Starts 28 Nov 2022
Ends 2 Dec 2022
Central European Time
*** CANCELLED *** Joint ICTP-IAEA Advanced School/Workshop on Machine Learning in Citizen Science | (smr 3739)
Online -
Online
An ICTP-IAEA Online Meeting.
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:
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. A limited number of abstracts will be selected for poster presentation.
Registration: There is no registration fee.
In the application form, all applicants are encouraged to submit an abstract. A limited number of abstracts will be selected for poster presentation.
Registration: There is no registration fee.
**DEADLINE: 11/11/2022**
- Organizer(s)
- Matteo Barbarino (IAEA), Amy Flatten (American Physical Society), Anil Mishra (UNESCO (IHP)), Petra Rudolf (European Physical Society), Local Organiser: Marco Zennaro (ICTP)
- Cosponsor(s)
- International Year of Basic Sciences for Sustainable Development
iybssd , International Atomic Energy Agencyiaea3 , European Physical Societyeps , American Physical Societyaps , UNESCOunesco - 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), Local Organiser: Marco Zennaro (ICTP)
