MAPPING AND END USER INTERFACE FOR TOPIC MODELS OF NIH GRANTS

2007年秋季，NINDS启动了对资助赠款的审查，作为总体战略规划工作的一部分。NINDS咨询委员会的一名成员指导该研究所使用一种基于网络的技术来分析神经科学学会(http://scimaps.org/maps/neurovis/new/).)14,000份年度会议摘要该技术使用一种称为潜在狄利克雷分配的公开可用的主题建模算法来确定单个SFN摘要的主题分布，并使用一种称为VxINSITE的模拟退火法图形布局算法(后来并入DRL-SAND2008-2936J：Sandia国家实验室)来将摘要之间的主题关系映射到Google Maps应用程序界面，在该界面中，用户可以从二维颜色编码地图中选择摘要集，并通过底层数据库访问关于这些摘要的主题信息。开发这一框架的团队，南加州大学(USC)的Gully Burns、加州大学欧文分校(UCI)的David Newman和印第安纳大学(IU)的Bruce Herr同意将其应用于NIH的一组拨款，以测试其对NIH工作人员和校外科学家的潜在效用。随后，该项目扩大到对整个2007年的国家卫生研究院赠款进行建模和绘制地图，并生成一个彩色编码地图和主题数据库。这项工作的结果可以在http://scimaps.org/maps/ninds/和http://scimaps.org/maps/nih/2007/.上查看在即将到来的项目期间，研究所已利用马萨诸塞大学信息提取和合成实验室(IESL)的服务，对国家卫生研究院的赠款进行专题建模。基本拨款数据加上主题模型分析的结果将被传输到ChalkLabs，ChalkLabs将把它集成到一个界面中，用于主题模型浏览和使用DRL算法进行映射。

In the fall of 2007, NINDS initiated a review of funded grants as part of a general strategic planning effort. The Institute was directed by a member of the NINDS advisory council to a web-based technique for analyzing the ~14,000 Annual Meeting abstracts of the Society for Neuroscience (http://scimaps.org/maps/neurovis/new/). This technique used a publically available topic modeling algorithm known as Latent Dirichlet Allocation to determine the topic distribution of individual SfN abstracts, and used a simulated annealing graphical layout algorithm known as VxINSITE (later incorporated into DrL - SAND2008-2936J: Sandia National Laboratories) to map the topical relationships between abstracts into a Google Maps application interface, in which users can select sets of abstracts from a two-dimensional color-coded map and access topical information regarding these abstracts via an underlying database. The team that developed this framework, Gully Burns at University of Southern California (USC), David Newman at University of California Irvine (UCI), and Bruce Herr at Indiana University (IU), agreed to apply it to a set of NIH grants in order to test its potential utility for NIH staff and extramural scientists. Subsequently the project was expanded to model and map the entire 2007 set of NIH grants, with a resulting color-coded map and topic database. The results of this work can be viewed at http://scimaps.org/maps/ninds/ and http://scimaps.org/maps/nih/2007/. For the upcoming project period, the Institute has enlisted the services of the Information Extraction and Synthesis Laboratory (IESL) at the University of Massachusetts to perform topic modeling of NIH grants. The basic grants data plus the results of the topic model analysis will be transferred to Chalklabs, which will integrate it into an interface for Topic Model Browsing and for mapping using the DrL algorithm.