Workshop on Automated Learning and Discovery

该奖项为围绕基于数据的自动化学习和决策的八个研讨会提供部分支持。会议于1998年6月11日至13日在卡内基梅隆大学举行。它涵盖了统计学，计算机科学，人工智能，数据库，社会科学和语言技术交叉的科学研究。这次会议的目的是在这些学科之间开展对话。通过这样做，它试图实现两种类型的影响。首先，它的目的是在以前分离的领域之间产生协同作用，从而导致新的跨学科研究合作和新的统一研究方法。其次，它试图通过描述最先进的技术，指出可能的重叠，使人们了解其他领域的研究成果，并确定一些最有前途的跨学科研究方向，为科学界提供指导。这次会议的成果之一将是一份书面报告，该报告将通过张贴在网络上并提交给广泛访问的杂志或期刊，提供给NSF和整个科学界。

This award provides partial support for a cluster of eight workshops centered around automated learning and decision making based on data. The meeting is held at Carnegie Mellon University on June 11-13, 1998. It covers scientific research at the intersection of statistics, computer science, artificial intelligence, databases, social sciences and language technologies. The aim of this meeting is to initiate a dialogue between these disciplines. By doing do, it seeks to attain two types of impacts. First, it aims to generate synergy between previously separated fields, to lead to new, cross-disciplinary research collaborations and new, unified research approaches. Second, it attempts to provide guidance to the scientific community by characterizing the state-of-the-art, pointing out possible overlaps, making people aware of research results in other fields, and identifying some of the most promising cross-disciplinary research directions. One of the results of this meeting will be a written report, which will be made available to NSF and the scientific community at large, by posting it on the Web, and by submitting it to a widely accessible magazine or journal.