Tuesdays from 2:30 to 4:00, with tea at 2:00.
Location: DMTI 111.
The slide presentations of most speakers are available upon request.
Please send an email to firstname.lastname@example.org.
Links to a few full presentations are provided below
Fall 2020 Schedule
9/8/2020: Stephen D. Casey, American University; Norbert Wiener Center University of Maryland
A New Architecture for Cell Phones Sampling via Projection for UWB and AFB Systems
9/15/2020: Martha Dusenberry Pohl, American University
Further Visualizations of the Census: ACS, Redistricting, Names Files; & HMDA using Shapefiles, BISG, Venn Diagrams, Quantification, 3-D rotation, & Animation
9/22/2020: Michael Baron, American University
Statistical analysis of epidemic counts data: modeling, detection of outbreaks, and recovery of missing data
9/29/2020: Soutrik Mandal, Division of Cancer Epidemiology and Genetics (National Cancer Institute | National Institutes of Health)
Incorporating survival data to case-control studies with incident and prevalent cases
10/13/2020: John P. Nolan, American University
Hitting objects with random walks
10/20/2020: Yuri Levin-Schwartz, Icahn School of Medicine at Mount Sinai
Machine learning improves estimates of environmental exposures
10/27/2020: Nathalie Japkowicz, American University
Harnessing Dataset Complexity in Classification Tasks
11/10/2020: Anthony Kearsley, NIST
11/17/2020: Donna Dietz, American University
An Analysis of IQ-Link (TM)
Spring 2020 Schedule
1/21/2020: Justin Pierce, Federal Reserve Washington DC
Examining the Decline in US Manufacturing Employment
1/28/2020: Ruth Pfeiffer, Biostatistics Branch, National Cancer Institution, NIH
Sufficient dimension reduction for high dimensional longitudinally measured biomarkers
2/11/2020: Erica L. Smith, Bureau of Justice Statistics, US Dept. of Justice
Overview of Department of Justice Statistical Data Collections Related to Gun Violence
2/18/2020: Sudip Bhatttacharjee, University of Connecticut
A Text Mining and Machine Learning Platform to Classify Businesses into NAICS codes
2/25/2020: Avi Bender, National Technical Information Service (NTIS)
Data Science Skills for Delivering Mission Outcome: An interactive discussion with the Director of the National Technical Information Service (NTIS), US Department of Commerce
3/10/2020: Spring Break
Due to the Corona Virus outbreak, all remaining colloquium presentations have been canceled for the rest of the Spring semester in 2020. We will start again in the Fall.
4/28/2020: Reading Day
5/5/2020: Final Exams
Fall 2019 Schedule
9/10/2019: Dr. Scott Parker, American University
Some useful information about the Wilcoxon-Mann Whitney test and effect size measurement
9/17/2019: Dr. Michael Robinson, American University
Radio Fox Hunting using Sheaves
9/24/2019: Dr. Zois Boukouvalas, American University
Data Fusion in the Age of Data: Recent Theoretical Advances and Applications
10/8/2019: Dr. Elizabeth Stuart, Johns Hopkins
Assessing and enhancing the generalizability of randomized trials to target populations
10/15/2019: Latif Khalil, JBS International, Inc.
Entity Resolution Techniques to Significantly Improve Healthcare Data Quality
10/22/2019: Dennis Lucarelli, American University
Steering qubits, cats and cars via gradient ascent in function space
10/29/2019: Michael Thieme, Assistant Director for Decennial Census Programs, Systems and Contracts
Census 2020 - Clear Vision for the Country
11/12/2019: John Eltinge, US Census Bureau
Transparency and Reproducibility in the Design, Testing, Implementation and Maintenance of Procedures for the Integration of Multiple Data Sources
11/19/2019: Xander Faber, Institute for Defense Analyses, Center for Computing Sciences
11/26/2019: Thanksgiving Break
12/10/2019: Final Exams
12/17/2019: Final Exams
12/24/2019-1/7/2020: Winter Break
Aleka Kapatou (email@example.com)
Olga Cordero-Brana (firstname.lastname@example.org)
Please email email@example.com if you would like to be added to the colloquium mailing list.
On November 12, 2019, United States Census Bureau's John L. Eltinge presented on "Transparency and Reproducibility in the Design, Testing, Implementation and Maintenance of Procedures for the Integration of Multiple Data Sources."