For Companies
The LLM & Language Processing for Social Good workshop is an opportunity for industry to engage directly with the Berlin-Brandenburg research community. By sponsoring the event, companies can showcase their commitment to ethical and socially impactful AI, connect with top researchers, and exchange ideas with young academics.
Your support helps us create an inspiring and inclusive event while giving your organization visibility among emerging and established experts in speech and language technologies.
Why Sponsor?
Visibility
As a sponsor, your logo will be featured on the conference website, flyers, posters, and during the event.
Engagement
Engage with young researchers in the Berlin area and the academic community.
Contribution to Social Good
Your support will help us to connect all participating students interested in social good.
If you would like to support us, please send us an e-mail to lp4g@dfki.de .
SPONSORSHIP OPPORTUNITIES
Event Sponsor
Full sponsor for the dinner or keynote session, prominent branding of sponsor.
Coffee Break Sponsor
Covering snacks and beverages, with medium-sized branding on signage and materials.
General Sponsor
Contributing smaller amounts for the overall conference, with recognition in promotional materials. Include specific benefits for each tier, like: Branding on banners, conference badges, or program booklets. Booth space for companies to showcase their products or recruit talent. Opportunity to give a short talk or presentation during the event.
DFKI researches and develops AI applications for industry and public use. By participating in this workshop, DFKI continues its work in bringing scientific research into practice to serve people and society.
BIFOLD is a national research center in Berlin that combines machine learning with big data management. Based at TU Berlin, the institute brings together over 150 researchers to develop reproducible AI technologies while prioritizing diversity and ethical research practices.
TU Berlin is a public university that specializes in engineering and computer science research. The institution focuses on applying scientific findings to industrial and social challenges while helping students develop their research into practical applications.
