TUM: Science Hackathon 2021 – Season 2
Congratulations to our winning teams
- Team SWM (presentation here)
- Team Altair Team 2 (presentation here)
- Team ITQ (presentation here)
Definded by a jury composed of:
- Fabian Güra (NLU/Speech for Google Assistant as Tech Lead Manager)
- Dr. Tina Ruseva (Founder and CEO of Mentessa)
- Christian Islinger (Quality Manager, Quality Engineer and Project Manager Analytics Solutions at BMW AG)
- Prof. Dr.-Ing. Habil. Gerhard Rigoll (Professor for Human - Machine Communication at TUM)
Thanks to all participants, our top-level jury and our industrial and academic partners who made the TUM: Science Hackathon possible!
A very special thank you goes to all members of Taskforce CAP. Also thanks to Taskforce Marketing and to Moritz Huber from our partner university HFF for your contribution and power in realizing our virtual ideas for the Science Hack!
Last but not least thanks for the very professional help of the "Studentische Vertretung of TUM" for your technical support!
Students and Ph.D.-students from diverse fields of study from all universities of Munich were invited to participate in the #ScienceHack. They display their creativity, passion and problem-solving skills towards solving challenges provided by the industrial partners and exceptional chairs of TUM.
For the first time, students and Ph.D. students of the EuroTeQ-partner universities were invited to participate!
What is the topic of the Science Hack 2021-2?
This Science Hack focuses on “Human-Centered Technology”. The momentum of developing new technologies has been unbroken since the invention of the first computers and the resulting possibilities of digitalization. However, this impressive shift is only so helpful if people are at the very center of it. In other words, technological breakthroughs should serve people, improve their lives, and secure their future. Traditional technologies experience disruptions, are replaced by new ones, are subject to new requirements, expectations, and target groups. In the constant search for innovations by companies and scientific pioneers, however, numerous developments often do not follow human benefit, but merely trends.
The industrial partners of the 4th Science Hack are:
The challenge: Envision The Bike Experience of Tomorrow
Find out more about the challenge: Altair Challenge
The challenge is to develop a route planner that plans routes with the lowest possible CO2 demand, while also keeping an eye on the movement destinations and the different modes of transport (e.g. car, public transport, shared drive, bike share,...). In addition to the selection of the means of transport, the planner also takes into account other parameters such as car class, performance/range, and fuel/ride price.
Furthermore, an optimization of time, distance, and CO2 should be considered. The goal is to develop a website or an app that is easy to handle, understandable, and easy to use.
- Algorithm development and optimization procedures
- Web or app development
- UX design • Graph-based methods
SMART GREEN BIO
Health awareness in society is increasing rapidly and with it the consumption of healthy food grows. The ecological footprint of food production must be as small as possible to ensure sustainable food production. At the same time, there is a growing interest in the "story" behind the food we eat, requiring more transparency in the life cycle of food.
One approach to achieve this could be more decentralized agriculture, especially for healthy plant-based superfoods. Urban agriculture on roof tops, in backyards etc., considering short supply routes, circular production and smart resource use could help solve such an approach.
- How could a concept look like?
- How could a smart garden be realized?
- Who should/will run smart gardens?
- Who wants to check the origin of the food?
- What could a mobile smart green bio app look like?
- Web Development
- Smart Farming
- Bio Food Consumption
- Smart Green Concepts & Technology
- Big Data
"Is my chat bot empathic enough?"
The challenge: Humanizing emotionally challenging dialogues with machines
Find more about the challenge: Pixida Challenge
Every day ProSiebenSat.1 produces thousands of bytes of valuable media content. The idea is to use the possibilities of artificial intelligence and cloud technologies, to improve economic potentials in the field of classic TV broadcasting and to improve the utilization of multimedia content across different platforms and content types.The goal is to provide the right content based on business needs, delivered in an automated system that is able to be queried by consuming applications. It is given that ProSiebenSat.1 media sources provide metadata and tags already. However, please feel free to consider this part in your planning as well.
Create an architecture where content metadata can be stored and be further used by consuming systems.
Your goal is to provide the right content based on these requests.
A typical business request for content could be:
“ We need a diverse group of happy people in stunning scenery, at best outdoors, which are enjoying the moment. Content must be FSK12 friendly.”
Find more about the challenge: ProSiebenSat.1 Media SE
Game and UX design
The cultural change in a company is, among other things, also an essential basis for the innovation and sustainability of a company. One way to promote this is through the use of new methods. Gamification is now being used successfully in a wide variety of contexts. Within the company, however, gamification approaches have so far played a rather subordinate role. At SWM, they have only been used in isolated cases. SWM would like to change this, although the area of application is still open. The question arises in which internal company context this makes sense and what kind of implementation comes into question.
Implement a gamification approach for SWM employees; in which situations could a gamification approach be usefully applied in the company; implement a corresponding application.
Needed Skills for the Challenge
- App/web development
- Game and UX design
*There won't be professional IT support for this challenge available
Additional challenges are provided by two chairs/ professorships of TUM.
The challenge: Deep Learning for Object Detection in The Context of Smart Agriculture
Find more about the challenge: Professorship of Precision Agriculture Challenge
The challenge: Enabling citizen participation in transportation infrastructure decisions
Find more about the challenge: Chair for Traffic Engineering and Control Challenge