TUM Science Hackathon 2021 – Season 1

"The New Normal – Sustainable & Inclusive Cities after the Pandemic"

More than 120 participants (Bachelor, Master and PhD students of TUM, LMU and others) accepted the challenge form well-known industy partners and five chairs of TUM. Each team worked about 45 hours virtually with their coaches.

Congratulations to our winning teams

  1. Team TryCycle coached by MathWorks
  2. Team DataSurf coached by TUM Professorship of Environmental Sensing & Modeling
  3. Team My Luminaire coached by Osram



All of the final presentations and videos can be viewed here.

Thank you

Thanks to all particpants, our top-level jury and our industrial and academic partners who made the third 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!

The New Normal - Sustainable & Inclusive Cities after the Pandemic

This year's TUM: Science Hackathon was all about “The New Normal - Sustainable & Inclusive Cities after the Pandemic”. Why is this a challenging and important topic for which we need creative solutions? The future of humanity lies in the cities: By 2050, the population of the metropolitanareas is expected to have almost doubled. This presents opportunities, but also leads to many harsh challenges, for example issues regarding environmental compatibility, mobility, the creation of housing, but also concerning the coexistence of people with different economic, social, and ethnic backgrounds. Individuals and companies are faced with the necessity of shaping and developing the cities of the future.

Partners & Challenges

We cooperated with renowned companies who provide inspiring and relevant challenges for the TUM Sciene Hackathon. This year, six partners from diverse fields of industry presented seven topics which the students worked on during the event. All teams were able to deliver interesting and conclusive solutions to the challenges and presented their results in the end of the hackathon.

"Logistics in Urban Cities Using Autonomous Drones – Flight Path Planning, Optimization and Visualization"

There are more and more open discussions about drones delivering goods to customers. Even though this is still more like a dream it is already being tested by large e-commerce companieslike Alibaba in east China's Fujian province or Amazon in a test area along  the US-Canadian border.
Similarly, DHL has set up it’s first fixed inner-city drone route to a corporate customer in Guangzhou, China. Autonomous drones transport parcels of up to 5 kilograms over a distance of 8 kilometers between two delivery stations.
The challenge is the definition of an optimal 2D/3D flight path from a given base to a target station within a city-like environment. The objective can either follow economical or ecological aspects. A classical or even a more sophisticated approach based on Neural Networks and Machine Learning can be used. The use of Altair Activate for coding and execution is expected.
An already existing interface between Altair Activate and Unreal Engine will visualize your results in the world’s most advanced real-time 3D engine.

"Radar-Based Traffic Analysis in Smart Cities"

See the description from Infineon

"Be Mindful for the Generations to Come – A Dashboard for Sustainable Living"

See the description from MathWorks

"A Better Life with UV-C Radiation"

See the description from Osram

"A Better Life with Artificial Light"

See the description from Osram

"Passenger Counting for Public Transport Based on WiFi-Frames"

See the description from Pixida

"Drone Services"

See the description from SAP

Additional challenges were provided by five different chairs and professorships of TUM.

"Smart City"

This challenge was provided by Prof. Dr. Jens Großklags and Dr. Mo Chen (Chair of Cyber Trust).

See the description from the chair

"Maun Science Park Project"

This challenge was provided by Univ.-Prof. Dr.-Ing. Konrad Nübel (Professorship of Construction Management).

The Maun Science Park Project will be a unique opportunity for Botswana and the world to create a fertile test bed of a knowledge-based economy. We will build a living lab of 4IR enabled home community, a research institution and an accelerator facility. Sustainable and affordable living will be at the core of this Project, galvanizing global knowledge and 4IR technology with local tribal wisdom and culture. The outcome will become a blueprint for Africa and the world.

The L.Lab community, situated in Maun as a pilot project, will have 25 pilot Smart Homes located in the Maun Science and Research Park. The L.Lab is a model habitat that can be adopted across Africa that uses innovative digital solutions to improve citizens’ quality of life, improve the efficiency and operations of their community, while ensuring that the needs of the present and future generations with respect to economic, social and environmental aspects are met.

The L.Lab will have access to high-speed network infrastructure, innovation and research platforms available locally through the DIH and the Science and Innovation School of Excellence as well as access to international resources to support its operations. The L.Lab will be connected to a data hub to enable data collection, sharing and reuse for improved services for citizens.  The L.Lab solutions initially developed in Maun will be based on a natural and real-life setting, thus ensuring solutions developed are relevant to local challenges. For this to be realised, the local community will be engaged in the co-creation and development of these solutions. Once tested and piloted in Maun, the developed solutions will then be scaled for adoption across Botswana and the African continent.

What should the students work on:
We will start a co-creation process with local people and experts and also international experts all over the world.

What problem can the students think about solve:
The students shall develop a digital co-creation platform, throughout which  large participation processes can be managed and organized. A specific process plan will be given to the students.

Possible project ideas
The Maun Science Park project already exists. A group of international engaged people are trying to push this project forward:

For more information, please visit: https://www.maunsciencepark.com/home.html

"Big Data Analysis for Visualizing GHG Emissions"

This challenge was provided by Prof. Dr. Jia Chen (Professorship of Environmental Sensing and Modeling).

See the description from the chair

"Data Science for Sustainable Construction Materials"

A joint challenge was provided by Prof. Dr. Alisa Machner (Professorship of Mineral Construction Materials) and Prof. Dr. Torben Gädt (Chair of Construction Chemicals).

See the description from the chairs