diff --git a/events/2024-09_workshop/image.png b/events/2024-09_workshop/image.png new file mode 100644 index 00000000..16f45be7 Binary files /dev/null and b/events/2024-09_workshop/image.png differ diff --git a/events/2024-09_workshop/index.qmd b/events/2024-09_workshop/index.qmd new file mode 100644 index 00000000..bc67fe20 --- /dev/null +++ b/events/2024-09_workshop/index.qmd @@ -0,0 +1,55 @@ +--- +title: "Workshop at scverse conference 2024" +subtitle: Introduction to the Open Problems +description: | + [Workshop page](https://cfp.scverse.org/2024/talk/7ME8ED/){class="btn btn-primary"} +date: "2024-09-11" +start-date: "2024-09-11" +end-date: "2024-09-11" +title-block-banner-color: white +title-block-banner: ../../images/heros/competition_dark.jpg +page-layout: full +css: ../events.css +categories: + - competition +image: image.png +--- + +:::{layout="[[30,70]]"} +::::{.section-header} +## Abstract +:::: + +::::{.section-content} + +The "Benchmarking Open Problems in Single Cell Analysis" workshop aims to address critical challenges in the field by fostering community engagement in the development of robust benchmarks. This 90-minute session will introduce participants to the core mission of the Open Problems in Single-Cell Analysis, followed by an interactive session where we will build a new benchmark from scratch. As part of this tutorial, participants not only learn about the technical aspects of setting up a benchmark within the Open Problems framework, but will also learn about essential best practices in benchmarking computational methods. + +:::: +::: + + +:::{layout="[[30,70]]"} +::::{.section-header} +## Content +:::: + +::::{.section-content} + +The workshop will commence with a 20-minute introduction, outlining the goals and importance of the Open Problems initiative in single-cell analysis. This segment will focus on the role of benchmarking in improving reproducibility and reliability in computational methods. + +Following the introduction, the 70-minute interactive session will guide participants through the process of designing and developing a benchmark. + +* Problem identification +* Experimental design +* Dataset selection and processing +* Metric selection and implementation +* Implement methods +* Implement control methods +* Essential best practices for benchmarking computational methods + +By the end of the workshop, participants will have practical experience in creating benchmarks and an understanding of best practices that can be applied to their research projects. + +For more information, please visit the [conference website](https://cfp.scverse.org/2024/talk/7ME8ED/). + +:::: +:::