Joint ICTP-IAEA Advanced School/Workshop on Machine Learning in Citizen Science | (smr 3824) (27 February 2023

Administration

Description

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.

Material

Abstract Templates Case study presentations booklet Final list of participants Poster group photo

Joint ICTP-IAEA Advanced School/Workshop on Machine Learning in Citizen Science | (smr 3824)

Go to day

Monday, 27 February 2023

09:00 - 10:30

09:00 Registration and administrative formalities 1h30'

Upon arrival, Visitors not staying in the ICTP Guest Houses, are kindly requested to complete registration formalities at the Adriatico Guesthouse, Registration Desk (Lower level) from 9.00 till 10.30.

10:00 Coffee break 30'

10:30 - 12:00

10:30 Opening Remarks 30'

Speaker:

Petra RUDOLF (-remote, EPS, France), Matteo BARBARINO (IAEA, Austria), Koen VERBIST (-remote, UNESCO, France), Marco ZENNARO (ICTP, Italy)

11:00 Intro to Citizen Science 1h0'

Speaker:	Simona CERRATO (ECSA, Germany)
Material:	Slides

12:00 - 14:00
- 12:00 Lunch Break 2h0'

14:00 - 17:30

14:00 App Inventor 2h0' ( Adriatico Guest House - Denardo Informatics Laboratory )

Speaker:	Robert PARKS (MIT, USA)
Material:	Slides

16:00 Coffee break 30'
16:30 App Inventor 1h0' ( Adriatico Guest House - Denardo Informatics Laboratory )

Speaker: Robert PARKS (MIT, USA)

Tuesday, 28 February 2023

09:00 - 12:30

09:00 Introduction to ML 1h0'

Speaker:	Michelle KUCHERA (Davidson College, USA)
Material:	Slides

10:05 Coffee break 25'
10:30 Group Photo 5'
10:30 Introduction to ML 1h0'

Speaker: Michelle KUCHERA (Davidson College, USA)

11:30 Case studies from participants 1h0'

1. MALATIM Zakariya Tariq 'Citizen research about the nuclear science research in Libya'
2. OPOKU-NTIM Irene 'Home Radon Testing, Environmental Health Literacy, and Efficacy in the Greater Accra Region of Ghana: A Citizen Science Approach'
3. OLIVERA MARRERO Orestes José 'Machine Learning in progress: Python and Sklearn to improve nuclear training'
4. CALDERS Stijn 'the Radio Meteor Zoo, a Zooniverse project'

Material:

Slides

12:30 - 14:00
- 12:30 Lunch Break 1h30'
14:00 - 17:30
- 14:00 App Inventor 2h0' ( Adriatico Guest House - Denardo Informatics Laboratory )
  
  Speaker: Robert PARKS (MIT, USA)
- 16:00 Coffee break 30'
- 16:30 ML Lab 1h0' ( Adriatico Guest House - Denardo Informatics Laboratory )
  
  Speaker: Michelle KUCHERA (Davidson College, USA)
19:30 - 21:00
- 19:30 Welcome Reception 1h30' ( Adriatico Guest House - Cafeteria )
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All participants are cordially invited to the Welcome Reception.
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Wednesday, 1 March 2023

09:00 - 12:30

09:00 PoPAI 1h0'
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remote
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Speaker: Emanuela GIRARDI (PoPAI)
10:00 Coffee break 30'

10:35 Case studies from participants 1h0'

1. ATMAJA Bagus Tris 'An acoustic-based emergency condition detection for elderly people living alone using keyword spotting'
2. BHOWMICK Ranjan Amiya 'Role of Data Science and Machine Learning in Managing Plant Invasion Under Climate Change: A Case Study with ILORA Database in India'
3. BOURENANE Abdelghani 'Natural Language Processing for Environmental Citizen-Generated Data to Study Climate Change Risk and Design Adaptation Techniques in Agricultural Areas, Grape Cultivation as a Case Study'
4. SAAD Mushfiqur Rahman 'Leveraging the Power of Citizen Science and Machine Learning to Transform Low-Income Communities'

Material:

Slides

11:30 Soil quality sensors and Citizen Science 1h0'
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remote
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Speaker: Jaione TIRAPU AZPIROZ (IBM Research, Brazil)

12:30 - 14:00
- 12:30 Lunch Break 1h30'
14:00 - 17:30
- 14:00 App Inventor 2h0' ( Adriatico Guest House - Denardo Informatics Laboratory )
  
  Speaker: Robert PARKS (MIT, USA), Anqi ZHOU (MIT, USA)
- 16:00 Coffee break 30'
- 16:30 ML Lab 1h0' ( Adriatico Guest House - Denardo Informatics Laboratory )
  
  Speaker: Michelle KUCHERA (Davidson College, USA)

Thursday, 2 March 2023

09:00 - 12:30

09:00 Ethics of Citizen Science 1h0'

Speaker:	Emma RUTTKAMP-BLOEM (University of Pretoria, South Africa)
Material:	Slides

10:00 Coffee break 30'
10:30 Ethics of AI 1h0'

Speaker: Emma RUTTKAMP-BLOEM (University of Pretoria, South Africa)

11:30 UNESCO Recommendation on Ethics of AI 1h0'

Speaker:	Emma RUTTKAMP-BLOEM (University of Pretoria, South Africa)
Material:	Slides

12:30 - 14:00
- 12:30 Lunch Break 1h30'

14:00 - 18:30

14:00 Isotope Hydrology 1h0'
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remote
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Speaker: Astrid HARJUNG (IAEA, Austria), Cecile CARTON, (Université du Québec à Montréal, Canada)

15:00 Citizen Science for Drought Prediction Tool 1h0'

remote

Speaker:	Muthoni MASINDE (Central University of Technology, South Africa)
Material:	Slides

16:00 Coffee break 30'
16:30 App Inventor 2h0' ( Adriatico Guest House - Denardo Informatics Laboratory )

Speaker: Robert PARKS (MIT, USA), Anqi ZHOU (MIT, USA)

Friday, 3 March 2023

09:00 - 12:30

09:00 AI for Good 1h0'

Speaker:	Thomas BASIKOLO (ITU, Geneva, Switzerland)
Material:	Slides

10:00 Coffee break 30'

10:30 ECSA presentation 1h0'

Speaker:	Simona CERRATO (ECSA, Germany)
Material:	Slides

11:30 Case studies from participants 1h0'

1. ALI Mohammed Endris 'Data Policy and Governance for Public Service'
2. PRAJAPATI Jagdish Jyoti 'Projected Distribution of 218 Invasive Plant Species in India under climate change: Identification of Hotspots and Management Implications'
3. RODRIGUES MIRANDA Caetano 'Mapping and engaging general public towards a low carbon society: introducing machine learning on citizen science programs'
4. VOSKANYAN Marine 'Citizen Science as a Tool to Monitor the Water Pollution. A Case Study of Lake Sevan, Armenia'

Material:

Slides

12:30 - 14:00
- 12:30 Lunch Break 1h30'
14:00 - 18:00
- 14:00 App Inventor 2h0' ( Adriatico Guest House - Denardo Informatics Laboratory )
  
  Speaker: Robert PARKS (MIT, USA), Anqi ZHOU (MIT, USA)
- 16:00 Coffee break 30'
- 16:30 App Inventor 1h0' ( Adriatico Guest House - Denardo Informatics Laboratory )
  
  Speaker: Robert PARKS (MIT, USA), Anqi ZHOU (MIT, USA)
- 17:30 Course closing 30'