Plenary Session 2: Rigorous, responsible and reproducible science in the era of FAIR data and AI
Автор: Australian Research Data Commons - ARDC
Загружено: 2026-01-16
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Recorded: Tuesday 14 October 2025
Title: Plenary Session 2: Rigorous, responsible and reproducible science in the era of FAIR data and AI
Chair: Mercè Crosas
Presenters: Juliet A. Gerard, Ana Arjona, Agnes Kiragga
DESCRIPTION
The planetary and societal challenges of the 21st century are complex and multi-faceted. Given these characteristics, it is vital to leverage multi-stakeholder participation in transdisciplinary approaches, to maximise access to data from government, the private sector and academia, while leveraging new computational and AI-inspired methodologies.
Yet, in a world adapting to the challenges and opportunities of transformative technologies and unprecedented volumes of data, there is also pressure on science systems to maintain good practices and guidelines for the science of data. The opportunities to accelerate scientific discovery, through the adoption of new technologies, will only be realised if data intensive science is also rigorous, responsible and reproducible.
Juliet A. Gerard: Data, evidence, and policy: tips and tricks to help walk the tight-rope between research and policy in a messy and political world
Ana Arjona: The Urgency of Data Validation in the Social Sciences: An Illustration with Civil War Research
Agnes Kiragga: Strengthening Data Systems for Evidence Generation in Africa: The Data Science Without Borders Project
This is a recording from International Data Week 2025: https://internationaldataweek.org/idw...
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