SciTransfer
Organization

NOVA CONSERVACAO - RESTAURO E CONSERVACAO DO PATRIMONIO ARTISTICO-CULTURAL, SA

Portuguese conservation and restoration SME bridging professional heritage practice with EU research in materials science and digital documentation.

Conservation & Restoration SMEsocietyPTSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€243K
Unique partners
37
What they do

Their core work

Nova Conservacao is a Lisbon-based private company specializing in the professional restoration and conservation of artistic and cultural heritage — monuments, historical artifacts, and archaeological sites. Their core business is hands-on preservation work, making them one of the rare industry practitioners (rather than university labs) to participate in EU research projects in this field. In H2020 consortia, they act as the applied industry bridge: validating research methods against real conservation practice, hosting researchers, and contributing operational knowledge that academic partners lack. Their involvement in projects spanning heritage risk management and materials science for archaeology reflects a company that systematically integrates scientific advances into professional conservation services.

Core expertise

What they specialise in

Heritage Risk and Disaster Managementsecondary
1 project

STORM (2016–2019) focused on technical and organisational frameworks for safeguarding heritage sites from natural and man-made threats.

Archaeological Site Preservationsecondary
1 project

ED-ARCHMAT lists 'Preservation of Archaeological Sites' as a direct keyword, indicating Nova Conservacao contributes fieldwork or methodological expertise in this area.

Cultural Heritage Materials Scienceemerging
1 project

ED-ARCHMAT (European Doctorate in Archaeological and Cultural Heritage Materials Science) brought Nova Conservacao into scientific analysis of heritage materials alongside academic partners.

Digital Documentation Techniquesemerging
1 project

ED-ARCHMAT keywords include 'Digital Techniques applied to Archaeology', suggesting growing engagement with 3D scanning, photogrammetry, or similar methods.

Evolution & trajectory

How they've shifted over time

Early focus
Heritage risk and site management
Recent focus
Materials science, digital archaeology, training

Nova Conservacao's first H2020 project (STORM, 2016–2019) addressed operational and organisational challenges in safeguarding heritage — risk management, response protocols, and site resilience. Their second project (ED-ARCHMAT, 2018–2022) shifted the frame toward scientific depth: materials science, digital techniques, and building the next generation of researchers with entrepreneurial skills in cultural heritage. This arc suggests a company moving from applied protection services toward research-embedded roles that combine laboratory-grade analysis with field practice. The emergence of "entrepreneurship in cultural heritage" as a keyword is notable — it signals awareness of the commercial and knowledge-transfer dimensions of their sector, not just technical craft.

Nova Conservacao appears to be positioning itself as an industry host and applied validator for academic research in heritage science, with growing engagement in digital documentation and materials analysis — areas where practice-based SMEs are scarce and therefore valuable to consortia.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European12 countries collaborated

Nova Conservacao has never led an H2020 project — they join as a participant or third-party partner, consistently taking a specialist contributor role rather than a coordinating one. Despite only two projects, they accumulated 37 unique consortium partners across 12 countries, which means they entered large, complex pan-European consortia rather than small focused teams. Their third-party role in the MSCA training network ED-ARCHMAT suggests they serve as an industry host or mentor for doctoral researchers, which is a high-value but low-visibility form of participation common among SMEs in training networks.

With 37 unique consortium partners across 12 countries from just two projects, Nova Conservacao has operated within broad, internationalized research consortia typical of MSCA and RIA instruments. No website is available to confirm bilateral partnerships, and the small project count makes it impossible to identify recurring partner relationships.

Why partner with them

What sets them apart

Nova Conservacao is unusual in the H2020 landscape: a private SME operating in a field dominated by universities, museums, and heritage agencies. That industry status makes them a credible applied partner for research consortia that need real-world validation — they can test methods on actual commissions, not just lab samples. For scientists building consortia in heritage science or archaeology, they offer what no university partner can: a commercial conservation practice with active project pipelines and direct client access in the Portuguese and, by extension, Iberian cultural heritage market.

Notable projects

Highlights from their portfolio

  • STORM
    Their only funded H2020 participation (EUR 242,500) and an active contributor role in a multi-country RIA addressing technical and organisational resilience for cultural heritage sites against natural hazards.
  • ED-ARCHMAT
    Participation in a prestigious MSCA Innovative Training Network for doctoral education in heritage materials science — a role typically reserved for universities, signalling Nova Conservacao's recognition as a credible industry host for early-stage researchers.
Cross-sector capabilities
Environmental monitoring and climate risk assessment for built heritageDigital technologies and 3D documentation for spatial or industrial applicationsEducation and professional training in applied science contexts
Analysis note: Only 2 projects with keyword data present in just one of them; no website available to cross-check core services. The company name is the strongest signal for their business identity. Confidence is low — analysis should be verified against their actual project deliverables (STORM and ED-ARCHMAT public outputs) before use in high-stakes matching.