Agenda
Register in advance for this webinar:
https://nsf.zoomgov.com/webinar/register/WN_Nfc8kaeNR4ur5jl5i-2GnA
9:00am- 9:05am Welcome and introductions
Chairperson: Mike Jadoo
9:05am- 9:20am "Networking effectively in a virtual environment"
Robert Brandau- Career Confidence
10:10am-11:30am Session 1 Regular presentations
Theme: Use cases in Data Visualization and Big data
Chairperson: S. Gwynn Sturdevant
10:10am-10:30am “Visualizing the Impact of COVID-19 on WIC” , Kelsey Gray - Insight Policy Research[CODE]
10:30am-10:50am "Modern Data Science Techniques for Visualization", James Cutler- U.S. Army [PRESENTATION]
10:50am-11:10am “Analyze Global COVID-19 data with data visualization”, Mythili Krishnan [CODE] [PRESENTATION]
11:10am-11:30am “Profiling statistical programming language performance for large-scale data tasks”, Cecile Murray- US Census [CODE and Material]
11:33 am -12:33pm Lightning round 1
Chairperson: Mitchell Shuey
11:33am-11:43am “Augmented CPS data on industry and occupation”, Peter Meyer- Bureau of Labor Statistics, Kendra Asher, Bureau of Labor Statistics [PRESENTATION]
11:43am-11:53am “APIs: you’re probably not using them and why you probably should”, Josiah Parry- RStudio [PRESENTATION]
11:53am-12:03pm “Online Winsorization of Construction Price Statistics”, Charles Coleman -US Census Bureau [CODE] [PRESENTATION]
12:03pm-12:13pm " Libraries and E-Rate Funding: How I Built a Data Pipeline in R from a Scheduled R Script on AWS to a Shiny Dashboard”, Bree Norlander -University of Washington Technology & Social Change (TASCHA) Group , Chris Jowaisas-University of Washington Technology [CODE and SLIDES]
12:13pm-12:23pm ”A picture is worth a thousand labor hours: pinpointing efficiency opportunities in the processing of data from large-scale, complex surveys.”, Lauren Warren - RTI International
12:23pm-12:33pm “Crop classification and uncertainty assessment at 10 m resolution using Google Earth Engine”, Luca Sartore -USDA NASS
12:33pm-1:05pm Lunch
1:05pm- 3:05pm Session 2 Regular presentations
Theme: Artificial Intelligence and Natural Language Processing techniques
Chairperson: Peter Meyer
1:05pm-1:25pm “Building Neural Networks in R with External Machine Learning Engines”, Philip Waggoner - University of Chicago [CODE]
1:25pm-1:45pm “Using Named Entity Recognition to Identify Substances used in Self-Medication of Opioid Withdrawal” , Peter Baumgartner- RTI International [PRESENTATION]
1:45pm-2:05pm“From Natural Language Processing and Graph Data Models to Knowledge Graphs”, Chris Marokov- Office of Management and Budget (OMB), Executive Office of the President [PRESENTATION]
2:05pm-2:25pm“Detecting Pharmaceutical Innovations in News Articles and Financial Filings”, Gizem Korkmaz- Biocomplexity Institute, University of Virginia , Devika Mahoney-Nair- Biocomplexity Institute & Initiative, University of Virginia , Neil Alexander Kattampallil- Biocomplexity Institute & Initiative, University of Virginia, Gary Anderson -National Center for Science and Engineering Statistics, National Science Foundation [PRESENTATION]
2:25pm-2:45pm“Adopting prior distributions for the variance-covariance matrices to fully specify an area-level bivariate hierarchical Bayes three-fold model for proportions of adult competency”,Andreea Erciulescu- Westat [PRESENTATION]
2:45pm-3:05pm"Tornado Property Loss Scale: Up to $8 Billion by 2025 Classification, Dependence, and Prediction of Tornado Events in the U.S." ,Thilini Mahanama- Texas Tech University [PRESENTATION]
3:10 - 4:20pm Lightning round 2
Chairperson: Brandon Kopp
3:10pm-3:20pm “Easily Automating R Scripts on Windows”, James Cutler- U.S. Army[CODE] [PRESENTATION] [CODE2]
3:20pm-3:30pm “Using Julia for Dissemination of Information About the General Election in Puerto Rico”, José Bayoán Santiago Calderón- Biocomplexity Institute & Initiative, University of Virginia [CODE] [PRESENTATION]
3:30pm-3:40pm “Toward an Integrated Record Linkage Environment at the Census Bureau”, Yves Thibaudeau- US Census Bureau [PRESENTATION]
3:40pm-3:50pm“When a Dashboard Won’t Do: Automating Static Data Visualization of COVID-19 Data in Python”, Alexander Preiss- RTI International [PRESENTATION]
3:50pm-4:00pm“Work Stoppages Web Scrape Project”, Drake Gibson- Bureau of Labor Statistics, David Oh-Bureau of Labor Statistics [PRESENTATION]
4:00pm-4:10pm“Automatic Production of Large Spatial Price Rasters with Python”, Kevin Hunt-USDA NASS
4:10pm-4:20pm“Using Deep Learning to Classify Open Text Field Comments in a Panel Study”, Kristin Chen-Westat [PRESENTATION]
4:25 -5:50pm Session 3 regular presentations
Theme: Topics in DevOps and Machine Learning
Chairperson: Wendy Martinez
4:25pm-4:45pm“Data Catalog with Machine-Learning based engines for Statistical Programming”, Pragyansmita Nayak- Hitachi Vantara Federal [PRESENTATION]
4:45pm-5:05pm“Automated Revenue Prediction Modeling”, Thom Miano- RTI International [PRESENTATION]
5:05pm-5:25pm“Adaptive Computational Reproducibility in a Shifting R Package Landscape”, Kiegan Rice- NORC at the University of Chicago ,Dr. Heike Hofmann, Iowa State University [PRESENTATION]
5:25pm-5:45pm“Deploying R Models to Implement REST Production Endpoints”, Frank Font- FINRA ,Yan Cheng-FINRA, David Llanos-FINRA [PRESENTATION]
5:50pm - 6:00pm Closing and Knowledge Harvesting
Facilitator: Mike Jadoo
https://us02web.zoom.us/j/85221109486?pwd=Vlozc093MDhNK0M4d09qcktMTGpIZz09