随着数据挖掘的研究和应用不断扩展到医学、金融、安全等各个领域，人们清楚地感受到对多样化人才的需求。随着大数据在联邦、私人和学术领域的推广，在国内和国际上提供了大量的机会，这种情况尤为明显。BPDM讲习班是7年多以前创建的，目的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导师、进行指导和联系，同时也丰富一群有才华的学生的技术能力，为他们提供接触的机会。迄今为止，它已经影响了超过330名数据科学领域的学员的人生。我们提供一个场所，将有才华的学生与各行业，学术界，专业协会，政府的创新研究人员联系起来。我们的任务是促进BPDM参与者之间有意义的，持久的联系，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，我们报告了在2019年BPDM采取的指导策略，以及这些是如何被接受的。
原文题目：The Data Science Fire Next Time: Innovative strategies for mentoring in data science
原文：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.
原文作者：Heriberto Acosta-Maestre
原文地址：https://arxiv.org/abs/2003.07681
