Workshop Proposal: Machine Learning and Discovery Science

大数据的出现在科学和工程的许多领域都产生了变革-生物、健康科学、材料科学、物理等。这种转变的核心是统计机器学习，这是计算机科学的一个子领域，旨在研究和开发能够分析大量数据的算法。这个国际研讨会的目标是将来自美国和亚美尼亚的研究人员聚集在一起，他们致力于机器学习(ML)和其他有望从ML最新进展中受益的科学学科。研讨会将有多个学科的主要专家参加。在机器学习方面，工作坊将涵盖深度学习、张量方法、高维数据的无监督学习等主题。在计算社会科学中，主题将包括社会网络分析、行为建模、社会技术系统建模。在计算生物学中，主题将涵盖基因表达分析、计算神经科学、预测诊断学。研讨会将成为让这些社区相互交谈并探索合作研究的桥梁。研讨会将为与会研究人员提供一个论坛，以制定有助于利用数据密集型学科中最新最新进展的研究议程。第二，研讨会将支持高级研究生和早期职业科学家的参与。最后，研讨会将促进美国和亚美尼亚研究人员之间的科学合作。该奖项由国际科学与工程办公室共同资助。

The emergence of big data has been transformational in many areas in science and engineering - biology, health sciences, material science, physics, and so on. At the heart of this transformation is statistical machine learning, a subfield of computer science that aims at studying and developing algorithms that can analyze large volumes of data. The goal of this international workshop is to bring together researchers, both from USA and Armenia, who work on machine learning (ML) and other scientific disciplines that are poised to benefit from the recent advances in ML. The workshop will include participation from leading experts in a number of disciplines. In machine learning, the workshop will cover topics such as deep learning, tensor methods, unsupervised learning with high dimensional data, and so on. In computational social sciences, the topics will include social network analysis, behavioral modeling, modeling of socio-technical systems. And in computational biology, the topics will cover gene expression analysis, computational neuroscience, predictive diagnostics. The workshop will serve as a bridge to get these communities talking to one another and explore collaborative research. The workshop will provide a forum for the participating researchers to formulate a research agenda that will help to utilize recent advances in ML in data-intensive disciplines. Second, the workshop will support participation of senior graduate students and early career scientists. Finally, the workshop will promote scientific cooperation between the American and Armenian researchers.This award is cofunded by the Office of International Science and Engineering.