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X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
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TZID:Europe/Helsinki
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TZOFFSETFROM:+0200
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DTSTART:20260329T010000
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DTSTART;VALUE=DATE:20260712
DTEND;VALUE=DATE:20260720
DTSTAMP:20260711T071821
CREATED:20260601T123602Z
LAST-MODIFIED:20260601T123602Z
UID:18990-1783814400-1784505599@crest.science
SUMMARY:Statistics and Learning Theory Summer School
DESCRIPTION:\n\n\n\n\n\n\nThe Faculty of Mathematics and Mechanics of the Yerevan State University\, in collaboration with CREST\, Paris\, is organizing a \n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSummer School on\nStatistics and Learning Theory\n\n\n\n\nwhich will be held on July 12 – 19\, 2026\, Armenia. \n\n\n\n\nThe target audience of the Summer School are university undergraduate seniors\, Master and PhD students and researchers\, as well as industry people interested in Probability\, Statistics\, Machine Learning and applications. Lectures will be in English. \n\n\n\n\nThe above photos are from the previous event organized in Armenia\, the  Summer School on Cryptography\, Statistics and Machine Learning\, June 29 – July 06\, 2025. \n\n\n\n\nThe participation fee is 450 EUR for academia participants and 600 EUR for industry participants. The participation fee will cover all local expenses\, including registration fee\, accommodation and full board. We have a special discounted participation fee of 250 EUR for undergraduate\, master and PhD students from Armenian Universities.  We intend to have some scholarships for academia participants to cover (fully or partially) their participation fees. For more details about how to apply for the scholarship\, please see the Registration page. \n\n\n\n\nSince the number of participants is very limited\, the selection process is assumed for the registered participants. After receiving the participation approval\, and only in that case\, the payment should be made to the account provided in the confirmation email. \n\n\n\n\nThe deadline for registration is June 15\, 2026. Please find the registration form below. \n\n\n\n\nThe Arrival Day is July 12\, 2026\, and the Departure Day is July 19\, 2026. \n\n\n\n\nFor contact addresses\, please visit the Contacts Page. \nMore information here. \nThe conference benefits from the support of the ERC SAGMOS Grant.\nFunded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.\n\n\n\n\n\n\n\n
URL:https://crest.science/event/statistics-and-learning-theory-summer-school/
CATEGORIES:Conferences and Workshops,Statistics
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20260713
DTEND;VALUE=DATE:20260822
DTSTAMP:20260711T071821
CREATED:20260211T075438Z
LAST-MODIFIED:20260211T075438Z
UID:18801-1783900800-1787356799@crest.science
SUMMARY:CEMRACS 2026 - Modeling and AI for environmental transition
DESCRIPTION:We are pleased to announce the multidisciplinary summer school and research program\n“CEMRACS 2026 – Modeling and AI for Environmental Transition”\,\nto be held at the Centre International de Rencontres Mathématiques (CIRM) in Marseille. \nCEMRACS 2026 is aimed at PhD students\, advanced master’s students\, and junior researchers\, and will focus on mathematical and statistical modeling and artificial intelligence applied to key challenges in:\nenvironmental and energy economics\, actuarial science\, sustainable finance\, ecology\, and climatology. \nThe event consists of: \n\na one-week summer school(July 13–17\, 2026)\, followed by\na five-week research session(July 20 – August 21\, 2026)\,\n\nduring which participants will work in small groups on research projects supervised by senior researchers.\nParticipants may attend only the summer school\, or both the summer school and the research session (the latter subject to selection). \nSummer school courses\n\nMathematical modeling for biodiversity— M. Barbier\nMathematical modeling for climate: stochastic dynamics\, extreme events\, large deviations— F. Bouchet\nClimate risks\, insurance\, insurability\, and rare events— O. Lopez\nMachine learning for climate change— C. Monteleoni\nComputational and AI methods in climate economics— S. Scheidegger\n\nSpecial invited lectures\n\nMathematical models for carbon emission markets— R. Aïd\nMathematical bioeconomics for sustainable fisheries— L. Doyen\nMean-field game models for energy transition— R. Dumitrescu\nModeling of the water cycle at the interface between climate\, hydrology\, and socio-economy— J. Polcher\n\nFor further details on the program\, the list of research projects\, and registration instructions\, please visit the event website:  https://cemracs2026.math.cnrs.fr/ \nDeadlines \n\nApplication to the research session: March 31\, 2026\nSummer school registration: March 31\, 2026 (early bird) or May 31\, 2026\n\n
URL:https://crest.science/event/cemracs-2026-modeling-and-ai-for-environmental-transition/
CATEGORIES:Conferences and Workshops,Finance-Insurance
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