Event Series

Information about NISS hosted or sponsored events that are set up in a series that support a common purpose or topic.
To review the recordings of all previous events, click on the links below or visit the Meet-Up Recordings page.


NISS Hosted Webinar Series

Ingram Olkin Statistics Serving Society Forums

Forums honoring the memory of Professor Ingram Olkin focus on a current societal issue that could benefit from attention from the statistical community.

Ingram Olkin Forum: The Opioid Crisis (May 4, 2021)
Ingram Olkin Forum Series: COVID and the Schools: Modeling Openings, Closings, and Learning Loss (December 16, 2020)
Ingram Olkin Forum: Algorithmic Fairness and Social Justice (September, 2020)
Ingram Olkin Forum Series: Unplanned Clinical Trial Disruptions (Summer / Fall 2020 continuing into Spring 2021)
Inaugural Ingram Olkin S3 Forum: Gun Violence - The Statistical Issues  (June 2019)

NISS / Merck Meet-Ups    

Topics and issues of interest to biostatisticians, statisticians and epidemiologists related to the pharmaceutical industry.

"NISS-Merck Meet-up Discusses Open-Source Software in Pharma" (April 21, 2021)
"NISS-Merck Meetup Does it Again! Current Vaccine Efficacy Issues Discussed." (January 13, 2021)
"NISS/Merck Meetup Reviews the Challenges and Potential in Vaccine Development" (September 16, 2020)
"Bayesian Statistics the Focus of Popular NISS/Merck Meetup" (April 27, 2020)
"Recent Approaches to Adaptive Trials for Drug Development the Focus of NISS/Merck Meet-Up" (January 15, 2020)
"Subgroup Analysis" (September 10, 2019)
"Applications of Real World Data" (April 1, 2019)
"Statistical Challenges in Immuno-Oncology" (January 22, 2019)
"Real World Data and its Applications in the Pharmaceutical Industry" (October 4, 2018)
"Applications of Machine Learning in the Pharmaceutical Industry" (April 25, 2018)
"Estimands and Sensitivity Analysis in Clinical Trials" (January 23, 2018)
"Multiple Endpoints in Clinical Trials" (September 12, 2017)

Data Science Essentials for Business     

Tutorials that focus on the Top 10 analytics approaches for the key topics that are used in the business.

Registrations options: $35 for single Data Science Essentials tutorial sessions, $250 for all 10 Essential Data Science for Business tutorial sessions.  Can't attend the live session? Post Session Access to tutorial materials and recording can be obtained for $35 after the event is over (click on Post-Session Access link). NISS Affiliates, (https://www.niss.org/affiliates-list), please send an email to officeadmin@niss.org.

Overview: "Victor Lo Sets the Stage for a New Series of Tutorials: Essentials of Data Science for Business" - (July 29, 2020)

1. "Jim Harner Leads First Session Loaded with Methods and Examples Describing Data Science Workflows" - (October 7, 2020) [Post-Session Access]
2. "Second Data Science Tutorial Focuses on Data Visualization Led by Lee Wilkinson" - (October 21, 2020) [Post-Session Access]
3. "Predictive Analytic Tools Featured as Part of Third Data Science Tutorial" - (November 4, 2020) [Post-Session Access]
4. "Causal Inference and Uplift Modeling Take Center Stage in Data Science Tutorial" - (November 18, 2020) [Post-Session Access]
5. "Deep Learning & Neural Networks Highlight 5th Data Science Essentials Tutorial" - (December 2, 2020) [Post-Session Access]

6. "Energy, Interaction and Examples Highpoint of Unstructured Data Analysis Tutorial - Text Mining" - (February 10, 2021) [Post-Session Access]
7. "Implementation of Guidelines for Ethical Statistical Practice Illustrated" - (February 24, 2021) [Post-Session Access]
8."Three Data Scientists Provide An Insider’s Look into Critical Functions and Services" - (March 10, 2021) [Post-Session Access]
9. "A Framework for Analytical Consulting in Business Contexts" - (March 24, 2021) [Post-Session Access]
10. May 12, 2021: Victor Lo & Dessislava Pachamanova, "Prescriptive Analytics and Optimization" (see event page!)

Please Note: Each tutorial is presented as a stand-alone tutorial, in other words, you need not to have attended earlier sessions in order to attend later sessions.

NISS Affiliate Virtual Career Fairs

NISS Sponsored webinars where experienced statisticians from industry, government and academia talk about and provide advice for individuals interested in pursuing a career as a statistician.

"What Should Be In the Modern Statisticians Toolkit?" (March 30, 2021) 
"How to Negotiate a Job Offer – Advice from Department Chairs" (March 18, 2021) 
"Securing a Position in the Federal Government: What You Need to Know!" (March 12, 2021)
"NISS Career Fair Continues Discussion of Advice for Job Seekers During the Pandemic" (December 9, 2020) 
"Career Fair Focuses on Challenges Finding a Position During the Pandemic" (November 11, 2020) 
"Successful Career Fair Series Finishes with Insights into BioPharm Industries" (June 3, 2020)
"3rd NISS Government Career Fair" (May 22, 2020)
"Academic Career Paths Explored During NISS Career Fair" (April 23, 2020)
"Career Paths Highlighted in Three Health Related Government Agencies" (March 11, 2020)
"Advice and Insights Offered During Third NISS Industry Career Fair!" (February 19, 2020)
"NISS Government Career Fair Outlines Opportunities for Statisticians!" (January 8, 2020)
"Opportunities in Banking & Marketing Sectors Highlighted in Virtual Career Fair" (December 6, 2019)
"NISS Virtual Career Fair for NISS Affiliates" (September 26, 2019)

COPSS-NISS COVID-19 Data Science Webinar Series

The COPSS-NISS COVID-19 Data Science webinar series is co-organized by the Committee of the Presidents of Statistical Societies (COPSS) and its five charter member societies (ASA, ENAR, IMS, SSC, and WNAR), as well as NISS.  This bi-weekly seminar features the latest research that is positioned on the cusp of new understanding and analysis of COVID-19 pandemic data, and promotes data-driven research and decision making to combat COVID-19.

May 13, 2021 Communication of Statistical and Epidemiologic Concepts to Broad Audiences
"Communicating Statistics to the Media: Highs and Lows During the Pandemic Described" - (April 29, 2021)
"Flying the Plane while Improving It – Learning from COVID Patient Data in Close to Real Time" - (April 15, 2021)
"Pandemics, Poverty and Public Health: A Conversation with Jim Yong Kim" - (April 1, 2021)
March 18, 2021 - Cancelled COVID-19 One Year In: Navigating the Communications Triangle of Experts, Policy Makers, and the Public
"Predictions, Role of Interventions and the Crisis of Virus in India: A Data Science Call to Arms" - (March 4, 2021)
"Misinformation and Attitude Formation Analyzed Through Social Media Posts" - (February 18, 2021)
"Insights into Host and Viral Genetics of SARS-CoV-2 Discussed" - (February 4, 2021)
"Modeling Frameworks Provide Foundation for Inference and Projection of SARS-CoV-2" - (January 21, 2021)
"Epidemiologic Modeling in the Spotlight in 3rd COPSS-NISS COVID-19 Webinar" - (January 7, 2021)
"COPSS-NISS Webinar: Delphi’s COVIDcast Project Featured" - (December 17, 2020)
"Inaugural COPSS-NISS Webinar on the Statistics of COVID-19 Vaccine Trials - ‘Standing Room Only’!" - (December 3, 2020)

Many more in the planning stages!


Recent/Upcoming NISS Sponsored Webinar Series

Mathematical Foundations of Data Science

A weekly online seminar on random topics on mathematical foundations of machine learning, statistics and optimization

January 29, 2021: "Competitive Control via Online Optimization", Adam Wierman (California Institute of Technology) 
February 5, 2021: "Machine Learning under a Modern Optimization Lens", Dimitris Bertsimas (Massachusetts Institute of Technology)
February 12, 2021: "Hardness of MDP Planning with Linear Function Approximation" Csaba Szepesvari (University of Alberta/DeepMind)
February 26, 2021: "Deciphering Neural Networks through the Lenses of Feature Interactions" Yan Liu (University of Southern California)
March 5, 2021: "Stochastic Optimization Algorithms for Reinforcement Learning" George Lan (Georgia Tech)
March 19, 2021: "General Framework for Optimal Data-Driven Optimization" Daniel Kuhn (EPFL)
March 26, 2021: "Harnessing Structure and Algorithmic Properties for Scalable Learning Methods over Networks", Na Li (Harvard University)
April 2, 2021: "A law of robustness for two-layers neural networks", Sebastien Bubeck (Microsoft Research)
April 9, 2021: "Global Convergence of EM?" Harrison Zhou (Yale University)
April 16, 2021: "Causal Inference for Panel Data with General Treatment Patterns", Vivek Farias (Mass achusetts Institute of Technology)
April 23, 2021: Constantine Caramanis (University of Texas, Austin)
May 7, 2021: Daniel Spielman (Yale University)
May14, 2021: Rebecca Willet (University of Chicago)
May 21, 2021: Mathias Cattaneo (Princeton University)