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Case Study

clouds

With environmental statistics becoming more visible in the news, it has become more politicized, which makes it harder for the public to both understand and interpret all the different results that are being published. NISS provided a multi-disciplinary team that would act as a non-biased, third party analyzing the data to help the U.S. Environmental Protection Agency with its complex datasets and models.

Research Project

Now that most National Center for Education Statistics (NCES) assessments and surveys are conducted using electronic modes, electronic data capture means that in addition to basic background information and final responses, data includes documentation of the process of responding. These process data comprise a time-stamped, click-by-click record of each student’s progress through the assessment or survey. To date these detailed process data have not been made available; however NCES is now preparing to establish a mechanism for release of process data for research purposes. The first panel was charged with making recommendations about how to minimize disclosure risks from such a data release. The second panel was asked to consider what data would be most useful to researchers, and how it should be preprocessed to allow a broad range of users able to use the data efficiently. 

Lidia Morawska (Queensland University of Technology) describes the airborne transmission of particles.
One could probably not find a better expert to talk about the airborne nature of the COVID-19 virus than Lidia Morawska who currently serves as the Director of the International Laboratory for Air Quality and Health and as Distinguished Professor at the Queensland University of Technology in... more
NISS’s Graduate Student Network (GSN) is a network of graduate students from NISS Affiliate academic institutions.  The goal of the network is to create connections among graduate students from different academic institutions, help students tackle the challenges of graduate programs and find ways... more
Frauke Kreuter (Maryland, Munich) reviews the structure behind the Facebook COVID-19 surveys.
During the COVID-19 pandemic, epidemiologists and data scientists have relied heavily on publicly reported data about cases, hospitalizations, and deaths. However, this data does not often give the full picture of the pandemic, particularly when public health reporting systems are not always timely... more
RTI International is an independent, nonprofit research institute dedicated to improving the human condition. Clients rely on RTI...
Cornell University, Department of Statistics and Data Science
The Department of Statistics and Data Science’s academic and research programs take advantage of Cornell University's extensive...
The National Agricultural Statistics Service (NASS) is the survey and estimation arm of the U.S. Department of Agriculture. NASS...