HDR TRIPODS: Building the Foundation for a Data-Intensive Studies Center-

HDR TRIPODS：为数据密集型研究中心奠定基础-

基本信息

批准号：
1934553
负责人：
Lenore Cowen
金额：
$ 150万
依托单位：
Tufts University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934553&HistoricalAwards=false
关键词：
HDR TRIPODS Building Foundation Data

项目摘要

Tufts University is launching the T-TRIPODS institute, that will focus an interdisciplinary effort across multiple departments and campuses to advance the understanding of foundations of data science. The project seeks to support the first three years of the operation of the institute, and will support a culture of interdisciplinary research and learning in data sciences across multiple departments, fostering collaboration between mathematicians, computer scientists, and electrical engineers, as well as with scientists and scholars in a wide range of application domains. The model is built around overlapping three-year focused research topics, with an offset timeline, so that each year, the oldest research topic sunsets while a new research topic is added. For each focused research topic, the project will convene interdisciplinary teams of mathematicians, computer scientists, statisticians and electrical engineers to address timely questions and solve important problems on the frontiers of data science. Complementing and completing the research effort are teaching and curriculum development efforts for data science at the undergraduate, graduate and professional levels. Furthermore, the structure of T-TRIPODS will foster specific and deep connections with application domain experts in several areas, leading to translational research. T-TRIPODS is strongly committed to Data Science for All, and will partner closely with the Tufts Center for STEM Diversity to broaden participation in undergraduate research opportunities in data science at Tufts.T-TRIPODS will address three research thrusts. Research Focus I (Graphs and Tensor Representations of Data) in the first year, which will be joined by Focus II (Collecting, Modeling, and Learning from Data with a Spatial or Temporal Dimension) in the second year, and Focus III (Data Guarantees: Analysis of Data with Assurances of Quality, Transparency, Fairness, Privacy, and Trust) in year three, which will bring the institute up to full capacity with three research foci running simultaneously. All research foci will include cross-disciplinary training of graduate students; workshops that bring together experts and early career scientists from math, computer science, and electrical engineering; training modules in application-specific concerns around ethical safeguards for data usage and analysis; and an Ideas Lab activity to connect researchers from the core research topics to domain experts in four identified broad application areas: 1) Biological and Biomedical data, 2) Education and Cognitive Science, 3) Smart Cities, Development, and Design and 4) Computational Arts and Humanities (including Language and Music). T-TRIPODS will be integrated within Tufts' new Data Intensive Science Center (DISC) and will synergize with and enhance existing Tufts University degree programs in Data Science.This project is part of the National Science Foundation's Harnessing the Data Revolution (HDR) Big Idea activity.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

塔夫茨大学（Tufts University）正在启动T-Tripods Institute，该研究所将重点介绍多个部门和校园的跨学科工作，以促进对数据科学基础的理解。该项目旨在支持研究所运营的前三年，并将支持多个部门的数据科学的跨学科研究和学习文化，从而促进了数学家，计算机科学家和电气工程师之间的合作，以及与广泛应用程序域中的科学家和学者之间的合作。该模型建立在与三年以上的研究主题重叠的情况下建立的，该主题具有偏移时间表，因此每年是最古老的研究主题日落，同时添加了一个新的研究主题。对于每个重点研究主题，该项目将召集数学家，计算机科学家，统计学家和电气工程师的跨学科团队，以解决及时的问题并解决数据科学领域的重要问题。在本科，研究生和专业水平的数据科学方面的教学和课程开发工作是补充和完成研究工作。此外，T-Tripods的结构将与多个领域的应用领域专家建立特定而深厚的联系，从而导致转化研究。 T-Tripods强烈致力于所有人的数据科学，并将与Tufts STEM多样性中心紧密合作，以扩大参与Tufts.t-Tripods的数据科学本科研究机会的参与。研究重点I（数据的图和张量表示）在第二年将通过焦点II（收集，建模和从空间或时间维度中的数据中学习）和焦点III（数据保证：具有质量，近距，公平，公平，私密性和信任的保证的数据分析）在第三年的commult commult computie computie computie comportie concon（数据保证：数据保证：数据保证）。所有研究重点都将包括对研究生的跨学科培训；将数学，计算机科学和电气工程的专家和早期职业科学家汇集在一起的讲习班；涉及数据使用和分析的道德保障措施的培训模块；以及将研究人员从核心研究主题连接到四个确定的广泛应用领域的领域专家的想法实验室活动：1）生物学和生物医学数据，2）教育和认知科学，3）智能城市，发展和设计以及4）计算艺术和人文科学（包括语言和音乐）。 T-TRIPODS will be integrated within Tufts' new Data Intensive Science Center (DISC) and will synergize with and enhance existing Tufts University degree programs in Data Science.This project is part of the National Science Foundation's Harnessing the Data Revolution (HDR) Big Idea activity.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

项目成果

期刊论文数量（34）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems

加速贝叶斯逆问题 MCMC 算法的随机方法

DOI：
10.1016/j.jcp.2021.110391
发表时间：
2021
期刊：
Journal of Computational Physics
影响因子：
4.1
作者：
Saibaba, Arvind K.;Prasad, Pranjal;de Sturler, Eric;Miller, Eric;Kilmer, Misha E.
通讯作者：
Kilmer, Misha E.

Easy Variational Inference for Categorical Models via an Independent Binary Approximation

通过独立二元近似对分类模型进行简单的变分推理