NISS

We have two great speakers joining us tomorrow for the COPSS-NISS Leadership Webinar focusing on Leadership at the Intersection of Causal Inference and Interdisciplinarity at 12PM ET! #StatsLeadershipWebinar #Statistics #CausalInference Full details available on the event page: https://lnkd.in/eJGjKUsX Date: Tuesday, December 3, 2024, 12-1pm ET/9-10am PT Join us for the COPSS-NISS Leadership Webinar, "Leadership at the Intersection of Causal Inference and Interdisciplinarity," where thought leaders will discuss the evolving role of causal inference across diverse fields. The session will explore the latest advancements and practical challenges in applying causal methods to real-world issues, highlighting the importance of collaboration across disciplines. Don’t miss this opportunity to gain insights on how interdisciplinary approaches enhance the impact and relevance of causal research. Speakers:  1. Mark van der Laan, Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at the University of California, Berkeley 2. Elizabeth Stuart, Frank Hurley and Catharine Dorrier Chair and Bloomberg Professor of American Health in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health, with joint appointments in the Department of Mental Health and the Department of Health Policy and Management; Moderator: Shu Yang, Associate Professor of Statistics at North Carolina State University Register on Zoom! https://lnkd.in/et2pUasj For future webinars, keep up to date with our schedule for the COPSS-NISS Leadership Webinars here: https://lnkd.in/d5-JJEp6

Join us for another COPSS-NISS Leadership Webinar Tues November 26th at 12-1pm ET! This sessions topic will highlight Leadership at the Intersection of Statistics and Psychometrics #StatsLeadershipWebinar Full details available on event page: https://lnkd.in/eC6zxZ5b Speakers: 1. Dr. Steven Andrew Culpepper (UIUC, president-elect of the Psychometric Society and Co-Editor of Journal of Educational and Behavioral Statistics) 2. Dr. Sandip Sinharay (Educational Testing Service, and the current Editor of Psychometrika and the previous editor for the Journal of Educational Measurement and the Journal of Educational and Behavioral Statistics) Moderator: Dr. Gongjun Xu (Associate Professor of Statistics at the University of Michigan, and Co-Editor, Journal of Educational and Behavioral Statistics) Register on Zoom: https://lnkd.in/g_ypGVPa

NISS is pleased to co-sponsor The 2024 Influencing Discovery Exploration and Action (IDEA) Forum focuses on Trustworthy AI. In this virtual event, the plenary speakers will discuss the successes, challenges, and opportunities as AI technologies continue to develop. #trustworthyai #artificialintelligence #generativeai #datascience #statistics See the event website for more details. Please Register to attend! https://lnkd.in/eiK_VHyY Registration: https://lnkd.in/eWmQhU7T Program Welcome Bonnie Ghosh Dastidar, ASA President Overview Mark Glickman, Harvard University Speakers Jeanette M. Wing, Executive Vice President for Research, Columbia University Arvind Narayanan, Co-Author, AI Snake Oil Jennifer Thom, Senior Director of Experience Insights, Code for America Q&A Moderator: Lingzhou Xue, Penn State University Remarks from the ASA Board Closing Ji-Hyun Lee, ASA President-Elect Full Program with bios available here: https://lnkd.in/emnPY47v

Register for the upcoming webinar "Mastering Communication Skills for Collaborative Research in Statistics and Data Science" on Friday, November 15th at 2-3:30pm ET organized by the NISS New Researchers Network! #newresearchers #statistics #datascience #collaborativestatistics #communicationskills Effective communication is a critical skill that everyone acknowledges as important, yet it is often missing from formal curricula in Statistics and Data Science. In this panel, designed for new researchers working or planning to work in collaborative research environments, experts will share their experiences and insights on why strong communication is essential for success. Panelists will discuss best practices, exchange ideas with each other, and engage with the audience through a Q&A session. Visit the event page on the NISS website for full details: https://lnkd.in/eE7F_Zip Featured Speakers: Sahar Zangeneh, RTI International & University of Washington Joel Dubin, University of Waterloo Justin Strait, Los Alamos National Laboratory Moderator: Sharmistha Guha, Texas A&M University Register on Zoom here: https://lnkd.in/eJ8uGa2r

Join us for an insightful webinar: "COPSS-NISS Leadership Webinar: Leadership in Linking Statistical Theory and Scientific Inquiry" Tuesday, October 29, 2024 at 12-1pm ET! Full details on the event page: https://lnkd.in/ezRySNf3   Speakers: 1. Michael R. Kosorok, PhD, W.R. Kenan, Jr. Distinguished Professor of Biostatistics, Professor of Statistics and Operations Research, and Director of the Gillings School Center for AI and Public Health, University of North Carolina at Chapel Hill. 2. Daniela Witten, Professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statistics. Moderator: Anru Zhang, Professor, Departments of Biostatistics & Bioinformatics and Computer Science & Departments of Statistical Science, Electrical & Computer Engineering, and Mathematics, Duke University. Register on Zoom here: https://lnkd.in/edffkyzp

The new NISS AI, Statistics & Data Science in Practice series launches today! Check out Prof. Bin Yu's talk on "Veridical Data Science: Bridging the Gap in Education and Research" moderated by NISS Affiliates Committee Chair Dr. Nancy J McMillan! Free, 10/15 11:30-1:00ET, register here: https://lnkd.in/emdurbjJ More About `AI, Data Science, and Statistics in Practice':   The NISS AI, Data Science, and Statistics in Practice is a monthly event series part of the NISS Collaboratory (CoLab) will bring together leading experts from industry and academia to discuss the latest advances and practical applications in AI, data science, and statistics. Each session will feature a keynote presentation on cutting-edge topics, where attendees can engage with speakers on the challenges and opportunities in applying these technologies in real-world scenarios. This series is intended for professionals, researchers, and students interested in the intersection of AI, data science, and statistics, offering insights into how these fields are shaping various industries. The series is designed to provide participants with exposure to and understanding of how modern data analytic methods are being applied in real-world scenarios across various industries, offering both theoretical insights, practical examples, and discussion of issues. Upcoming Featured Topics: Veridical Data Science Statistics and Experimentation Needs in Industry Generative AI for Use in Industry Causal AI in Finance and Technology Industries Uncertainty Quantification for Random Forests Deep Learning Methods for Closed-Loop Neuromodulation Machine Learning for Airborne Biological Hazard Detection Causal Inference in Marketing Analytics Practical Return on AI Investment