Starts 3 Oct 2022
Ends 7 Oct 2022
Central European Time
Kastler Lecture Hall (AGH)
Strada Costiera, 11 I - 34151 Trieste (Italy)
An ICTP-IAEA Hybrid Meeting. You can submit your application for participation in presence or online.

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. A limited number of abstracts will be selected for poster presentation. If applicable (see Grants section below), presenters may be awarded a grant to support their in-person attendance.

Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries and to those submitting an abstract. There is no registration fee.

**DEADLINE: 31/07/2022**


Matteo BARBARINO (IAEA), Amy FLATTEN (American Physical Society), Anil MISHRA (UNESCO (IHP)), Petra RUDOLF (European Physical Society), Local Organiser: Marco Zennaro (ICTP)