Hackathon participants were tasked with using ChatGPT to prototype tools to help scientists and create a start-up. 24 participants competed through 8 teams and presented their ideas. They were judged by a jury comprising academic and industrial researchers as well as entrepreneurs! We are proud of all the teams and the fantastic ideas they generated. The developed assets will be available through the HumanE-AI-Net project page on the AIoD Platform.

Introducing the Teams

The Winning Teams

1st Place: Team Data Scribe by Salma Wafa, Olga Zagovora and Lars Krupp.
They created a tool to summarise related work and fetch all relevant resources like GitHub and other ones you missed.

2nd Place: Team Swansons Scholarly Insights by Niklas Hoepner, Giacamo Zamprogno, Dimitris Alivanistos and Leon Eshuijs.
They created a tool using the Swanson method to discover impactful papers and deduce new hypotheses by linking them from different domains. 

3rd Place: Team Shower Wisdom by Hend ElDamaty, Michaela Vollmer and Jan Tauberschmidt.
They created a tool to capture thoughts during showers and give you quick audio feedback on whether pursuing them is a good idea. 

The Remaining Outstanding Teams

Team HelpMyProject by Maya Santini, Thomas Joly and Thanushan Pirabakaran.
They created a tool to help you find relevant funds for your research proposals.

Team Evidio (Your AI Powered Research Assistant) by Enrique Lopez Cuena, Ashwin Kumar Gururajan and Daniel Hinjos Garcia.
They built a tool to revisit the way we do lit reviews and 'converse' with the papers in the databases.

Team VerityLens by Muhammad Asad Ali and Umar Khan.
They built a tool to show sentiment analysis tools about hashtags on Twitter/X.

Team Science Seeker by Berend Barkela, Ines Welzenbach-Vogel and Reem Gozlan.
They built a tool to visualise how scientific results are 'used and debated' by the public, especially politicians. 

Team Efficiently Detecting Uncertainty Science Communication by Aidar Zinnatullin, Lukas Fock and Yasmine Halawa.
They built a tool to detect 'misinformation' in political speeches. 

The Speakers

We were honoured to have several distinguished speakers:

Prof Kaisa Vaananen, Tampere University, spoke about the research cycle and presented models to understand 'pain points' for researchers.

Dr Jie Li, EPAM,  spoke about the impact of replacing humans by GenAI during user research and highlighted that GenAI 'interpolates' while people 'extrapolate'.

Prof Dr Albrecht Schmidt, LMU Munich, gave a tutorial on how to do prompt engineering and discussed the tricky question of whether content created by ChatGPT is 'original' or not.

Corey Wright, Start2 Group, gave a tutorial on how to pitch your idea fast and effectively without boring the audience.

Stefan Gerd Fritsch, DFKI, gave a tutorial about how to use the ChatGPT coding API
 

The Organisers

• Siobhán O'Neill, Insight SFI Research Centre for Data Analytics, University College Cork
• Anastasiya Zakreuskaya, ExSitu, Inria
• Mohamed Selim, DFKI
• Joanna Sorysz, DFKI and RPTU Kaiserslautern
• Stefan Gerd Fritsch, DFKI
• Marco Hirsch, DFKI
• Sebastian Vollmer, DFKI
• Georgios Spathoulas, NTNU
• Passant Elagroudy, DFKI and RPTU Kaiserslautern
• Paul Lukowicz, DFKI