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[DSC Europe 22] How to educate people about Data Science & AI by putting it all in ONE book! - Christos Tryfonopulous

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[DSC Europe 22] How to educate people about Data Science & AI by putting it all in ONE book! - Christos Tryfonopulous

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This talk will present ENIRISST, an intelligent research infrastructure for shipping, supply chain, transport and logistics, and will focus on the vision, the technologies and the lessons learned in the process. ENIRISST is a novel and fully extendable research infrastructure established in 2019 in Greece and focuses on providing a virtual environment that is realized in a fully extendable way to accommodate current and future extensions. Its goal is to become a widely acceptable, multi-purpose data analytics platform that will unify a wide variety of open data sources and enhance collaborations among different disciplines in the transportation sector. The talk will discuss the architecture that supports a bouquet of services including data cataloging, virtualization, analytics and visualization through the use of open source tools and is designed to become a unified data lake. The ENIRISST technologies involving both traditional and state-of-the-art solutions that include relational databases, noSQL solutions for big data analysis, machine learning suites, data lake engines for live interactive queries and analytics, and popular visualization components, will also be outlined. Subsequently, we will discuss the current status by highlighting currently supported services like national transport model simulations, pollution monitoring e- infrastructures, traffic safety training facilities and data repositories, maritime activity recording and marine/cruise tourism logging, crowdsourced infrastructure registers, multimodal travel advisors, decision support tools for shipping, electronic logistics observatories for freight, logistics and supply chain industries, and intermodal transport operation monitoring tools, and outline our vision on creating a live and growing ecosystem. Finally, we will demonstrate that by resorting to Big Data tools and technologies, ENIRISST has become a de facto center of excellence in south eastern Europe and the first research infrastructure in the fields of shipping and transport in Greece.

This talk will present ENIRISST, an intelligent research infrastructure for shipping, supply chain, transport and logistics, and will focus on the vision, the technologies and the lessons learned in the process. ENIRISST is a novel and fully extendable research infrastructure established in 2019 in Greece and focuses on providing a virtual environment that is realized in a fully extendable way to accommodate current and future extensions. Its goal is to become a widely acceptable, multi-purpose data analytics platform that will unify a wide variety of open data sources and enhance collaborations among different disciplines in the transportation sector. The talk will discuss the architecture that supports a bouquet of services including data cataloging, virtualization, analytics and visualization through the use of open source tools and is designed to become a unified data lake. The ENIRISST technologies involving both traditional and state-of-the-art solutions that include relational databases, noSQL solutions for big data analysis, machine learning suites, data lake engines for live interactive queries and analytics, and popular visualization components, will also be outlined. Subsequently, we will discuss the current status by highlighting currently supported services like national transport model simulations, pollution monitoring e- infrastructures, traffic safety training facilities and data repositories, maritime activity recording and marine/cruise tourism logging, crowdsourced infrastructure registers, multimodal travel advisors, decision support tools for shipping, electronic logistics observatories for freight, logistics and supply chain industries, and intermodal transport operation monitoring tools, and outline our vision on creating a live and growing ecosystem. Finally, we will demonstrate that by resorting to Big Data tools and technologies, ENIRISST has become a de facto center of excellence in south eastern Europe and the first research infrastructure in the fields of shipping and transport in Greece.

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[DSC Europe 22] How to educate people about Data Science & AI by putting it all in ONE book! - Christos Tryfonopulous

  1. 1. ENIRISST: the first data infrastructure for shipping and transport in Greece Assoc. Prof. Christos Tryfonopoulos Department of Informatics & Telecommunications University of the Peloponnese, Greece
  2. 2. v Background on Research Infrastructures v ENIRISST overview v Pillars, Platforms & Services of ENIRISST v ENIRISST Platform Architecture v Current status and future prospects Presentation overview 2 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  3. 3. 1,043 eligible research infrastructures with more than 3,000 services and approximately 755 collaborating organizations (MERIL, April 2020) Research infrastructures (RIs) “Facilities, resources and services that are used by the research communities to conduct research and foster innovation in their fields. Where relevant, they may be used beyond research, e.g., for education or public service.” European Research Infrastructures 3 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  4. 4. Categorization of RIs Social Science and Humanities Biological and Medical Sciences Environmental and Earth Sciences Natural Sciences and Engineering Material Sciences and Analytical Facilities Energy Scientific Areas Based on their mode of operation and available facilities: I. Distributed RIs consist of facilities geographically distributed, with a central distributor and the interconnected national nodes II. Single Sited RIs are located to a geographical place and in some cases additional specific locations designed to provide access to the users (european or international governance) III. Virtual RIs constitute a virtual infrastructure or research environment in which services are provided electronically Virtual RIs are essentially e-infrastructures that “address the needs of European researchers for digital services in terms of networking, computing and data management” 4 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  5. 5. Our vision A scientific e-infrastructure that supports seamless access, use, re-use, and trust of data and services in shipping, logistics and transport INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST) 5 Shipping Logistics Transport Collect and integrate: • third-party data • open-source data • primary (survey) data Develop services based on: • data analytics • programming • simulation/modelling Digital platforms to provide end- users with: • Data as a Service (DaaS) • Knowledge as a Service (KaaS)
  6. 6. ENIRISST v Contribution to GR GDP : 7% (15.2 b€) v 133 m€ income taxes v Unique case of Greek entrepreneurship for half a century v Contribution to GR GDP: 9% à 15.7 b€ v 570,000 SMEs (annual turnover ~74 b€) v 3.7% of working force Transport Shipping Logistics v Contribution to GR GDP : 7.5% v Road safety: 10,848 accidents, 731 deaths, 13,271 injuries v Energy: ~40% of total energy demand ΕNIRISST… Why is it important? 6 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  7. 7. 1. University of the Aegean (UAEGEAN), RI Coordinator 2. National Technical University of Athens (NTUA) 3. University of Piraeus (UNIPI), 4. Aristotle University of Thessaloniki, 5. University of Thessaly (UTH), 6. Democritus University of Thrace (DUTh) 7. University of West Attika (UWA) 8. University of the Peloponnese (UOP) 9. Centre of Planning and Economic Research (KEPE) 10. Hellenic Centre for Marine Research (HCMR) 11. National Center for Scientific Research “Demokritos” (NCSRD) ENIRISST partners 7 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  8. 8. ENIRISST Platforms and Services PLATFORMS Maritime Ecology and Environment ECOMARPOL Shipping & Financial Markets Logistics Passenger Transport Maritime Heritage Infrastructure • Support Decision Making in Shipping Entrepreneurship • Financial Markets and Forecasting Services • … • Freight and Logistics Market Monitoring • Optimization of Supply Chains • … • Business models for Autonomous Vehicles and Mobility-as-a-Service • Platform of Accidents and Promotion of Safe Road User Behaviour • … • Thematic digital library • National Observatory for Historical Research on Shipping • … • Crowdsourced information on infrastructure and financing • Evaluation of infrastructure projects • … • Environmental Risk Analysis and Energy Efficiency • Observatory for Management of Maritime Waste • … SERVICES 8 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  9. 9. Case study: Passenger transport 1. Simulation of urban and interurban passenger trips 2. Multi-modal transport 3. Sea tourism data observatory 4. Mobility-as-a-Service (MaaS) in Greece 5. Road safety observatory 6. Evaluation of transport prosperity indicators 7. Impact of air transport on climate change 8. Usage of autonomous vehicles in Greece 9. Quantitative assessment of social network trends on tourism, migration and transport 9 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  10. 10. Expected Results Basic performance indicators traffic volumes, passenger kilometres, pollutant emissions, demand trends Data Personalised travellers’ data (trip/activity diaries, stated preference experiments, attitudes/perceptions) Network infrastructure data Transport services supply Analytical Tools Transport Simulation Models (e.g. Activity-based models) Data related to innovative transport modes & services (stated preference experiments) ANALYSIS & SIMULATION OF FUTURE SCENARIOS Autonomous vehicles Micromobility Mobility-as-a-Service (MaaS) Impact of innovative modes of transport & services Urban and interurban passenger trips 10 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  11. 11. Expected Results Transport requirements (users & operators) Demand for multimodal transport Information services to users & operators Barriers for seamless use of multimodal transport services Data Data related to multimodal transport (stated preference experiments) Personalised traveller data (household/individual surveys, trip/activity diaries, stated preference experiments, attitudes/perceptions) Traffic volume Network infrastructure data Transport services supply Analytical Tools Data Analysis Recording Current transport networks Modes of transport Econometric demand models Multi-modal transport 11 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  12. 12. Expected results Coastal/Marine transport data observatory Maritime/Cruise transport data observatory Shared use of sailing boats/yachts Data Traffic data statistics Stakeholders requirements Personalised travel data (trip data, social media data, stated preferences results on sea tourism services) Infrastructure data Analytical Tools Analysis of current situation (supply & demand) Stakeholders requirements Users preferences & current trends Econometric demand models Sea tourism data observatory 12 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  13. 13. Impact of air transport on climate change Expected Results Air transport analysis (study area: Aegean sea) Air pollutants emissions estimation Analysis of environmental policies in aviation Data Aggregated air traffic data (air services – flights, airports, transfers, airline companies) Air transport supply data (air ticket prices, aircraft types, airlines network) Analytical Tools Econometric demand models Game theoretic competition modelling Estimation of air pollutants emissions Data related to the implementation of environmental policies in aviation 13 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  14. 14. Trends on tourism, migration and transport Expected Results Trends on tourism, transport, and migration Interaction with other ENIRISST services for the exchange of data and support of tools Data Analytical Tools Statistical Analysis Econometric models Geospatial analysis of people preferences Data from social media (Twitter, Facebook, Instagram, Google Places, Trip advisor, etc.) 14 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  15. 15. The architecture aims at designing a platform that follows several important (and sometimes even conflicting) principles v usability – how well a user can use it to achieve a defined goal v efficiency – how fast a defined (processing) goal is achieved v security – a set of policies, procedures, & technologies for protection v expandability – how to easily accommodate additions to its capabilities v reliability – to work as expected for a given amount of time v maintainability – to be able to understand, repair, & enhance it easily Architectural goals 15 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  16. 16. Platform philosophy Completely based on open-source tools Not meant to be a replica of existing sources! Essentially a data lake ◦ able to combine, correlate & leverage the collected data Two primary entities: data providers & consumers ◦main task: matchmaking between entities 16 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  17. 17. Main platform tasks real-time data movement ◦ retrieve data from source, process in memory, avoid replicating data on-premises data movement ◦ for vast datasets, for long-term storage & reuse analysis ◦ using state-of-the-art machine learning suites to extract insights visualization ◦ dashboard-based accessibility of data & their analysis 17 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  18. 18. ENIRISST data platform Two primary entities ◦ data providers ◦ data consumers Matchmaking between data providers & consumers ◦ data cataloging ◦ metadata based-searching ◦ data virtualization 18 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  19. 19. Bird’s eye view of ENIRISST platform storage 19 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  20. 20. Bird’s eye view of ENIRISST platform cataloguing 20 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  21. 21. Bird’s eye view of ENIRISST platform searching 21 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  22. 22. Bird’s eye view of ENIRISST platform visualize 22 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  23. 23. Bird’s eye view of ENIRISST platform ready-to-use machine learning algorithms 23 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  24. 24. Bird’s eye view of ENIRISST platform custom analysis & machine learning tasks 24 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  25. 25. ENIRISST: An evolving ecosystem Constantly adding/incorporating new components v textual information management (Lucene/Solr, …) v graph management (neo4j, …) v maps (open street maps & google maps) Implied functionality (not directly shown here) : v authorization v virtualization v dockerization 25 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  26. 26. ENIRISST+: a recent extension 11 new services to extend the ENIRISST platforms, such as: v install sensors on Greek islands – citizen science/STEM v transport models based on land usage v last mile delivery/pickup by drones v augmented reality for ships in Greek coastline v naval cultural heritage digital library v vision picking in logistics v … 26 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  27. 27. Collaborations and the ENIRISST ecosystem Policy makers Research institutions Companies v Decision support tools v Policy making tools v Innovative research ideas/topics v Support for new researchers v Collaboration v Smart specialization in Shipping, Logistics, and Transport v Support for competitiveness Citizens v Platforms v Accessibility v Citizen science/ STEM education 27 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST) Data lovers/enthusiasts
  28. 28. Indicative MoUs v 22 MoUs – new collaborations are always welcome! v Harvard, MIT, ETH, EPFL, TU Delft, UoCyprus, UoBelgrade, … v Naval museums v Energy institutes v Transportation/logistics centers v Specialized networks (e.g., WISE-ACT) v … 28 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  29. 29. Indicative research output/impact vA successful story of a national research ecosystem v over 80 publications in scientific venues v over 300 senior & junior scientists working in it v attracted over 6m euros in funding vCurrently focusing efforts on v creating a research organization v becoming a European research infrastructure v becoming a hybrid infrastructure (add physical presence) 29 INTELLIGENT RESEARCH INFRASTRUCTURE FOR SHIPPING, SUPPLY CHAIN, TRANSPORT & LOGISTICS (ENIRISST)
  30. 30. We are Changing the World through Data! For more information, please contact us at: enirisst@aegean.gr Assoc. Prof. Christos Tryfonopoulos University of the Peloponnese

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