Past Events

Event Date:
September 24, October 1, and October 8, 2021
Event Type:
Affiliate Award Fund Eligible, NISS Hosted, NISS Sponsored
Event Location:
Virtual Conference

United States
Total Survey Error in the Age of COVID-19 After a hiatus in 2020, ITSEW returns this year as a series of three virtual weekly seminars on the theme Total Survey Error in the Age of COVID-19.  As with earlier workshops, the goal is to promote discussion of questions of research, methodology and... more
Event Date:
October 8 - 10, 2021
Event Type:
NISS Sponsored
Event Location:
Elliott University Center
507 Stirling Street
University of North Carolina at Greensboro
Greensboro, North Carolina, 27412
United States
International Conference on Advances in Interdisciplinary Statistics and Combinatorics The main objective of the conference is to promote interdisciplinary research involving statistical techniques. These techniques are becoming increasingly important in all fields of scientific discovery. A unique... more
Event Date:
Wednesday, October 6 — Thursday, October 7, 2021
Event Type:
Affiliate Award Fund Eligible, NISS Sponsored
Event Location:
Virtual and Penn Stater Hotel & Conference Center
University Park, Pennsylvania, 16802
United States
Digital fairness is a crucial consideration for any scientist who relies on computation. Who owns artificial intelligence models and who owns the data in those models? What biases are unintentionally embedded in the models? How transparent are the data manipulation processes? How reproducible are... more
Event Date:
October 3 - October 6, 2021
Event Type:
Affiliate Award Fund Eligible, NISS Sponsored
Event Location:
Villas by the Sea
1175 Beachview Dr North
Jekyll Island, Georgia, 31527
United States
The Southern Regional Council on Statistics (SRCOS) Summer Research Conference (SRC) has been successful for 55 years.  This summer conference is particularly valuable for graduate students, providing them with the opportunity to interact closely with internationally-known leaders in the field... more
Event Date:
September 24, 2021  10:30 – 11:30 am ET
Event Type:
NISS Sponsored
Statistical Learning: Causal-oriented and Robust Speaker Peter Bühlmann, Department of Mathematics, ETH Zürich Abstract Reliable, robust and interpretable machine learning is a big emerging theme in data science and artificial intelligence, complementing the development of pure black box prediction... more
Event Date:
September 24, 2021 10 am ET
Event Type:
Affiliate Award Fund Eligible, NISS Sponsored
The Department of Statistics at Florida State University is pleased to announce Susan Murphy, Professor of Statistics at Harvard University, as the speaker for its annual endowed Myles Hollander Distinguished Lecture. Murphy will present “We used a Bandit Algorithm to Personalize But Did It Work... more
Event Date:
September 17, 2021 10:30 – 11:30 am ET
Event Type:
NISS Sponsored
What is Causal Inference? - A Logical Perspective Speaker Judea Pearl, Samueli School of Engineering, University of California-Los Angeles Abstract The purpose of this talk is to explain the role of causal inference in the context of growing interests in machine learning and data science. I will... more
Event Date:
September 10, 2021 10:30 – 11:30 am ET
Event Type:
NISS Sponsored
Single World Intervention Graphs (SWIGs): A Unification of the Graphical and Counterfactual Approaches to Causality with Applications Speaker James M. Robins - Harvard T.H. Chan School of Public Healths Abstract Counterfactuals (aka Potential Outcomes) are extensively used in Statistics, Political... more
Event Date:
Wednesday, September 8 - 12-1:30pm ET
Event Type:
NISS Hosted, NISS Sponsored
[Please Note: This session has already occurred.  Go to the News Story to read about what happened.]  Interested in pursuing a career as a statistician at an academic institution?  Then you won’t want to miss this next career fair sponsored by NISS that will offer essential information about job... more
Event Date:
September 3, 2021 10:30 – 11:30 am ET
Event Type:
NISS Sponsored
Clutter-Free Causal Inference Speaker Donald B. Rubin - Temple, Tsinghua, and Harvard Universities Abstract Many, if not most, data analyses aim at understanding relationships between quantities that we observe, and trying to understand what would happen if we intervened in our world in various... more

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