A new approach to assess pesticide exposure helps understand and reduce health risks.

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From the album "Bright Future", out now: https://music.bababrinkman.com/album/bright-future https://linktr.ee/bababrinkman Rap battle between a data scientist and a classical statistician, arguing for predictive algorithmic models versus inferential data models respectively. Learn more: https://community.alteryx.com/t5/Alter-Everything/43-Data-science-through-the-eyes-of-statisticians/ba-p/468226 https://towardsdatascience.com/thoughts-on-the-two-cultures-of-statistical-modeling-72d75a9e06c2 https://www.nature.com/articles/nmeth.4642 Music Produced, Mixed, and Mastered by Mr. Simmonds Video by Haley Monson Made with support from alteryx

Changes in seasonal timing affect species and ecosystem response to environmental change. Observations of plant and animal phenology as well as remote sensing and modeling studies document complex interactions and raise many open questions. We invite contributions with cross-disciplinary perspectives that address seasonality changes based on recent plant and animal phenological observations, pollen monitoring, historical documentary sources, or seasonality measurements using climate data, remote sensing, flux measurements or modeling studies. Contributions across all spatial and temporal scales are welcome that compare and integrate seasonality changes, study effects of long-term climate change or single extreme events, emphasize applications and phenology informed decision-making, discuss species interactions and decoupling, advance our understanding of how seasonality change affects carbon budgets and atmosphere/biosphere feedbacks, and integrate phenology into Earth System Models. We emphasize phenology informed applications for decision-making and environmental assessment, public health, agriculture and forest management, mechanistic understanding of the phenological processes, and effects of changing phenology on biomass production and carbon budgets. We also welcome contributions addressing international collaboration and program-building initiatives including citizen science networks and data analyses. This session is organized by a consortium representing the International Society of Biometeorology (Phenology Commission), the Pan-European Phenology Network - PEP 725, the Swiss Academy of Science SCNAT, the TEMPO French Phenology Network and the USA National Phenology Network.