DEETECHTIVE at HIT
Deep Tech Digital Technologies in Health and Education
Date and place
14.11.2023, Holon, Israel
Short description of the event
DEETECHTIVE at HIT was the first HIT date event of DEETECHTIVE aimed to introduce and inspire individuals to harness the power of Deep Tech for entrepreneurial and innovative endeavors. The seminar brought together industry experts, thought leaders and participants to explore and discuss cutting-edge advancements in deep-tech industries.
By showcasing cutting-edge technologies and frameworks in digital health and education, providing attendees with a deeper understanding of how these technologies can drive innovation and open new avenues for business development and problem-solving in these vital sectors.
Dr. Michael Winokur set the stage with insightful opening remarks, laying the foundation for the subsequent discussions.
The first lecture by Prof. Arriel Benis, from HIT, took the audience on a journey into the world of One Digital Health (ODH), an innovative research framework. The lecture explored how ODH integrates One Health and digital health, encompassing multiple dimensions, such as individual health and well-being, population and society, and the ecosystem. The audience learned about ODH’s aim to transform decision-making in health and the environment by using digital technologies responsibly and sustainably, and about its pivotal role in propelling MedTech and DeepTech innovations forward.
The second lecture, by Dr. Dan Kohen-Vacs from HIT, provided valuable insights into the transformative power of AI technologies in learning and training. During his talk, Dr. Kohen-Vacs delved into the essential aspects of implementing AI technologies for educational purposes within the dynamic landscape of deep-tech industries. This insightful discussion shed light on prominent considerations necessary for the effective integration of AI in learning environments.
The third lecture, by Gideon Zailer, CEO at Methodica, delved into the realm of Learning and Development (L&D) within organizations. Mr. Zailer’s presentation focused on exploring opportunities and challenges in designing programs aimed at enhancing workers’ capabilities within the Deep Tech industry. The nuanced insights provided by Mr. Zailer added a valuable dimension to the event, offering a comprehensive view of the industry’s landscape.
The last part of the seminar was a Panel Discussion with the participation of all the event’s lecturers.
Discussions were held between the lecturers and the participants regarding the content of the lectures Dr. Winokur, in his concluding remarks, tied together the various topics discussed throughout the event. He illustrated the Synergy System for exercising cohesion among the themes addressed during the event as well as for incorporating new perspectives brought forth by the engaged audience, and encouraged everyone to take part in the challenges of the project. This wrap-up provided a cohesive overview and highlighted the collaborative spirit and knowledge exchange fostered during the event.
Participants
Participants joined the event via Zoom.
Learnings outcomes
Deep Tech Knowledge:
Acquiring a comprehensive understanding of Deep Tech Digital Technologies, particularly in the context of Health and Education. This knowledge encompasses the latest advancements, applications, and their potential impact on these sectors.
Innovation and Entrepreneurship Opportunities:
Identifying new opportunities for innovation and entrepreneurship within the realms of Health and Education, recognizing how Deep Tech can serve as a catalyst for the development of novel applications and businesses.
One Digital Health Framework Understanding:
learning about ODH’s unified approach, integration of One Health and digital health, and its transformative potential in decision-making for health and the environment.
AI’s Impact on Learning and Training:
Developing an understanding of the various sub-domains of AI and how they contribute to optimizing learning and training experiences, and gaining insights into the challenges and opportunities associated with AI in corporate learning.
Learning and Development (L&D) Strategies:
Acquiring knowledge about the new capabilities, challenges, and actions that Learning and Development units within organizations should address. This includes insights into reskilling and upskilling programs, assessment methods, self-directed learning, automated content development, and personalized learning environments.
Awareness of DEETECHTIVE project opportunities:
Awareness of the Open Innovation environment at Synergic Crowd Innovation Platform, and encouragement to take part in its challenges.
Participants students’ feedback summary
The main learning expectations from the conference:
- To learn new digital technologies, and to be inspired so that I can think differently.
- More knowledge about the world of technological medicine
- Better understanding of deep technology
- To learn important tools and tips that I did not know before and to identify opportunities and possibilities related to entrepreneurship and innovation
- Information about new technologies
The main takeaway (emerged from the student responses):
- The overarching importance of artificial intelligence (AI) in various aspects of life, including work, education, and industry.
- how technology contributes to healthcare, from innovations in medical machines to AI’s role in medical diagnoses.
- The potential of technology to contribute to healthcare innovations
- AI as a potential game-changer in the learning process.
Feedback selected quotes:
- “Additionally, the discourse on fostering interdisciplinary collaborations underscored the importance of diverse perspectives in problem-solving. These insights encourage me to explore deeper integration of advanced technologies in my field, prioritizing data-driven approaches and embracing cross-disciplinary collaboration to enhance innovation within my organization.”
- ” Each lecturer addressed to some extent the counter-intuitive uses of AI. This is, in my opinion, the most important aspect of AI.”
- “The discussion about the aspect of software and code in AI technology, this is an area I look forward to exploring in my field.”
- “I got a real inspiration to listen to micro-learning while working, and I would really try to apply it in my daily routine work as a team leader in a high-tech company.”
- “The explanation about AI was interesting, before this seminar I didn’t really understand what it meant. It works like a human brain, and it helps to do a wide variety of actions. The capabilities of artificial intelligence will lead us, so we need to learn to use it.”
- “The insight that stood out the most for me was the part where we couldn’t predict how it would affect us in the future. For now, integrating deep technology into our daily work is helpful and even exciting because it helps us accomplish our tasks much faster”.
Lesson Learned
- The HIT group learned and accordingly recommend on the following things: Design Deep-Tech. Research framework in collaboration closely with the international partners. This recommendation would maximize synergy and diversity of knowledge among collaborative partners
- The conducted Deep-Tech date required: intensive promotion of the event, spotting excellent and professionally recognized specialists, coordination of the event. Conclusively we aim on an event offerings an education opportunity addressing a hot topic resulting as efficient, engaging and appealing
