Workshop Explores the Power of Generative AI in Social Science Research with SCOPE, #AIonDemand, and #NestBW Projects

On June 6-7, a collaborative workshop led by the Societal COmmunication in times of PErmacrisis (SCOPE) project, along with #AIonDemand and #NestBW, showcased the transformative potential of generative AI (GenAI) in social science research. The event aimed to introduce social scientists to AI tools that can reimagine research processes, drawing in over 40 interdisciplinary attendees, including sociologists, political scientists, media scientists, journalists, physicists, AI researchers, and computational social scientists.

The workshop featured five international speakers who provided hands-on insights and demonstrations:

  • Talk 1: Prof. Dr. Paul Lukowicz, Humane AI Net Coordinator and DFKI director, covered the fundamentals of large language models, highlighting their capabilities and limitations.
  • Talk 2: Fiona Draxler, a postdoc at the University of Mannheim, shared her experiences using GenAI for qualitative analysis.
  • Talk 3: Razia Aliani, a Canadian consultant and top LinkedIn research voice, offered a hands-on tutorial on conducting literature reviews and efficiently analyzing data with AI, showing researchers how to streamline paper writing using generative AI tools.
  • Talk 4: Hugo Alves, co-founder of Synthetic Users, demonstrated the generation of interview data based on predefined demographics and led discussions on the pros and cons of synthetic data in research.
  • Talk 5: Passant Elagroudy, DFKI postdoc and Humane AI Net project manager, presented existing GenAI resources for conducting research, including the GenAI research resources website here.

Organized by Passant Elagroudy, Talisa Schwall, Olga Zagovora, Simone Mitzner, and Michaela Maier, the event concluded with hands-on group activities, where participants reimagined their research projects in the light of GenAI.

Stay tuned for the talk recordings and materials, soon to be available on #AIonDemand.

Event details: https://lnkd.in/dt57j96p

 

DFKI Researchers Win Big with 20-Year Impact and Best Paper Awards in AI and Wearable Technology

Congratulations to the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) and its collaborators for winning two prestigious awards, highlighting groundbreaking contributions to AI and wearable technology.

🎉 20-Year Impact Award
Principal Investigator Paul Lukowicz, alongside co-authors Helene Brashear, PhD, Thad Starner, and Holger Junker, received the 20-Year Impact Award for their seminal paper, “Using Multiple Sensors for Mobile Sign Language Recognition.” This pioneering work set a strong foundation for sign language recognition using multi-sensor technology, establishing frameworks that continue to influence mobile and AI-assisted accessibility.

📰 Read the paper: https://lnkd.in/edJBVkJD
📽 Announcement video: https://lnkd.in/e_4dmM4S

🎉 Best Paper Award
The DFKI and RPTU Kaiserslautern-Landau team, including Lala Ray, Dr. Bo Zhou, Sungho Suh, and Paul Lukowicz, won the Best Paper Award for their innovative research titled “Selecting the Motion Ground Truth for Loose-fitting Wearables: Benchmarking Optical MoCap Methods.” This paper addresses a key challenge in wearable technology, offering a robust benchmarking approach for motion tracking in loose-fitting wearables, which promises to enhance accuracy and usability in real-world applications.

📰 Read the paper: https://lnkd.in/efYqvPW4
📽 Announcement video: https://lnkd.in/ec4Mrw7e

Kudos to all the winners for their outstanding work in advancing AI and wearable tech research!