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15 February 202314:00

Developing data science and AI from a public sector perspective: the Turing Public Policy Programme with Helen Margetts OBE, Professor of Society and the Internet and Director of the Public Policy Programme at the Alan Turing Institute

Most Data Science and Artificial Intelligence (DSAI) methodologies and tools are developed by the private sector, for the private sector. This talk discusses these data-powered technologies from a public sector perspective.. Full details
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1 March 202311:00

Research Software Engineer Community Social

Are you a Research Software Engineer (RSE) or in a similar role? Are you a PhD student who writes code on a regular basis? If so, the RSE Group would like to invite you to their monthly social. Full details
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30 March 202318:00

Can I Trust Science?

From anti-vaxxers to climate deniers, not everyone trusts science. Join us for a special live event with a panel of international experts to look at why there is mistrust and positive antidotes to deal with it. We’ll be exploring the Open Science movement, which is sweeping the globe promoting practices to make science more transparent and less biased. One method is sharing data – that increases trust through openness and accelerates the quality of research. There are hurdles to sharing data: who owns it, how it’s arranged, and the motivation of scientists when their careers are driven by publishing results. But are there limitations, a tyranny of openness? Sharing data without acknowledgement or payment may lead to exploitation of those who produced it. We’ll examine the ethics of data and share positive solutions to make science more responsible, so we can all trust it.. Full details
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31 March 202316:30

Is Open Science Good for Research?

This public debate brings together world-leading scholars working at the intersection of Open Science, Science and Technology Studies and the philosophy of science, to discuss the value, opportunities and challenges involved in making research more open. The Open Science movement has been tremendously successful, spurring a global shift in research policies, evaluation procedures and publication channels. At first sight, this seems to be a very good thing: a necessary development in the face of research and publication practices that have grown more and more restrictive, inaccessible and (arguably) unreliable over the last few decades. At the same time, the specific ways in which science is being made open – ranging from Open Access publishing agreements to Open Data mandates by funders and research institutions – are proving controversial and, in some cases, downright damaging to at least some forms of research.. Full details
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20 - 21 April 2023

Machine Learning for Earth Observation with the Environmental Intelligence Network

Recent years have witnessed a dramatic increase in the acquisition of remote sensing observations from satellite, aircraft and drone-based sensors, and in-situ devices. Technological advances have led to improvements in measurement resolution and precision, which is shifting the paradigm of Earth observation from data scarcity to data abundance. While these data have enormous potential for helping us achieve a range of United Nations Sustainable Development Goals, identifying the optimal approaches for handling and analysing these large datasets remains a challenge for both academia and industry. Recent breakthroughs in AI/ML offers promising solutions to these challenges, including automated identification and extraction of key observations, predicting future trends, identifying key environment factors, and dealing with noisy signals under uncertainties.. Full details
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