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SUMMARY:VIewing Space ThroUgh machine Learning and Astrostatistics (VISTUL
 A)
DTSTART;VALUE=DATE-TIME:20260921T060000Z
DTEND;VALUE=DATE-TIME:20260925T160000Z
DTSTAMP;VALUE=DATE-TIME:20260815T154629Z
UID:indico-event-496@events.ncbj.gov.pl
DESCRIPTION:\n\nThe workshop is organized as part of the project CLEVER: C
 osmology & GaLaxy EVolution In The New ObsErving ProgRammes. Project found
 ed by the Strategic Partnership project BPI/PST/2024/1/00019 by NAWA – P
 olish National Agency For Academic Exchange.\n\nThe rationale\n\nMachine l
 earning and modern statistical methods are becoming central tools in astro
 physics and cosmology\, from survey data reduction and photometric redshif
 ts to time‑domain discovery\, image classification and parameter inferen
 ce. This workshop offers a structured introduction to statistical foundati
 ons and machine learning concepts.\n\nThe goal of this workshop is to prov
 ide a structured\, beginner‑friendly entry point to machine learning and
  advanced statistics in astrophysics\, while progressively reaching more a
 dvanced topics. The format will combine morning lectures with afternoon ha
 nds‑on sessions in which participants work through concrete astrophysica
 l use cases under the guidance of the invited speakers and local tutors. 
 \n\nThe workshop is aimed at Master’s students\, early‑stage PhD stude
 nts and junior researchers from NCBJ\, the University of Warsaw\, and the 
 CLEVER partner institutions. It will explicitly welcome participants with 
 limited prior exposure to machine learning\, provided they are comfortable
  with basic programming (e.g. Python) and standard statistical concepts. B
 y the end of the workshop\, participants should be able to: understand the
  main families of machine learning methods used in current astrophysical r
 esearch\; critically assess when a machine‑learning approach is appropri
 ate\; implement and evaluate simple models on real data\; and recognise co
 mmon pitfalls such as overfitting\, data leakage and biased training sets.
 \n\nThe invited speakers span a broad range of applications including gala
 xy formation and evolution\, large‑scale surveys\, time‑domain and tra
 nsient astronomy\, exoplanets and cosmology.\n\nHosted in Warsaw as part o
 f the CLEVER-NAWA partnership\, the workshop will strengthen training and 
 collaboration across the network by bringing together students\, junior re
 searchers\, and invited experts for a hands-on introduction to machine lea
 rning and advanced statistics in astrophysics.\n\nInvited speakers: \n\n\
 n	Ting-Yun Cheng (Kapteyn Astronomical Institute in Groningen)\n	Antonio L
 a Marca (Leiden Observatory\, European Space Agency)\n	Alex Razim (Centre 
 for Astrophysics and Cosmology\, Nova Gorica)\n	Carlo Schimd (Laboratoire
  d’Astrophysique de Marseille)\n	Will J. Pearson (National Centre for Nu
 clear Research)\n\n\n\n	\n		\n			SOC:\n			LOC:\n		\n		\n			Paweł Bielewic
 z (chair)\n			Subhrata Dey\n			Miguel Figueira\n			Nandini Hazra\n			Maria
 na Jaber\n			Katarzyna Małek\n			Will J. Pearson\n			Antonio Vanzanella\n
 			\n			Paweł Bielewicz (chair)\n			Nicola Principi Cavaterra\n			Aidan C
 otter\n			Kishan Deka\n			Subhrata Dey\n			Orest Dorosh\n			Paweł Siegmun
 d\n			Unnikrishnan Sureshkumar\n			Antonio Vanzanella\n			\n		\n	\n\n\nBan
 ner graphic designed by Barbara Durkalec\n \n\nhttps://events.ncbj.gov.p
 l/event/496/
LOCATION:NCBJ (Pasteura 7\, Warsaw) 207\, second floor
URL:https://events.ncbj.gov.pl/event/496/
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