Starts 27 Feb 2023
Ends 3 Mar 2023
Central European Time
Joint ICTP-IAEA Advanced School/Workshop on Machine Learning in Citizen Science | (smr 3824)
ICTP
Giambiagi Lecture Hall (AGH)
Riva Massimiliano e Carlotta, Grignano
I - 34151 Trieste (Italy)
An ICTP-IAEA Meeting in presence
Citizen Science involves the public in scientific projects and can play an important role in generating large datasets. The convergence of data-driven Citizen Science projects and machine learning techniques can help tackle scientific and societal challenges.
The lectures cover the following topics:
- Introduction to Citizen Science
- Introduction to Open Science
- Basic concepts/tools for Machine Learning techniques
- Challenges and opportunities of using Machine Learning in Citizen Science
- Ethical aspects of Machine Learning in Citizen Science
- Machine Learning for nuclear sciences and applications
- Using Machine Learning and Citizen Science to address the UN Sustainable Development Goals
Call for Contributed Abstracts:
In the application form, all applicants are encouraged to submit an abstract of a case study. A limited number of abstracts will be selected for an oral presentation.
Registration: There is no registration fee.
**DEADLINE: 08/01/2023**
- Organizer(s)
- Matteo Barbarino (IAEA), Amy Flatten (American Physical Society), Anil Mishra (UNESCO (IHP)), Petra Rudolf (European Physical Society), Koen Verbist (UNESCO), Local Organiser: Marco Zennaro (ICTP)
- Cosponsor(s)
- International Atomic Energy Agency
iaea3 , European Physical Societyeps , American Physical Societyaps , UNESCOunesco3 - Secretary
- Monica Petronela Ancuta, Viktoriya Lvova, Adriana Pinto
Organizers
Matteo Barbarino (IAEA), Amy Flatten (American Physical Society), Anil Mishra (UNESCO (IHP)), Petra Rudolf (European Physical Society), Koen Verbist (UNESCO), Local Organiser: Marco Zennaro (ICTP)
