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X-WR-CALNAME:AI 4 Scientific Discovery
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DTSTART;TZID=Europe/London:20190912T093000
DTEND;TZID=Europe/London:20190913T170000
DTSTAMP:20260506T221801
CREATED:20200908T141337Z
LAST-MODIFIED:20201112T122538Z
UID:780-1568280600-1568394000@www.ai4science.network
SUMMARY:12-13/09/2019 - AI3SD Machine Learning for Chemistry Training Workshop & Hackathon - Wide Lane Southampton
DESCRIPTION:\n\n\n\n**This event has now passed\, click here for event coverage** \n\n\n\n\nEventbrite Link: https://www.eventbrite.co.uk/e/ai3sd-machine-learning-for-chemistry-training-workshop-hackathon-tickets-65426429211 \nDataset and Challenges Link: https://docs.google.com/document/d/1Luz0t9QCWHyF9qdycbWvk6ULd9RD_7t8/edit \nThis training workshop and hackathon is intended to help upskill scientists in AI and Machine Learning techniques for Chemistry and provide some challenges to test out their new skills. This event will run over two days with lunch and dinner provided on day 1 and lunch provided on day 2. Day 1 will begin with some training courses to add to or refresh your knowledge\, followed by creating your teams and choosing which challenge you wish to address! There will be mentors on hand to provide advice during the hacking\, and there will be pizza provided and the use of the wide lane facilities until 8pm. On day 2\, the morning will be spent hacking and after lunch the groups will come together to present their work! \nTraining Sessions & Talks \n\nData Science Awareness Session – Steve Brewer. This training session will provide a general overview of what a data scientist is\, from the perspective of working on the EDISON Project.\nProgressing from basic to advanced Machine Learning – Professor Mahesan Niranjan. This training session will introduce some more advanced machine learning methods and demonstrate how to implement them on top of or instead of your basic ML techniques.\nDataset Training – The different datasets will be introduced including details on what they contain and the apis required to access them.\n\nChallenges & Datasets \n1. Solubility Challenge – Dr Nicola Knight \n\nhttps://pubs.acs.org/doi/10.1021/acs.jcim.9b00345\nhttps://www.pub.iapchem.org/ojs/index.php/admet/article/view/686\n\n2. Physical Science Data Science Service and ChEMBL Mashup Challenges – Professor Simon Coles & Dr Tim Rozday \n\nhttps://www.psds.ac.uk\nhttps://www.ebi.ac.uk/chembl/\n\n3. Chemical Safety Challenge – Dr Nick Lynch \n\nhttps://www.pistoiaalliance.org/projects/chemical-safety-library/\n\n4. Or Bring your own Challenge! If you have an idea for the next funding application and want to try it out in a hackathon style environment then feel free to bring your own challenge. \nAdditional Potential useful Datasets \n\nChemSpider: http://www.chemspider.com\nPubChem: https://pubchem.ncbi.nlm.nih.gov\nQuantum/DTF Dataset: https://www.nature.com/articles/sdata201422\nQuantum/DTF Dataset: http://quantum-machine.org/datasets/\nBenchmarks: https://pubs.rsc.org/en/content/articlehtml/2018/sc/c7sc02664a\n\nAdditional Resources \n\nFair Sharing: https://fairsharing.org/\nBioPortal: https://bioportal.bioontology.org/ontologies\n\nProgramme \nDay 1 \n\n09:30-10:00: Coffee & Registration\n10:00-10:15: Welcome Introduction – Professor Jeremy Frey\n10:15-11:00: Data Science Awareness Session – Steve Brewer\n11:00-11:45: Progressing from Basic to Advanced Machine Learning – Professor Mahesan Niranjan\n11:45-12:30: Access to Datasets + Introduction of Challenges\n12:30-13:30: Lunch & Team Formation\n13:30-15:00: Hacking\n15:00-15:15: Coffee Break\n15:15-16:30: Hacking\n16:30-17:00: Coffee Break\n17:00-20:00: Hacking (Pizza and refreshments will be provided at 18:30)\n\nDay 2 \n\n09:00-09:30: Coffee\n09:30-11:00: Hacking\n11:00-11:15: Coffee\n11:15-12:30: Hacking\n12:30-13:30: Lunch\n13:30-14:15: Hacking\n14:15-15:15: Finalise Work & Prepare Presentations\n15:15-15:30: Coffee\n15:30-16:30: Presentations & Feedback\n16:30-17:00: Wrap Up / Summary Feedback & Prizes\n\nTravelling to the Event \n\nBy Bus: The U1A Bus will take you directly to Southampton Airport Parkway which is just across the road from the Wide Lane Sports Grounds\nBy Train: Southampton Airport Parkway is just across the road from the Wide Lane Sports Ground\, or if your train can only arrive at Southampton Central or St Denys then you can get the U1A bus from either of these stations to Airport Parkway\nBy Car: The postcode for the Wide Lane Sports Ground is SO50 5PE and there will be parking available for delegates. Upon arrival please inform the staff manning the barriers that you are part of this event and they will let you through.\nBy Plane: Southampton Airport is just across the road from the Wide Lane Sports Ground.\nAccommodation\n\nAccomodation\nIf you do not live locally and need somewhere to stay we recommend the Premier Inn by Southampton Airport. \nFAQs \n\nWho should attend? Anyone with an interest in any of the training\, challenges or interested in tackling their own challenge in a hackathon style environment. We welcome members of academia or industry working in or with an interest in any of the science\, mathematics or machine learning techniques required for these challenges. Feel free to come as a team\, or come by yourself and we will find you a team to work with.\nWhat will I get out of it? You will gain useful skills from the training sources\, hear about a range of interesting useful data sources and challenges\, and have the opportunity to take part in a hackathon in a supportive team environment with mentors and helpers. You will have the opportunity to work with other likeminded people from different academic and industrial backgrounds. There will be lunch and dinner provided on day 1\, and lunch on day 2\, with multiple coffee breaks throughout the day.\nWhat are the aims of the training session / hackathon? The aims of this session are to skill you up on data science and machine learning techniques and given you the opportunity to try these new skills out during the hackathon.\n\n
URL:https://www.ai4science.network/ai3sd-event/12-13-09-2019-ai3sd-machine-learning-for-chemistry-training-workshop-hackathon-wide-lane-southampton/
LOCATION:Wide Lane Sports Ground (University of Southampton)\, Southampton Sports Ground\, Wide Lane\, Eastleigh\, SO50 5PE\, United Kingdom
CATEGORIES:Hackathon,Workshop
ORGANIZER;CN="AI3SD":MAILTO:info@ai3sd.org
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