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BO Hackathon for Chemistry and Materials |
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{% if site.registration_status == "soon" or site.registration_status == "open" or site.registration_status == "demo" %}
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Applications open for participants
{% if site.registration_status == 'open' %} Register now {% elsif site.registration_status == 'closed' %} Registration has closed {% elsif site.registration_status == 'soon' %} Registration opens soon {% endif %}
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<dt>{{ site.registration_closes_date }}</dt>
<dd>Applications close</dd>
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<dd>Hackathon date</dd>
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With the emergence of new Bayesian optimization tools applied or geared towards the physical sciences, it is important to understand their strengths and weaknesses relative to the state of the art. In this hackathon, we will put these tools to the test! Scientists from the Acceleration Consortium @ University of Toronto are hosting a 2-day hackathon on {{ site.event_date }}, open to researchers, to select or develop Bayesian optimization algorithms and apply them to benchmarking tasks. After the hackathon, results will be collated and presented in a scholarly article (see co-authorship criteria below). Come join us to explore, collaborate, innovate, and contribute to the advancement of Bayesian optimization for the physical sciences.
Researchers can sign up to [topics ranging from]({{ site.baseurl }}{% link projects.md %}) application of algorithms to development of new benchmark tasks, and creating instructional tutorials. [This opportunity]({{ site.baseurl }}{% link registration.md %}) is open to researchers at all levels who are interested in applying Bayesian optimization[(?)][faq]{:title="Are algorithms other than Bayesian optimization allowed?"} for accelerated discovery in chemistry and materials science. At minimum, we recommend beginner-to-intermediate Python programming experience and basic familiarity with git and GitHub.[(?)][faq]{:title="What are the recommended prerequisites for participation?"}.
The event will take place virtually, using a combination of video conferencing (Zoom) for meetings and seminars, and discussion forums (Slack, Discord) for ongoing comms.
By the end of the event, we hope you will have formed new connections, learned new skills, and contributed to the application and development of algorithms, benchmarks, and tutorials. We will also be working towards a scholarly article, and we hope you will be able to contribute to this effort.
[faq]: {{ site.baseurl }}{% link faq.md %}
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The Acceleration Consortium and Merck KGaA hosted a 2-day hackathon on {{ site.event_date }}, open to researchers, to put Bayesian optimization tools to the test!
Researchers could sign up to [topics ranging from]({{ site.baseurl }}{% link projects.md %}) ... to ..., and more. Teams were be led by senior academics from a range of disciplines at the University of Bristol, but participating researchers could be from any UK academic institution.
The event took place virtually, using a combination of video conferencing (Zoom) for meetings and seminars, and discussion forums (Slack) for ongoing comms. Data holding and analysis took place on...
{% endif %}