II-NEW: Infrastructure for Change: From a Teaching Department to National Prominence

在过去的几年里，乔治城大学一直支持其科学系的发展政策。这个项目通过建立一个多方面的研究项目来探索处理大量文本数据的新技术，从而支持乔治城大学的发展目标。该项目研究了如何将新的和现有的文本处理方法应用于计算机科学中不同学科的各种开放问题。研究活动包括大规模文档集合的文本挖掘；检测恶意可执行文件的机器学习技术；执行主动数字取证调查的信息检索方法；防止在ip加密语音（VoIP）通信中侵犯隐私的文本处理方法；以及用于大量政治学文本自动内容分析的数据挖掘和情感检测方法。为了支持这些目标，该项目包括为大规模文本处理创建下一代基础设施。数据密集型任务将使用互联的前端系统，通过高速网络连接到可扩展的后端存储解决方案。该基础设施支持在非常大的语料库上开发和测试新的文本处理算法。该项目的文本处理和信息保障主题已被纳入乔治城大学的本科和研究生课程。更广泛地说，该项目通过提高以下能力使社会受益：(1)处理大量信息，(2)识别恶意应用程序，以及(3)提高数字通信网络对窃听攻击的弹性。这些项目通过大学的高中生暑期项目和多元文化平等与接触中心扩大了对研究的参与。

Over the last several years, Georgetown University has espoused apolicy of growth for its science departments. This project supportsGeorgetown University's growth goals by positing a multifacetedresearch program that explores new techniques for processing largecollections of text data.The project examines how both new and existing text processing methodsmay be applied to a variety of open problems across differentdisciplines within computer science. Research activities include textmining for large-scale document collections; machine learningtechniques for detecting malicious executables; information retrievalmethods for performing proactive digital forensic investigations; textprocessing approaches for preventing privacy breaches in encryptedvoice-over-IP (VoIP) communication; and data mining and sentimentdetection methods for automated content analysis of large quantitiesof political science texts.To support these goals, the project includes the creation of anext-generation infrastructure for large-scale text processing.Data-intensive tasks will use interconnected front-end systems,connected via high-speed networking to scalable back-end storagesolutions. The infrastructure supports the development and testing ofnovel text processing algorithms on very large corpora.The project's themes of text processing and information assurance havebeen integrated into the undergraduate and graduate curricula atGeorgetown University. More broadly, the project benefits society byimproving the ability to (1) process large quantities of information,(2) identify malicious applications, and (3) improve the resiliency ofdigital communication networks to eavesdropping attacks. The projectbroadens the participation in research through the University's SummerPrograms for High School Students and the Center for MulticulturalEquity and Access.