IGERT: Big Data Social Science - An Integrative Education and Research Program in Social Data Analytics

这一综合性研究生教育与研究培训(IGERT)奖项汇集了不同学科的研究人员团队，创建了一个新的社会数据分析培训计划，旨在培养能够应对新出现的大数据挑战的新型科学家。智力优势：为了应对海量的新数据来源，“数据科学”和“分析”作为查询、合并统计学、计算机科学和可视化的新领域正在出现。最大的挑战和机遇来自社会产生的大数据，这些数据是通过网络、移动设备和分布式传感器越来越多地记录或通过历史记录的数字化显示的人类交互的结果。社会面临着变革性的数据洪流，从中可以提取新的科学、经济和社会价值。BDSS-IGERT项目包括新课程、数据科学和分析高级技术培训、一系列研究轮换？在学术和非学术环境中？以及挑战机制，在这种机制下，跨学科团队相互竞争，为真实的社交数据分析问题提供创新的解决方案。更广泛的影响：最近的一份报告估计，大数据每年包含超过1万亿美元的未开发经济价值，但仍有16.5万个“深度分析”职位需要填补。政府统计机构需要以较低的成本生产有用的统计产品，同时保护机密性。像危机地图这样的大数据技术为应对重大社会挑战提供了机会。此外，BDSS-IGERT项目通过将一个令人兴奋的新领域与关注多样性作为研究主题相结合，扩大了未被充分代表的群体对数据科学的参与。IGERT是一个NSF范围内的项目，旨在应对培养具有跨学科背景、所选学科的深厚知识以及满足未来职业需求所需的技术、专业和个人技能的美国博士科学家和工程师的挑战。该项目旨在建立新的研究生教育和培训模式，为超越传统学科界限的合作研究创造一个肥沃的环境，并让学生了解将研究转化为创新以造福社会的过程。

This Integrative Graduate Education and Research Traineeship (IGERT) award draws together a diverse interdisciplinary team of researchers to create a new training program in Social Data Analytics, aimed at producing a new type of scientist capable of meeting emerging big data challenges. Intellectual Merit: In response to massive new sources of data, "data science" and "analytics" are emerging as new fields of inquiry, merging statistics, computer science, and visualization. The greatest challenges and opportunities arise from socially-generated big data, observed as a result of human interactions that are increasingly recorded via web, mobile device, and distributed sensors, or revealed through digitization of historical records. Society faces a transformative data deluge, from which new scientific, economic, and social value can be extracted. The BDSS-IGERT project includes a new curriculum, training in advanced technologies of data science and analytics, a series of research rotations ? in both academic and nonacademic settings ? and a challenge mechanism, under which interdisciplinary teams compete to innovate solutions to real social data analytics problems. Broader Impacts: A recent report estimated that big data contain unexploited economic value over $1 trillion annually, but that 165,000 positions in "deep analytics" will need to be filled. Government statistics agencies need to produce useful statistical products, at lower cost, while protecting confidentiality. Big data technologies like crisis mapping present opportunities to address grand social challenges. Further, the BDSS-IGERT project expands the participation of underrepresented groups in data science, by combining an exciting new field with a focus on diversity as a research theme. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to establish new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries, and to engage students in understanding the processes by which research is translated to innovations for societal benefit.