Data Science and Image Analysis Conference of the Pacific Northwest

该奖项将资助60名学生和初级研究人员参加2020年2月29日和3月1日在华盛顿州普尔曼华盛顿州立大学举行的太平洋西北地区数据科学和图像分析会议，重点是招募和资助女性和代表性不足群体的成员。会议将通过高度互动和开放的形式促进在当前和正在进行的研究领域的密切合作，并在更大和更小的小组中进行讨论。第一天将有来自数据科学和图像分析领域的行业、政府和学术界的专业人士聚集在一起，以及学生和博士后研究人员，通过简短的演讲、深入的小组讨论和分组会议，就公开问题展开合作。第二天将包括针对学生和初级研究人员的专业发展活动，并将以该小组成员的陈述为特色，并由专业人士提供直接反馈。这次会议将为学生和初级研究人员提供一个独特的参与机会，并将鼓励各级研究人员之间未来的合作。从金融和安全到医疗保健和社交媒体，几乎社会每一个部门对管理和分析“大数据”的需求不断增长，这导致了在众多研究领域的广泛应用。同样，图像分析技术也在继续发展，并被纳入许多学科，如生物医学成像、机器学习和计算机视觉。由于许多重要的社会成果依赖于这些领域，会议可以通过广泛分享在所讨论的公开问题上取得的进展来对社会产生广泛影响，这有可能导致数据科学和图像分析方面的进一步进展，从而促进科学发现。随着对这些领域专家的需求迅速增长，会议还将有助于增加进入STEM领域的研究人员数量，特别是妇女和代表性不足群体的成员。讨论主题将包括拓扑数据分析、生物信息学、遥感数据学习、金融和经济预测、生物医学成像中的图像分割和过滤、高光谱成像、模式识别、形状分析和图像重建。更多信息可在data cienceanddimageanalysis.com上找到。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This award will provide funding for sixty students and junior researchers, with a focus on recruiting and funding women and members of underrepresented groups, to attend the Data Science and Image Analysis Conference of the Pacific Northwest at Washington State University in Pullman, Washington, February 29th and March 1st, 2020. The conference will promote close collaborations on current and ongoing areas of research through a highly interactive and open format, with discussions taking place in both larger and smaller groups. The first day will have professionals from industry, government, and academia in the fields of data science and image analysis come together, along with students and post-doctoral researchers, to collaborate on open problems through short talks, in-depth group discussions, and breakout sessions. The second day will consist of professional development activities for students and junior researchers, and will feature presentations from members of this group, with direct feedback provided from professionals. The conference will provide a unique opportunity for students and junior researchers to participate and will encourage future collaborations among all levels of researchers. The ever-increasing demand for managing and analyzing "big data"in nearly every sector of society, from finance and security to health care and social media, has led to a wide range of applications across numerous fields of research. Similarly, image analysis techniques have continued to be developed and incorporated into a multitude of disciplines, such as biomedical imaging, machine learning, and computer vision. Since many important societal outcomes are dependent on these fields, the conference can make a broad impact on society by widely sharing the progress made on the open problems discussed, which has the potential to lead to even further progress in data science and image analysis and thus to advance scientific discovery. With the demand for experts in these areas growing rapidly, the conference will also serve to increase the number of researchers entering STEM fields, especially women and members of underrepresented groups. Discussion topics will include topological data analysis, bioinformatics, learning from remote sensing data, financial & economic prediction, image segmentation and filtering in biomedical imaging, hyperspectral imaging, pattern recognition, shape analysis, and image reconstruction. More information can be found at datascienceandimageanalysis.com.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.