Draft:Instituto Milenio Fundamentos de los Datos
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| Submission declined on 24 August 2025 by Caleb Stanford (talk). This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies. This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
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| Submission declined on 9 August 2025 by Caleb Stanford (talk). This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies. Declined by Caleb Stanford 50 days ago. | |
| Submission declined on 29 July 2025 by DoubleGrazing (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by DoubleGrazing 1 month ago.
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| Submission declined on 29 July 2025 by Sksatsuma (talk). This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources. The submission appears to be written in Spanish. This is the English language Wikipedia; we can only accept articles written in the English language. Please provide a high-quality English language translation of your submission. Otherwise, you may write it in the Spanish Wikipedia. Declined by Sksatsuma 1 month ago. | |
Comment: Needs to be rewritten completely to encyclopedic tone. Most of the body of the article could/should be deleted. Author has a COI. Request for WP:Three sources was not posted as a comment. Caleb Stanford (talk) 16:05, 24 August 2025 (UTC)
- Comment: Please see WP:Three sources for some advice. Caleb Stanford (talk) 04:37, 9 August 2025 (UTC)
- Comment: Primary sources do not establish notability per WP:ORG. DoubleGrazing (talk) 14:49, 29 July 2025 (UTC)
The Millennium Institute on Foundational Research on Data (IMFD)[1] is a Chilean interdisciplinary scientific and academic research center focused on the study, development, and application of advanced methods for managing, analyzing, and interpreting data.[2] It was established in 2018[3] under the Millennium Science Initiative[4], a program of the Chilean Ministry of Science, Technology, Knowledge, and Innovation[5].
Its current director is the academic from the Department of Computer Science at the Pontifical Catholic University of Chile[6], Juan Reutter.
History
[edit]The institute is an evolution of the Semantic Web Research Center[7]. The Millennium Institute for Foundational Research on Data was founded in 2018 under the direction of Marcelo Arenas[8], an academic from the Department of Computer Science at the Pontifical Catholic University of Chile, and Pablo Barceló, at that time an academic at the Faculty of Physical and Mathematical Sciences at the University of Chile.
Between 2018 and 2021, it had five lines of research: Social Data, Multimodal Data, Emerging Requirements, Artificial Intelligence, and Robust Information Structures. In 2021, the research line on Artificial Intelligence was awarded a new research center, the National Center for Artificial Intelligence, CENIA[9], led by Álvaro Soto[10], so since then there have been four lines of research, although both centers still have many researchers in common.
It is jointly hosted by the Pontificia Universidad Católica de Chile[11] and the University of Chile, and also includes researchers from other institutions such as the University of Concepción[12], the University of Talca, the Adolfo Ibañez University, the Major University and the San Sebastian University. The IMFD brings together researchers from computer science, statistics, linguistics, social sciences, and law to address complex challenges related to data science, public information access, and evidence-based decision-making.
Lines of research
[edit]This research area brings together computer scientists, statisticians, and political scientists to address complex societal challenges through data analysis. The project is led by Juan Pablo Luna and Juan Reutter, and includes researchers such as Marcelo Arenas[14], Susana Eyheramendy, Marcelo Mendoza, Matías Toro, Sebastián Valenzuela, Hans Lobel, Carla Alberti and Naim Bro.
This area focuses on the management and analysis of multimodal and graph-based data, with an emphasis on knowledge graphs and multimedia data integration (including text, images, audio, and video). Research in this project involves algorithm design, data structures, indexing, query optimization, and techniques from representation learning. The project is led by Gonzalo Navarro[16] and Diego Arroyuelo, with contributions from Marcelo Arenas, Aidan Hogan, Juan Reutter, Domagoj Vrgoč, Renzo Angles, Cristian Riveros and José Fuentes.
3. Query Answering Methods for Emerging Requirements
[edit]This research line addresses emerging theoretical and practical challenges in data-centric systems. It seeks to anticipate future requirements in areas such as data correctness, efficiency, explainability, expressivity, fairness, and privacy. Research combines formal methods—through the development of new abstractions and computational models—with experimental systems tested on both real and synthetic data. It is led by Pablo Barceló and Aidan Hogan, and includes Marcelo Arenas, Juan Reutter, Éric Tanter, Domagoj Vrgoč, Jorge Baier, Jocelyn Dunstan Escudero, Federico Olmedo, Cristian Riveros, Matías Toro, and Leopoldo Bertossi.
4. Robust Information Structures
[edit]This area studies how to design data and information systems that are resilient to misinformation, hate speech, and polarization. Combining perspectives from computer science, communication studies, and political science, the project develops computational methods to promote reliable and less biased representations of reality in digital platforms. It is led by Magdalena Saldaña, Sebastián Valenzuela, Benjamín Bustos, Marcelo Mendoza, Felipe Bravo-Marquez, Jocelyn Dunstan Escudero, Ricardo Baeza-Yates, Denis Parra and Bárbara Poblete.
Collaboration and Networking
[edit]The IMFD collaborates with government agencies, international organizations, and civil society, supporting the organization of research and learning meetings in the areas of data science, social data, artificial intelligence, and the gender gap in STEM.
It has established partnerships with international institutions such as the Economic Commission for Latin America and the Caribbean (ECLAC)[17], the United Nations Development Programme[18], the Organization for Economic Cooperation and Development (OECD)[19], the Institut National de Recherche en Informatique et en Automatique (INRIA), the Linked Data Benchmark Council (LDBC)[20] , and Wikimedia Chile[21]
Among government agencies, the IMFD has worked with Chile's Ministry of Social Development and Family Affairs[22], Ministry of Transportation[23], Social Security Superintendency (SUSESO)[24], and National Council for Innovation and Development (CTCI)[25], among others. It has also collaborated with the Millennium Institute for Research on Violence and Democracy (Viodemos)[26], the Center for Conflict and Social Cohesion Studies (COES)[27], and the Millennium Nucleus for Digital Inequalities and Opportunities (NUDOS).[28]
In the area of engagement with civil society, the Plataforma Telar project (2019-2020)[29] was the first initiative implemented in Chile to study opinions on the Constitutional Convention in real time, broadcast in partnership with CNN Chile[30]. The IMFD creates podcast content on data science in Spanish, such as Ellas Programan[31] (focused on the gender gap); Ciencia de Datos con Jocelyn Dunstan[32]; and Hablemos de Datos, los fundamentos de la inteligencia artificial.
In organizing learning and research activities, the IMFD has participated as an organizer in the International School of Computational Social Sciences in Uruguay, organized jointly by the Millennium Institute for Foundational Data Science, the the Interdisciplinary Center for Data Science and Machine Learning[33], University of the Republic, Uruguay[34], and the Data Methods and Access Unit[35], University of the Republic, Uruguay; the Summer School in Computational Social Sciences (SICSS)[36], the MIT–Chile Human-Centered AI & Visualization Research Workshop[37], the ChileWiC Women in Computing Meeting[38], and KHIPU 2025[39].
The institute produces peer-reviewed publications in prestigious journals in computer science, statistics, and social sciences. It also organizes workshops, public talks, and academic meetings to promote the responsible and impactful use of data.
Three best sources
[edit]Communications of the ACM highlights the work in Latin America [29]
Alliance with CNN Chile [30]
Extra: Creation of IMFD in local media El Mostrador [1]
References
[edit]- ^ a b "Instituto Milenio Fundamentos de los Datos, IMFD". Milenio | Ciencia de Excelencia para Chile (in Spanish). Retrieved 2025-08-20.
- ^ [1][dead link]Millenium Institute on Foundamental Research on Data(https://www.imfd.cl/en/about-us[dead link])
- ^ "Nuevo Instituto Milenio estudiará el efecto de los datos en temas de difusión de noticias falsas". El Mostrador (in Spanish). 2018-01-17. Retrieved 2025-08-20.
- ^ "Iniciativa Milenio". Milenio | Ciencia de Excelencia para Chile. Retrieved 2025-08-20.
- ^ "MinCiencia". MinCiencia (in Spanish). Retrieved 2025-08-20.
- ^ "Inicio". Departamento de Ciencia de la Computación (in Spanish). Retrieved 2025-08-20.
- ^ "CIWS". Milenio | Ciencia de Excelencia para Chile. Retrieved 2025-08-20.
- ^ "Académico de Ingeniería UC, Marcelo Arenas, dirigirá nuevo Instituto Milenio sobre Fundamentos de los Datos".
- ^ "Cenia". CENIA. Retrieved 2025-08-20.
- ^ "Los logros del primer Centro Nacional de Inteligencia Artificial en Chile". La Tercera (in Spanish). 2023-02-02. Retrieved 2025-08-20.
- ^ Pontificia Universidad Católica de Chile. “Académicos participan en el Instituto Milenio Fundamentos de los Datos.” [2](https://www.ing.uc.cl)
- ^ Universidad de Concepción. “Participación en el IMFD.” [3](https://www.udec.cl)
- ^ "Telar and TelarKG: Data-Driven Insights into Chile's Constitutional Process – Communications of the ACM". 15 July 2024.
- ^ a b "People of ACM: Marcelo Arenas". www.acm.org. Retrieved 2025-08-20.
- ^ "Tackling Challenges in Implementing Large-Scale Graph Databases – Communications of the ACM". 15 July 2024.
- ^ a b "People of the ACM - Gonzalo Navarro". www.acm.org. Retrieved 2025-08-20.
- ^ United Nations OICT (2019-01-23). Datos: desde sus fundamentos a su impacto social @ TechNovation CEPAL. Retrieved 2025-08-20 – via YouTube.
- ^ "Nuevo estudio | PNUD presenta tercera entrega de las Escuchas Constitucionales". UNDP (in Spanish). Archived from the original on 2025-05-21. Retrieved 2025-08-20.
- ^ BUILDING DIGITAL WORKFORCE CAPACITY AND SKILLS FOR DATAINTENSIVE SCIENCE (PDF). July 2020.
- ^ LDBC. "Seventeenth TUC Meeting". ldbcouncil.org. Retrieved 2025-08-20.
- ^ "Conversatorio "Datos abiertos para entender a Chile: El potencial de Wikipedia para entender nuestra memoria social"". Wikimedia Chile (in Spanish). 2024-08-16. Retrieved 2025-08-20.
- ^ "Ministerio de Desarrollo Social y Familia". Ministerio de Desarrollo Social y Familia (in Spanish). Retrieved 2025-09-16.
- ^ "Proyecto "IDEA" unificará 150 millones de datos mensuales para mejorar información disponible en sector logístico y de carga". Subtrans. Retrieved 2025-08-20.
- ^ "Portal". SUSESO. Gobierno de Chile (in Spanish). Retrieved 2025-09-16.
- ^ Panorama del Ecosistema de Ciencia, Tecnología e Innovación en Chile en los 10 últimos años (PDF). December 2023.
{{cite book}}: CS1 maint: date and year (link) - ^ "Investigadores muestran que el 18/O viralizó a medios periodísticos alternativos". VioDemos (in Spanish). Retrieved 2025-08-20.
- ^ "Primer workshop COES – IMFD marca inicio de la colaboración formal entre ambos centros de investigación – COES" (in Spanish). 2025-06-26. Retrieved 2025-08-20.
- ^ "NUDOS y el IMFD impartirán un taller gratuito sobre desinformación enfocado en personas mayores". www.nudos.cl. Retrieved 2025-08-20.
- ^ a b "Telar and TelarKG: Data-Driven Insights into Chile's Constitutional Process – Communications of the ACM". 2024-07-15. Retrieved 2025-08-20.
- ^ a b "CNN Chile - Plataforma Telar". CNN Chile. Retrieved 2025-08-20.
- ^ "Ellas Programan". Ellas Programan (in Spanish). Retrieved 2025-08-20.
- ^ "Ciencia de Datos con Jocelyn Dunstan". Ciencia de Datos con Jocelyn Dunstan (in Spanish). Retrieved 2025-08-20.
- ^ "Sobre el Centro" (in Spanish). 2023-11-12. Retrieved 2025-09-16.
- ^ "Escuela Internacional en Ciencias Sociales Computacionales 2023 (IMFD-CICADA-UMAD)". cicada.uy (in Spanish). 2023-06-23. Retrieved 2025-08-20.
- ^ "UMAD – La Unidad de Métodos y acceso a Datos | Facultad de Ciencias Sociales | Universidad de la República" (in Spanish). Retrieved 2025-09-16.
- ^ "Summer Institute in Computational Social Science". sicss.io. Retrieved 2025-09-16.
- ^ "Project Overview ‹ MIT–Chile Research Workshops | Human-Centered Artificial Intelligence and Data Visualization". MIT Media Lab. Retrieved 2025-08-20.
- ^ "Chile WIC – Mujeres en Computación – Chile". Retrieved 2025-09-16.
- ^ "KHIPU". KHIPU. Retrieved 2025-09-16.