SILVANUS: the new European Green Deal project launched for wildfire management, forest resilience and climate change

Funded by the EU Horizon 2020 Green Deal program and coordinated by Università Telematica Pegaso, SILVANUS project includes 49 partners from the European Union, Brazil, Indonesia, and Australia, with a budget of €23 million for a period of 42 months.

The SILVANUS project brings together a large consortium of interdisciplinary experts from four continents to combat the threat of forest fires and improve forest resilience against climate change.

The key output of the project is the release of a climate resilient forest management platform to prevent and suppress forest fire. SILVANUS relies on environmental, technical and social sciences experts to support regional and national authorities responsible for wildfire management in their respective countries. SILVANUS scientists and research engineers will aid the civil protection authorities to efficiently monitor forest resources, to evaluate biodiversity, to generate more accurate fire risk indicators, and promote safety regulations among the local population affected by wildfire through awareness campaigns.

What makes SILVANUS innovative?

In the climate crisis era, where forest fires are becoming more dangerous and more frequent, SILVANUS aims to offer a new technological solution to improve the preparedness and prevention of wildfire ignition. This will be achieved through the integration of big-data processing framework capable of analysing various data sources such as climate models, weather data, and earth observation tools, leading to the development of intelligent fire ignition models. These models will be furthermore complemented with the use of in-situ environmental sensors, CCTV and multi-spectral imaging solutions to develop an advanced detection and response toolkit. SILVANUS will also introduce sensor technologies that use inventive wireless communication infrastructure through the coordination of unmanned aerial vehicles and automated ground robots for coordinating the response among first fighters.

The important aspect of the project is to consider the expertise and experience of firefighters and the local residents who are faced every year with the dangers of devastating wildfires. SILVANUS will launch a wide-reaching stakeholder engagement programme in forest regions to assess fire risk indicators, to develop training methodology for firefighters, to use for VR and AR training toolkits, and to simulate real-world environments and life-saving scenarios. Awareness campaigns will include the implementation of mobile application for citizen engagement, along with automated notifications on safety practices.

Pilot implementation and long-term impacts

The SILVANUS project innovations will be systematically deployed and demonstrated across eight EU Member States regions (France, Italy, Slovakia, Greece, Czechia, Portugal, Croatia, and Romania). Additional demonstrations will also be carried out across Indonesia, Brazil, and Australia.

To ensure that the results of SILVANUS have a long-term impact, the project will include policy recommendations on forest governance, soil rehabilitation strategy recommendation, and restoration roadmap services for natural resources.

For the duration of its activities and beyond, SILVANUS will focus on all three components of fire suppression: prevention and preparedness, detection and response, restoration and adaptation.

The SILVANUS project will kick off with a hybrid meeting in Naples, Italy, scheduled on the 13^th and 14^th of December 2021. Please stay tuned for further updates on the project progress.

Additional info at: https://cordis.europa.eu/project/id/101037247
 
 

Partners

Università Telematica Pegaso (Pegaso Telematic University), Zanasi&Partners, INTRASOFT International SA, Thales, Fincons Spa, Atos IT Solutions and Services Iberia SL, Dell Technologies, Software Imagination & Vision SRL, CNET Centre for New Energy Technologies SA, AdP Valor – Serviços Ambientais, S.A.,  Terraprima – Serviços Ambientais Sociedade Unipessoal LDA,  3MON, s.r.o., Catalink Limited, Synthesis Center for Research and Education Limited, Expert.AI SpA, ITTI Sp. z o.o., Venaka Treleaf GbR, Massive Dynamic Sweden AB, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (Euro-Mediterranean Center on Climate Change), EXUS Software Monoprosopi Etairia Periorismenis Evthinis, RiniGARD d.o.o., Micro Digital d.o.o., Politechnika Warszawska (Warsaw University of Technology), Högskolan I Borås (University of Borås), Geoponiko Panepistimio Athinon (Agricultural University of Athens), Centre for Research and Technology Hellas (CERTH) – Information Technologies Institute, Panepistimio Thessalias (University of Thessaly), Associação do Instituto Superior Técnico Para a Investigação e Desenvolvimento (IST-ID), Veleučilište Velika Gorica (University of Applied Sciences Velika Gorica), Ústav Informatiky Slovenska Akademia VIED (Insitute of Informatics – Slovak Academy of Sciences), Pompiers de l’urgence Internationale (PUI France), The Main School of Fire Service Poland, Agenzia regionale Strategica per lo Sviluppo Ecosostenibile del Territorio (Regional Strategic Agency for the Eco-sustainable Development of the Territory), LETS Italia SRLS, Parco Naturale Regionale di Tepilora (Regional Natural Park of Tepilora), Fundația Pentru SMURD (SMURD Foundation), Asociația Forestierilor din România (Romainan Forestry Association – ASFOR), Kentro Meleton Asfaleias (Center for Security Studies – KEMEA), Elliniki Omada Diasosis Somateio (Hellenic Rescue Team – HRT), Aristotelio Panepistimio Thessalonikis (Aristotle University of Thessaloniki), Ospedale Israelitico (Jewish Hospital Rome), Region of Sterea Ellada (Central Greece), Hasicsky zachranny sbor Moravskoslezskeho kraje (Fire Rescue Brigade of Moravian-Silesian Region), Hrvatska vatrogasna zajednica (Croatian Firefighting Community), Technická Univerzita vo Zvolene (Technical University in Zvolen), Občianske Združenie Plameň Badín (Plamen), Yayasan AMIKOM Yogyakarta (University of AMIKOM Yogyakarta), Commonwealth Scientific and Industrial Research Organisation, Universidade Federal do Rio de Janeiro (Federal University of Rio de Janeiro)

Artificial Intelligence for Security: our “popAI” proposal has been awarded!

Zanasi & Partners is glad to announce the successful result of popAI proposal. The proposal has been awarded the grant under the H2020 framework, thus confirming Z&P engagement in the security research field. popAI will be coordinated by the National Center for Scientific Research Demokritos (NCSRD), already valuable partner in multiple proposals and projects, such as TRESSPASS (H2020). 

popAI addresses a crucial topic in today’s security landscape: the role and potentialities of artificial intelligence, as an instrument to support and facilitate the work of Law Enforcement Agencies.

Artificial intelligence offers relevant solutions to improve the protection and safety of EU citizens. However, the last decade has witnessed the emergence of collateral effects and a spread of scepticism towards the use of this technology. Social media controversies, the Snowden case, the Facebook-Cambridge Analytica data scandal are amongst those events that highlighted an alarming lack of transparency and adequate regulatory framework for the use and application of AI, thus increasing the sensitivity of the EU population and decision-makers towards this topic.

popAI aims at fostering trust in the application of AI and AI-enabled mechanisms in the security domain, by increasing awareness, social engagement and gathering knowledge and expertise from multiple sectors (e.g. academic and non-academic actors). This approach will offer a unified European view across LEAs, while encouraging the creation of an ecosystem that could provide the structural architecture of a sustainable and inclusive European AI hub for Law Enforcement. Moreover, the project will delineate a roadmap for the implementation of AI systems in the short term (focusing on certification and compliance) and in the long term (addressing potential future scenarios and risks related to the use of AI).

popAI methodology is built on three critical pillars:

• A background analysis that will investigate the legal, ethical, and social framework related to the use of AI tools in security and ethics, thus creating a taxonomy of ethical principles for LEA’s use of AI applications;
• A multidisciplinary analysis of experts and citizen awareness and acceptance, conducted through different forms of engagement (e.g. social media analysis, interactive webinars, etc.) to get a comprehensive perspective of how AI is perceived by diverse audiences;
• Definition of recommendations and best practises promoting a human-centric, socially-driven, successful and responsible implementation of the AI in the security domain.

The 24-month project will rely on the experience of 13 partners from 7 countries:

• Coordinator: National Center for Scientific Research Demokritos (NCSRD)
• Technology experts:
  • Zanasi & Partners – Z&P (Italy);
  • Centre for Research & Technology Hellas – CERTH (Greece);
  • Technische Universiteit Eindhoven – TU/e (Germany);
  • Centre for Security Studies – KEMEA (Greece);
• Legal and ethics experts:
  • Trilateral Research (Ireland);
  • European Citizen Action Service – ECAS (Belgium);
  • Eticas Research and Innovation – ERI (Spain);
• Security practitioners (LEAs):
  • Hellenic police – HP (Greece);
  • Hochschule fur den Offentlichen Dienst in Bayern – BayHfoD (Germany);
  • Akademia Policajneho Zboru V Bratislave – APZ (Slovakia);
  • Polizia municipale Città di Torino – PLTO (Italy).

Z&P will lead WP5, devoted to Dissemination, Communications and Sustainable Community Engagement. In particular, the team will be in charge of the development of the popAI platform. This digital platform will function as central access and collaboration framework for the consortium partners and the external community. Relying on its experience, Z&P will lead the definition of the two roadmaps for short and long terms. In addition, as the partner responsible for the Stakeholder Advisory Board, Z&P will engage with the community of experts and relevant actors, exploiting its already vast network.

NOTIONES proposal has been accepted!

Zanasi & Partners has been awarded NOTIONES (iNteracting netwOrk of inTelligence and security practitiOners with iNdustry and acadEmia actorS) proposal, coordinated administratively by Tecnalia and techno-scientifically by Z&P, funded under the H2020 framework programme. This is the third project techno-scientifically coordinated by Zanasi & Partners, after PYTHIA and SOLOMON (PADR-funded) and the fourth in the field of security and defence (with DECISMAR, EDIDP-funded).

NOTIONES finds its roots in this landscape. Emerging technologies are gaining increasing attention in the defence and security domains, looking at the innovation they could bring to equipment and defence forces. NOTIONES transfers this concept into the intelligence domain (not only LEA-related).

The overall objective of NOTIONES is to build a network of practitioners from security and intelligence services of EU Member States and Associated Countries, aiming at identifying which emerging technologies will be more relevant to address the future needs and priorities of EU security and public services.

The project, starting in 2021 and terminating in 2026, can leverage on a multitude of expertise and competences: the 30 partners include academia, think-tanks, research centres, technology providers and practitioners from military, civil, financial, judiciary, local, national and international security and intelligence services. Geographically, the consortium covers 4 main areas: West Europe, North Europe, Mittle Europe and Middle East.

More specifically, the consortium consists of:

• Tecnalia (Spain);
• Zanasi & Partners (Italy);
• LAUREA University (Finland);
• Bulgarian Defence Institute (Bulgaria);
• Defence Research Institute (France);
• Fondazione ICSA (Italy);
• Bar Ilan University Europe Institute (Israel);
• Agency for the Promotion of European Research (Italy);
• ORT (France);
• VTT Technical Research Centre (Finland);
• Expert System (Italy);
• Saher Europe (Estonia);
• Marketscape (Denmark);
• Tecoms (Italy);
• Synyo (Austria);
• Regional Police Headquarters in Radom (Poland);
• State Agency for National Security (Bulgaria);
• Carabinieri Lt. General Leso (Italy);
• Financial Intelligence Unit (Latvia);
• Border Police (Bosnia Herzegovina);
• International Security and Emergency Management Institute (Slovakia);
• Kharkiv National University of Internal Affairs (Ukraine);
• Ministry of Interior (Georgia);
• Police Service (Northern Ireland);
• Police Authority (Sweden);
• Policia Judiciaria (Portugal);
• National Police – Intelligence Division (Israel);
• Military Academy “General Mihailo Apostolski” (North Macedonia);
• Police University of Bavaria (Germany);
• Jandarma (Turkey).

NOTIONES aims at contrasting the persistent terrorist threat too, by addressing its multiple facets (e.g. the birth of a radical ideology, the propaganda, the financing, etc.). Each of these aspects may be identified and prevented by the activities carried out by security and intelligence services that realise anti-terrorism intelligence-enabled critical awareness by means of intelligence collection, surveillance and cooperative efforts among all the involved organisations.

NOTIONES will monitor the results of academic research and industrial innovation and suggest actions to be followed by academia and industry to address these results towards a useful implementation. NOTIONES will, thus, promote the interaction of technology providers and academy with intelligence and security practitioners, to detect new relevant technologies and evaluate how they could serve their needs. NOTIONES will periodically publish a report, summarising these findings with the purpose of orientating future research project programming and indicating priorities with regards to the industrialisation of the results.

Controlli ai confini personalizzati per ogni passeggero: procedure adattate al livello di rischio (press release)

Adattare i controlli al confine in base al livello di rischio di ogni passeggero: così il progetto europeo TRESSPASS propone nuovi strumenti analitici per modellare e quantificare il rischio associato a ogni passeggero, velocizzando ed ottimizzando le procedure di controllo.

Ognuno di noi sa cosa significhi attraversare un confine: file, burocrazia e stress che possono far iniziare il viaggio con il piede sbagliato. Tutti i passeggeri sono sottoposti allo stesso iter di controlli, basato su regole valide per tutti i passeggeri in transito (sistema cosiddetto “rule-based”), come il controllo dei passaporti, la perquisizione di un veicolo o il passaggio attraverso un metal detector. Se da un lato tale modello garantisce un controllo accurato per tutti i viaggiatori, dall’altro comporta un dispendio di risorse e tempo (vari studi hanno dimostrato che, ad esempio, un passeggero impiega in media oltre un’ora dall’arrivo all’aeroporto al gate di imbarco) per la totalità di essi. In tempi di COVID-19, poi, alle procedure ordinarie si aggiungono il controllo della temperatura e talvolta il tampone: senza un cambio di paradigma, il rischio é pertanto che i tempi si dilatino ulteriormente.

Nonostante questi problemi siano noti ormai da anni, di fatto non è mai stata trovata una soluzione che prevedesse lo svolgimento di controlli con la medesima efficacia ma in un minor tempo. Come uscire dunque da questa impasse? Il progetto TRESSPASS (robusT Risk basEd Screening and alert System for PASSengers and luggage), finanziato dalla Commissione Europea nell’ambito del programma Horizon 2020, punta a sviluppare un nuovo modello di border management europeo tramite cui classificare i passeggeri a seconda del loro diverso livello di rischio (risk-based), proponendo controlli mirati in base al risultato. In altre parole, l’obiettivo di TRESSPASS – coordinato dal centro di ricerca greco Demokritos e comprendente 22 partners da 10 paesi europei – è proporre un nuovo sistema analitico per modellare e quantificare il livello di rischio associato ad ogni passeggero, basato su un insieme di indicatori che possono essere misurati tra i quattro livelli del sistema integrato di border management dell’Unione Europea (EU IBM).

In tale contesto, un contributo importante viene fornito dall’azienda modenese Zanasi & Partners, responsabile della raccolta dei requisiti e delle necessità provenienti dai cosiddetti end users, nonché dell’identificazione degli indicatori di rischio, ovvero caratteristiche e atteggiamenti dei passeggeri che fanno presagire un livello più o meno alto di potenziale pericolo. Tali indicatori vengono stimati sulla base delle informazioni e dei dati ricavati da diverse fonti, tra cui informazioni sul passeggero reperibili tramite ricerche online (e.g. social media), nonché dall’analisi di dati ricavati da sensori e nuove tecnologie (introdotte dai partner tecnici di TRESSPASS) o applicazioni per dispositivi mobili messe a disposizione dei passeggeri. In tal modo, risulta possibile calcolare un livello di rischio da associare ad ogni passeggero per quanto concerne tutte le sue fasi di passaggio (pre, durante, post) attraverso i punti di controllo alle frontiere. Allo stesso tempo, la collaborazione con esperti legali riconosciuti a livello europeo farà sì che le tecnologie utilizzate siano non solo in grado di assicurare il rispetto della privacy dei passeggeri, ma anche di evitare bias cognitivi nei confronti di minoranze e gruppi vulnerabili. Tali attività assumono ulteriore rilevanza alla luce del COVID-19, che sta accelerando la transizione verso procedure di controllo e di riconoscimento sempre più automatiche ma comunque ancora frutto della mente umana.

Per verificare l’efficacia delle soluzioni sviluppate nel corso del progetto – il cui termine è previsto per il Novembre 2021 – TRESSPASS prevede infine lo svolgimento di attività di training e tre simulazioni che riguarderanno i tre principali punti di accesso (aria, mare e terra) e le principali minacce alla sicurezza, tra cui il contrabbando, l’immigrazione illegale, e il terrorismo cross-border.

In sostanza, l’ambizioso obiettivo di TRESSPASS è quello di rivoluzionare l’attuale modello di border management a livello europeo per renderlo più flessibile ed efficace, velocizzando l’iter per i passeggeri ritenuti non pericolosi ed ottimizzando il lavoro delle guardie di frontiera, che potranno dunque concentrare i loro sforzi sui passeggeri ritenuti più a rischio, effettuando controlli ad personam più o meno approfonditi. A tal fine, rimane comunque imprescindibile stabilire un solido rapporto di fiducia reciproca fra viaggiatori (che non devono sentirsi “umiliati” in caso di ulteriori controlli) e addetti al processo di screening (i quali non devono cadere nel tranello di considerare ogni passeggero come un potenziale pericolo). In tal caso, a fronte di un maggiore livello di sicurezza, flessibilità ed efficacia, il viaggio tornerà ad essere un’esperienza rilassante e le lunghe file ai gate diventeranno solo un lontano ricordo.