URENIO. URBAN AND REGIONAL INNOVATION Research. Director: Prof Dr Nicos Komninos

Transcription

1 URENIO URBAN AND REGIONAL INNOVATION Research Aristotle University of Thessaloniki Faculty of Engineering Thessaloniki Tel: Fax: Website: Director: Prof Dr Nicos Komninos

2 A. Research: 100 projects from the EU and international organisations OECD, UNIDO, UNEP

3 Research collaboration The Urban and Regional Innovation Research is a University Lab at the Aristotle University of Thessaloniki. URENIO research is mainly competitive research funded by the European R&D framework programmes (FP7, H2020), CIP, and programmes of Interregional Cooperation (Interreg, MED, South Est Europe, and other). COMPANIES HP (Italy), AIRBUS (Fr), CASSIDIAN (Fr), ATHOS (Fr), KEMA-DNV (NL), ARIADNA (Sp), EUROPEAN DYNAMICS (Gr), ALFAMICRO (Pt), PLANET MED (Sp), ICF (USA) UNIVERSITIES & RESEARCH INSTITUTES CATHOLIC UNIVERSITY OF LOUVAIN; RESEARCH AND TECHNOLOGY INSTITUTE OF MAASTRICHT; TECHNICAL UNIVERSITY OF MILAN; UNIVERSITY OF MONTPELLIER; UNIVERSITY OF SOCIAL SCIENCES OF TOULOUSE; UNIVERSITY OF WALES, CARDIFF; UNIVERSITY OF LULEA; UNIVERSITY OF BREMEN; CNRS, KINGSTONE UNIVERSITY. TECHNOLOGY ORGANISATIONS ANDALUSIA TECHNOLOGY PARK ; ARCHIMEDES, ESTONIA; CENTRO SVILUPO, AOSTA; FUNDACION LABEIN; FUNDECYT, EXTREMADURA; JOSEF STEFAN INSTITUTE, SLOVENIA; INFYDE, BILBAO; INSTITUT JULES DESTRE; KENT TECHNOLOGY TRANSFER CENTRE; LEIA TECHNOLOGY CENTRE, ALAVA; PRONOVUM, HUNGARY; STEINBEIS FOUNDATION, STUTTGART; TAGUS TECHNOLOGY PARK; TALOS, CYPRUS; TECH TIROL, LOWER AUSTRIA; TECH PARK OULU; TEKES FINLAND; ZENIT, MULHEIM REGIONAL AUTHORITIES BASQUE COUNTRY; CENTRAL MACEDONIA; IONIAN ISLANDS; NORTH RHIN WESTFALIA; LORRAINE; MANTOVA; SOUTHERN AEGEAN; SW OLTENIA, ROMANIA; THESSALY; WALES; W. MACEDONIA

4 Cluster Cluster Res. Inst. Tech Park Research field / research orientations INTELLIGENT CITIES / INNOVATION SYSTEMS Digital disruption of innovation within intelligent places and environments, including: 1. Evolution of innovation systems: Emergence of intelligent and smart cities. Digital disruption of innovation. Userdriven innovation. Smart environments and innovation-for-all. 2. Structure and function of intelligent cities: Intelligent city profiles. Components. Knowledge processes. Innovation circuits. Architectures of spatial intelligence. Distributed intelligence within cities. 3. Strategies and applications for intelligent cities: Strategy profiles. Strategic planning stages and roadmap. Problems and strategy domains. Applications design and development. Ontologies and apps design. Business models. Measurement and assessment. Technology Transfer Organisations Tech Parks, Tech Networks, Brokers, Consultants e-intelligence e-innovation Innovation Financing Banks, Business Angels, Venture Capital, Regional Incentives CLUSTERS Group of companies in cooperation Vertical / Horizontal Universities / Research Institutes Public R&D Laboratories Private R&D Departments and Centres Technology Information System Patents, Standards, Technical Publications, Emerging Markets, Foresight Digital Cyber Intelligent Smart e-technologies Dev. Org. Univ. Labs e-markets Layer III. Digital spaces / Smart environments Layer II. Innovation institutions, Governance Layer I. Agglomeration, clusters and networks

5 1: Digital disruption of innovation systems -> Internet enabled, global, user-driven ecosystems RESEARCH AND TECHNOLOGICAL DEVELOPMENT Research institutes University research R&D in large companies Innovative SMEs INNOVATION FINANCE Venture capital funds Technology incentives Regional incentives and aids Spin-offs / start-ups TECHNOLOGY TRANSFER Co-operation between universities and companies Technology brokerage Licensing NEW PRODUCT DEVELOPMENT Provision of management, product, market, and quality services Specialised centres Business consultants PROCESS INNOVATION Clusters and networks Technology co-operation Supply chains Alliances Distribution & Promotion Business sectors Business clusters Public R&D Private R&D University R&D User-driven in smart environments Suplie rs Suplie rs Suplie rs Suplie rs Company (ies) Custo mers Custo mers Users CLOUD Financing Banks, Business Angels, Venture Capital, Regional Incentives, Crowdfunding Government Regional policy; Strategic planning; Business associations; Stakeholders Technology and Information Intermediaries Technology transfer agencies; Consultancy; Tech Networks; Patents; Standards; Market watch Networking achitectures QR CODES AUGMENTED REALITY Technology transfer Reverse engineering R&D based NPD INTERNET OF THINGS

6 2. Structure, function, and architectures of intelligent cities City Routines, needs, problems Innovation economy Investment and entrepreneurship Creativity, research, and innovation Work and labour markets Products and services markets Collaboration and supply chains Living in the city quality of life Housing Health and social care Education Recreation and sports Environment, safety and security City infrastructure and utilities Mobility, transport and parking Energy saving, smart grid, and renewable energy Water management and saving Waste management and valorisation Broadband, wired and wireless City governance Decision making / citizen participation / democracy Government services to citizens City planning / city management Monitoring and benchmarking Innovation system(s) Organisations, institutions, users Suplie rs Suplie rs Suplie rs Business sectors Financing Banks, Business Angels, Venture Capital, Regional Incentives, Crowdfunding Business clusters Suplie rs Company (ies) & Organisations Government Regional policy; Strategic planning; Business associations; Stakeholders Public R&D Private R&D University R&D Custo mers Custo mers Users Technology and Information Intermediaries Technology transfer agencies; Consultancy; Tech Networks; Patents; Standards; Market watch Innovation circuit 1 Innovation circuit 3 Innovation circuit 2 Digital spaces and smart environments Broadband, sensors, digital skills, data, software applications, e-services

7 Architectures of intelligent cities I. Orchestration intelligence: Organized innovation workflow within a community LAND HOUSING Physical space OPERATION COSTS COMMERCIAL ZONE CY 1, 2, 3, 4 TECHNOLOGY LEARNING PEOPLE Digital space KNOWLEDGE BASED FIRMS LABS / PLATFORMS II. Empowerment intelligence: Double loop SKILLS III. Instrumentation intelligence IV. Agglomeration intelligence: Bottom-up creation of apps Future Internet + Embedded Spaces Πηγή: Linked Data and Search: Thomas Steiner (Google Inc, Germany) 27 Apps for the economy, quality of life, utilities, e-governance

8 3. Strategies for intelligent / smart cities Industry Port Transport Hub Central Business District University Campus Technology District Industry clusters and sectors Port Transport hubs CBD Housing Districts 1. L1 - City: Description of City / District / Utility: Challenges and communities 2. L2 - Innovation ecosystem: Information and knowledge processes addressing problems and challenges City and Districts Layer 3: APPS + EMBEDDED SYSTEMS + SOCIAL MEDIA 4 TYPES OF APPLICATIONS INTELLIGENCE E-LEARNING CO-CREATION MARKETPLACE Layer 2: INNOVATION ECOSYSTEMS OF DISTRICTS 4 FUNDAMENTAL PROCESSES: WATCH LEARN INNOVATE - MARKET University Science Parks and Incubators 3. L3 - Digital space and smart environments: web, web 2.0, crowdsourcing, social media, cloud, mobile apps suitable for L1 and L2 4. Strategy: L1-L2-L3 integration and spatial intelligence: Knowledge services - Solution to challenges 5. Applications and solutions development for the city or districts or utilities 6. Business models for new services sustainability Layer 1: CITY DISTRICTS People, Activities, Infrastructure 7. Measurement: KP Indicators for L1, L2, L3 and new services assessment

9 Strategies for intelligent / smart territories in the EU Smart specialisation strategies Digital growth strategies

10 Smart city applications: Cloud, open source, re-use, training X Smart Mirror X Smart Mirror Infra X Smart Mirror Gov Living Valladolid All Core Smart City Apps All X Smart Mirror District Agueda Cluster Thessaloniki Perimeter Manchester CLOUD - IASS & PASS ONLINE LEARNING / CONSULTING APPLICATIONS FOR INTEL CITIES I. Apps for innovation-led economy Smart marketplace Crowdfunding City branding Living-labs / cluster development Technology commercialization II. Apps for transparent governance Improve my city Data visualization Benchmarking III. Apps for safety and security Violence Traffic accidents - vision zero Health risks due to environment IV. Apps better urban environment Zero CO2 city districts Sensor network Air pollution

11 B. Global watch on intelligent cities

12 C. Courses on digital and intelligent cities Digital and Intelligent cities: the landscape N C S A Valladolid X Smart Mirror Agueda All Gov X Smart Mirror Perimeter Cloud Core Infra Cluster Smart City Apps Manchester District Living All 1. Origins and concept Evolution of innovation ecosystems Urbanization. Strategic planning. Experimentation of cities, companies, Labs A family of new concepts and definitions 2. Structure, functions, and spatial intelligence of cities User-driven and global systems of innovation; digital disruption of innovation Smart environments: broadband, cloud, sensors, apps, e-services Intelligent city structuring layers: L1, L2, and L3 Knowledge functions and innovation circuits Architectures of intelligence: Agglom. of apps, orchestration, upskilling, instrumentation 3. Strategic planning, processes and methods Strategies Business models, financial eng., sustainability Measurement and impact assessment 4. Applications, solutions, ontologies Cloud, infrastructure and platforms Data, models, open and linked data Apps for economy, gov., infra, qual. of life X Smart Mirror Thessaloniki X Smart Mirror Digital space smart technologies level S REGIONAL SYSTEM OF INNOVATION P O Public R&D Laboratories CLUSTERS Group of companies in cooperation Vertical / Horizontal Innovation Financing Banks, Business Angels, Venture Capital, Regional Incentives N Universities / Research Institutes Technology Transfer Organisations Tech Parks, Tech Networks, Brokers, Consultants Private R&D and Training Centres Technology Information System Patents, Standards, Technical Publications, Emerging Markets, Foresight Knowledge and innovation level P A Transport hubs Industry I Housing Districts clusters and sectors Port district CBD University Science Parks and Incubators City and Districts People, activities, infrastructure level Design and development of smart city applications Smart city design process Identification of routines Ontologies of smart cities apps Design of user interface Graphic design Application programming tools Content management systems

13 D. Publications

14 E. Spin-off company INTELSPACE SA

15 INTELSPACE SA - Services

16 People The staff of URENIO is 20 people + external contract research Qualifications of the permanent staff: Urban and regional planning Electrical and electronic engineering Computer science, Information technology Civil engineering, mechanical engineering Sociology and economics Applied mathematics and statistics