Lars Peter Hansen, Nobel Laureate
University of Chicago
Risk, Ambiguity, and Misspecification: Decision Theory, Robust Control, and Statistics
October 17, Noon
Charles F. Knight Executive Education & Conference Center, Classroom 200
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| TRIADS Speaker Series: Heng Ji
University of Illinois Urbana-Champaign
Large Neural Models' Self-Learning Symbolic Knowledge
October 26, Noon
DUC 276
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Statistics and Data Science Seminars, Co-Sponsored by TRIADS |
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Yiyuan She
Florida State University
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction
October 5, 4 p.m.
Cupples II L015
(No RSVP required)
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| Emily Hector
North Carolina State University
Turning the data-integration dial: efficient inference from different data sources
October 12, 4 p.m.
Cupples II L015
(No RSVP required)
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Stay up to date on Statistics and Data Sciences events by visiting sds.wustl.edu.
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Open October 2023
Presented by: Bernard Becker Medical Library and Washington University Libraries
October 11, 16, 19, 23 and November 9
A series of seminars highlighting trends in open science, open data and open access.
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Designing Usable and Useful Privacy Choice Interfaces
Presented by: WashU Computer Science & Engineering
October 13, 11 a.m.
Whitaker Hall 218
Featuring speaker Lorrie Faith Cranor, this talk will discuss user-centric approaches to designing and evaluating privacy interfaces that better meet user needs and reduce the overwhelming number of privacy choices.
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| DOD Lunch and Learn
Presented by: Arts & Sciences, McKelvey School of Engineering
October 18, Noon
Seigle L003
Please join us for a lunch and learn session with Dr. Jessica Venable, Thorn Run Partners. Dr. Venable and her team will be hugely helpful and can tell you more about the DOD-related process, which differs from NSF or NIH.
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AI and Digital Health Summit
Presented by: Digital Transformation at WashU
October 18-19
Emerson Auditorium, Knight Hall
Discover the future of Digital Transformation and AI through engaging multi-track sessions, captivating demonstrations, and groundbreaking research presentations, hosted jointly by WashU's Danforth and Medical Campuses alongside prominent leaders in the field.
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Big Team Science Conference
October 23-25
Virtual
The goal of this three-day virtual conference is to bring together a multidisciplinary group of researchers, funders, and stakeholders to discuss advancements, challenges, and future opportunities related to big team science.
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| Global Flourishing Conference
Presented by: Templeton World Charity Foundation
November 29-30
Virtual
The symposium will focus on work in progress and project outcomes in the areas of environmental research, social innovation, global health challenges, and digital transformation.
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If you are interested in any of the grant opportunities below, please reach out to Dr. Bhavna Hirani, Senior Research Development Associate, for assistance.
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DARPA Information Innovation Office (I2O): Proposers Day on November 2, 2023
Deadline to Register: October 19, 2023
The hybrid event will provide information to potential proposers on the objectives of the anticipated I2O Office Wide Broad Agency Announcement (BAA). Dr. Victoria Romero is a new Program Manager at DARPA for programs in cognitive security and the integration of behavioral science into AI development and evaluation.
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Russell Sage Foundation
LOI Deadline: November 7, 2023
RSF will accept letters of inquiry (LOIs) under all of its core programs and special initiatives: Behavioral Science and Decision Making in Context; Future of Work; Immigration and Immigrant Integration; Race, Ethnicity and Immigration; Social, Political, and Economic Inequality.
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NSF: Dynamics of Integrated Socio-Environmental Systems (DISES)
Proposal Deadline: November 17, 2023
The DISES Program supports research projects that advance basic scientific understanding of integrated socio-environmental systems and the complex interactions within and among the environmental and human components of such a system.
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American Education Research Association
Proposal Deadline: November 20, 2023
The aim of the program is to advance fundamental knowledge of relevance to STEM education policy, foster significant science using education data, promote equity in STEM, and build research capacity in education and learning. The program supports highly competitive studies using rigorous quantitative methods to examine large-scale, education-related data.
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NSF: Human Networks and Data Science
Proposal Deadlines: January 11 (Core Research Track) and February 1 (Infrastructure Track), 2024
Supports research that enhances understanding of human behavior by leveraging data and network science research across a broad range of topics.
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Do you have feedback or want to submit an item for a future newsletter? Let us know at triads@wustl.edu.
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