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

中文翻译：

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下一次数据科学之火：数据科学指导的创新策略

随着数据挖掘研究和应用不断扩展到医学、金融、安全等各个领域，显然需要有才华和多样化的个人。随着大数据计划在联邦、私营和学术部门的兴起，在国内和国际上提供了大量机会，情况尤其如此。扩大参与数据挖掘 (BPDM) 研讨会成立于 7 年前，其目标是为数据科学和机器学习社区中的少数群体和代表性不足的群体培养指导、指导和联系，同时也丰富了他们的技术能力和曝光率。一群才华横溢的学生。迄今为止，它已经影响了 330 多名数据科学领域代表性不足的学员的生活。我们提供了一个场所，将有才华的学生与工业、学术界、专业协会和政府的创新研究人员联系起来。我们的使命是促进 BPDM 参与者之间有意义的、持久的关系，最终增加数据挖掘的多样性。最近的一次研讨会于 2019 年 2 月在华盛顿特区的霍华德大学举行。在这里，我们报告了我们在 2019 年 BPDM 上采取的指导策略以及如何接受这些策略。