Date/Time
Date(s) - 29/07/2020 - 31/07/2020
All Day


[Updated: 2020/05/22]

Due to COVID-19 the Data Science, Statistics & Visualization Conference proceeds online from July 29-31, 2020. The conference website can be found at: https://www.samsi.info/programs-and-activities/research-workshops/2020-data-science-statistics-and-visualisation-conference-july-29-31-2020/

This virtual conference aims at bringing together researchers and practitioners interested in the interplay of statistics, computer science, and visualization, and to build bridges between these fields. We shall create a forum to discuss recent progress and emerging ideas in these adjacent disciplines and encourage informal contacts and discussions among all the participants. Presentations are this year only on the basis of invitation and will cover topics such as machine learning, the visualization of data, big data infrastructures and analytics, interactive learning, advanced computing.

In order to encourage networking during this virtual conference, it will be possible to set up (virtual) meetings with other participants. The program is not more than four hours (9:00-13:00 New York Time) a day and provisions will be available to meet other participants online around conference hours.

Please, register at your earliest convenience; the fees are kept at a low level.

Invited Speakers are:

– Cynthia Rudin, Duke University
– David Dunson, Duke University
– Robert Gramacy, Virginia Polytechnic
– Ming Yuan, Columbia University

 


[OLD]

The conference of Data Science, Statistics & Visualisation (DSSV 2020) will take place July 29-31, 2020, at Durham Convention Center, in the city of Durham, North Carolina, USA, see http://dssv2020.iasc-isi.org/. We aim to bring together researchers and professionals interested in the interplay of computer science, statistics and visualisation, hence building bridges between these fields. The conference will features as plenary speakers David Dunson (Duke University, USA), Bobby Gramacy (Virginia Polytechnic and State University, USA), Cynthia Rudin (Duke University, USA), and Ming Yuan (Columbia University, USA).

The deadline for abstract submission is due to 9 April, 2018 subject to no other postponement.
The DSSV2018 scientific committee encourages and welcomes you to submit your abstract.
We look forward to receive many exciting contributions!