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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下次数据科学之火：指导数据科学的创新策略

随着数据挖掘研究和应用程序不断扩展到医学，金融，安全等各个领域，人们显然感到需要才华横溢的个人。尤其如此，因为大数据计划已在联邦，私营和学术领域开始兴起，为国家和国际提供了大量机会。扩大参与数据挖掘（BPDM）研讨会创建于7年前，其目标是在数据科学和机器学习社区中为少数族裔和代表性不足的群体提供指导，指导和联系，同时也为一群才华横溢的学生。迄今为止，它已经影响了330多名数据科学领域中代表性不足的学员的生活。我们提供了一个平台，将有才华的学生与行业，学术界，专业协会和政府中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，以最终增加数据挖掘的多样性。这次最新的研讨会于2019年2月在华盛顿特区的霍华德大学（Howard University）举行。在这里，我们报告了我们对2019 BPDM采取的指导策略以及如何获得这些指导策略。