數據科學的下一次火爆：數據科學指導的創新策略（CS CY)

• 2020 年 3 月 26 日
• 筆記

隨著數據挖掘的研究和應用不斷擴展到醫學、金融、安全等各個領域，人們清楚地感受到對多樣化人才的需求。隨著大數據在聯邦、私人和學術領域的推廣，在中國和國際上提供了大量的機會，這種情況尤為明顯。BPDM講習班是7年多以前創建的，目的是為數據科學和機器學習社區中的少數群體和代表性不足的群體培養導師、進行指導和聯繫，同時也豐富一群有才華的學生的技術能力，為他們提供接觸的機會。迄今為止，它已經影響了超過330名數據科學領域的學員的人生。我們提供一個場所，將有才華的學生與各行業，學術界，專業協會，政府的創新研究人員聯繫起來。我們的任務是促進BPDM參與者之間有意義的，持久的聯繫，最終增加數據挖掘的多樣性。 最近的一次研討會於2019年2月在華盛頓特區的霍華德大學舉行。 在這裡，我們報告了在2019年BPDM採取的指導策略，以及這些是如何被接受的。

原文題目：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