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UNITeD project

Success Stories and Lessons Learned

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WP5: Knowledge sharing

Task T. 5.1. “Sharing success stories and lessons learned”. Please submit a minimum of 1 success story/lessons learned per partner organisation.

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While carving out the success stories/lessons learned, we kindly ask these to be in correspondence with the focus of the UNITeD project - that is Deep Tech. 
 

Merely as a reminder, according to the project description, consortium partners are strategically committed to devote effort to transforming their academic curricula and research agendas by proactively exploring university-business partnerships in the field of deep tech. Enhancing the supply of new entrepreneurship and deep tech-focused study forms and curricula, offering pre-incubation activities for university-related start-ups and teams of students and researchers, opening avenues for active partnership engagement activities with deep tech companies.
 

We are looking for project descriptions/summaries related to innovation, entrepreneurship and university-industry collaboration with a deadline of November 5.  

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The time period of suitable Success Stories and Lessons Learned

 

  1. Success Stories and Lessons Learned/projects of the last 2 years (completed or ongoing)

  2. Started and ongoing projects/Success Stories and Lessons Learned that you deem necessary to highlight

Success Stories and Lessons Learned submission form

For example: TalTech www.taltech.ee Pof Tauno Otto Prof Kristo Karjust Tallinn University UT https://hci.tlu.ee/ Sonia Sousa Mati Mõttus Mustafa Özedmir Ingrid Hindrikson Katrin Männik etc.

For example: Industry-academy collaboration, cooperation between universities and research groups, public-private partnership, collaboration with students, researches and companies. Up to 250 characters.

For example: Advanced technologies and innovative methods for human-machine collaboration in industry Up to 250 characters.

For example: A broader interdisciplinary perspective is needed even for a very specific cooperation. A long-term view for financing is necessary for sustainability of the projects. To succeed, it is necessary to involve top managers and best experts from the organizations. A clear division of roles between partners is a prerequisite for success. For different interest groups, it is necessary to point out the specific value of their activities: for researchers, students and companies. Up to 750 characters.

Project description

For example: Trustworthy HCI group from Tallinn University https://hci.tlu.ee/ helps to strengthen the Ida-Virumaa research hub for conducting research, experimentation, and innovation in the field of human-robot interaction with an emphasis on the specific needs and challenges of Ida-Virumaa industries. Tallinn university research group with TalTech research group collaborate in the following three key areas: -To advance in HRI research on human collaboration with robots (COBOTS), considering the effects of mutual trust in COBOTS adoption. -Provide educational and training opportunities, including workshops and educational programs (e.g. micro degree) to students, researchers, and professionals in Ida-Virumaa on topics like Trustworthy HCI, User experience evaluation and HCI. -Supervising or co-supervising 3-4 doctoral students from Virumaa College over six years. Up to 1000 charaers.

For example: -Draft the proposal to equip the laboratory space in Ida-Virumaa with the necessary equipment to evaluate/study users' experiences in human-robot interaction. -Facilitate the transfer of technology and knowledge from the research group to local businesses and industries in Ida-Virumaa, promoting the adoption of current EU guidelines for trustworthy AI from human-computer interaction (HCI) perspective. -Provide educational and training opportunities, including workshops and educational programs (e.g. micro degree) for students, researchers, and professional’s in Ida-Virumaa on topics like measuring trustworthiness, user experience evaluation, designing human-centred robot interactions, physiological and affective computing and cognition and emotion of digital media. -Organize workshops and educational programs to raise awareness and promote trust and acceptance of using robots in various domains. Up to 1000 charaers.

For example: 1. Further advance in research related to COBOTS, considering the balance between humans and machines and mutual trust and workplace design. 2. Collaborate in writing project proposals and seeking additional financing. 3. Supervising or co-supervising 3-4 doctoral students from Virumaa College over six years. The doctoral students are included in the college's budget and have a position based in Kohtla-Järve. Up to 750 characters.

For example: -a framework to mitigate potential HRI trust bias effects in technology adoption -a set of design guidelines to reassure and mediate users' engagement while making risky informed decisions from a hri design lens -models to assess user trust in real-time. Up to 750 characters.

Upload images *

- Images illustrating the project

- Up to 3 images per project

- High-quality high-resolution images (shorter side at least 1920px, 72dpi)

- Suitable image file extensions: .png, .jpg, .jepg, .tiff

- Each image file name MUST contain the name of the project.

Please note, a separate Tab opens for uploading images.

Terms and conditions

I understand that: personal details that are entered for the purpose of submission (names, email addresses, etc.) will be stored by the Tallinn University UNITeD project for the purpose of processing your submission, specifically for the following: 

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  • to contact you with any queries

  • to answer any enquiries. 

 

Please note, that the Tallinn University UNITeD project will review your submission and it may undergo some light editing prior to being published in the “Success Stories and Lessons Learned” compilation.

 

The personal data provided will be stored with the utmost care and in accordance with data protection requirements. Individuals may at any time request to see the personal data that we hold relating to them and request their deletion, by contacting ingrid.berg@tlu.ee. The Tallinn University personal data processing policy can be found at https://www.tlu.ee/en/personal-data-processing. 

I agree to all terms and conditions

Thank you!

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