Joint ICTP-IAEA Advanced School/Workshop on Machine Learning in Citizen Science | (smr 3824)
27 Feb to 3 Mar 2023
ICTP, Trieste (Italy)
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:
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.
27 Feb to 3 Mar 2023
ICTP, Trieste (Italy)
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.
- Abstract Templates
- DEADLINE: 08/01/2023
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