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Data Science by Design (DSxD) is a community dedicated to developing a more open, ethical, and inclusive future for the field of data science. In this post, they reflect on lessons learned from organizing their virtual events.

Event Fund supports more inclusive and accessible events in data science in order to lower barriers to participation in science and facilitate new collaborative relationships. Part of supporting emerging data science leaders to run good data science events includes developing a knowledge base for what it takes to run outstanding and creative events. In this post – part of an ongoing series that focuses on the organizing processes, tools, and practices used to run successful Event Fund-sponsored Open Science events – we learn about Openscapes and how their Pathways to Open Science program developed. Through this blog series, Event Fund seeks to highlight the processes and practices that undergird more inclusive and accessible data science event programming.

Event Fund supports more inclusive and accessible events in data science in order to lower barriers to participation in science and facilitate new collaborative relationships. Part of supporting emerging data science leaders to run good data science events includes developing a knowledge base for what it takes to run outstanding and creative events. In this post–part of an ongoing series that focuses on the organizing processes, tools, and practices used to run successful Event Fund-sponsored Open Science events–we learn about LA-CoNGA Physics and how they used a hackathon format to engage with students to enlarge their networks. Through this blog series, Event Fund seeks to highlight the processes and practices that undergird more inclusive and accessible data science event programming.

Our 2022 Annual Report highlights the impact of our programs and collaborations