What if EU citizens could collaborate with scientists in the preservation of cultural heritage? Could conservation professionals be
provided with actionable technologies, skills and frameworks that upgrade their efficiency? Europe's cultural heritage is a rich and
diverse melting pot of traditions, monuments and communities where we have boiled our identity, well-being and sense of
belonging. Nonetheless, in recent years, we have witnessed a series of natural and human-induced disasters that threaten it.
Improving cultural heritage resilience to climate change and anthropogenic hazards requires a shift in conservation practices towards
more holistic ones. ChemiNova aims to develop an intelligent computational system that goes beyond current technologies to
improve the conservation, analysis and monitoring of European cultural heritage assets. Using a myriad of data, we will tackle
structural and chemical damages, focusing on two specific human-induced threats: climate change and civil conflicts. Furthermore,
our impact lies in the fact that we will not build an ad hoc device, but our technology is adapted so that anyone can access it from
anywhere. We will involve local communities in conservation practices, from providing data (citizen science) to raising awareness on
the effects of climate change, natural and human hazards affecting CH. As a main objective, we will develop novel and cost-effective
ways for remote and on-site monitoring of cultural heritage assets by reusing existing technologies and providing conservators with
advanced analysis of structural and chemical damages due to human-induced threats. Also, it will involve heritage practitioners and
non-experts in conservation processes, while considering end-users at the centre of our tools and methods. ChemiNova considers a
set of non-destructive and portable technologies in a modular way that will allow adaptable inspections according to the different
case scenarios, monuments, buildings and artefacts.

Aerosol-cloud interactions (ACI) remain the largest source of uncertainty in past, present, and future radiative forcing, impeding
credible climate projections. ACI effects are expected to change dramatically as we enter a post-fossil world, characterized by strong
reductions in anthropogenic aerosol emissions but with increasingly larger impacts from natural aerosols. Although we expect
cleaner clouds compared to today, ACI in this post-fossil state may considerably differ from preindustrial conditions, owing to shifts in
climate and changes in sources region characteristics. CleanCloud will address the major gaps impeding robust ACI assessments,
improve their representation in current and next generation kilometer-scale climate models , quantify and understand their regional
and temporal effects, and how they will evolve in the transition to the post-fossil regime.

To accomplish this, CleanCloud will 1) carry
out targeted field experiments in European climate hotspots; 2) develop state-of-the-art algorithms and analysis tools to obtain new
proxies and diagnostics for key ACI-related processes; 3) contribute to the calibration and validation of upcoming satellite missions in
coordination with the satellite community; 4) improve and better constrain kilometer- and large-scale climate models using advanced
machine learning, data assimilation and model calibration, confronting perturbed physics ensembles with existing and new satellite
and in-situ data; and 5) assess the role of aerosols in the life cycle of convective systems, focusing on precipitation formation and the
impacts on the hydrological cycle, and 6) enhance the exploitation of data centres, measurement programs, international campaigns,
laboratory studies, and models. With these, CleanCloud will profoundly strengthen European Research on climate change,
significantly contribute to upcoming climate assessments, and benefit society through models that enable improved weather and
seasonal predictions.