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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  • Presenting to an online audience with impact

    Tuesday, December 15, 2020 13:00 – 15:00 CET

    How to present your research or project to an audience that can only see you through the webcam? In this workshop you will learn to present online your message with impact.

    Aim: the participants learn to present their research or project online in a clear and convincing manner, tailored to the needs of the target group.

    Register here.

    Approach: a combination of practical tips, interactive exercises and inspiring cases.

    Trainer: Hans Van de Water from The Floor is Yours

    Workshop content

    The following elements will be discussed during the workshop:

    • What makes presenting online different?
    • Which software should you use?
    • Can you use the same slides for online presentations?
    • How do you keep the attention of your audience?
    • How do you make it interactive?
    • What do you say in your first minute?
    • Do you have to be visible too when you use slides?
    • Should you sit or stand?
    • How do you make eye contact
  • YEAR Webinar – Getting Ready for Horizon Europe (November 18, 13:00 – 15:15 CET)

    The Young European Associated Researchers (YEAR) network is happy to presentour next online webinar about “Getting Ready for Horizon Europe” on the 18th of November at 13:00-15:15 CET.
    The training will be presented by well-known Dr Seán McCarthy of Hyperion Ltd.
    Please register here:
    Once submitted, you will receive an email confirming the registration and with the link to attend the webinar.
    This webinar includes the following topics:

    Session 1: Identifying Opportunities in Horizon Europe (13:00-13.45)

    • From Horizon 2020 to Horizon Europe
    • Horizon Europe Funding Landscape
    • Identifying Opportunities in Horizon Europe
    • Pillar I (ERC, MSCA and Research Infrastructures)
    • Pillar II (Clusters, Missions and European Partnerships)
    • Pillar III (European Innovation Council)
    • Widening Participation

    Session 2: Getting Ready for the First Calls for Proposals (14.15-15:00)

    • Profile of Successful Organisations in European Framework Programmes
    • How Horizon Europe Proposals will be Evaluated
    • Proposal Intelligence (Who Wrote the Topics in Pillar II?)
    • Strategic Networking at a European Level
    Q&A Sessions will be present at the end of each session.
    Please consider that the webinar will not be recorded, and that neither NCPs nor EU consultants/trainers from private companies will be allowed to attend the course.
    Welcome to the Webinar! (Register here)
  • 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!

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!