03/12/2020 – Failed it to Nailed it! How to get data sharing right! – Data Citations & Publishing

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This event is the last of our four online events in our current '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 publishing and data citations. There will be talks on data publishing, data citations and supporting information for publications. We will also be running an interactive panel session with all of the speakers for discussion around the different issues in these areas.

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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…

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

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…

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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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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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17/10/2019 – AI3SD & IoFT: AI for Allergen Detection and Smart Cleaning within Food Production

On the 17th October 2019 AI3SD, IoFT (The Internet of Food Things Network+) and members of the Food Water and Waste Research Group at the University of Nottingham teamed up to host…

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