Ethical Considerations in Health Data Science
A joint meeting organised by the British and Irish Region of the International Biometric Society and the Data Ethics and Governance Section of the Royal Statistical Society
Speakers include Loïc Lannelongue (University of Cambridge), Ilya Shpitser (Johns Hopkins University), and Deborah Wiltshire (GESIS).
Registration is needed for this meeting; please find the link and description of fees beneath the schedule below. The AGM itself is free to attend, and without lunch there is no need to register. RETIRED MEMBERS of the IBS can attend the join meeting with the RSS for free.
12th December, 12:45-5pm
Lecture Theatre, RSS, 12 Errol Street, London EC1Y 8LX
(with the IBS-BIR AGM preceding the meeting at 12:15pm)
TIMETABLE
12:15pm IBS-BIR AGM (IBS-BIR members only)
12:45pm LUNCH & Arrival for Main Meeting
1:30pm Introduction
1:35pm Talk 1: Tackling the hidden costs of computational science: GREENER principles for environmentally sustainable research
Speaker: Loïc Lannelongue, University of Cambridge
2:20pm Discussion of Talk 1
2:30pm Talk 2: Title TBC (topic: a causal inference approach to fairness)
Speaker: Ilya Shpitser, Johns Hopkins University
3:15pm Discussion of Talk 2
3:25pm COFFEE BREAK
3:45pm Talk 3: Ensuring the ethical use of big data: lessons from secure data access
Speaker: Deborah Wiltshire, GESIS Leibniz Institute for the Social Sciences
4:30pm Discussion of Talk 3
4:40pm Further general discussion
5:00pm Meeting Close
ATTENDANCE FEES
See the sign up page on Eventbrite to register for the meeting (not needed if you plan to attend the AGM only). Fees include lunch.
Members of either IBS-BIR or RSS or both: £40
Non-members: £65
Students: £20
Titles and abstracts
Tackling the hidden costs of computational science: GREENER principles for environmentally sustainable research
Loïc Lannelongue (University of Cambridge)
From genetic studies and molecular simulations to AI, scientific computing has enabled amazing discoveries and there is no doubt it will continue to do so. However, the corresponding environmental impact is a growing concern in light of the urgency of the climate crisis, and there is widespread interest in the research community; so what can we all do about it? Tackling this issue and making it easier for scientists to engage with sustainable computing is what motivated the Green Algorithms project. Through the prism of the GREENER principles for environmentally sustainable science, we will discuss what we learned along the way, how to estimate the impact of our work and what levers scientists and institutions have to make their research more sustainable. We will also debate what hurdles exist and what is still needed moving forward.
TBD
Ilya Shpitser (Johns Hopkins University)
Ensuring the ethical use of big data: lessons from secure data access
Deborah Wiltshire (GESIS)