BigSurv Call for Abstracts

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bigsurv

BigSurv23: Call for Abstracts

The third international conference on Big Data Meets Survey Science (BigSurv) is currently accepting abstracts and session proposals on the theme, “Connecting Innovations in Data Science, Survey Research, and the Social Sciences.” The first call for abstracts and session proposals closes on March 20, 2023.

 

BigSurv23 Overview: In co-organization with the United Nations Association of Ecuador, BigSurv23 will be held October 26-28, 2023, at Universidad San Francisco de Quito, in Ecuador. This is a unique global conference focused on bringing together a diverse community of researchers and practitioners interested in exploring how we can effectively and equitably collect and analyze Big Data. Drawing from experts from across disciplines, our goal is to deepen our understanding about how we make better decisions using these data.

In recognition of the global nature of these challenges, we are meeting in Latin America for the first time, and we are excited to announce a new partnership with IEEE (Region 9), expanding the impact of the BigSurv initiative. The conference will be preceded by a Big Data challenge and short courses, and exciting keynotes.

Contributions from the conference will be considered for publication as Conference Proceedings through IEEE Xplore, or in a Special Issue of IEEE LATAM Transactions. Full papers will be submitted on later dates, depending on the chosen publication format.

Additional information on the presentation formats and tracks can be found on the BigSurv23 website at https://www.bigsurv.org/abstracts

We look forward to your submission and seeing you in Quito in October, 2023!

The BigSurv23 Scientific Committee
(Amelia Burke-Garcia, Trent Buskirk, Ana Lucía Córdova Cazar, Adam Eck, Ellie Graeden, Andrés Gutiérrez, Craig Hill, Don Jang, Lilli Japec, Antje Kirchner, Julián Maya, Stas Kolenikov, Peter Lugtig, Alberto Sánchez, Barry Schouten, Nan Zhang)

 

 

 

 

 

 

Submit your abstracts and sessions

 

 

 

 


Latin America – Region 9 : https://r9.ieee.org/

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