Digital for Planet
Horizon Europe
The 2021 Joint EuCNC & 6G Summit, initiated this year, builds on putting together two successful conferences in the area of telecommunications: EuCNC, in its 30th edition of a series, supported by the European Commission; the 6G Summit, in its 3rd edition, originated from the 6G Flagship programme in Finland, one of the very first in its area. The conference is sponsored by the IEEE Communications Society and by the European Association for Signal Processing, and focuses on all aspects of telecommunications ranging from 5G deployment and mobile IoT to 6G exploration and future communications systems and networks, including experimentation and testbeds, and applications and services. It brings together cutting-edge research and world-renown industries and businesses, globally attracting in the last years more than 1 300 delegates from more than 40 countries all over the world, to present and discuss the latest results, and an exhibition space of more than 1 500 m2 with more than 70 exhibitors, for demonstrating the technology developed in the area, namely within research projects from EU R&I programmes.
Events
ALLDATA 2021 conference tracks:
Challenges in processing Big Data and applications
Data classification: small/big/huge, volume, velocity, veridicity, value, etc; Data properties: syntax, semantics, sensitivity, similarity, scarcity, spacial/temporal, completeness, accuracy, compactness, etc.; Data processing: mining, searching, feature extraction, clustering, aggregating, rating, filtering, etc.; Data relationships: linked data, open data, linked open data, etc. Exploiting big/linked data: upgrading legacy open data, integrating probabilist models, spam detection, datasets for noise corrections, predicting reliability, pattern mining, linking heterogeneous dataset collections, exploring type-specific topic profiles of datasets, efficient large-scale ontology matching etc.; Applications: event-based linked data, large scale multi-dimensional network analysis, error detection of atmospheric data, exploring urban data in smart cities, studying health fatalities, estimating the energy demand at real-time in cellular networks, multilingual word sense disambiguation, creating open source tool for semantically enriching data, etc.
Advanced topics in Deep/Machine learning
Distributed and parallel learning algorithms; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning applications; Machine learning for systems.
Approaches for Data/Big Data processing using Machine Learning
Machine learning models (supervised, unsupervised, reinforcement, constrained, etc.); Generative modeling (Gaussian, HMM, GAN, Bayesian networks, autoencoders, etc.); Explainable AI (feature importance, LIME, SHAP, FACT, etc.); Bayesian learning models; Prediction uncertainty (approximation learning, similarity); Training of models (hyperparameter optimization, regularization, optimizers); Active learning (partially labels datasets, faulty labels, semi-supervised); Applications of machine learning (recommender systems, NLP, computer vision, etc.); Data in machine learning (no data, small data, big data, graph data, time series, sparse data, etc.)
Big Data
Big data foundations; Big data architectures; Big data semantics, interoperability, search and mining; Big data transformations, processing and storage; Big Data management lifecycle, Big data simulation, visualization, modeling tools, and algorithms; Reasoning on Big data; Big data analytics for prediction; Deep Analytics; Big data and cloud technologies; Big data and Internet of Things; High performance computing on Big data; Scalable access to Big Data; Big data quality and provenance, Big data persistence and preservation; Big data protection, integrity, privacy, and pseudonymisation mechanisms; Big data software (libraries, toolkits, etc.); Big Data visualisation and user experience mechanisms; Big data understanding (knowledge discovery, learning, consumer intelligence); Unknown in large Data Graphs; Applications of Big data (geospatial/environment, energy, media, mobility, health, financial, social, public sector, retail, etc.); Business-driven Big data; Big Data Business Models; Big data ecosystems; Big data innovation spaces; Big Data skills development; Policy, regulation and standardization in Big data; Societal impacts of Big data
Small Data
Social networking small data; Relationship between small data and big data; Statistics on Small data; Handling Small data sets; Predictive modeling methods for Small data sets; Small data sets versus Big Data sets; Small and incomplete data sets; Normality in Small data sets; Confidence intervals of small data sets; Causal discovery from Small data sets; Deep Web and Small data sets; Small datasets for benchmarking and testing; Validation and verification of regression in small data sets; Small data toolkits; Data summarization
Linked Data
RDF and Linked data; Deploying Linked data; Linked data and Big data; Linked data and Small data; Evolving the Web into a global data space via Linked data; Practical semantic Web via Linked data; Structured dynamics and Linked data sets; Quantifying the connectivity of a semantic Linked data; Query languages for Linked data; Access control and security for Linked data; Anomaly detection via Linked data; Semantics for Linked data; Enterprise internal data ‘silos’ and Linked data; Traditional knowledge base and Linked data; Knowledge management applications and Linked data; Linked data publication; Visualization of Linked data; Linked data query builders; Linked data quality
Open Data
Open data structures and algorithms; Designing for Open data; Open data and Linked Open data; Open data government initiatives; Big Open data; Small Open data; Challenges in using Open data (maps, genomes, chemical compounds, medical data and practice, bioscience and biodiversity); Linked open data and Clouds; Private and public Open data; Culture for Open data or Open government data; Data access, analysis and manipulation of Open data; Open addressing and Open data; Specification languages for Open data; Legal aspects for Open data; Open Data publication methods and technologies, Open Data toolkits; Open Data catalogues, Applications using Open Data; Economic, environmental, and social value of Open Data; Open Data licensing; Open Data Business models; Data marketplaces
ASEFInnoLab1 is an 8-week long, free of charge, online learning and networking experience for managers in higher education, taking place between 25 March – 13 May 2021. The project will explore the role of universities in national and regional innovation ecosystems in the age of artificial intelligence and apply a design thinking approach to assist participants in building strategies to work with businesses, policy makers and international partners in these ecosystems.
Our CEO Dr Monique Calisti will be an invite speaker on the topic of “Research and Technology Transfer in AI Innovation Ecosystems – Women, Emerging Technologies and the Digital Soul” on Thursday, 29 April 2021.
The Data Week is the spring gathering of the European Big Data and Data-Driven AI research and innovation community. This year, Data Week is held online from 25th to the 27th of May. It follows the tradition of the Big Data Value Summit, promoting opportunities, knowledge sharing and fostering Big Data and Data-Driven AI ecosystem development.
The 2021 edition of the Data Week aims at bringing together the research and innovation community working on Data, Big Data and Data-Driven AI, promoting opportunities for this community to grow and strengthening the ties with the Portuguese ecosystem. The event will highlight Horizon Europe and Digital Europe Programme funding possibilities and gives visibility to a large number of European initiatives and projects throughout the field.
As the Data Week wants to put the Big Data Value stakeholders into the spotlight, a series of workshops and sessions will be organised by the community members , BDV PPP projects and other collaboration networks. Interested in presenting your work and getting direct feedback from the leading experts of the continent? Follow the website for updates!
The Organizing Committee, with full support of the European Commission, currently plans on holding the conference in Porto with a full in-person attendance. We will keep regularly monitoring the situation related to COVID-19 and update the website accordingly, as soon as new information is made available. The format of the event may change to remote attendance or to a mixed one, depending on the conditions, since safety and well-being of all conference participants is our top priority.
The URBAN FUTURE global conference is Europe’s largest event for sustainable cities. But it is also so much more than that. It’s a community of passionate CityChangers from all over the world.
Active, passionate and visionary decision-makers – we call them CityChangers – are the ones who drive change and create sustainable urban spaces.
Are you making your city greener, happier, healthier, and more sustainable? Let’s get going then! Join the revolution for better cities and be part of UFGC21 in Rotterdam.
The four focus areas are changing from year to year, taking into consideration any input we get from local and international stakeholders.
The next UFGC edition in Rotterdam will shape around the following core themes.
URBAN MOBILITY .
Whether you want to get cars off of streets, to become the new cycling capital, or to encourage more men to take public transport, you’ll soon run into both systemic and behavioural obstacles. Learn how to overcome them: by, for and with the next generation.
SKILLS & LEADERSHIP .
Any project’s success depends on leaders who are able to convene a powerful team, who nurture their followers and teach the skills they learned by winning and making mistakes along the way. Let’s listen to and connect with some of the most exciting urban leaders around.
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CIRCULAR .
Looking back, we’ll be puzzled by how we could think it was normal to simply throw away so much stuff. When recounting how we got ourselves out of this literal mess, we’ll be more baffled still. It’s people like you and me who just did things differently.
DISTRICTS .
People identify with their neighbourhoods. Discover how to make them livable (again), where architecture and district visions are going hand in hand, and what brownfield redevelopments can do for better cities.
The 10th edition of IoT Week had been rescheduled and will take place in Dublin (Ireland) from August 31st to September 3rd, 2021.
The IoT Week 2021 conference will welcome the industry leaders, lead researchers and public service representatives not only from Europe but from around the world to share their views on how the technology can serve society better and identify what are the technological and societal challenges today. Previous editions of IoT Week were held, respectively, in Barcelona, Venice, Helsinki, London, Lisbon, Belgrade, Geneva, Bilbao and Aarhus. The last edition brought together over 1500 participants from 50 countries specialized in the IoT domain, including research ce
nters, research projects, large industries, SMEs, developers, standards development organizations and policymakers, including the European Commission to exchange their knowledge.
Stay tuned about the event here: https://iotweek.org/
