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 title: "Openscapes at Fred Hutch"
 toc: true
 ---
-We are proud to partner with [Openscapes](https://www.openscapes.org/) to bring the Openscapes Champions Cohort Program to Fred Hutch. Openscapes 
-Champions is a mentorship program originally developed for scientific research groups. Centered 
-around collaborative coding and open science, Openscapes meet scientists of many flavors where 
-they are and help develop skill sets, habits, and mindsets to make data 
-workflows and team culture more efficient and resilient. 
+
+We are proud to partner with [Openscapes](https://www.openscapes.org/) to bring the Openscapes Champions Cohort Program to Fred Hutch. 
+
+[Openscapes Champions](https://openscapes.github.io/series/program-summary) is a data science mentorship program designed for scientific research groups. The Champions program helps people reimagine data analysis & stewardship as a collaborative effort, develop modern skills that are of immediate value to the team, and cultivate collaborative and inclusive research communities.
+
+::: {.callout-important}
+We are currently accepting applications for the Spring 2025 Champions Cohort! See below for how to apply.
+:::
+
+Do you or your team...
+
+- Need to use new data science tools but don’t know where to start?
+- Work in isolation, but want to collaborate more often?
+- Want to make your science more reproducible?
+- Want to work alongside other teams to implement new practices for data analysis & stewardship.
+
+If yes, the Openscapes Champions may be a good fit!
+
+### How does it work?
 
 Openscapes Champions is a two-month program that is led remotely, with video 
 calls designed for active participation to ignite sustainable change within 
 data groups – within the realities of busy schedules and varying expertise 
-and needs. The Champions Program operates with cohorts of 3-5  groups, 
-with 2-5 individuals per group (24-35 people total per cohort). Importantly, 
- group leads (faculty, lecturers, program managers, etc.) and members 
-(students, analysts, lab managers, etc.) participate together so that:
+and needs. 
 
+The Champions Program operates with cohorts of 5 to 7 groups, 
+with 2 to 5 individuals per group (24-35 people total per cohort). Importantly, 
+group leads (faculty, lecturers, program managers, etc.) and members 
+(students, analysts, lab managers, etc.) participate together so that:
 
-1) everyone sees and values what is possible with open data science; 
-2) leads enable members to invest time to learn skills and develop shared workflows; 
-3) members have guidance, agency, and support to incorporate concepts into 
+1. everyone sees and values what is possible with open data science; 
+2. leads enable members to invest time to learn skills and develop shared workflows; 
+3. members have guidance, agency, and support to incorporate concepts into 
 their work; and 
-4) everyone becomes Champions for open data science, 
+4. everyone becomes Champions for open data science, 
 strengthening the community of practice within the research group and beyond.
 
+
+### Spring 2025 Champions Cohort 
+
+The spring 2025 Champions Cohort will run from **April 9th, 2025 to June 4th, 2025**. 
+
+There are five cohort meetings, when all groups will meet together:
+
+- April 9
+- April 23
+- May 7
+- May 21
+- June 4
+
+The cohort meeting time is: 10am to 11:30am PT
+
+In addition to the cohort meetings times, there will be 4 optional co-working times scheduled between the cohort meeting times.
+
+To apply, ...
+
 For more information email us at `data@fredhutch.org`.
+
+### Fall 2023 Champions Cohort
+
+The [fall 2023 Champions Cohort](https://openscapes.github.io/2023-fred-hutch/) included the the Berger Lab, Setty Lab, and Ha Lab. A recap of some of the work thse teams accomplished is on the [Openscapes blog](https://openscapes.org/blog/2023-12-04-fred-hutch/).
+
+::: columns
+::: {.column width="30%"}
+
+![](img/team/sitapriya-moorthi.jpg)
+:::
+
+::: {.column width="70%"}
+
+Openscapes was a fantastic introduction to what doing open science truly means. It provides practical skills on how to implement open science effectively and shows how collaborative coding  helps you conduct better, more impactful research.
+
+-- Sitapriya Moorthi, Staff Scientist, Berger Lab
+
+:::
+:::
+
+
+
+