Presentation given by Alex Gluhak, Digital Catapult, at Open & Agile Smart Cities' annual Connected Smart Cities & Communities Conference 2020 on 23 January in Brussels, Belgium
Presentation given by Alex Gluhak, Digital Catapult, at Open & Agile Smart Cities' annual Connected Smart Cities & Communities Conference 2020 on 23 January in Brussels, Belgium
Open Belgium 5-star linked open data address registryRaf Buyle
This session reports on the development of the 5-star Linked Open Data Address Register.
The first product released by the Flemish Government in line with the Linked Data principles is the Central Reference Address Database (CRAB), containing well over 4 million addresses and their geographical coordinates. The addresses are synchronised in real time between 308 local governments and the Linked Base registry.
A l'occasion de l'eGov Innovation Day 2014 - DONNÉES DE L’ADMINISTRATION, UNE MINE (qui) D’OR(t) - Philippe Cudré-Mauroux présente Big Data et eGovernment.
FIWARE Global Summit - Digital Service Infrastructure for the EU Digital Sing...FIWARE
Presentation by Daniele Rizzi
Principal Administrator and Policy Officer, Connecting Europe Facility Program, European Commission
FIWARE Global Summit
27-28 November 2018
Malaga, Spain
ILKR 2017: No Internet of Things / Industry 4.0 without SemanticsMichael Wetzel
Industry 4.0 and Internet of Things is all about connecting systems. Hardware is plugged together by relying on standardized layers and networks. But what we really want is that these devices speak to each other; they interoperate. This requires a mutual understanding of what they actually do, like “I measure temperature. What do you measure?” The answer is in the semantic of the devices’ metadata: often textual, multilingual.
Without such semantic interoperability devices will not be able to speak to each. If human intervention is necessary the IoT with billions of devices will remain a nice buzzword for a great vision.
SC6 Workshop 1: What can big data do for you? BigData_Europe
Presentation by Sören Auer, Fraunhofer IAIS, Coordinator of Big Data Europe, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
Presentation by Nils Walravens at Open Belgium 2018 - http://2018.openbelgium.be/session/smart-flanders-how-flemish-cities-are-tackling-urban-challenges-together-through-open-data
Webinar on 17 of May 2022.
Experiences from the IRIS Lighthouse Cities.
Urban Data Platforms are at the core of the digital transformation and the basis for data-driven solutions addressing the challenges of today’s cities and communities. An Urban Data Platform exploits modern digital technologies to bring together and integrate data flows within and across city systems and make data (re)sources accessible to participants in the cities’ ecosystem. The easy sharing of city data between city services, organizations, companies, and citizens provides many positive outcomes for society:
• can help streamline urban mobility systems
• deliver improved health and well-being outcomes
• reduce energy consumption and support the use of local low-carbon energy
• connecting city assets to enable more joined-up multi-purpose services and infrastructures
Open Belgium 5-star linked open data address registryRaf Buyle
This session reports on the development of the 5-star Linked Open Data Address Register.
The first product released by the Flemish Government in line with the Linked Data principles is the Central Reference Address Database (CRAB), containing well over 4 million addresses and their geographical coordinates. The addresses are synchronised in real time between 308 local governments and the Linked Base registry.
A l'occasion de l'eGov Innovation Day 2014 - DONNÉES DE L’ADMINISTRATION, UNE MINE (qui) D’OR(t) - Philippe Cudré-Mauroux présente Big Data et eGovernment.
FIWARE Global Summit - Digital Service Infrastructure for the EU Digital Sing...FIWARE
Presentation by Daniele Rizzi
Principal Administrator and Policy Officer, Connecting Europe Facility Program, European Commission
FIWARE Global Summit
27-28 November 2018
Malaga, Spain
ILKR 2017: No Internet of Things / Industry 4.0 without SemanticsMichael Wetzel
Industry 4.0 and Internet of Things is all about connecting systems. Hardware is plugged together by relying on standardized layers and networks. But what we really want is that these devices speak to each other; they interoperate. This requires a mutual understanding of what they actually do, like “I measure temperature. What do you measure?” The answer is in the semantic of the devices’ metadata: often textual, multilingual.
Without such semantic interoperability devices will not be able to speak to each. If human intervention is necessary the IoT with billions of devices will remain a nice buzzword for a great vision.
SC6 Workshop 1: What can big data do for you? BigData_Europe
Presentation by Sören Auer, Fraunhofer IAIS, Coordinator of Big Data Europe, at the first workshop of Societal Challlenge 6 in the BigDataEurope project, taking place in Luxembourg on 18 November 2015.
http://www.big-data-europe.eu/social-sciences/
Presentation by Nils Walravens at Open Belgium 2018 - http://2018.openbelgium.be/session/smart-flanders-how-flemish-cities-are-tackling-urban-challenges-together-through-open-data
Webinar on 17 of May 2022.
Experiences from the IRIS Lighthouse Cities.
Urban Data Platforms are at the core of the digital transformation and the basis for data-driven solutions addressing the challenges of today’s cities and communities. An Urban Data Platform exploits modern digital technologies to bring together and integrate data flows within and across city systems and make data (re)sources accessible to participants in the cities’ ecosystem. The easy sharing of city data between city services, organizations, companies, and citizens provides many positive outcomes for society:
• can help streamline urban mobility systems
• deliver improved health and well-being outcomes
• reduce energy consumption and support the use of local low-carbon energy
• connecting city assets to enable more joined-up multi-purpose services and infrastructures
Cloud technology will be the backbone infrastructure for more sustainable cities of the future, but you can start transforming your city today. AWS and our partner ecosystem can help you implement smart city solutions to support your goals around energy efficiency, air quality, intelligent transportation, public safety, public health, and other programs focused on improving quality of life for your citizens.
What makes a city smart? Your data and your vision! By leveraging the multiple data sources that you have today and integrating additional datasets, you can design modern programs and services that make a city smart. Through sensors, connectivity, and analytics, AWS can help you begin your transformation.
Smart Cities and Gigabit Networks: An Overview by Ruthbea Yesner ClarkeGigabit City Summit
Smart Cities and Gigabit Networks: An Overview was presented by Ruthbea Yesner Clarke, founder and global director of the Smart Cities Strategies practice at IDC, at the 2017 Gigabit City Summit.
The Inspire Helsinki 2019 event brought together around 170 people from 29 countries to foster discussion and new ideas on how to realise the full potential of spatial data. The three-day event featured data challenges, practical hands-on workshops and future-oriented keynote presentations. The event was summed up in a panel discussion, in which perspectives on tackling remaining challenges were brought up.
Inspire Helsinki 2019 - Keynote Hanna Niemi HugaertsHannaHorppila
The Inspire Helsinki 2019 event brought together around 170 people from 29 countries to foster discussion and new ideas on how to realise the full potential of spatial data. The three-day event featured data challenges, practical hands-on workshops and future-oriented keynote presentations. The event was summed up in a panel discussion, in which perspectives on tackling remaining challenges were brought up.
The event presents real-life examples from European organisations that have used the Rulebook for Fair Data Economy to develop data-driven business. The online event was organised on 3 March 2021 by Sitra.
Presentations:
- Jaana Sinipuro, Sitra
- Olli Pitkänen, 1001 Lakes
- Marko Turpeinen, 1001 Lakes
- Lars Nagel, International Data Spaces Association
- Cátia Pinto, Serviços Partilhados do Ministério da Saúde
- Matthias De Bièvre, aNewGovernance
Local Open Data: A perspective from local government in England by Gesche SchmidOpening-up.eu
Local Open Data: A perspective from local government in England
to help government and companies to
develop innovative services through the
use of open data and to encourage smart
use of Social Media
In recent years governments and research institutions have emphasized the need for open data as a fundamental component of open science. But we need much more than the data themselves for them to be reusable and useful. We need descriptive and machine-readable metadata, of course, but we also need the software and the algorithms necessary to fully understand the data. We need the standards and protocols that allow us to easily read and analyze the data with the tools of our choice. We need to be able to trust the source and derivation of the data. In short, we need an interoperable data infrastructure, but it must be a flexible infrastructure able to work across myriad cultures, scales, and technologies. This talk will present a concept of infrastructure as a body of human, organisational, and machine relationships built around data. It will illustrate how a new organization, the Research Data Alliance, is working to build those relationships to enable functional data sharing and reuse.
In the third part of the workshop series Smart Policies for Data, we will focus on two central building blocks – interoperability and balanced data sharing.
The presentations of the event:
- Szymon Lewandowski, DG CONNECT, European Commission
- Marko Turpeinen, CEO, 1001 Lakes
- Lars Nagel, CEO, International Data Spaces Association
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.
This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.
Intro - Three pillars for building a Smart Data Ecosystem: Trust, Security an...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
Three pillars for building a Smart Data Ecosystem: Trust, Security and PrivacyBig Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
Market into context - Three pillars for building a Smart Data Ecosystem: Trus...Big Data Value Association
Today’s data marketplaces are large, closed ecosystems that are in the hands of few established players or a consortium that decide on the rules, policies, etc.
Yet, the main barrier of the European data economy is the fact that current data spaces and marketplaces are “siloes”, without support for data exchange across their boundaries.
This webinar reveals how these boundaries can be overcome through the i3-MARKET “backplane”, which is an infrastructure able to connect all the stakeholders providing the suitable level of trust (consensus-based self-governing, auditability, reliability, verifiable credentials), security (P2P encryption, cryptographic proofs) and privacy (self-sovereign identity, zero-knowledge proof, explicit user consent).
BDV Skills Accreditation - Future of digital skills in Europe reskilling and ...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BDV Skills Accreditation - Recognizing Data Science Skills with BDV Data Scie...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
EIT label intro by Rroberto Prieto
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
Muluneh Oli (EIT Digital)
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BDV Skills Accreditation - Definition and ensuring of digital roles and compe...Big Data Value Association
The objective of the workshop is to highlight the need for a pan European level skill recognition for Big Data that stimulates mobility and fulfils the definition of overarching Learning Objectives & Overarching Learning Impacts. It is also meant to get feedback on the formats that are being prepared namely, usage of Badges, Label and EIT Label for professionals.
BigDataPilotDemoDays - I BiDaaS Application to the Manufacturing Sector WebinarBig Data Value Association
The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BDV PPP projects I-BiDaaS, BigDataStack, Track & Know and Policy Cloud deliver innovative technologies to address the emerging needs of data operations and applications. To fully exploit the sustainability and take full advantage of the developed technologies, the projects onboarded pilots that exhibit their applicability in a wide variety of sectors. In the Big Data Pilot Demo Days, the projects will showcase the developed and implemented technologies to interested end-users from the industry as well as technology providers, for further adoption.
One of the main goals of the I-BiDaaS project is to provide a Big Data as a self-service solution that will empower the actual employees of European companies in targeted sectors (banking, manufacturing, telecom), i.e., the true decision-makers, with the insights and tools they need in order to make the right decisions in an agile way. In this big data pilot webinar, we will demonstrate in a step by step fashion the I-BiDaaS self-service solution and its application to the banking sector. In more detail, we will present an overview of the I-BiDaaS project focusing on the requirements of the CaixaBank pilot study, the I-BiDaaS architecture with its core technologies, and a step by step demo of the I-BiDaaS solution. Last but not least, we will show through CaixaBank's success story how I-BiDaaS can resolve data availability, data sharing, and breaking silos challenges in the banking domain.
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
Virtual BenchLearning - I-BiDaaS - Industrial-Driven Big Data as a Self-Servi...Big Data Value Association
At the heart of this DataBench webinar is the goal to share a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
The webinar aims to provide the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies, by providing real insights coming from DataBench. In addition, representatives from other projects part of the BDV PPP such as DeepHealth and They-Buy-for-You will participate to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI. The perspective of other projects that also have looked into benchmarking, such as Track&Now and I-BiDaaS will be introduced.
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
Policy Cloud Data Driven Policies against Radicalisation - Participatory poli...Big Data Value Association
The problem of radicalisation is very high on the European agenda as increasing numbers of young European radicals return from Syria and use the internet to disseminate propaganda. To enable policy makers to design policies to address radicalisation effectively, Policy Cloud consortium will collect data from social media and other sources including the open-source Global Terrorism Database (GTD), the Onion City search engine which accesses data over the TOR dark web sites, and Twitter ( through Firehose). The data will be analysed using sentiment analysis and opinion mining software.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
1. Research Institutes of Sweden
(Lack of) data in the cities
European big data value forum
Helsinki, Oct 15th 2019
Claus Popp Larsen
Head of Connected Cities
4. Data in the cities today
Open data Locked data ”IoT data”
Different formats.
May be inaccurate
or outdated data.
Locked for various reasons –
historical, technically,
practically, by a vendor.
May be open, shared or
locked-in. Low volumes,
increasing rapidly.
The majority of the services and solutions in the cities will be
datadriven tomorrow.
Who is going to own an control tomorrow’s data?
€
5. ✓ Open data often has poor quality unless it is a byproduct of restricted data.
Lack of responsibility and accountability. Open data may need restrictions.
✓ Locked data has often high quality but is only meaningful for a specific
application. And it is not available.
✓ Sharing restricted data requires a centralized municipal data platform with
access control to become economicably viable (open data does not)
✓ Large scale data-driven innovation requires common standards
Open vs restricted data
Open data
Restricted data
Locked data
Shared data
6. ✓ Today’s (analogue) processes can be
made more efficient
✓ Better understanding, better overview,
better decisions and planning
✓ Data from one place can be used
elsewhere – new types of services
from new types of actors
✓ Involving citizens in new completely
ways
The city as a platform for datadriven innovation
Almost everything is possible with today’s technology
7. ✓ Data should be collected and made available in a structured way with open
standards
✓ The (Swedish/European) cities should agree on a common technical
framework (digital infrastructure)
✓ Requires collaboration within a city
✓ Requires collaboration between cities
✓ Will lead to organisational changes
✓ Open platforms will lead to ned relations with the city suppliers -
servicification
Data driven innovation in the cities
- How do we get there?
The cities must take control
over their data and make it
easy for others to contribute
with datadriven innovation
8. City as a Platform, CaaP
▪ Project within the Strategic Innovation
Program (SIP) Viable Cities
▪ Funded by Vinnova
▪ Alligned with European initiatives
▪ Project vision
By working with a minimum framework in a
structured and collaborate way it should be
possible to:
▪ share data within a city
▪ move data driven services between cities
Skellefteå
Umeå
Kalmar
Hudiksvall
Uppsala
Stockholm
Karlskrona
Malmö
Lund
Göteborg
Helsingborg
Halmstad
Ängelholm
Linköping
Sundsvall
Örebro
Eskilstuna
Västerås
9. How to find consensus around standardized interfaces that deal with
composition of the platform - without constraining innovation too much?
The principle of Pivotal Points of Interoperability (PPI)
From the IES-CityFramework_Version_1_0_20180930.pdf
Everything is
standardized:
innovation is
stifled
Nothing is
standardized:
non-interoperability
& integration issues
10. Minimum viable
framework for data/IoT
platform
API
Data models
Open shared platform
❑ Access control
❑ Ownership of data
❑ Security & integrity
❑ Market place
❑ New business models
❑ Storage
S S
S
Processing / Services
❑ Visualization
❑ Analysis
❑ Decision
❑ Etc.
Data layer
Data exchange layer
Application layer
Filmen
11. The majority of the services and solutions in the
cities will be datadriven tomorrow.
The cities must take control over their data!
✓ Take ownership of data – already in the procurement
✓ Make sure data has high quality and is up to date
✓ Do information classification (risks & consequences)
✓ Use standardized data models
✓ Make data available to third party over standardized API
✓ Responsibilities and service level agreements
No data, no AI !