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

IGERT：大数据社会科学 - 社会数据分析的综合教育和研究项目

• 批准号: 1144860
• 负责人: Burt Monroe
• 金额: $ 299.97万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1144860&HistoricalAwards=false
• 关键词: IGERT; Big; Data; Social; Science

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.

这个综合研究生教育和研究培训（IGERT）奖汇集了一个多元化的跨学科研究人员团队，以创建一个新的社会数据分析培训计划，旨在培养一个能够应对新兴大数据挑战的新型科学家。智力优势：为了应对大量新数据源，“数据科学”和“分析”正在成为新的研究领域，融合了统计学、计算机科学和可视化。最大的挑战和机遇来自于社会产生的大数据，这些大数据是人类互动的结果，越来越多地通过网络、移动终端和分布式传感器记录，或者通过历史记录的数字化来揭示。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项目包括一个新的课程，在数据科学和分析的先进技术的培训，一系列的研究轮换？在学术和非学术的环境中？以及一个挑战机制，在这个机制下，跨学科团队竞争创新解决方案，以解决真实的社会数据分析问题。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，但需要填补165，000个“深度分析”职位。政府统计机构需要以较低的成本制作有用的统计产品，同时保护机密性。危机地图等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，扩大了数据科学中代表性不足的群体的参与。IGERT是一个NSF范围内的计划，旨在满足教育美国博士的挑战。具有跨学科背景的科学家和工程师，在所选学科的深厚知识，以及未来职业需求所需的技术，专业和个人技能。该计划旨在为研究生教育和培训建立新的模式，为超越传统学科界限的合作研究创造肥沃的环境，并让学生了解研究转化为创新以造福社会的过程。