Inno4Vac

About Project

A cloud-based systems-immunology platform for reliable predictions of vaccine efficacy

Developing a new vaccine typically takes more than a decade. Under a single umbrella, Inno4Vac proposes an ambitious programme that will harness the latest advances in immunology, disease modelling, and in silico and mathematical modelling for tackling persistent scientific bottlenecks in vaccine development and for de-risking and accelerating this process. Inno4Vac is an interdisciplinary project funded by the Innovative Medicines Initiative 2 (IMI2) that aims to harness advances in the fields of immunology, big data and artificial intelligence, 3D tissue models and human infection models, and incorporate them into the vaccine industry to accelerate the development of new vaccines. This five year and a half project (Sept 2021 – February 2027) brings together global leaders in the fields of clinical research, immunology, microbiology, systems biology, mathematical models, and regulatory matters. This diverse team will focus on four key areas or subtopics. INESC TEC’s focus is in Subtopic 1 – VAXPRED: Using big data analysis, computational modelling in combination with artificial intelligence is being used to build an open-access and cloud-based platform for in silico vaccine efficacy assessment and development.

Acronym

Inno4Vac

Responsible

Artur Jorge da Silva Rocha

Status

active

Start

January 1, 2021

End

January 28, 2027

Effective End

Global Budget

€2,000,000.00

Financing

€298,750.00

Website

Members

Team Leaders

Artur Rocha

He is a senior researcher at INESC TEC since 1998. He is coordinator of HumanISE - Human-centered computing and Information Science

Current research interests include platforms and methods for collaborative research, privacy-preserving distributed computation, the semantic sensor Web (IoT) and Big Data processing.

From October 1996 to December 1997, he was an associate member of CERN - European Laboratory for High Energy Physics, IT Division/Web Office.

His research is applied in two major areas: Personalized Health Research (PHR) and Earth and Ocean Observation Science (EOOS).

The PHR area currently subdivides in: a) personalized Internet-based treatments; and b) human data storage, privacy-preserving processing and controlled FAIR data sharing. In this area, he participates in several European projects, such as ICT4Depression (FP7), E-COMPARED (FP7), STOP Depression (EEA Grant), iCare4Depression (FCT), RECAP Preterm (H2020), EUCAN-Connect (H2020) and iReceptor Plus (H2020). In these projects, he often undertakes the role of responsible for the system's architecture, platform implementation, or technical coordinator.

In the EOOS area he participates in the implementation of the RAIA Observatory (Interreg projects RAIA, RAIA.co, RAIA TEC, MarRisk and RADAR ON RAIA), SeaBioData(EEA Grant), MELOA (H2020) and C4G which is the Portuguese node of EPOS (H2020 EPOS-SP).

Team Members

Ana Victoriano

Ademar Aguiar

Alexandre Almeida Costa

Artur Rocha

Disseminations

INESC TEC has a unique and differentiating management model, improved over its 35 years of history. Reflecting its unique position between academia and industry, the management at INESC TEC carefully balances, in a hybrid model, the academic culture of scientific freedom and dialogue with a culture of efficiency and responsibility in management.

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Associated Centres

Human-Centered Computing and Information Science

The Centre for Human-Centered Computing and Information Science (HumanISE) brings together engineers, scientists, and designers with expertise in Human-Centred Computing (HCC), Computer Science (CS), and Information Science (IS). Interdisciplinarity, one of the Centre’s defining features, fosters the development of software systems, methods, and tools designed to empower individuals and their communities. The excellence and impact of HumanISE’s research, innovation, and consultancy activities allow addressing increasingly complex, volatile, heterogeneous, ambiguous, and uncertain challenges, while ensuring compliance with legal, ethical, and organisational standards and frameworks. Value transfer is achieved through close collaboration with academia and industry partners. HumanISE’s core research areas include Human-Computer Interaction; Computer Graphics and Interactive Digital Media; Information Management and Information Systems; Software Engineering; and Large-Scale and Special-Purpose Computing Systems, Languages, and Tools; as well as Computing for Embedded and Cyber-Physical Systems. HumanISE also explores innovation domains like Earth, Ocean and Space Sciences; Personalised Health Research; Geospatial Information Systems Engineering; and Applied Information Systems and Computing.