National Institute of Statistical Sciences

NISS/CNSTAT at the National Academies of Sciences collaborated to put together this webinar on Blended Data on Wednesday, June 5, 2024 at 1-3pm ET!

This panel discusses the work of three committees appointed by the National Academies of Sciences, Engineering, and Medicine to develop a vision for a new data infrastructure for national statistics and social and economic research.

Speakers:
Erica Groshen, Senior Economics Advisor in the Institute for Compensation Studies at Cornell University

Sharon L. Lohr, Emeritus Distinguished Professor, Arizona State University & Vice President and Senior Statistician, Westat (ret.)

Jerry Reiter, Department Chair and Professor of Statistical Science in the Department of Statistical Science at Duke University

Moderator: Melissa Chiu, National Academies of Science, Engineering, and Medicine

Register here on Zoom: https://lnkd.in/ezhSfuE5

Full details available on event page: https://lnkd.in/e8KKCKVM

The goal of ITSEW 2024 is to promote discussion of questions of research, methodology and practice relating to Total Survey Error (TSE) and Total Survey Quality, and Blended Data. Workshop sessions are comprised of relatively short presentations and catalyzing discussion by a designated discussant. These presentations are followed by floor discussion among all participants.
Register at https://www.niss.org/events/international-total-survey-error-workshop-itsew

Once again this very popular short course will be hosted by NISS as hybrid with virtual lectures and meetings with your mentor prior to the JSM on Fridays 7/19 and 7/26, and an in-person session at JSM to be held on Sunday, August 4, 2024 in Portland, OR. Improve your writing skills! Perfect for English as a 2nd language persons, technical writing, grant writing, etc. w w w.niss.org\events

NISS Affiliates Update for December 2023 -

NISS Affiliates Update for December 2023 GWU & GMU Joint Statistics Day NISS Sponsored  ●  March 22, 2024  ●  More details to come... George Washington University (GWU host) Department of Statistics & Department of Biostatistics & Bioinformatics and the George Mason University (GMU) Department of Statistics are jointly organizin...

Register for the COPSS-NISS Webinar: Leadership at the Intersection of Tech & Academia on Tuesday 10/17/2023 at 12-1pm ET!

Speakers:

Barbara E Engelhardt, Senior Investigator at Gladstone Institutes and Professor at Stanford University in the Department of Biomedical Data Science

Natesh S. Pillai, Professor of Statistics, Harvard University

Moderator:

Lorin Crawford, Principal Researcher at Microsoft Research New England

Visit our event page for full details: https://lnkd.in/g9JjkCDU

Registration Link: https://lnkd.in/g6FrHNKp

NISS Affiliates Update for October 2023 -

NISS Affiliates Update for October 2023

NISS Affiliates Update for July 2023 -

NISS Affiliates Update for July 2023

https://www.niss.org/events/niss-annual-writing-workshop-junior-researchers-jsm-2023

The NISS Ingram Olkin Forum on Unplanned Clinical Trial Disruptions Published in Statistics in Biopharmaceutical Research (Vol. 15, No. 1, 2023)

Register for the GSN quarto Short Course: Friday 4/7/2023 at 12-1:30pm ET instructed by Dr. Mine Çetinkaya-Rundel from Duke University! - https://mailchi.mp/niss.org/eventsgsn-quarto-short-course

NISS seeks new Director! https://www.niss.org/careers/niss-seeking-next-director

"Distinguished Theme Seminar Series 2021: Causal Inference" is a NEW NISS Sponsored Webinar Series hosted by Purdue University, Department of Statistics.

This is a weekly online seminar during the Fall semester on the topic of causal inference. Visit our Upcoming Events page to view full details on our each event here: https://www.niss.org/events

Upcoming Schedule:

August 27, 2021: Introductory Workshop - Associate Professor Arman Sabbaghi, (Department of Statistics, Purdue University)

September 3, 2021: Clutter-Free Causal Inference - Professor Donald B. Rubin, (Temple, Tsinghua, and Harvard Universities)

September 10, 2021: Single World Intervention Graphs (SWIGs): A Unification of the Graphical and Counterfactual Approaches to Causality with Applications - Professor James M. Robins, (Harvard T.H. Chan School of Public Health)

September 17, 2021: What is Causal Inference? - A Logical Perspective - Professor Judea Pearl, (Samueli School of Engineering, University of California, Los Angeles)

September 24, 2021: Statistical Learning: Causal-oriented and Robust - Professor Peter Bühlmann, (Department of Mathematics, ETH Zürich)

Lingzhou Xue selected as inaugural member of statistics leadership academy | Eberly College of Science Lingzhou Xue, associate professor of statistics at Penn State and associate director of the National Institute of Statistical Sciences (NISS), has been selected as one of the inaugural members of the…

Tune in TOMORROW: Friday, 1/29, 11am EDT! If you haven't registered, now is your chance to do so! We also have an updated schedule for the next few webinars in this series.

Click for more info on tomorrow's event: "Competitive Control via Online Optimization" presented by: Adam Wierman, (CalTech): https://lnkd.in/gadpxqr

Check out our updated upcoming events list on our NISS website here: https://lnkd.in/gDBVeEP

Registration and Webinar Series Schedule: https://lnkd.in/e7YC3wB

Day 5 of the COPSS-NISS COVID-19 Data Science Webinar Series on Thursday, February 4th at 12-1pm ET (9-10am PT)!

"Host and Viral Genetics of SARS-CoV-2 to Enable Epidemiologic Surveillance, Clinical Insight and Pathobiology" is the fifth session in the series and will be presented by: Priya Duggal (Johns Hopkins) and Priya Duggal (Johns Hopkins) and will be moderated by Debashree Ray (Johns Hopkins).

Register Today! https://lnkd.in/dtfr6Re

"A Representational Model of Grid Cells Based on Matrix Lie Algebras" will be presented by Dr. Ying Nian Wu next week Friday, September 11th at 10:30 ET!

For more information, please view our NISS event website here: https://lnkd.in/g5bGczQ

Registration Link: https://lnkd.in/getKDkr

Here's an updated schedule for our co-sponsored virtual Online Seminar Mathematical Foundations of Data Science series!

You can view more information on these events on our NISS website here: https://lnkd.in/gDBVeEP

Make sure you tune in and register every week to these events below!

Registration Link: https://lnkd.in/e7YC3wB

Webinar Series: Data Science in Action in Response to the Outbreak of COVID19 Curating a COVID-19 Data Repository and Forecasting County-level Death Counts in the United States Speaker Dr. Bin Yu, Chancellor’s Distinguished Professor, University of California Berkeley

ASA, ISI, and NISS will host a series of open town hall discussions!

The purpose of these discussions is to understand the breadth of the statistics community involvement at their local, state or national level in Covid-19 public health efforts.

July 17th at 1pm ET: Town Hall - Sampling & Registries, hosted by Kathy Ensor and John Bailer.

July 24th at 1pm ET: Town Hall - Clinical Trials, hosted by Lisa LaVange.

Additional Town Halls - After JSM: The final town halls will focus on modeling and contributions to public health and will be scheduled after JSM.

Learn more on our NISS event website: https://www.niss.org/events/asa-isi-and-niss-town-halls-covid-19

Registration
Please use this link (https://forms.gle/u1E8rJcZkmUBE3R67) to register for the first two of these Town Halls.

NISS is announcing a new Ingram Olkin Forum Series Event! "Unplanned Clinical Trial Disruptions" will be held on July 21st and 28th!

The first two days are free and open sessions, registration is required, and donations are appreciated! These first two days will expose the statistical issues surrounding unplanned disruptions of clinical trials and lay the foundations for the issues to be addressed in days 3-6.

Register NOW: https://lnkd.in/gZv4Mk6

Ingram Olkin Forum Series: Unplanned Clinical Trial Disruptions NISS is announcing a new Ingram Olkin Forum Series Event!

The National Institute of Statistical Sciences (NISS) and the American Statistical Association Section on Statistics in Epidemiology (ASA-SIE) have teamed up to co-sponsor a special two hour tutorial on SIR methods. The instructor for this event is Ottar Bjornstad, PhD.

In this tutorial, you will learn about the background and theory of the SIR modelling approach, how it is applied to understand the spread of COVID and other infectious diseases, and how to use R software to fit basic and more complicated SIR models.

There is limited space to register so hurry before space runs out! Free to NISS Affiliates and ASA-SIE Members! Registration link here: https://lnkd.in/dcc4mvy

NISS is proud to co-sponsor two new weekly online webinar series during the COVID-19 pandemic.

"The Data Science in Action In Response to The Outbreak of COVID-19" (DSA) is a series featuring new speakers presenting their webinars every Friday at 11am EDT.

Find out more information about upcoming events on our website here: https://www.niss.org/events

Feel free to also check back on our Facebook, LinkedIn or Twitter for any new updates!

Schedule and registration page for the DSA series: https://statds.org/events/webinar_dsa2020/schedule.html