Association SURFRIDER
Surfrider Foundation Europe, a leading NGO dedicated to the protection of the ocean and coastlines for over 35 years, raises awareness among citizens and businesses about the preservation of aquatic environments.
DID YOU KNOW ?
In 2024, more than 1,300,000 items of litter were collected during clean-up operations in France, highlighting the alarming scale of pollution affecting our oceans, rivers and coastlines.
Raising awareness among your teams about these issues is a powerful way to strengthen your CSR commitment and bring your environmental values to life.
Detailed intervention formats
Outdoor activities:
- Litter clean-ups on foot or by kayak (up to 700 participants, in groups of 30 with a pair of facilitators).
- Educational walks focusing on coastal biodiversity and climate-related challenges.
Indoor activities:
- DIY workshops: creating natural products to reduce chemical pollution and - packaging waste (maximum 30 participants).
- Thematic workshops (Fresques): Ocean, Climate, Waste or Upcycling (1 facilitator per 20 participants).
- “Climate Alert” Escape Game: an immersive game centred on climate disruption, followed by a participatory debrief.
- Talks & Masterclasses: led by experts on plastic pollution, climate change and sustainable coastal management.
- Digital Ocean Challenge: individual and team-based quizzes and challenges in partnership with the Energic app, delivered remotely or alongside an in-person seminar, lasting one month with 3 minutes of gameplay per day.
Practical information
- Duration: from 2 hours to a full day (or up to 2 days for environmental training programmes).
- Supervision: 2 facilitators for 35 participants.
- Languages: French and English.
- Fees: from €80 per person (local rate) — adjustable depending on company size, number of participants and booking lead time.
- Please allow at least 1–2 months’ notice prior to the event.
⚠️ Service-based activities only (no sponsorship or financial donations).
Contact
TO LEARN MOREThaïs LAMOUR - tlamour@surfrider