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 Event Recordings page.


AI, Statistics and Data Science in Practice

The NISS AI, Statistics and Data Science in Practice is a monthly event series that brings together leading experts from industry and academia to discuss the latest advances and practical applications in AI, data science, and statistics. Each session features 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. 


Ingram Olkin Statistics Serving Society

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

  • Police Use of Force
  • Addressing the Opioid Crisis with Statistical Methodology
  • Reducing Maternal Mortality Rates Across the USA
  • Gun Violence - The Statistical Issues
  • Statistics on Combatting Human Trafficking: Estimating Prevalence Methods
  • Advancing Demographic Equity with Privacy Preserving Methodologies: Current Challenges and Potential Future Work
  • COVID and the Schools: Modeling Openings, Closings, and Learning Loss
  • Algorithmic Fairness and Social Justice
  • Unplanned Clinical Trial Disruptions 

NISS New Researchers Network

The NISS New Researchers Network fosters collaboration and support among early-career statisticians, graduate students and undergraduate students offering resources and opportunities for professional growth.


Collaborative Data Science

The Collaborative Data Science initiative at NISS brings together experts from various fields to tackle complex data challenges through interdisciplinary teamwork and innovative methodologies.

The goal is to foster progress in:

  • Developing new ideas for experimental and observational data-driven learning and discovery that address key questions at the cutting edge of science and scientific deduction;
  • Quantifying and summarizing uncertainty in data-driven theories, as well as complex Data Science models, algorithms, and workflows; and
  • Establishing new practices for scientific reproducibility and replicability through Data Science.

 


COPSS-NISS Leadership Webinar Series

The COPSS-NISS Leadership Webinar Series is co-organized by the Committee of the Presidents of Statistical Societies (COPSS) Emerging Leaders in Statistics and the National Institute of Statistical Sciences (NISS). The purpose of the webinar series is to promote leadership skills for members of the statistical societies at any stage in their careers. The series features conversations with leaders throughout the discipline, including leaders from major academic and government institutions, and companies. Invited speakers share their leadership stories and answer questions about their experiences. Each webinar is moderated by a member of the COPSS Emerging Leaders in Statistics program.

Upcoming Schedule (Free monthly webinars, pre-registration required) 


NISS Virtual Career Fair Series

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.

Latest Career Fairs:


NISS/FCSM AI in Federal Government Series

The National Institute of Statistical Sciences (NISS) and the Federal Committee on Statistical Methodology (FCSM) are collaborating on a series of webinars on Artificial Intelligence (AI).This series aims to benefit federal practitioners and managers by providing behind-the-scenes information on uses of AI in federal agencies and from insights on how agencies meet organizational, managerial, and ethical challenges in harnessing the power of AI. 


Undergraduate Student Guide for Grad School Virtual Series

Upcoming Schedule: 

NISS Academic Affiliates Grad School Fair: PhD & MS Programs in Statistical Sciences

  • Date TBD October 2025
  • Participating Universities: Full List Coming Soon!
  • Contact mglenn@niss.org if your academic department is interested in presenting!

Previous events:

  • Grad School Fair: PhD & MS Programs in Stats, Biostats & Data Science Degrees!
  • Graduate Student Panel
  • Alumni Panel

NISS / Merck Meet-Ups

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

These meet-ups have taken place three times a year virtually since 2017.


International Total Survey Error Workshop (ITSEW)

The goal of ITSEW is to promote discussion of questions of research, methodology and practice relating to Total Survey Error (TSE) and Total Survey Quality. Workshop sessions are comprised of relatively short presentations and catalyzing discussion by a designated discussant.  Speaker presentations are followed by floor discussion among all participants.

ITSEW began in 2005 and has taken place annually since then. Most recent events included:


Distinguished Theme Seminar Series 2021: Causal Inference

  Purdue University, Department of Statistics

A weekly online seminar during the Fall semester on the topic of causal inference.

Talks included:


Data Science Essentials for Business

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

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.

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.


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.


Mathematical Foundations of Data Science

A weekly online seminar on topics related to mathematical foundations of machine learning, statistics and optimization.

Most recent and upcoming talks include:

  • November 5, 2021: Alekh Agarwal, (Microsoft Research)
  • November 12, 2021: Jiawei Han, (UIUC)
  • November 19, 2021: Vasilis Syrgkanis, (Microsoft Research)
  • December 3, 2021: Lars Peter Hansen, (University of Chicago)
  • December 10, 2021: Jose Blanchet, (Stanford University)