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As data mining research and applications continue to expand in to a varietyof fields such as medicine, finance, security, etc., the need for talented anddiverse individuals is clearly felt. This is particularly the case as Big Datainitiatives have taken off in the federal, private and academic sectors,providing a wealth of opportunities, nationally and internationally. TheBroadening Participation in Data Mining (BPDM) workshop was created more than 7years ago with the goal of fostering mentorship, guidance, and connections forminority and underrepresented groups in the data science and machine learningcommunity, while also enriching technical aptitude and exposure for a group oftalented students. To date it has impacted the lives of more than 330underrepresented trainees in data science. We provide a venue to connecttalented students with innovative researchers in industry, academia,professional societies, and government. Our mission is to facilitatemeaningful, lasting relationships between BPDM participants to ultimatelyincrease diversity in data mining. This most recent workshop took place atHoward University in Washington, DC in February 2019. Here we report on thementoring strategies that we undertook at the 2019 BPDM and how those werereceived.

The Data Science Fire Next Time: Innovative strategies for mentoring in data science