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X-WR-CALDESC:Events for Astrobiology
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DTSTART;VALUE=DATE:20260903
DTEND;VALUE=DATE:20261108
DTSTAMP:20260817T224821Z
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UID:61435-1788393600-1794095999@astrobiology.com
SUMMARY:Diplomado en Educación Científica - Instituto de Astrobiología de Colombia
DESCRIPTION:Diplomado en Educación Científica (Diploma in Science Education)\nÉnfasis en Ciencias Planetarias (Planetary Science Emphasis) \nUna experiencia académica que integra ciencia\, educación\, inteligencia artificial\, astronomía\, astrobiología\, astrofísica y exploración espacial. Desarrollado por el Instituto de Astrobiología de Colombia\, con el apoyo de Microsoft 365. (An academic experience that integrates science\, education\, artificial intelligence\, astronomy\, astrobiology\, astrophysics and space exploration. Developed by the Institute of Astrobiology of Colombia\, with Microsoft 365 support.) \n¡No necesitas conocimientos previos! (No prior knowledge required) \n3 de septiembre – 7 de noviembre\nJueves 6:30–8:30 p. m. | Sábados 8:00–11:00 a. m.\nHora Colombia | 🎓 120 horas certificadas \nColombia: $200.000 COP\nLatinoamérica y España: USD $65 \n¡INSCRIPCIONES ABIERTAS!\nCupos disponibles. Haz parte de una experiencia que conecta la educación con el universo. \n+57 316 528 83 09\nastrobiologia.org
URL:https://astrobiology.com/event/diplomado-en-educacion-cientifica-instituto-de-astrobiologia-de-colombia/
LOCATION:Online – Webinar
ATTACH;FMTTYPE=image/png:https://astrobiology.com/wp-content/uploads/2026/08/Instituto-de-Astrobiologia.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260914
DTEND;VALUE=DATE:20260919
DTSTAMP:20260906T163118Z
CREATED:20260807T212258Z
LAST-MODIFIED:20260906T163118Z
UID:60830-1789344000-1789775999@astrobiology.com
SUMMARY:Astrobiology Graduate Conference (AbGradCon) 2026
DESCRIPTION:5 September update – Program\, speakers\, social media etc. \nAstrobiology Graduate Conference (AbGradCon26) \nhttps://astrobiology.com/2026/09/04/astrobiology-graduate-conference-abgradcon26-update/ \n——-\nThe Astrobiology Graduate Conference (AbGradCon) is an annual\, student-led conference to highlight and promote the scientific research of early career astrobiologists.  Attendees of this conference are graduate students and post-doctoral researchers which creates a more relaxed atmosphere for scientific discussions and networking. The conference will be held at the University of Arizona this year from September 14-18th. Abstract submissions have already closed for this year.
URL:https://astrobiology.com/event/astrobiology-graduate-conference-abgradcon-2026/
LOCATION:University of Arizona\, Environment and Natural Resources 2 Building (ENR2) at 1064 E Lowell St\, Tucson\, AZ\, 85719\, United States
ATTACH;FMTTYPE=image/png:https://astrobiology.com/wp-content/uploads/2026/08/ABGradCon26.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260916
DTEND;VALUE=DATE:20260919
DTSTAMP:20260808T152846Z
CREATED:20260808T151453Z
LAST-MODIFIED:20260808T152846Z
UID:60938-1789516800-1789775999@astrobiology.com
SUMMARY:Machine Learning in Solar and Planetary Research Summer school
DESCRIPTION:The Europlanet Early Career Network and the Europlanet Machine Learning Working Group is excited to announce the Machine Learning in Solar and Planetary Research Summer school.  Being organized by Space Research and Technology Institute (SRTI) – Bulgarian Space Agency\, the programme will feature talks\, workshops on varied themes like Foundations and Tools in ML\, Solar and Space-Weather\, Planetary Imaging and Spectroscopy etc.
URL:https://astrobiology.com/event/machine-learning-in-solar-and-planetary-research-summer-school/
LOCATION:Space Research and Technology Institute (SRTI)\, Primorsko\, Bulgaria
ATTACH;FMTTYPE=image/jpeg:https://astrobiology.com/wp-content/uploads/2026/08/Machine-Learning-1.jpg
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DTSTART;TZID=America/New_York:20260917T160000
DTEND;TZID=America/New_York:20260917T170000
DTSTAMP:20260910T163737Z
CREATED:20260910T163737Z
LAST-MODIFIED:20260910T163737Z
UID:62246-1789660800-1789664400@astrobiology.com
SUMMARY:NASA Ames AI/ML Seminar: Harnessing Trust: Agentic AI Workflow in Exoplanetary Climate Modeling
DESCRIPTION:JOIN THE AI/ML SEMINAR SERIES \nEveryone is invited to the monthly artificial intelligence and machine learning virtual seminar hosted by the AI-Astrobiology Initiative at NASA Ames Research Center. Previously recorded seminars can be found on the AI-ML Astrobiology YouTube channel. \nThe speaker for this event will be Dr. Eric Wolf from the University of Colorado\, Boulder.\nTitle: Harnessing Trust: Agentic AI Workflow in Exoplanetary Climate Modeling \nAbstract: Large language models (LLMs) are now broadly used across society\, and their usage amongst research scientists is increasing. On one hand LLMs have helped resolve open problems in mathematics and physics\, on the other a hallucinated reference can land you a 1-year ban from arXiv. The top-end capability of high-functioning AI systems is not in question\, but trust in everyday workflows is. Should you let an LLM \nfind relevant citations\, write plotting scripts\, perform critical calculations\, act on real file systems\, and \nderive real scientific results? The inherent probabilistic nature of LLM outputs contradicts trained scientific skepticism of anything that cannot be reproduced deterministically. \nIn this talk\, Dr. Wolf will discuss how LLMs moved from a hesitant curiosity to the agentic connective tissue linking my entire research workflow. I review real world use cases from my work in exoplanetary climate modeling\, in ascending complexity and stakes. I report successes\, failures\, and lessons learned along the way. Trust in AI-driven agentic workflows is not a vibe\, but a property of the harness you build around it. Encouragingly\, building agentic workflows is increasing efficiency\, reducing technical barriers\, and opening new research opportunities.
URL:https://astrobiology.com/event/nasa-ames-ai-ml-seminar-harnessing-trust-agentic-ai-workflow-in-exoplanetary-climate-modeling/
LOCATION:Online – Webinar
ATTACH;FMTTYPE=image/png:https://astrobiology.com/wp-content/uploads/2026/03/NASA-Ames-AIML-Seminar-Series-Machine-Learning.png
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