ESRA News Archive

CfP for BigSurv20 is now open

ESRA is proud to support the organisation of the BigSurv20 conference, which will be held in Utrecht (4-6 November 2020). The call for submission of abstracts and session proposals is now open. The submission deadline is February 13, 2020. Abstract should not exceed 500 words. Please prepare a session description in addition to your abstract of max. 150 words.

You can submit abstracts for one of the following formats:

1. Paper Presentation involving an oral presentation of approximately 15 minutes to an audience.
2. Poster Presentation involving a visual display combined with interactive author-audience discussion. Poster presentations will occur during a dedicated poster conference session.
3. Demo Presentation involving a software demonstration with interactive author-audience discussion. Demo presentations will occur during a dedicated demonstration conference session.

The conference offers an opportunity to address how researchers produce, analyze, and use statistics. The event intends to foster communication, collaboration, and understanding between (1) computer and data scientists focusing on emerging Big Data sources and analysis techniques, and (2) methodologists and researchers working on traditional sources of data collection and statistical analyses.

To be considered for the conference, abstracts should be broad and forward-looking; they may be original research or syntheses of the state of the art. To organize the abstract submissions, the BigSurv20 Scientific Committee has identified the following presentation tracks. When submitting abstracts, please select up to three presentation tracks that you identify as most relevant and appropriate for your abstract.

1. Combining multiple sources of data, such as registers, survey data, media, and sensor data
2. Ethics of data collection and processing in the era of Big Data
3. Measurement, feature construction
4. Innovations in data collection: Methods and new data sources
5. Advances in questionnaire and survey user interface/experience design and evaluation
6. Artificial Intelligence (AI) or Machine Learning (ML) in data cleaning and processing
7. Estimation issues using Big Data and/or survey data
8. Advances in modeling: Machine learning, deep learning, AI
9. Computationally intensive methods
10. Quality assessments of various sources of data, such as registers, survey data, media, and sensor data
11. Communication and data visualization
12. Create your own track (please specify)

All abstracts and session submissions will be peer reviewed by three reviewers. Individuals will be notified of the outcome of their submission in April 2020. For further details see the BigSurv20 webpage


Submitted: 2019-12-06