The veridical data science one-day workshop at University of Roma la Sapienza aims at showcasing and promoting veridical (truthful) data science towards reproducible and reliable data analysis and decisions. It intends to build a community of veridical data science researchers in Europe for trustworthy data science and machine learning.
https://www.integreat.no/events/public-events/workshops/veridical-data-scien...
The workshop discussions will provide opportunities for statisticians and data scientists to identify important research topics and critical applications in academia and industry. Graduate students and early career researchers will benefit from this workshop to find future research directions.
Time and place: June 20, 2025 9:00 AM - 6:00 PM, Aula Acquario, MEMOTEF, University of Roma la Sapienza, Rome, Italy https://g.co/kgs/LvBFmg2
Registration is free but required. Please follow this linkhttps://nettskjema.no/a/veridicaldatascienceroma. Deadline for registration: June 10th, 2025.
Call for oral contributions: We are pleased to invite researchers from all stages in academia and industry to submit abstracts for consideration to give a contributed talk in the workshop on Veridical Data Science in Rome. We encourage submissions from graduate students and early career researchers. To submit your abstract please send a pdf file with information about the authors, identifying the presenter at the workshop, and an abstract of between 1 to 4 pages. Use this email: admin@integreat.nomailto:admin@integreat.no Deadline is May 10, 2025. Acceptance will be communicated by May 20. The accepted presentation will be given orally and will be of various length, depending on the final programme.
For additional information, please contact the organising committee at admin@integreat.nomailto:admin@integreat.no.
The workshop is co-organized by Integreat, the Norwegian centre for knowledge-driven machine learning in Oslo, the Department of Statistics, University of California, Berkeley, the L'EMbeDS Department of Excellence at the Sant'Anna School of Advanced Studies at Pisa, and the Department of Methods and Models for Economics, Territory and Finance of the University of Roma La Sapienza and the Institute for Systems Analysis and Computer Science of the Italian National Research Council.