statistics

July 19, 2022

NIH Data Management and Sharing (DMS) Policy Webinar Series Part 2

The NIH Office of Science Policy (OSP) and the Office of Extramural Research (OER) invite you to join them for an informative webinar series focused on the new NIH Data Management and Sharing (DMS) Policy which goes into effect on January 25, 2023. This policy reinforces NIH’s longstanding commitment to making the research it funds available to the public and sets the baseline expectation that sharing data is a fundamental component of the research process.

Registration is required separately for each webinar.

Thursday, August 11; 1:30 – 3:00 PM EST
Understanding the New NIH Data Management and Sharing (DMS) Policy
In this first webinar of the series, you will learn about DMS policy expectations, the applicability of the policy, how to prepare a Data Management and Sharing Plan, and considerations for sharing data responsibly.
August 11 – Part 1 – DMS Webinar Registration

Thursday, September 22; 1:30 – 3:00 PM EST
Diving Deeper into the New NIH Data Management and Sharing Policy
In this second webinar of the series, we will expand upon the information presented in the first webinar and dive deeper into topics including privacy protections for data from human participants and justifiable limitations on sharing data.
September 22 – Part 2 – DMS Webinar Registration

Please direct all inquiries to:

OER Communications: OER@od.nih.gov

July 19, 2022

NIH Data Management and Sharing (DMS) Policy Webinar Series Part 1

Registration is required separately for each webinar.

Thursday, August 11; 1:30 – 3:00 PM EST
Understanding the New NIH Data Management and Sharing (DMS) Policy
In this first webinar of the series, you will learn about DMS policy expectations, the applicability of the policy, how to prepare a Data Management and Sharing Plan, and considerations for sharing data responsibly.
August 11 – Part 1 – DMS Webinar Registration

Thursday, September 22; 1:30 – 3:00 PM EST
Diving Deeper into the New NIH Data Management and Sharing Policy
In this second webinar of the series, we will expand upon the information presented in the first webinar and dive deeper into topics including privacy protections for data from human participants and justifiable limitations on sharing data.
September 22 – Part 2 – DMS Webinar Registration

Please direct all inquiries to:

OER Communications: OER@od.nih.gov

April 13, 2022

Lessons from the Calculus Knowledge Assessment Webinar

Spring 2022 Speaker Series: Dr. Jim Fowler

Register: https://osu.az1.qualtrics.com/jfe/form/SV_07itqyw6CZ79nfg

Dr. Jim Fowler is a mathematician at The Ohio State University. His research interests broadly include geometry and topology, and more specifically focus on the topology of high-dimensional manifolds and geometric group theory. In other words, he thinks in depth about highly symmetric geometric objects. He’s fond of using computational techniques to attack problems in pure mathematics.

Additionally, Dr. Fowler built the adaptive learning platform that powers MOOCulus, a massive open online course that features over 25 hours of calculus videos and exercises. This course was initially offered on Coursera during the Spring Semester of 2012–13 and had 47,000 students enrolled in the course, with several thousand successfully completing the 15-week course. Dr. Fowler’s talk will highlight the lessons he has learned from developing his Calculus Knowledge Assessment and how it has helped him develop stronger pedagogical insight on teaching.

February 25, 2022

Workshop I: Introduction to JASP and Bayesian Data Analysis (Virtual)

Register: https://osu.az1.qualtrics.com/jfe/form/SV_6rDWZ9r6SzwUF0i

Friday, February 25, 11:00 a.m. to 12:30 p.m.

This session will cover an introduction to the JASP environment, Bayesian statistics, and will demonstrate how to conduct basic Bayesian tests (e.g., binomial tests and one-sample t-tests). Join us for this FREE virtual hands-on workshop. Part II will occur March 4 – see that entry.

Participants should have their own laptop with JASP installed for each workshop

Read more & download JASP at our JASP workshop webpage!

February 1, 2022

Workshop II: Bayesian Data Analysis with JASP (Virtual)

Register: https://osu.az1.qualtrics.com/jfe/form/SV_byGwL55rufQDJC6

This session will cover additional Bayesian tests (e.g. independent samples t-tests, ANOVA, and regression).

Participants should have their own laptop with JASP installed for each workshop

Read more & download JASP at our JASP workshop webpage!

October 12, 2021

Workshop on jamovi (Virtual)

Come learn about a rising star in the statistical software world! jamovi is a free, point-and-click software for quantitative analysis. There will be two workshops and participants will need to register for each workshop separately. It is recommended to register no later than Tuesday, Oct. 19. Click below to register for one or both workshops.

Workshop 1: Introduction to jamovi

Date: Oct. 20, 3:00-4:30 p.m.

REGISTER FOR WORKSHOP 1

Workshop 2: Statistical Analysis with jamovi

Date: Oct. 27, 3:00-4:30 p.m.

REGISTER FOR WORKSHOP 2

Please email Brian Timm if you have any questions.

August 25, 2021

The Pitfalls of Data Portals: A Look at Cross-National Homicide Rates Webinar

On Wednesday, September 8, the QMC will host Dr. Manuel Eisner of the University of Cambridge for a presentation on using data provided by open-access portals (e.g., World Health Organization, UNICEF). Dr. Eisner is the Director of the Violence Research Centre at the University of Cambridge and has published over 100 journal articles and book chapters on interpersonal violence.

International organizations provide data on education, health, and child well-being and data from such portals help researchers address important research questions, but sometimes how the data are used leads to bad science. Join us for this Zoom presentation on the applicability and perils of using data provided by open-access portals. We’ll send a reminder email and Zoom link the day before the presentation to all registrants.

July 12, 2021

2021 NCES STATS-DC Data Conference: All Data on Deck! Using Data to Improve Education Through the Pandemic

Registration is now open for the 2021 NCES STATS-DC Data Conference! The Conference, hosted by the National Center for Education Statistics (NCES), will be held virtually from August 16-20, 2021. The theme of this year’s conference is, “All Data on Deck! Using Data to Improve Education Through the Pandemic.” The conference is free and open to the public. The 2021 NCES STATS-DC Data Conference will be 100% virtual.

Highlights of the conference include—

Discussions on technical and policy issues related to the collection, maintenance, and use of education data for education researchers, policymakers, and data system managers from all levels of government who want to share innovations in the design and implementation of education data collections and information systems
Informative sessions on the Common Core of Data (CCD), data collection, data linking beyond K-12, data management, data privacy, data quality, data standards, data use (analytical and instructional), fiscal data, Statewide Longitudinal Data Systems (SLDS), and changes in how the U.S. Department of Education collects and uses data
Updates on Federal and State activities affecting data collection and reporting, with a focus on the best new approaches in collecting, reporting, and using education statistics

July 9, 2021

Introduction to Data Science, Machine Learning and Deep Learning (in R and Python) Online Short Course

AI has manifested itself in all areas of our lives and is one of the most exciting and fast-growing fields of research and application in the world of data science. This course will provide an overview of using R and Python for some of the most popular machine learning and deep learning models in real-world data science applications in the cloud environment. The sessions will step through the basic theoretical concepts behind those models and mainly focus on applications. You will learn the motivation and use cases of these models through hands-on exercises. This short course’s main topics are: big data cloud environment, tree-based models, regularization methods, feedforward neural network, convolutional neural network, and recurrent neural network.

This online course is designed for audiences with a statistics education background, and it bridges the gap between traditional statisticians and data scientists. No software download or installation is needed, and everything is done through the internet browser with hands-on sessions in Databrick’s cloud environment and Colab. This is a 7-hour remote course with a 30 minute break for lunch.

Instructors: Ming Li (Amazon) and Hui Lin (Google)

Cost varies from $25 to $70 based on registration type. Early bird registration ends August 10, 2021.

Questions: Email asa.columbus.chapter@gmail.com or contact any of the officers listed below.

ASA Columbus Chapter Officers:

President – Jessica Kolschmidt (jk.kolschmidt@gmail.com)
Vice-President – Melissa Moore-Clingenpeel (moore.clingenpeel@gmail.com)
Treasurer – Asu Turkmen (turkmen@stat.osu.edu)
Secretary – Teri Berliner (ttberliner@gmail.com)
Past President – Shasha Bai (shasha.bai@osumc.edu)
Chapter Representative – Bo Lu (lu.232@osu.edu)
Communications – Deedra Nicolet (nicolet.1@osu.edu)