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European Commission Calls of interest for Snap4City, DISIT lab

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DISIT Lab, University of Florence, Snap4City/Snap4Industry

Distributed Systems and Internet Technologies Lab, Distributed Data Intelligence and Technologies Lab
Https://www.disit.org, https://www.snap4city.org
Director: Prof. Paolo Nesi, paolo.nesi@unifi.it
Department of Information Engineering, DINFO
University of Florence, Italy
Version: 4.1
Date: 09-06-2021

In the following the profile of DISIT lab is reported. On the other hand, there are a number of companies that work on Snap4City technologies  such as: Snap4, AEDIT, Syn-Er-Gy, Smartea, etc. which could be involved when a company is needed. Snap4City is also in connection with many cities and administrator and industrial partners.

The University of Florence (UNIFI) is an important and influential centre for research and higher training in Italy, with 1,800 lecturers and internal research staff, 1,600 technical and administrative staff, and over 1,600 research assistants and doctoral students. It offers a wide range of study programmes at various levels and in all areas of knowledge. It is one of the largest and most productive public research systems in Italy. UNIFI participates at the project with Information Engineering Department (DINFO) - Distributed Systems and Internet Technologies Lab (DISIT Lab).

The DISIT Lab is active since 1994, as one of the most active labs on ICT of the University of Florence, metropolitan Tuscany area, and it is an official Regional Lab in Tuscany. DISIT successfully developed a relevant number of International and National research, development and innovation projects and direct contract with industries and public administrations mainly cities and regions. DISIT Lab is strongly active in the area of Smart City and communities, industry 4.0, data mining and understanding, semantic computing, artificial intelligence, big data, data analytics, knowledge mining and representation, semantic models, linked open data, formal models, security and privacy, GDPR. Are noticeable DISIT algorithms and solutions for: early warning, anomaly detections, predictions, traffic flow reconstruction and predictions, smart parking, smart biking, bike sharing, recognition, disambiguation, user behaviour analysis, pollutant flow predictions, recommendation, user profiling, indoor/outdoor navigation, matchmaking, decision support, sentient and autonomous agents and tools, 15Min Indexing for cities, etc.

In the recent years, a special attention has been given to big data analysis for people flows, pedestrian, and vehicles by means of data analysis coming from mobile, sensors, cell phones, etc., such as evident from the publications and projects. The DISIT research group consists of about 20 people working on smart city, industry 4.0, data analytics, big data analysis with a special care to on domains of mobility and transport, environment, energy, health, justice, retail, quality of life. DISIT lab has a dedicated datacenter for bigdata solutions on which https://www.snap4city.org and Twitter Vigilance are operated, providing services for a large number of cities and regions.

With Snap4City infrastructure DISIT lab is providing services and/or managing data to:

  • Italy: Firenze (I),Lonato del Garda (I),Pisa (I),Pistoia (I), Lucca (I), Arezzo (I), Grosseto (I), Livorno (I), Siena (I), Massa (I), Modena (I), Cagliari (I), Venezia (I), Roma (I),Prato (I),
  • Europe: Helsinki (Fi), Antwerp (B), Valencia (S), Pont Du Gard (Fr), WestGreece (Gr), Mostar (Bosnia), Dubrovnik (Croatia), Santiago di Compostela (S), Sweden (Svealand Region), etc.; 
  • regions as Tuscany (I), Garda Lake (I), Sardegna (I), Belgium (B), Finland (Fl), Emilia Romagna (I), Spain (S), WestGreece (Gr), Occitanie (Fr).
  •  

Other Snap4City infrastructures are on: AEDIT on PISA, ALTAIR, Snap4, etc. 

DISIT Lab is/has working/worked for many relevant public administrations in Italy, France, Belgium, Finland, Spain, Sweden, Croatia, Bosnia, Greece, etc. and also for: ISPRA JRC of the European Commission, ANCI, Tuscany Region, etc.

DISIT Lab is well known at international level on Smart Cities for its implementations as:

  • Methodology for Smart Cities and Living Lab setup: analysis of needs and requirements, smart innovation analysis, smart city ICT aspects design, infrastructure setup (from cloud to control room and Apps), training of the stakeholders from data ingestion to smart city management and control room conduction, maintenance. 
  • Smart City Control Rooms to keep under control in a city or area: mobility and transport, energy and sustainability, safety, security, risk assessment and resilience strategies, environmental conditions, etc. With solutions for data gathering, data aggregation, indexing, data intelligence, business intelligence, visual analytics and dashboards design and implementation;
  • Smart algorithms and tools for: traffic flow reconstruction, parking, user engagement, assessment of people flows, assessment of origin destination matrices, analysis of the offer of transportation vs demand of mobility, social media analysis, environmental data predictions, predictive maintenance, etc.;
  • Decision support systems for smart city, industry 4.0 as early warning tools behind control rooms and smart systems;

Recent Projects and Contracts:

Active Infrastructures, Achievements and Services

Coordinator of DISIT lab and Snap4City, Snap4Industry

Prof. Paolo Nesi (Male) (https://www.disit.org/nesi ). He is full professor since 2001 He obtained the PhD in the University of Padova and he conducted a period in the IBM research labs in Almaden (California). For two years he has been included in the first 15 researchers at international level in the Software Engineering area, the unique Italian. Its research skills include: data analysis, big data, smart city, IOT, security and privacy, GDPR, DRM, distributed systems technologies, artificial intelligence, cloud systems, smart systems, intelligent content, LOD, data mining. He has been member many international conference committees and editor in international publications and journals. Paolo Nesi published more than 300 articles in international  journals and congresses and has been chair and/or programme chair of: IEEE SC2, IEEE ICSM, IEEE ICECCS, DMS, AXMEDIS, WEDELMUSIC, CSMR, and program committee member of IEEE ICSE, IEEE ICECCS, IEEE ICSM, IEEE METRICS, DMS, ICSOFT, DATA, SPIE, SEKE, WEDELMUSIC, IIMS, SEW, Virtual Content, IFIP, and others. Prof. Paolo Nesi is full professor of Distributed Systems, and of Big Data Architectures at University of Florence, in degrees and PhD Courses. Prof. Paolo Nesi has been project manager of many big sized European research and innovation projects, like: Snap4City, RESOLUTE, ECLAP, AXMEDIS, MOODS, I-MAESTRO, WEDELMUSIC, MUSICNETWORK and for the Department in many other European Projects, like REPLICATE, MOBIMART, HERITDATA, WEEE, ICCOC, MUPAAC, VISICON, OPTAMS, IMUTUS, and IMEASY. And of many industrial large projects such as Sii-Mobility, Ampere, Soda, Enterprise, Collabora, Feedback, ICARO CLOUD, TRACE-IT, RAISSS, SACVAR. He is an official trainer and consultant of FIWARE. He has been coordinator of the Ad-Hoc Group for ISO MPEG-SMR standard and co-author of the ISO MPEG-SMR. Prof. Paolo Nesi is coordinator and responsible of the DISIT Lab of the University of Florence (https://www.disit.org) .

Publications : https://www.disit.org/5487

Call of Interest on CLUSTER 4

HORIZON-CL4-2021-TWIN-TRANSITION-01-02: Zero-defect manufacturing towards zero-waste (IA)

HORIZON-CL4-2021-TWIN-TRANSITION-01-07: Artificial Intelligence for sustainable, agile manufacturing (IA)

HORIZON-CL4-2021-TWIN-TRANSITION-01-08: Data-driven Distributed Industrial Environments (IA)
HORIZON-CL4-2021-TWIN-TRANSITION-01-10: Digital permits and compliance checks for buildings and infrastructure (IA)

HORIZON-CL4-2021-TWIN-TRANSITION-01-11: Automated tools for the valorisation of construction waste (RIA)

HORIZON-CL4-2021-TWIN-TRANSITION-01-12: New breakthrough technologies for technological sovereignty in construction (IA)

HORIZON-CL4-2021-TWIN-TRANSITION-01-14: Deploying industrial-urban symbiosis demonstrators for the utilisation of energy, water, industrial waste and by products at regional scale (RIA)

HORIZON-CL4-2021-TWIN-TRANSITION-01-15: Circularity flows for solid waste in urban environment (IA)

HORIZON-CL4-2021-RESILIENCE-01-24: Optimized Industrial Systems and Lines through digitalisation (IA)

HORIZON-CL4-2022-RESILIENCE-01-25: Optimized Industrial Systems and Lines through digitalisation (IA)

HORIZON-CL4-2021-RESILIENCE-01-26: Sustainable Industry Commons (RIA)

  • AI algorithms and solutions: environment, mobility,
  • Trustworthy AI, explainable AI
  • Digital Twin solutions: building scale and city scale
  • Green Deal objectives
  • Data driven increase resilience of buildings and infrastructures
  • Predictive maintenance, early warning, anomaly detection
  • Sensor networks, data aggregation, semantic models
  • BIM GIS interoperability
  • Prediction and control of pollutants/aerosol, CO2, NO2, GHG; taking into account 3D flows
  • Industrial-Urban Symbiosis (I-US)
  • Data flow vs work flow interoperability
  • What-if analysis
  • Ontology development
  • Big Data provider
  • KPI modelling and computing
  • 3D reconstruction, mounted display, virtual environments

HORIZON-CL4-2021-DATA-01-01: Technologies and solutions for compliance, privacy preservation, green and responsible data operations (RIA)

HORIZON-CL4-2021-DATA-01-03: Technologies for data management (IA)

HORIZON-CL4-2021-DATA-01-04: Extreme data mining, aggregation and analytics technologies (RIA)

HORIZON-CL4-2021-DATA-01-05: Future European platforms for the Edge: Edge Operating Systems (RIA)

HORIZON-CL4-2021-DATA-01-06: Programming Environments and Tools for Decentralised Intelligence (RIA)

HORIZON-CL4-2021-DATA-01-08: Roadmap for next generation computing and systems technologies (CSA)

  • Trustworthy AI, explainable AI, resilient AI
  • GDPR platform testing and verification
  • Data sharing and data space federation
  • Ontology development
  • Data interoperability, data aggregation and semantic processing
  • IoT interoperability, edge, fog and cloud
  • Big data management
  • Data discovery and data surrogates/replacements
  • No-code online collaborative distributed developing environment
  • AI algorithms and solutions
  • Data flow vs work flow interoperability
  • What-if analysis
  • KPI modelling and computing

HORIZON-CL4-2021-DIGITAL-EMERGING-01-09: AI, data and Robotics for the Green Deal (IA)

HORIZON-CL4-2021-DIGITAL-EMERGING-01-10: AI, data and Robotics at work (IA)

HORIZON-CL4-2021-DIGITAL-EMERGING-01-11: Pushing the limit of robotics cognition (RIA)

  • AI algorithms and solutions: environment, mobility
  • Trustworthy AI, explainable AI
  • Ontology development for cognitive reasoning
  • Green Deal objectives
  • No-code online collaborative distributed developing environment
  • Predictive maintenance, early warning, anomaly detection
  • Sensor networks, data aggregation, semantic models
  • Prediction and control of pollutants/aerosol, CO2, NO2, GHG; taking into account 3D flows
  • Data flow vs work flow interoperability
  • What-if analysis
  • Big Data provider
  • KPI modelling and computing

HORIZON-CL4-2021-SPACE-01-41: Copernicus Climate Change Service evolution

HORIZON-CL4-2021-SPACE-01-42: Copernicus Atmosphere Monitoring Service Evolution

HORIZON-CL4-2021-SPACE-01-43: Copernicus Security and Emergency Services evolution

  • Copernicus data processing for smart city and industry
  • Simplified data gathering platform for satellite data
  • AI algorithms and solutions: environment, mobility, terrain sliding
  • Trustworthy AI, explainable AI
  • Ontology development for cognitive reasoning
  • Green Deal objectives

HORIZON-CL4-2021-HUMAN-01-01: Verifiable robustness, energy efficiency and transparency for Trustworthy AI: Scientific excellence boosting industrial competitiveness (RIA)

HORIZON-CL4-2021-HUMAN-01-03: European Network of AI Excellence Centres: towards the European AI lighthouse (RIA)

HORIZON-CL4-2021-HUMAN-01-04: Trust & data sovereignty on the Internet (RIA)

HORIZON-CL4-2021-HUMAN-01-05: Trustworthy open search and discovery (RIA)

HORIZON-CL4-2021-HUMAN-01-13: eXtended Reality Modelling (RIA)

HORIZON-CL4-2021-HUMAN-01-14: eXtended Reality for All – Haptics (RIA)

  • AI algorithms and solutions
  • Trustworthy AI, explainable AI, transparent AI
  • Ontology development for cognitive reasoning
  • symbolic and hybrid approaches
  • No-code online collaborative distributed developing environment
  • Data flow vs work flow interoperability
  • What-if analysis
  • Big Data provider
  • Testing AI algorithms on different contexts: smart city, industry, human behaviour, mobility,
  • KPI modelling and computing
  • Interoperating with haptic devices, data collection and control data driven 

 

Call of Interest on CLUSTER 5 – climate, energy, mobility

HORIZON-CL5-2021-D1-01-01: Improved understanding of greenhouse gas fluxes and radiative forcers, including carbon dioxide removal technologies

HORIZON-CL5-2021-D1-01-02: Modelling the role of the circular economy for climate change mitigation

HORIZON-CL5-2021-D1-01-05: Better understanding of the interactions between climate change impacts and risks, mitigation and adaptation options

HORIZON-CL5-2021-D1-01-09: The contribution of forest management to climate action: pathways, trade-offs and co-benefits

  • Copernicus data processing for smart city and industry
  • Simplified data gathering platform for satellite data
  • AI algorithms and solutions: environment, mobility, terrain sliding
  • Prediction and control of pollutants/aerosol, CO2, NO2, GHG; taking into account 3D flows
  • Data interoperability, data aggregation and semantic processing
  • What-if analysis
  • Testing AI algorithms on different contexts: smart city, industry, human behaviour, mobility,

HORIZON-CL5-2021-D2-01-13: Strengthening Social Sciences and Humanities (SSH) research communities in climate, energy and mobility disciplines

HORIZON-CL5-2021-D2-01-14: Accelerating the climate transition in difficult contexts: transition super-labs (pilot)

HORIZON-CL5-2021-D2-01-16: Co-Funded Partnership: Driving Urban Transitions to a sustainable future (DUT)

HORIZON-CL5-2021-D3-01-11: Establish the grounds for a common European energy data space

HORIZON-CL5-2021-D3-01-12: Reinforcing digitalisation related know how of local energy ecosystems

HORIZON-CL5-2021-D3-01-13: Interoperability community

HORIZON-CL5-2021-D4-01-03: Advanced data-driven monitoring of building stock energy performance

HORIZON-CL5-2021-D6-01-01: More powerful and reliable on-board perception and decision-making technologies addressing complex environmental conditions (CCAM Partnership)

HORIZON-CL5-2021-D6-01-03: Physical and Digital Infrastructure (PDI), connectivity and cooperation enabling and supporting CCAM (CCAM Partnership)

HORIZON-CL5-2021-D6-01-04: Cyber secure and resilient CCAM (CCAM Partnership)

HORIZON-CL5-2021-D6-01-05: Analysis of socio-economic and environmental impacts and assessment of societal, citizen and user aspects for needs based CCAM solutions (CCAM Partnership)

HORIZON-CL6-2021-GOVERNANCE-01-17: Common European Green Deal data space to provide more accessible and exploitable environmental observation data in support of the European Green Deal priority actions

  • AI algorithms and solutions
  • Ontology development for cognitive reasoning
  • What-if analysis
  • Big Data provider
  • Testing AI algorithms on different contexts: smart city, industry, human behaviour, mobility,
  • KPI modelling and computing
  • Copernicus data processing for smart city and industry
  • Simplified data gathering platform for satellite data
  • Data interoperability, data aggregation and semantic processing
  • IoT interoperability, edge, fog and cloud
  • Big data management
  • Data discovery and data surrogates/replacements

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