Networking is essential for a more visible and efficient research. Discovering methods from another institution greatly enhances the researchers’ own skills in their field.

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Training is the key to speed up your career.

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Young researchers will shape the future of research; therefore, they deserve a say towards major stakeholders.

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  • Explainable and Interpretable Artificial Intelligence

    Wednesday 30 September 2020 – 13:00-14:00 CET

    End of September, AIT is organizing a webinar together with YEAR. The webinar is about explainable and interpretable Artificial Intelligence. Register here and share the event with your friends and co-workers.

    Artificial Intelligence and specifically, machine learning is used in many different domains. They promise high precision and are cost-efficient. However, they have a significant drawback, and that is they act as black-box models, meaning, their decisions are not apparent to the user and cannot be explained. Therefore, the field of IML (a.k.a.) Explainable AI exists. This research field focuses on approaches that can explain and interpret the decisions made by AI models.

    Outline of the Webinar

    In this webinar you will learn about

    • Background of XAI and state of the art approaches
    • How to bring transparency to Predictive Maintenance?
    • How to bring transparency to Computer vision?
    • How to bring transparency to Fake News Detection?


    Anahid Jalali

    Anahid is a data scientist at the Austrian Institute of Technology, Center of Digital Safety and Security. She is researching and developing machine learning applications for multiple fields such as Predictive Maintenance (smart industry), Audio, and Speech analysis.  Her current research involves the transparency of Blackbox models on industrial time-series data to explain the decisions made by these models, detect faults and biases in the data and improve model’s performance by understanding when the model fails and when it succeeds. These are the steps to decrease the gap between research and industry.

    • Title of the Talk: Explainable and Interpretable AI: The story so far.
    • Abstract of the Talk: Machine Learning has offered us its robust performance and is becoming increasingly present in many different applications. We must continue researching its performance improvement and optimization problems. However, we should also highlight its disadvantages, like its lack of transparency. This downside raises the question: “Why should we trust such networks above our experts and shallow machine learning algorithms, ones who can explain their decisions and why they have come to their judgments”. This talk covers the explainability problem, expectations, and state of the art approaches used to interpret models.

    Denis Katic

    Denis is a research engineer at the Austrian Institute of Technology, Center of Digital Safety and Security. His research field includes applications of Machine Learning for Industrial Data science and health care, which are considered as critical domains and need explanations on model’s behavior and decisions.

    • Title of the Talk: Explainable machine learning and its capabilities in the field of computer vision.
    • Abstract of the Talk: Methods of explainable ML are generally used to understand individual decisions and which factors have led to them. The results and experiences of these methods can be used in various post processing steps. In this talk we will show an example of how we trace the results and experiences of individual explainable ML results back to the training process in order to obtain a basic understanding of the model and the possibilities for improvements.

    Mina Schütz

    Mina is currently working as a PhD student at the Austrian Institute of Technolgy (AIT) in Vienna, Austria. Before she started working on her dissertation in May, she wrote her master thesis at AIT with the title: Detection and Identification of Fake News: Binary Content-Classification with Pre-Trained Language Models. She finished both – her  Master’s and Bachelor’s– in Information Science at the University of Applied Sciences in Darmstadt, Germany, where she specialized on machine learning, natural language processing, visual analytics, and information extraction/architecture.

    • Title of the Talk: Explainability of Transformers on Textual Content with a Fake News Dataset
    • Abstract of the Talk: Recent studies of fake news classification have shown that Transformers and language models are a promising approach for natural language processing downstream tasks, because they capture the context of a word in a sentence. They are pre-trained on a neutral corpus and can be fine-tuned for a specific task, such as automatic fake news detection. The results achieved during this work have shown that they already gain high accuracy results for short titles of news articles, but do not give any information on which this decision is based on. Therefore, this talk presents an approach to have further insights on the prediction outcomes of those models.

    Interested? Register to the webinar!

  • Online Training on Personal Mastery with Merita Petäjä

    June 17, 14:00 – 15:30 CEST;

    YEAR is hosting an online training, given by Finnish psychologist and project manager Merita Petäjä. The training focuses on personal development, more specifically on Personal Mastery. Please register here.

    More Details

  • YEAR Webinar: RTOs and the Fight against COVID-19

    Friday 29 May 2020 – 13-14 CET

    Webinar RTOs and the Fight against COVID-19

    In these times of COVID-19, RTOs around the world are currently developing an array of
    supporting activities in the fight against COVID-19, while having to face in parallel their own
    technology infrastructures’ operational challenges.
    Young European Associated Researchers is happy to present the webinar “RTOs and the Fight
    against COVID-19” to help you understand with some clear examples how the institutes in the
    YEAR Network have adopted their research skills, facilities, and innovation efforts to support
    government and industry in finding solutions against COVID-19.
    Register here:

    Outline of the YEAR Webinar

    In this webinar you will learn about:
    • Adequate and reliable quality control for protective materials;
    • Support for small and medium-sized enterprises in times of corona pandemic;
    • The development of an early warning system for detection of corona virus symptoms among front line medical staff at Cork University Hospital;
    • Modelling of the transport and spread of corona virus through the air in busy public indoor spaces.


    Gert Otten

    Gert Otten,  VITO Belgium

    Gert Otten is project manager of the Air Quality Management Systems research team. His research team focuses on the societal and economical need of clean air by providing local and more personalized monitoring systems in both indoor and outdoor environments. By combining innovative sensor technology and highly accurate reference equipment, they aim for a much larger spatial data set of reliable air quality data. Their specific expertise lies in the selection of the appropriate measurement strategy, intelligent data processing and analysis and in the availability of a state-of-the-art lab infrastructure for sensor validation, accurate analysis and methodology development. By assessing air quality in different micro-environments and quantifying the sources of air pollution they offer solutions to citizens, policy makers and industry to improve air quality through cost-efficient and targeted measures.

    Anders Persson

    Anders Persson, RISE Sweden

    Anders manages the SME office at RISE Research Institutes of Sweden, which cross divisionally is responsible for how RISE work with SMEs and develop that ability further. Anders is a Chemist as background. Previously to working at RISE, he had a long background within the life-science and lab-tech industry and has been also working at an UK-based institute – LGC Standards, managing the Nordic operations.

    Paul Galvin

    Paul Galvin, Tyndall Ireland

    Dr Paul Galvin is Head of the ICT for Health Strategic Programmes and Head of the Life

    Sciences Interface Group at the Tyndall National Institute. Tyndall ICT4Health Strategic programme represents approximately 30% of the overall research activity of Tyndall, and the Life Sciences Interface Group in Tyndall currently comprises of 26 research staff and students, including four PIs. Dr Galvin has led several multidisciplinary national and international research projects over the last two decades, which leverage nano and ICT solutions for challenges in healthcare. Dr Galvin is a former Chair of the Medical Devices Working Group within the European Technology Platform for Nanomedicine, Leader of the Working Group on Health Monitoring Sensors within the European Sensor Systems Cluster, and a member of the ESTHER (Emerging and Strategic Technologies for HEalthcaRe).

    Aku Karvinen

    Aku Karvinen, VTT Finland

    Aku Karvinen works as a senior scientist at the VTT Technical Research Centre of Finland

    Ltd, which is a state owned and controlled company. VTT provides research and innovation services and information for domestic and international customers and partners, both in private and public sectors. Aku’s research topics include, among other things, computational fluid dynamics (CFD), indoor air quality (IAQ) and safety including simulation of spread of naturally or intentionally released person-to-person transmissible pathogens. Recently this study is concentrated on the study of COVID-19.

Join the Young Energy Researchers Conference

The World Sustainable Energy Days organization is ramping up activities for the next edition of the Young Energy Researchers Conference that will take place on 24-25 March 2021 in Wels/Austria in the context of the World Sustainable Energy Days. The call for papers is open until 12 October 2020-> only 6 weeks left!
Once again we will be covering costs of accommodation, meals, participation and local transportation for up to 60 selected participants.
 Mail we’ve received:
We’ve really appreciated your support in the past in promoting our event. It would be great if we could collaborate again, perhaps along the same lines as last year:  The YEAR-network promotes the call for papers and the event:

  • on its website (with an event page)
  • on social media (LinkedIn group, Twitter)
  • through its internal mailing lists for each member research institute

In exchange, ESV offers:

  • to include the YEAR-network logo as partner on the website of the Young Energy Researchers Conference with link to the YEAR webpage
  • 1 free entrance to the conference
  • A free poster space in the poster presentation area

I hope we can count on your support. The Young Energy Researchers Conference is a great opportunity!
I have attached our promotional flyer. Please let me know if I can provide any further material.

Successful YEAR webinar on RTOs actions against COVID 19

We just finished our webinar about the actions that European RTOs are taking against COVID 19. With 4 interesting speakers from 4 different RTOs and about 50 participants this second webinar from 2020 was another great success!

We got insight into vary different topics that are being addressed by these RTOs. Want to know more about what European RTOs are doing against COVID 19? Check out this impressive list of projects against COVID 19 that are being done by EARTO members.

YEAR Annual Report 2019 published

Last year was an eventful year for the Young European Associated Researchers network. We visited the EARTO annual conference, held some great events in various countries, highlight being our own Annual Conference, and welcomed the Irish Tyndall National Institute as a our youngest member institute.

We captured this wonderful year in detail in our annual report. Enjoy the read!