19/11/2020 – Failed it to Nailed it! How to get data sharing right! – Responsible Data Management: Legal & Ethical Aspects

This event was the third of the `Failed it to Nailed it' online data seminar series. The event was hosted online through a zoom conference. The event ran for approximately…

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19/11/2020 – Failed it to Nailed it! How to get data sharing right! – Responsible Data Management: Legal & Ethical Aspects

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This event is the third of four events in our 'Failed it to Nailed it - Getting Data Sharing Right' series. In this event we aim to provide information and advice on different areas of data governance and legislation. The event includes talks on different aspects of this including the ethical dimensions of research data management and different types of legislation with respect to personal and non personal data. We will also be including an interactive breakout session using a set of Moral IT cards developed by researchers at the University of Nottingham: https://lachlansresearch.com/the-moral-it-legal-it-decks/

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05/11/2020 – Failed it to Nailed it! How to get data sharing right! – Data Standards and Guidelines

This event was the second of the `Failed it to Nailed it' online data seminar series. The event was hosted online through a zoom conference. The event ran for approximately…

Continue Reading 05/11/2020 – Failed it to Nailed it! How to get data sharing right! – Data Standards and Guidelines

05/11/2020 – Failed it to Nailed it! How to get data sharing right! – Data Standards and Guidelines

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This event is the second of four events in our 'Failed it to Nailed it - Getting Data Sharing Right' series. This event aims to provide best practice advice on different types of data standards, including metadata, open data and linked data. There will be three talks by experts in these areas, followed by a discussion panel on data standards.

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22/10/2020 – Failed it to Nailed it! How to get data sharing right! – Dealing with Data: Tips & Tricks

This event was the first of the `Failed it to Nailed it' online data seminar series. The event was hosted online through a zoom conference. The event ran for approximately…

Continue Reading 22/10/2020 – Failed it to Nailed it! How to get data sharing right! – Dealing with Data: Tips & Tricks

22/10/2020 – Failed it to Nailed it! How to get data sharing right! – Dealing with Data: Tips & Tricks

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This event is the first of four events in our 'Failed it to Nailed it - Getting Data Sharing Right' series. This event aims to provide general advice on a range of aspects of research data management including handling and sharing data. We have two talks by experts in research data management and data wrangling. The event will also feature a panel comprised of Early Career Researchers who will each provide their top tips for handling data, and reflect on the lessons they have learned about data throughout their career so far.

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23/09/2020 – AI3SD Online Seminar Series: AI for Science: Transforming Scientific Research – Professor Tony Hey

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There is now broad recognition within the scientific community that the ongoing deluge of scientific data is fundamentally transforming academic research. Turing Award winner Jim Gray referred to this revolution as “The Fourth Paradigm: Data Intensive Scientific Discovery’. Researchers now need tools and technologies to manipulate, analyze, visualize, and manage vast amounts of research data. This talk will begin by reviewing the challenges posed by the explosive growth of experimental and observational data generated by large-scale facilities such as the Diamond Synchrotron and the CryoEM Facilities at the Rutherford Appleton Laboratory. Increasingly, scientists are beginning to use sophisticated machine learning and other AI technologies both to automate parts of the data pipeline and also to find new scientific discoveries in the deluge of experimental data. In particular, ‘Deep Learning’ neural networks have already transformed several areas of computer science and research scientists are now exploring their use in analyzing their ‘Big Scientific Data’. The talk concludes with a vision of how this ‘AI for Science’ agenda can be truly transformative for experimental scientific discovery.

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07/07/2020 – AI4Good @ WebSci20

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This year the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery) will be running a workshop at the WebSci20 Conference in Southampton, UK. Artificial and Augmented Intelligence systems have the potential to make a real difference in the scientific discovery domain however this brings a new wealth of ethical and societal implications to consider with regards to this research (e.g. human enhancement, algorithmic biases, risk of detriment). This workshop looks to explore the ethical and societal issues centered around using intelligent technologies (Artificial Intelligence, Augmented Intelligence, Machine Learning, and in general Semantic Web Knowledge Technologies) to further scientific discovery, with a strong consideration of data ethics and algorithmic accountability. Advances in technology and software are rarely inherently bad in themselves, however that unfortunately does not preclude them from being subverted to ill intent by others; furthermore, as demonstrated by the examples above, even an unintentional lack of care towards ethical codes and algorithmic accountability can lead to societal and ethical implications of scientific discovery. It is our responsibility as researchers to consider these issues in our research; are we conducting studies ethically? What ethical codes can we put in place for scientific discovery research to mitigate against ethical and societal issues. These are really important issues, and they require an interdisciplinary focus between scientists, social scientists and technical experts in order to be comprehensively addressed.

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9-11/03/2020 – AI3SD, Dial-a-Molecule & Directed Assembly: AI for Reaction Outcome and Synthetic Route Prediction – DeVere Tortworth Court Hotel, Gloucestershire

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This is a joint meeting between the Dial-a-Molecule, Directed Assembly and AI3SD (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery) Networks. The meeting will examine the state of the art and future opportunities in the use of Artificial Intelligence to predict the outcome of unknown chemical reactions, and consequently design optimum synthetic routes to desired molecules. A wide variety of AI approaches will be illustrated including expert systems, statistical methods, mechanism based and Machine Learning. The meeting will also consider: Data sourcing, sharing, and quality. Automated experimentation to generate reaction knowledge. Theoretical calculations to enrich or replace experimental data. The meeting will include talks to introduce the breadth of the area to all participants. Discussion sessions and opportunities to develop collaborations will be a key aspect of the meeting.

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