The School of Industrial Engineering at the Universidad Diego Portales, Chile, is proud to organize the International Conference on Data Science ICDS2023 to be held in Santiago of Chile from November 8 to 10, 2023. The theme of the conference is Multidimensional Perspectives: From Statistical Learning to Data Science Applications. The conference is sponsored by the International Association for Statistical Computing. The objectives are:

• to provide an overview of the state-of-the-art of the ongoing research in statistical learning and data science,
• to contribute to forming a critical mass of researchers and practitioners in statistical learning and data science,
• to involve students and young researchers in scientific outreach activities,
• and to enrich the interdisciplinary dialogue between theory and application at a national and international level. The conference is an in-person conference, although some sessions will be streamed virtually in hybrid sessions.

Complete information can be found at https://www.icds2023.cl.

Submission Guidelines

The Scientific Program Committee of the ICDS20023 invites to submit proposals for Invited Paper Sessions, Contributed Abstracts and Posters in all areas of statistical learning and data science. Authors are requested to submit IPS, CA, or Posters in the Easychair platform https://easychair.org/my/conference?conf=icds2023.

• An Invited Paper Session should include an organizer and 3 to 4 abstracts.
• An abstract for oral or poster presentation should be at most 200 words.
• A session presentation is about 80 mins.
• All sessions will take place in parallel.
• Each presenting author is responsible for submitting its abstract. When corresponding, please do not forget to add the title of the IPS, and the name and affiliation of the IPS organizer.

The conference is an in-person conference, although some sessions will be streamed virtually. The official language is English. All participants are expected to adhere to the ISI Community Principles and Conduct Policy (https://www.isi-web.org/about/policies/community-conduct).

Authors with accepted abstracts at ICDS2023 are invited to submit a full paper to the Special Issue on Data Science in Business and Industry of Applied Stochastic Models in Business and Industry (ASMBI). ASMBI is the official journal of the International Society for Business and Industrial Statistics (ISBIS). Submissions are possible until January 30, 2024. The Call for Paper is available at https://onlinelibrary.wiley.com/journal/15264025.

List of Topics

Multivariate analysis, nonparametric statistics, spatial statistics, robust statistics, extreme value theory, time series analysis, multi-block methods, high-dimensional data analysis, latent variable models, symbolic data analysis, compositional data analysis, functional data analysis, censored data analysis, fuzzy data analysis, Bayesian analysis, biostatistics and biocomputing, statistical signal processing, text processing, big data analysis, data visualization, machine learning and artificial intelligence, deep learning, resampling methods, numerical analysis and optimization methods in computational statistics, data structure and complex data, parallel computing for data science applications, among others. Applications in all areas of knowledge are of special interest: environmental and climate sciences, chemical sciences and chemometrics, energy and sustainable development, transport and logistics, psychology and psychometry, econometrics and finance, astronomy and physics, agronomy and forestry sciences, social web, security, internet of things, natural disaster modeling, and all areas of engineering.

Program Committee

Alba Martínez Ruiz (Chile), Alfonso Iodice D'Enza (Italy), Arthur Tenenhaus (France), Carlo Lauro (Italy), Christophe Croux (France), Cristian Cruz (Honduras), David Muñoz (México), David Banks (USA), Emilio Porcu (Arab Emirates, Ireland, Chile), Eufrásio de Andrade Lima Neto (UK, Brazil), Fabrizio Ruggeri (Italy), Francisco Louzada (Brazil), Gilbert Saporta (France), Holger Ceballos (Ecuador), Hugo Robotham (Chile), Javier Trejos (Costa Rica), Jonathan Acosta (Chile), Jorge Figueroa (Chile), Juan Restrepo (USA), Juergen Symanzik (USA), Katherine Ensor (USA), Luis Firinguetti (Chile), Luis Moncayo (México), Manuel Galea (Chile), Manuel Mendoza (Mexico), Martha Bohorquez (Colombia), Mauricio Castro (Chile), Miguel de Carvalho (UK, Portugal, Chile), Monday Adenomon (Nigeria), Natalia da Silva (Uruguay), Orietta Nicolis (Chile), Paula Brito (Portugal), Paulo Canas Rodrigues (Brazil, Portugal), Paula Fariña (Chile), Ricardo Sanders Ehlers (Brazil), Rodrigo Salas (Chile), Ronny Vallejos (Chile), Rosaria Lombardo (Italy), Rubén Carvajal (Chile), Sara Arancibia (Chile), Stefan Van Aelst (Belgium), Sugnet Lubbe (South Africa), Yolanda Gómez (Chile), Yuichi Mori (Japan), Han-Ming (Hank) Wu (Taiwan).

Venue

The conference will be held in the Nicanor Parra Library at the Universidad Diego Portales. 

The Nicanor Parra Library is the ideal space for the most prominent cultural and academic outreach activities at UDP. A sustainable building houses the library, which becomes a space for the exchange of ideas, discussion, and gathering for the whole community. Cinema, literature, photography, and rock also have a place.

The library is located at Vergara 324, Santiago of Chile. More information at https://bibliotecanicanorparra.udp.cl/.

Contact

All questions about submissions should be emailed to alba dot martinez at mail dot udp dot cl.

Endorsements

• Faculty of Engineering and Sciences Universidad Diego Portales (UDP)
• Sociedad Chilena de Estadística Chilean Society of Statistics (SOCHE)
• International Association for Statistical Computing
• International Statistical Institute (ISI)
• International Society for Business and Industry (ISBIS)
• Special Interest Group on Data Science ISI
• American Statistical Association (ASA)