AI is currently one of the most discussed technological trends and requires new approaches and unconventional ways of thinking. Advances in the field of machine learning are supposed to increasingly enable the automation of activities previously reserved for humans. For various reasons, however, it might not be desirable to automate each and every task or process within human-technology systems. At the very least, people and technical system components should be able to make optimal use of their respective capabilities.
What is planned?
Design thinking paves the way for structured - and simultaneously unconventional - exchange. In the AI Clash design thinking workshop, you will generate new ideas for research and development together with an interdisciplinary group of researchers by taking the perspective of the target group.
In subject-focussed workshop sessions young researchers discuss their ideas with senior scientists who are active in the respective field of applied research.
The ideas and results will be presented and discussed with a broader audience and peer group in a conference that takes place in May 2022 in Deggendorf and published in a peer reviewed open access journal.
Three professors with a sound research background in the application fields take the time to discuss with you new and innovative research ideas!
You participate in a conference and you will publish your contribution in a peer reviewed open access journal.
Travel expenses and the publications fees are covered by us.
Information meeting: August 31st, 2021 12 pm -1 pm (Central European Summer Time)
You are welcome to join this information meeting providing further details on the planned format of exchange. If you would like to get further information on the workshops and the conference and if you have further questions, please send an email to firstname.lastname@example.org until August 30th, 2021. You will receive the invitation link for the zoom meeting.
Deadline for submission: September 15th, 2021
Announcement of Selection: September 30th, 2021
The virtual Design Thinking Workshops will take place on
The Final Conference is scheduled for May 2022.
"My research is focused on the Quality of Experience of visual stimuli and extents to the evaluation of User Experience of IoT and Industry 4.0 applications. I combine the theoretical and applied aspects of Artificial Intelligence to the prediction of human's opinion. In the AI Clash, I am looking forward to dive into new research fields such as the question how the long-standing and valued experience of workers in industry can be assisted by artificial intelligence using interactive systems in the digitalization process of Industry 4.0."
"The field of Artificial Intelligence has come a long way. In many application areas stunning results are achieved by modern AI technology. But too often, these results feel more like magic than like technology. We need a better understanding of the chances, but also of the pitfalls of applying AI methodology, in order to apply it with consistent success. This can, however, be achieved only by also understanding the many application domains. A broad, multidisciplinary view on AI can help us to advance and apply the relevant technological concepts. I am firmly convinced, only then can we bring together both human and artificial intelligence, spark exciting and inspiring innovations, and let the society profit as a whole."
"In geo-science where I am coming from, we are always dealing with a lot of data. And what is annoying to me is to run through a bunch of data to find the most important point and more espescially to have the risk to not find the essential data that is maybe somewhere hidden behind the scene. That is excatly the fascinating thing about AI, that it can make data visible that we may have ignored and that it can work on data in huge amounts, that a regular human or even groups of humans would not be able to handle."
"AI has been around since the Fifties - so AI is nothing new, but in the last few years there has been quite some progress through reinforcement learning and deep neuronal networks. And they are not only used in academia now, they are being deployed at a very large scale and there are now plenty of applications that we deal with every day. I often talk to elderly people and they feel that AI doesn't affect them at all. But when I tell them that they are dealing with AI, even when they don't have a smart phone - when they go to their doctor, their doctor will use an AI application, so AI impacts them too and helps them to have a longer and healthier and happier life.
If we show people concrete applications how AI is changing their life right now, I think that's how we get the excited about it."
"The Next Generation Sequencing (NGS) technology produces large amounts of data. Analysing and understanding the human genome, epigenome and the associated transcriptome is a growing challenge. It is therefore important to generate a functioning and resilient interface between natural and computer scientists. The amount of data that is generated during the decoding of human, animal or plant genetic material, for example, must be processed and correlated in order to make it usable. Biomedical research currently uses a wide variety of computer-based analyses tools to identify and analyse genes that are predictive for the prognosis or response to therapy of a disease. The analysis and evaluation of these data sets requires knowledge in biomedicine combined with application-oriented computer science. Precisely these core skills are necessary to allow high quality and meaningful data analysis performance- transparent and comprehensible."
"Mankind has a great need to be healthy and active until old age. This desire for old age, however, brings with it increased illnesses for which we need an answer. The old, "western" principle of seeking medical treatment when I feel ill must be expanded and rethought. Prevention, diagnosis and treatment must be brought into harmony. This requires digital transformation in healthcare. AI plays a prominent role in this, and we want to use concrete use cases to explain its significance to people, some of whom are unsettled. Humanity is mature! From Care To Prevention!"
"As a person whith major background in psychology but also some background in computer science I would really be happy to have a diverse community of scientists participating at this AI Clash, to to create a interdisciplinary discussion workshop."
"Most of the time people only see neuronal networks and maschine learning but that is not all of artificial intelligence. There is desicion theory and a lot of other topics which are as important. I think the biggest breakththrough in artificial intelligence would be to combine all sub-topics there are right now."
With the concept of the AI Clash, DIT was among the winners of the ideas competition Research in Germany, which was launched by the German Federal Ministry of Science and Education together with the German Academic Exchange Service. We are very proud to be the first university of applied sciences among the winning research institutions participating in the campaign Research in Germany.
DIT is a shining example that in Germany, innovative research and development together with partners from industry can be quite successful outside of urban centers, and very well serves the structural regional development.
Prof. Patrick Glauner
Prof. Cordula Krinner
Prof. Wolfgang Dorner