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[ICPSR] Data Challenges for the Census and more at the Data Fair


Newly announced presentations for next week


ICPSR Data Fair "Data in Real Life"





The ICPSR Data Fair starts Friday, and if you aren't registered already we hope you'll join us.

The Data Fair is a free, virtual conference that is open to the public. Whether you attend one session or 28, there's something here for all.


Register here



Announcing two new presentations:

Data Quality Challenges for Census 2020: How will we know and what can we do?
Tuesday, 9/22 at 4pm EDT

Presented by: 
- John H. Thompson, former Director of the U.S. Census Bureau 
- D'Vera Cohn, senior writer and editor at Pew Research Center
- Dr. Joseph Hotz, Distinguished Professor of Economics at Duke University
- Dr. Mark Hansen, Columbia University (moderator)

Challenges for Census 2020: The impact on data quality
Friday, 9/25 at 12pm EDT

Speakers will include two Chief Statisticians of the United States (emeritae) and an expert on the development of statistical data systems (particularly the census). Topics will include mail delays at the USPS, political appointees, COVID-19, and other factors affecting the 2020 Census.


Data Fair at a glance:

All times EDT.

Please note that all attendees must register for the Data Fair before attending individual presentations.

Friday 9/18:

Monday 9/21:

Tuesday 9/22:

Wednesday 9/23:

Thursday 9/24:

Friday 9/25:


Share the Data Fair:
The Data Fair is entirely free and open to the public. Please copy and paste the information below to share with colleagues, students and more.


ICPSR Data Fair 2020 announcement

Join me at ICPSR's Data Fair, "Data In Real Life." With all the unexpected twists and turns of 2020, the ICPSR Data Fair will provide a data lens on timely topics such as the elections, Black Lives Matter, the Census, higher education, immigration, COVID 19, and so much more. September 21-25, 2020. Entirely virtual and free to all. Learn more and register at http://myumi.ch/ICPSRdatafair2020. #ICPSR


Share the Data Fair

















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