What we're about

Statistical seminars DC's aim is to establish an environment where individuals can come together who are moving from one profession into the data analysis field in which they would find events and resources that would enable them to perform sound analysis.

Mission: Bring about an awareness of different statistical methods using free programming software and to maintain a learning atmosphere.

Support: Support other Meetups and organizations with the same goals.

Upcoming events (5)

Usha Govindarajulu: A biostatistician's encounter with COVID-19 in New York City

[Host: Jun Yan Professor, Department of Statistics, University of Connecticut Editor-Elect, Journal of Data Science] Date and time: Friday, June 5,[masked]:00 pm Duration: 1 hour 15 minutes Speaker: Usha Govindarajulu is a Senior Faculty in the Center for Biostatistics in the Department of Population Health Sciences of the Icahn School of Medicine at Mount Sinai. She graduated from Boston University with a PhD in Biostatistics and spent two years as a postdoctoral fellow at Harvard School of Public Health. She then worked for a year research faculty at Yale University before moving back to Boston and working at Brigham & Women’s and Harvard Medical School. After being there about 5 years, she moved to New York and took as a position as an Assistant Professor of Biostatistics at SUNY Downstate School of Public Health. She was there approximately 7 years before leaving to be in her current position. Her research interests are in survival analysis, frailty models, causal inference, genetic epidemiology, and machine learning. She is the 2020 Chair-Elect of the Section on Statistical Computing of the American Statistical Association. Description: In this presentation, I will discuss how working at a major New York City hospital system in the epicenter of the COVID-19 pandemic has changed my life forever. Around late March, I was pulled into COVID research for the hospital like I have never seen before. Suddenly being redeployed to work with a team of people who I had never met, who were also redeployed was a new challenge as well as keeping up with the daily download of updated data and analysis requests from infectious disease specialists to anesthesiologists. Dealing with real-time data analysis suddenly became the new normal. Handling messy data and constantly changing focus have been issues throughout. The challenge became being able to make meaning from all of this observational data. We certainly had more than enough patients but we needed to make correct interpretations of the messy and potentially biased data with meaningful statistical methods. Meanwhile there was institutional pressure to get the results fast. The pressure is still there and it is real as people are racing to find a cure for this horrible virus. Please hear how I have tried to manage during this crisis with making meaningful results out of data driven, time sensitive analyses. WebEx link: https://uconn-cmr.webex.com/mw3300/mywebex/default.do?nomenu=true&siteurl=uconn-cmr&service=6&rnd=0.7599564958648897&main_url=https%3A%2F%2Fuconn-cmr.webex.com%2Fec3300%2Feventcenter%2Fevent%2FeventAction.do%3FtheAction%3Ddetail%26%26%26EMK%3D4832534b0000000480d679c684f057942ac6855757828746a8d8407a8528f0f4490b51161eed3143%26siteurl%3Duconn-cmr%26confViewID%3D162446686733479679%26encryptTicket%3DSDJTSwAAAAT5pTvluBasGd2tva1hsbhM8R_8uvw6FpLIZgEEr0qgaQ2%26 Password: 2020

[CALL FOR PAPERS] IIF[online] Wrkshp: Economic Forecasting in Times of Covid-19

This announcement is a call for papers. The website to the event is here: https://forecasters.org/events/iif-workshops/ First Virtual IIF Workshop on “Economic Forecasting in Times of Covid-19” held on July 6-7, 2020 The COVID-19 pandemic has triggered a massive spike in concerns and uncertainties and raised challenges in macroeconomic forecasting surrounding almost every aspect. The purpose of this virtual workshop is to bring together researchers working on various aspects of measurement,modelling, evaluation and forecasting of COVID and its impact on the economy. We envisage the workshop papers will address, among others, the following topics: - Interaction between epidemics and economic decisions - The spread of the virus and its global spillovers - Measuring and forecasting the impact of the crisis on financial markets - High-frequency economic monitoring in times of crisis - Conducting fiscal/monetary policy in times of a pandemics - Historical lessons from previous pandemics - Quantification of concerns and uncertainties using news media - Long-run economic consequences of pandemics The scope of the workshop is not limited to the topics listed above and submissions from all areas of forecasting related to the Covid-19 crisis are welcome. PAPER SUBMISSION PROCEDURE: Please send full papers as a PDF to [masked]. The deadline for paper submissions is June 7, 2020. Authors of accepted papers will be informed by June 20, 2020. This online event will be held on July 6-7, 2020 SPECIAL ISSUE AT INTERNATIONAL JOURNAL OF FORECASTING: Selected papers presented in the workshop will be considered for a Special Issue in the International Journal of Forecasting. The deadline for submitting to this special issue is August 7, 2020. Papers will appear online as soon as accepted and the special issue is planned to publish between late 2020 and mid 2021. WORKSHOP ORGANIZERS: Laurent Ferrara, SKEMA Business School, [masked] Xuguang Simon Sheng, American University, [masked]

Career Transitioning with Kevin O’Connell

Online event

Summary: Job transitions can be stressful. Whether they’re due to layoff, a new job, or moving into a new field after graduation. Sometimes even seemingly minor professional moves can leave you feeling as if you’ve teleported to a strange land. The pace of change in almost every field is dizzying and what were once steady fields and safe careers are being disrupted by COVID-19 and other factors. Join us as Kevin O’Connell shares his tips on how to effectively change careers. The format of this event is a discussion form so bring your questions. Kevin O’Connell is a serial entrepreneur, author, and instructor at George Washington University’s School of Business with 15 years of higher education experience. After working his first 8 years in student affairs, Kevin launched himself full time to turn his passion project into a grassroots movement. The Niche Movement, a global community reaching more than 5,000 people, helps college students and young professionals rethink the traditional career search and find a job they love. In 2014 Kevin delivered his first TEDx talk and year later, released his first book The New Rules to Finding a Career You Love. Since going out to work for himself, Kevin has also founded and built a substantial digital storytelling agency called FYN Creative - based in Arlington, VA. Kevin and his team produce video content, create campaigns, and provide trainings for universities and nonprofits up and down the east coast. FYN Creative has partnered with over 30 organizations including American University, ACPA, the National Education Association, and Leadership Greater Washington. FYN Creative: Website: http://bit.ly/fyncreative Email: [masked] Twitter: http://bit.ly/fyntwitter Instagram: http://bit.ly/fyninstagram Facebook: http://bit.ly/fynfacebook Kevin O’Connell: Website: http://bit.ly/kowebsite Email: [masked] Linkedin: https://www.linkedin.com/in/kevinocon... Twitter: http://bit.ly/koco83twitter Instagram: http://bit.ly/koco83instagram Snapchat: koco83

[ONLINE] Geospatial Needs for a Pandemic-Resilient World

Hosted by the Mapping Science Committee To RSVP go to eventbrite: https://www.eventbrite.com/e/geospatial-needs-for-a-pandemic-resilient-world-tickets-106091273856 (FREE) About this Event Epidemics and pandemics such as the COVID-19 outbreak have clear geographic dimensions due to the vector spreading the virus (human contact), demographics and co-morbidity factors that vary geographically, the distributed and heterogeneous nature of health care systems, and the highly variable response and interventions from political authorities and the public-at-large. The decline and shifts in human activity also affect broader social, economic and environmental systems to varying degrees. Geospatial information can play vital roles in crafting effective government and societal responses at the operational, tactical and strategic levels. This workshop will explore the needs of federal agencies, organizations, and scientists for geospatial data science to understand and respond to epidemics/pandemics and developing infrastructure and policies that facilitate effective management and graceful recovery from these types of shocks. Sessions and Speakers Topic 1: Modeling the Spatial Spread of Disease and Its Local Burden [Title TBA], Josh Epstein, New York University How Should We Sample the World for Pandemic Response?, Simon Hay, University of Washington An Embedded Recursive Modified SIR Model for County Level Analysis of COVID-19, Sean Ahearn, Hunter College Topic 2: Geospatial Needs for Rapid Response [Title TBA], Marie Peppler and Christopher Cretini, USGS Spatiotemporal Patterns and Simulations for Fighting Against COVID-19, Chaowei (Phil) Yang, George Mason University Geospatial Considerations for Community-Based Contact Tracing, Elisabeth Root, The Ohio State University [Title TBA], David Blazes, Bill and Melinda Gates Foundation Topic 3: Spatial Indicators of Resilience and Recovery The New Normal? Responsible Use of Geospatial Information in a Post COVID-19 World, Ed Parsons, Google Measuring Mobility, Social Distancing, and Economic Impact with Anonymized Mobile Device Data, Le Zhang, University of Maryland Public transit as an Indicator: Connecting Geotemporal Ridership Data with Disease Spread and Policy, Jonathan Scheff, Transit

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