities, Provinces, Public Bodies, Central Regional Administration, Healthcare Authorities

Role in the project:

Insiel, as ICT provider of the Friuli Venezia Giulia Region, will coordinate and provide technological support on the Italian pilot focused on increasing transparency and improving controls of the Nation RRP management. Moreover, Insiel will coordinate the three CEDAR pilots.

Christian-Albrechts-Universität zu Kiel

Kiel University (CAU), located in Germany and founded in 1665, excels in addressing societal, environmental, and health challenges through research and teaching. With 27,500 students and 3,700 staff, it fosters interdisciplinary collaboration in four dynamic priority research areas: Marine Science, Life Science, Societal and Cultural Change, and Nano Surface & Interface Science. Dedicated to peace and prosperity, CAU is driven by the motto “Pax Optima Rerum: peace is the most valuable asset,” aiming for a sustainable future for all.
Role in the project:

With deep expertise in social science and corruption research, CAU spearheads the creation of an impact assessment framework. Collaborating closely with partners, they will employ mixed methodologies, including detailed surveys and advanced simulations, to evaluate AI technologies' scalability and effectiveness in anti-corruption efforts.

Brandenburgisches Institut für Gesellschaft und Sicherheit

The Brandenburg Institute for Society and Security (BIGS) is an independent, non-partisan non-profit institute in Potsdam, Germany with the mission of building bridges between theory and practice to improve civil security. BIGS seeks to analyze security issues from an interdisciplinary perspective and to supply needed insights, while at the same time strengthening Germany's and Europe's broader security architecture.The focus is on economic issues relating to security (economics of security).
Role in the project:

BIGS applies econometric methods to identify data traces and patterns of corrupion (detection). Data is contrasted with publicly available and comparable data from other countries to identify significant differences hinting at possible corrupt practices. Furthermore, BIGS computes correlations, i.e. the impact of corruption on economic indicators (evaluation).

TREBE Language Technologies S.L.

TREBE Language Technologies is a spin-off from Vicomtech, located in San Sebastian (SPAIN), working with and researching speech and language technologies. Our main focuses are neural machine translation, automatic speech recognition, and text-to-speech transcription. Our modular solutions and services are based on proprietary technology and can therefore be adapted to different (and custom) use cases. All of our solutions can be deployed either on premise or accessed on cloud, and can work both on GPU and CPU (Green AI).

Role in the project:

TREBE will be using automatic speech recognition technologies to detect fake content in order to prevent fraud and corruption. More specifically, TREBE will focus on speech enhancement, denoising, and voice isolation technologies (all language agnostic technologies), with the goal of improving the transcription quality.

Vicomtech

Vicomtech is a private non-profit research centre based in San Sebastian and Bilbao, Spain, specializing in Artificial Intelligence, Visual Computing, and Interaction. Established as a foundation, its primary mission is to address the Applied Research, Development, and Innovation needs of businesses and institutions. The centre aims to help organizations tackle new financial and social challenges and improve their competitiveness in the global marketplace.

Role in the project:

Vicomtech will lead the integration of WP4 technologies to detect and correlate fraud/corruption operations using cross-modal retrieval for contextualizing information. They will also enhance their Kriptosare solution for detecting crypto fraud by creating a transparent system based on graph analysis and AI to identify patterns and anomalies indicating illicit activities, including corruption and money laundering.

CENTAI

CENTAI’s mission is to push the boundaries of applied and foundational research in domains related to Artificial Intelligence and Complex Systems sciences. We aim at innovating beyond the state of the art in these fields, pursuing blue-sky research and developing trustworthy, fair, green, and sustainable methodologies. Our theoretical endeavors are flanked by applied research projects, targeting some of today's most pressing societal challenges.
Role in the project:

CENTAI will lead activities related to data protection and trustworthy AI. CENTAI will coordinate the definition of a methodology and the provision of technology and organisational measures to protect the personal data identified in WP2.

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