Recent & Upcoming Talks

forthcoming

Whether future AI models make the world safer or less safe for humans rests in part on our ability to efficiently collect accurate data …

5 minute lightening talk on methods to collect annotations for NLP models

The instruments used to collect training data for machine learning models have many similarities to web surveys, such as the provision …

As many in the AI field transition from a model-centric to a data-centric approach, the quality of training data is receiving increased …

Data scientists are increasingly turning their attention to the collection of high quality training data. Those of us with expertise in data collection can apply lessons in web survey design to them.

As policymakers and community leaders have worked to respond to the COVID-19 pandemic, it has become increasingly clear that statistics and data science can play a critical role in protecting public health and determining the best path forward.

Many large-scale government surveys do not have the budget or time to conduct experiments to assess the effects of questionnaire …

Survey data producers increasingly provide estimates of nonresponse bias in several variables when they release or analyze data. …

The Consumer Expenditure Survey is a large, federal data collection effort and contributes to the calculation of the U. S. inflation …

We draw upon recent advances in computer vision algorithms and in the availability and resolution of geospatial big data to improve the …

Motivated misreporting occurs when respondents give incorrect responses to questions to shorten a survey interview. Previous research …

As survey costs increase and response rates decrease, researchers are looking to alternative methods to collect data from study …

The Consumer Expenditure interview survey consists of a 90 minutes of filter questions about putchases in categories such as, clothing, …

Do respondents underreport purchases in later waves to avoid follow up questions? CE respondents take part in four waves of the …

We draw upon recent advances in computer vision algorithms and in the availability and resolution of geospatial big data to improve the …