Hammed Akande
@drhammed.bsky.social
PhD Researcher| Data Scientist| Quantitative Ecology| #AI, #R, #Python, #ML, #AWS, #GIS. Views = mine. Likes/RTs ≠ endorsements
6/6. EcoCast aims to support climate resilience and biodiversity protection across Africa by enabling timely, data-driven ecological forecasting.
👉The article can be downloaded:
arxiv.org/abs/2512.02260
👉The article can be downloaded:
arxiv.org/abs/2512.02260
EcoCast: A Spatio-Temporal Model for Continual Biodiversity and Climate Risk Forecasting
Increasing climate change and habitat loss are driving unprecedented shifts in species distributions. Conservation professionals urgently need timely, high-resolution predictions of biodiversity risks...
arxiv.org
December 9, 2025 at 11:48 PM
6/6. EcoCast aims to support climate resilience and biodiversity protection across Africa by enabling timely, data-driven ecological forecasting.
👉The article can be downloaded:
arxiv.org/abs/2512.02260
👉The article can be downloaded:
arxiv.org/abs/2512.02260
5/n. Our pilot study in Africa shows promising improvements in forecasting distributions of selected bird species compared to a Random Forest baseline, highlighting EcoCast’s potential to inform targeted conservation policies.
December 9, 2025 at 11:47 PM
5/n. Our pilot study in Africa shows promising improvements in forecasting distributions of selected bird species compared to a Random Forest baseline, highlighting EcoCast’s potential to inform targeted conservation policies.
4/n. We describe a three-phase approach: (1) constructing a large-scale, pre-trained spatio-temporal architecture, (2) continually fine-tuning with new data streams, and (3) developing interactive dashboards for conservation practitioners.
December 9, 2025 at 11:46 PM
4/n. We describe a three-phase approach: (1) constructing a large-scale, pre-trained spatio-temporal architecture, (2) continually fine-tuning with new data streams, and (3) developing interactive dashboards for conservation practitioners.
3/n.Utilizing multisource satellite imagery, climate data, and citizen science occurrence records, EcoCast predicts near-term shifts in species distributions.
December 9, 2025 at 11:46 PM
3/n.Utilizing multisource satellite imagery, climate data, and citizen science occurrence records, EcoCast predicts near-term shifts in species distributions.
2/n. In this work, co-authored with Abdulrauf A. Gidado. We proposed EcoCast, a novel spatio-temporal model designed for continual biodiversity and climate risk forecasting.
December 9, 2025 at 11:45 PM
2/n. In this work, co-authored with Abdulrauf A. Gidado. We proposed EcoCast, a novel spatio-temporal model designed for continual biodiversity and climate risk forecasting.
Congratulations 🎉!
January 26, 2024 at 9:31 PM
Congratulations 🎉!