Special Workshops and Tracks

Workshops can be proposed which fall within the scope of the conference.

Workshop proposals should be emailed to Philippe.Geril@eurosis.org, by indicating the type of workshop you would like to organize, before November 30, 2021. When preparing a workshop submission, please consider the link to the event and the specific nature of your proposal. A confirmation email will be sent to verify that the proposal was received.

See accepted workshops below


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XR4Ped meets Ireland - Promoting Digital Higher Education by introducing Immersive Learning into Educational Studies

Abstract

Comprehensive progress has been made in the provision of digital learning solutions in recent years. Especially Virtual Reality (VR), Augmented Reality (AR) and the combination and further extension of both to Extended Reality (XR) have begun to enter the education markets. These technologies allow the simulation of almost any environment and process carried out in the physical world, whilst purchase costs have decreased enormously, the same way as the number of the so-called immersive learning apps has increased for all educational fields. But why do we see so few or nothing of them – and other e-learning solutions - in education?

Timing

The whole event will last at least half a day and will be attended by at least 20 participants and approx. 20 virtual participants. Prof. Eleni Mangina from School of Computer Science in UCD will lead in organising and implementing this dissemination event, both in the real and virtual environments. It will develop a detailed agenda containing contributions from external experts and stakeholders and will take care of all technical and organisational aspects. Although details of the agenda will be determined by real project developments as well as the needs and demands of the audience, the draft agenda could look as follows:

Timetable:

  • 09.00 Registration (real and online)
  • 09.30 Official welcome by Prof. Eleni Mangina and introduction to the set-up, structure and specific requirements for a hybrid event; short introduction of the project
  • 10.00 Presentation of Intellectual Outputs 1 and 2 and their relevance to different stakeholders and target groups in Ireland
  • 10.30 Break
  • 11.00 Hybrid panel discussion with representatives from associated partners, stakeholders, policy makers and with experts in the field of immersive learning
  • 12.00 Virtual session in the XR4Ped Lecture Theatre for networking, knowhow-exchange and presentation of best practice apps in immersive learning
  • 14.00 End of event


Assoc. Prof.Eleni Mangina
University College Dublin (UCD) - XR4PeD
School of Computer Science
Dublin, Ireland

 You can indicate your interest for the workshop here or download the full info in pdf here.


Uhasselt logo

Virtual Nuclear Simulator (ViNuS) in Education

Abstract

More information to follow

Description

More information to follow


Wim Eerdekens
Hasselt University
Campus Diepenbeek
Diepenbeek, Belgium

 You can indicate your interest for the workshop here.


Information Security, Privacy and Applications

This special track covers research in theory and applications of information security and privacy, and aims to attract the high quality papers in all technical aspects of information security. This special track seeks submissions from academia, industry, and government that present novel research on all theoretical and practical aspects of Information Security.

  • access control
  • accountability
  • anonymity and pseudonymity
  • applied cryptography
  • authentication
  • biometrics
  • computer forensics
  • critical infrastructure security
  • cryptographic protocols
  • database security
  • data protection
  • data/system integrity
  • digital right management
  • economics of security and privacy
  • electronic frauds
  • embedded security
  • formal methods in security
  • identity management
  • information hiding & watermarking

  • intrusion detection
  • network security
  • peer-to-peer security
  • privacy
  • secure group communications
  • security in information flow
  • security for Internet of Things
  • security for healthcare systems
  • security for mobile code
  • secure cloud computing
  • security in location services
  • security modeling & architectures
  • security and privacy in social networks
  • security and privacy in pervasive and ubiquitous computing
  • security of eCommerce, eBusiness and eGovernment
  • security models for ambient intelligence environments
  • trust models and trust policies
  • economics of security and privacy
  • information dissemination control



 Submit your proposal for the Information Security, Privacy and Applications Workshop here

AREA42 Project meeting

We are involved with a new project in the field of B2B trade innovation which aims to start with pre-operational meetings from January 2020 onward and a first full organizational meeting in June 2020 at our ISC conference.
At this point in time we are seeking interested simulation, modelling, AI, Data experts to attend and take part in these meetings which will focus on:

New simulation environments for trade risk assessments models.
For the last decades all trade related risks, should they be operational, financial, geopolitical were assessed based on documents certifying one representation of the reality at a given moment plus when possible historical data to build probability, actuarial models. Nowadays technology allows us to leverage on a bigger variety of datasets (think social media, supply chain, weather, payments etc) sometimes accessible instantaneously. Which simulation could you propose to build and test the next trade risk assessment and prediction model? How could we test the impact of new sources of data on trade event.

Discrete Simulation Modelling Techniques and Tools & Simulation and AI
As far as simulation modelling techniques are concerned, it would be interesting to find graphical approaches to trade simulation modelling. A neutral, graphical, transparent representation of a transaction would allow a better understanding and assessment of the trade risk. The system could automatically generate simulation programs based on trade parameters. Such projects would involve Process Flow, Visual Modeling, Visualization and Animation, Business Process Modeling. Such a tool would benefit all trade parties. It would help financiers and insurers to have an exact representation of the trade to offer the best solution. It will help traders/exporters/credit managers optimizing their trades and negotiate the solutions proposed.

AI and Neural Networks
Behavioural and neural analysis of trade decision makers, such as commodity traders or credit managers as a preliminary study to the build of a trade credit robo advisor - any technology mentioned can be used.

Agent-Based Simulation
Agent Based Simulation of payment behaviour in B2B commerce, an analysis per country, sector and level of digitization of the economy.

IoT & Industry 4.0
Due to the heterogeneity of these components and their interdependencies, it is urgent to find a simple way for fast IoT-generation that guarantees interoperability and reconfiguration. How could we identify and request access to relevant IOT sensors to support the risk assessment in a trade context? What are the current blocking points?

Simulation in Environment, Ecology and Marine Biology
How to assess and predict the environmental/biological/medical impact of a B2B trade? Which data / criteria should be taken into account to do so? How could we score and rank such impact for it to be taken into account in a procurement decision?

Other topics
Next to these specific ideations on modelling topics, some other ideas that we'd be interested to explore came to mind:

  • Current and future effects of climate change on socio economical dynamics on a country level / Country risk analysis. Spatio temporal analysis.
  • Current and future effects of climate change on corporate performance in different sectors.
  • Is there value in diversity of credit risk models or can one credit risk model capture it all?
  • Is there and can we quantify the influence of platformisation on payment behaviour? Hypothesis can be that Platformisation issues trust and will provoque different payment behaviour between customer and supplier. This would have a major influence on Credit insurance through platforms.
  • Can we apply self explaining Machine learning (AI) algorithms to credit risk modelling? Credit risk models suffer from the fact that they need to be explained to the regulator. Most of the AI algorithms remain rather black box and do not deliver the reason for the model outcome. In order for AI to enter fully into the credit risk modelling it needs to be self explaining? Could we create such models and what are the data requirements (volume and kind) and how do they perform with respect to traditional models.
  • Altman Z-Score in the age of real-time / open data marketplaces
  • Homomorphic encryption and distributed AI
  • Quantum risk modelling

 Submit your interest for the AREA42 project here