@online{capucine_pineau2026,
  author = {Capucine Pineau, Lili},
  title = {Le {Signal.} {Build} 200 {Metres} from {The} {Ocean.}
    {Demolished} in 2023.},
  date = {2026-06-10},
  url = {https://www.cytopia.fr/cycles/2026/tech/conferences/tech_2/topics/ocean/},
  langid = {en-US},
  abstract = {Growing up near the ocean reveals the devastating,
    real-time reality of coastal erosion and sea-level rise, where
    familiar landscapes disappear and people are forced to abandon their
    homes. While adapting to these environmental shifts is crucial,
    smaller communities often lack the financial resources to hire large
    corporate firms for predictive climate forecasting. This
    presentation explores how the intersection of earth sciences,
    satellite technology, and artificial intelligence can democratize
    climate adaptation. By leveraging AI to model sea-level rise and
    coastal retreat, we can provide accessible, critical predictive
    solutions to the vulnerable communities that need them most.
    Finally, the talk will highlight the necessity of an
    interdisciplinary approach—combining tech with climate finance, law,
    and urban planning—to transform raw data into concrete, actionable
    resilience for our coastlines.}
}

@online{madimba2026,
  author = {Madimba, Joseph},
  title = {Artificial {Intelligence} and the {Environment}},
  date = {2026-06-10},
  url = {https://www.cytopia.fr/cycles/2026/tech/conferences/tech_2/topics/environment/},
  langid = {en-US},
  abstract = {This subject is highlighting a critical technological
    paradox. On one hand, the massive environmental cost of AI—such as
    its staggering energy demands, water footprint, and generation of
    electronic waste—poses a severe threat to planetary boundaries.
    Conversely, AI also presents extraordinary capabilities to support
    the broader ecological transition, offering innovative tools for
    environmental monitoring, precision agriculture, and complex climate
    modeling. Ultimately, we will question how we can reconcile this
    duality, ensuring that AI serves to reinforce sustainable ecological
    mechanisms rather than simply accelerating environmental
    destruction.}
}