# AC BO Hackathon

**URL:** <https://accelerated-discovery.org/t/ac-bo-hackathon/31>\
**Category:** Ecosystem\
**Tags:** bo-hackathon\
**Created:** [March 18, 2024, 1:48pm UTC](https://accelerated-discovery.org/t/ac-bo-hackathon/31 "2024-03-18T13:48:58Z")\
**Posts on this page:** 5\
**Page:** 1

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**Author:** ![sgbaird](https://yyz1.discourse-cdn.com/flex003/user_avatar/accelerated-discovery.org/sgbaird/32/341_2.png) [@sgbaird](https://accelerated-discovery.org/u/sgbaird)\
**Post date:** [March 18, 2024, 1:48pm UTC](https://accelerated-discovery.org/t/ac-bo-hackathon/31/1 "2024-03-18T13:48:58Z")

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Scientists from the Acceleration Consortium @ University of Toronto and Merck KGaA are hosting a 2-day virtual hackathon (March 27 & 28: 9am-1pm ET) for researchers to work collaboratively in teams on projects related to Bayesian optimization for chemistry and materials. 👉 See **[https://ac-bo-hackathon.github.io/](https://ac-bo-hackathon.github.io/)** for more info.

While this site serves the broader Acceleration Consortium community at large, the #bo-hackathon label within the #Tools category serves as a more persistent and public-facing discourse than the real-time focused [Slack channel](https://ac-bo-hackathon.github.io/agenda/) and [Gather.Town](https://app.gather.town/events/aWWEyxSfRJGgvVwT3rSA) communication platforms attached to the hackathon.

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**Author:** ![sgbaird](https://yyz1.discourse-cdn.com/flex003/user_avatar/accelerated-discovery.org/sgbaird/32/341_2.png) [@sgbaird](https://accelerated-discovery.org/u/sgbaird)\
**Post date:** [March 18, 2024, 1:53pm UTC](https://accelerated-discovery.org/t/ac-bo-hackathon/31/2 "2024-03-18T13:53:59Z")

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Made this a banner on March 18, 2024, 1:53pm UTC. It will appear at the top of every page until it is dismissed by the user.



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**Author:** ![sgbaird](https://yyz1.discourse-cdn.com/flex003/user_avatar/accelerated-discovery.org/sgbaird/32/341_2.png) [@sgbaird](https://accelerated-discovery.org/u/sgbaird)\
**Post date:** [May 6, 2024, 6:18pm UTC](https://accelerated-discovery.org/t/ac-bo-hackathon/31/3 "2024-05-06T18:18:34Z")

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Removed this banner on May 6, 2024, 6:18pm UTC. It will no longer appear at the top of every page.



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**Author:** ![stanlo229](https://avatars.discourse-cdn.com/v4/letter/s/5fc32e/32.png) [@stanlo229](https://accelerated-discovery.org/u/stanlo229)\
**Post date:** [May 15, 2024, 6:30pm UTC](https://accelerated-discovery.org/t/ac-bo-hackathon/31/4 "2024-05-15T18:30:15Z")

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Thanks Sterling for organizing this amazing event! I had a blast participating. My favourite part was the GatherTown posters where we could interact with people around the world to tell them all the things we learned about Bayesian optimization over the last two days!

P.S. We got the opportunity to take this project to the next level and we’re planning to submit to NeuRIPS 2024! _fingers crossed_

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**Author:** ![sgbaird](https://yyz1.discourse-cdn.com/flex003/user_avatar/accelerated-discovery.org/sgbaird/32/341_2.png) [@sgbaird](https://accelerated-discovery.org/u/sgbaird)\
**Post date:** [May 15, 2024, 6:43pm UTC](https://accelerated-discovery.org/t/ac-bo-hackathon/31/5 "2024-05-15T18:43:50Z")

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Amazing! Thanks for the feedback, and I’m glad you were there to participate. I’m excited to hear about the next steps to your project!

For anyone that happens upon this, Stanley’s project is:

> **[RBBO - rank-based Bayesian optimization](https://ac-bo-hackathon.github.io/projects/project-44-rank-bo/)**
>
> Applying the use of ranking models for Bayesian optimization discovery of materials based libraries. Ranking models use a form of metric learning that aims to sort inputs rather than directly predicting a regressive label. This changes the structure...

Btw, hoping to make some progress on the hackathon manuscript soon!
