BIG DATA MEETS SURVEY SCIENCE

The Early Bird to participate in the third international conference Big Data Meets Survey Science (BigSurv23) on the theme “Connecting innovations in data science, survey research and social sciences” is open and will run until August 18.

The BigSurv23 Scientific Committee is delighted to announce that the full program for the conference is now available at www.bigsurv.org/program23.

We have brought together leading industry experts and leading academics to present an exceptional selection of presentations on Big Data and survey research. We have an inaugural panel of the highest level to talk about the future of computational social sciences in times of artificial intelligence. The virtual keynote address, which will be accompanied by a question and answer session, will be given by Dr. Juan M. Lavista Ferres, VP, Chief Data Scientist of the Microsoft AI for Good Laboratory.

During the sessions we will cover a variety of topics such as the latest applications of artificial intelligence and machine learning, linking survey data with Big Data sources to obtain relevant information for solving global problems, as well as innovative techniques. and state-of-the-art in sampling and data collection. We will also cover crucial issues such as privacy and ethics in the use of data, as well as the visualization of information and effective communication of results.

You can access the full program and find information on how to register on our official BigSurv23 website. We encourage you to explore the different sessions and prepare yourself for an enriching and knowledge-filled experience.

This is a unique opportunity to gain full access to all the talks and activities we have prepared in this edition, including presentations by leading experts, hands-on workshops, and valuable networking sessions. By reserving your spot before August 18, you can take advantage of reduced rates and secure your participation in BigSurv23 at a more affordable price.

Important dates: October 26 to 29, 2023

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