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…
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.
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…
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.
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.
In November 2019 AI3SD held their first annual conference to mark the end of the first year of the Network. A full report on this event has been written by…
We are the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery). The network+ is funded by EPSRC and hosted by the University of Southampton and aims to bring together researchers looking to show how cutting edge artificial and augmented intelligence technologies can be used to push the boundaries of scientific discovery. We launched in December 2018, and this conference marks the end of our first year. This is a two day event with a mixture of keynote talks from experts in the different areas of AI for Scientific Discovery, and discussions around different research areas. There will be dedicated time for networking and we will be implementing a smart badge system whereby attendees can mark their badges according to whether they are looking for a collaborator, employment, job candidates, PhD students etc. We will report on the activities of AI3SD over the last year, including the workhops and hackathons we have run and attended, and there will be an opportunity to hear from the projects we funded in AI3SD-FundingCall1. On the evening of the 18th there will be drinks and networking in the Winchester Science Centre followed by a pre dinner talk by famous Science Communicator Steve Mould! This will be followed by a formal conference dinner at the Holiday Inn.
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…
This event is brought to you by the AI3SD (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery) and the IoFT (Internet of Food things) Networks. As food allergies and intolerances are on the rise, allergen detection and awareness is becoming more critical than ever at all stages of the food production pipeline; from cleaning the factories and kitchens the food is produced in, to detecting allergens in food, right through to creating allergen free food in the future. Unsurprisingly research has turned to technological solutions to combat this issue. This workshop is centered around the usage of Artificial Intelligence in Allergen Detection and Smart Cleaning within Food Production; research areas that co-align between both AI3SD & IoFT. The workshop will begin with some thought provoking talks to report on the current state of affairs, and consider where we need to be going in the future. There are five main working group topics identified for this workshop, and talks will be given on the different aspects that need to be considered with respect to allergen detection and smart cleaning before we break into the working groups for more formal discussions. There are multiple sessions for the working group discussions, and so there will be opportunities to take part in as many group discussions as you wish. The workshop will be formally recorded and the suggestions for going forward will be captured in a position paper. Lunch will be provided and the workshop will end with networking drinks.
On the 12th and 13th September 2019 AI3SD hosted a training workshop and hackathon, intended to help upskill scientists in Data Science, AI and Machine Learning techniques for Chemistry and…