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September 2018

BioMedEng18 Conference

September 6 - September 7
Imperial College London London, SW7 2AZ United Kingdom + Google Map

The UK's largest gathering of Biomedical Engineers, Medical Engineers & Bioengineers, hosted by the Department of Bioengineering at Imperial College.

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Materials and Molecular Modelling Hub Conference 2018

September 5 @ 1:30 pm - September 7 @ 12:30 pm
ucl, UCL, Gower St.
London,
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An exciting annual event for the materials and molecular modelling HPC community. Providing a platform for the world-class science taking place at this specialist HPC centre.

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SES Open: Harnessing FAIR Data

September 3 @ 1:00 pm - 5:00 pm
Queen Mary University of London
Free

Harnessing FAIR Data focuses on researchers who employ or are seeking to use data in their work. FAIR is a set of guiding principles to make data Findable, Accessible, Interoperable, and Reusable.

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July 2018

Why missing data matter

July 25 @ 4:00 pm - 5:00 pm
King’s College London

This seminar will explore the extent and risk of bias posed by missing data in palliative care trials, the factors associated with incomplete data, and discuss recommendations for future trials.

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Modelling respiratory disease and cancer using human cells

July 16 @ 12:00 pm - 1:00 pm
Imperial College London London, SW7 2AZ United Kingdom + Google Map

Speaker: Dr Rob Hynds, UCL Cancer Institute and The Francis Crick Institute

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June 2018

UK Catalysis Hub Summer Conference 2018

June 19 - June 20

On the 19th and 20th of June 2018 the UK Catalysis Hub will host its annual summer conference and network meeting at De Vere Oxford Thames, Henley Road, Oxford OX4 4GX.

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Gender Summit 15 (EU 2018)

June 18 - June 19

The 2018 Gender Summit in London is 15th in the series and the first for London. Like previous events it is led by influential science institutions, with the Science and Engineering South Consortium of leading universities as the principal partner.

GS15 builds on past discussions and recommendations and tackles fresh gender issues, in the context of new concerns such as: Brexit, impact of climate change, addressing societal challenges; opportunities and consequences of digital transformation, the 4th Industrial Revolution; strengthening societal responsibility and relevance of research and innovation; ensuring the success of the UN Sustainable Development agenda; and managing the interactions between scientific, political and policy agendas in a rapidly changing world.

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Data Mining: Exploring the Ethical Dilemmas

June 14 @ 9:30 am - 4:00 pm
The University of Southampton SO17 1BJ United Kingdom + Google Map
Free

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May 2018

Innovation by evolution: bringing new chemistry to life

May 21 @ 2:00 pm - 3:00 pm
Imperial College London London, SW7 2AZ United Kingdom + Google Map
Free

Institute for Molecular Science and Engineering (IMSE) Highlight Seminar by Professor Frances Arnold (Caltech), Professor of Chemical Engineering, Bioenginnering and Biochemistry Click here to register. Abstract Not satisfied with nature’s vast enzyme repertoire, we want to create new ones and expand the space of genetically encoded enzyme functions. I will describe how we can use the most powerful biological design process and evolution, to optimize existing enzymes and invent new ones, thereby circumventing our profound ignorance of how sequence encodes function. By mimicking nature’s evolutionary tricks and using a little chemical intuition, we can generate whole new enzyme families that catalyze…

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DSI Privacy Debate – Do we still need privacy in the age of AI?

May 3 @ 5:30 pm - 6:30 pm
Imperial College London London, SW7 2AZ United Kingdom + Google Map
Free

Everyone of us is leaving more data behind than ever before: places we're going to, websites we visit, payments we make, and drugs we buy. On the one hand, the collection and storage of this data raises privacy concerns throughout the world, with some claiming that it poses serious threats to our basic human rights as individuals and as a society. On the other hand, this data has fuelled the fantastic advances we have seen in AI in the past 5 years, carrying significant potential benefits for our health, our security, and the progress of science. Is privacy a legacy of the past or something we need today more than ever? Is the GDPR an obstacle to European research in AI or a necessary enforcer of trust for the sustainable development of AI? Do the benefits of AI outweigh the privacy risks or does a third way exist?

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