{"id":705,"date":"2024-05-22T01:27:56","date_gmt":"2024-05-22T01:27:56","guid":{"rendered":"https:\/\/www.redconare.ac.cr\/?page_id=705"},"modified":"2024-05-22T01:27:56","modified_gmt":"2024-05-22T01:27:56","slug":"crbds2022","status":"publish","type":"page","link":"https:\/\/www.redconare.ac.cr\/en\/crbds2022\/","title":{"rendered":"Costa Rica Big Data School 2022"},"content":{"rendered":"
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Costa Rica Big Data School 2022<\/h2>

Costa Rica National High Technology Center<\/h2>

December 5-9, 2022<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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The Costa Rica National Research and Education Network: RedCONARE and the Costa Rica National High Technology Center (CeNAT) are proud to host the sixth Costa Rica Big Data School 2022.<\/p>

This school will be hands-on style. Working with live coding in conjunction with lectures discussing the art of scientific programming, algorithm design, and data science. Instructors will guide attendees through the Computational Research cycle. Students will participate in a coding challenge to develop a computational model writing code in Python, generate data to verify and validate information, applying machine learning techniques to the data set and find interesting outcomes and revalidate the data.<\/p>

We hope you enjoy what we have prepared, and take full advantage of this exciting event.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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M.Sc. Carlos Gamboa Venegas<\/strong>
RedCONARE Scientific Coordinator
Costa Rica Big Data School Chair<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Instructors<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Je\u2019aime Powell<\/h3>

Systems Administrator & Technical Research Design Analyst<\/h4>

Texas Advanced Computing Center<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Biography<\/strong>: Je\u2019aime Powell currently works as a Senior Systems Administrator and Technical Research Design Analyst at the Texas Advanced Computing Center(TACC) within the University of Texas at Austin. While supporting high-performance computing users, he also leads hackathons, STEM-based high school summer camps, and facilitates related training sessions. His research in the fields of Intelligent Systems and Decision Systems Support with a focus on the development of adaptive IoT environmental sensors. He holds both a Master\u2019s degree in Applied Mathematics with a Concentration in Remote Sensing and a Bachelor\u2019s in Computer Science from Elizabeth City State University.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Charlie Dey.\u00a0B.A.<\/h3>

Director, Training And Professional Development<\/h4>

User Services\u00a0 Texas Advanced Computing Center<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Biography<\/strong>: Charlie is the Director of Training and Professional Development with the User Services group at TACC with a background in web development and scientific computing. Charlie\u2019s responsibilities at TACC include organizing, developing content, and building curriculums for TACC\u2019s academic course selection taught in conjunction with several departments at the University of Texas at Austin, as well as for TACC\u2019s professional development and educational training. Prior to joining TACC, he worked as a Senior Application Developer for the Carle Foundation, and as a computer science instructor at Parkland College in Champaign, IL. He was also a member of a specialized application development team at the University of Illinois and has also been a contracted research consultant for NASA Ames Research Center, studying computational immunology and bioinformatics. Charlie holds a Bachelor\u2019s Degree concentrating in Computer Science and Biology from Eastern Illinois University, and certifications in 3D programing and visualization.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Keynote Speakers<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Sa\u00fal Calder\u00f3n\u00a0Ram\u00edrez<\/h3>

Researcher and Professor<\/h4>

Tecnol\u00f3gico de Costa Rica<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Biography:<\/strong><\/p>

\u2022 Ph. D. in Computer Science, De Montfort University (DMU), United Kingdom.
\u2022 Magister Scientae in Electrical Engineering with a specialization in digital systems, University of Costa Rica (UCR).
\u2022 Bachelor of Computing and Informatics, University of Costa Rica.
\u2022 Data science department coordinator, Spartan Approach.
\u2022 Interests: Digital signal processing (sound, images, video), Natural Language Processing, Deep Learning, pattern recognition, machine learning.
\u2022 Coordinator of the Pattern Recognition and Machine Learning Group (PARMA-Group)
\u2022 Publications: Around 40 articles in international conferences (ICIP, IJCNN, etc.) and journals (IEEE Transactions on Artificial Intelligence, Applied Soft Computing, etc.), in the area of \u200b\u200bdigital signal processing, pattern recognition and deep learning.
\u2022 Courses taught: Introduction to pattern recognition laboratory, School of Electrical Engineering, UCR. Introduction to the automatic analysis of soccer videos, University of Buenos Aires, Argentina. Parallel Programming with OpenCL, Latin American Conference on High Performance Computing 2013 (CLCAR-2013), Introduction to Programming, Introduction to Pattern Recognition, Machine Learning, Neural Networks, Deep Learning Analog Design Laboratory, Operations Research, Process Quality Assurance software, and programming languages \u200b\u200bat the TEC school of computing.
\u2022 Professional experience: Intel: research and development, Search Technologies: Big Data consultant, Researcher at the Center for Research in Information and Communication Technologies (CITIC), Image Processing and Computer Vision group (UBA, Argentina) and the Pattern Recognition and Intelligent Systems Laboratory (PRIS-Lab), among others.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Niall Gaffney<\/h3>

Director Of Data Intensive Computing<\/h4>

Data Management & Collections; Scalable Computational Intelligence<\/h4>

Texas Advanced Computing Center<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Biography<\/strong>: Niall Gaffney\u2019s background primarily revolves around the management and utilization of large inhomogeneous scientific datasets. Niall, who earned his B.A., M.A., and Ph.D. degrees in astronomy from The University of Texas at Austin, joined TACC in May 2013. Most of his focus has been on creating environments to foster better data practices from improving metadata, data processing, analysis, and reuse. He focuses on improving researchers\u2019 data practices to accelerate outcomes and better feed the Machine Learning and Artificial Intelligence applications which are becoming more broadly adopted in science and engineering research fields.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Lilliana Sancho\u00a0Chavarr\u00eda<\/h3>

Profesora, investigadora de la Escuela de Ingenier\u00eda en Computaci\u00f3n<\/h4>

Instituto Tecnol\u00f3gico de Costa Rica<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Biograf\u00eda:\u00a0<\/strong>Profesora, investigadora de la Escuela de Ingenier\u00eda en Computaci\u00f3n del Instituto Tecnol\u00f3gico de Costa Rica.\u00a0 Actualmente es Coordinadora de la Unidad de Posgrados de Computaci\u00f3n.\u00a0 Es Ingeniera en Computaci\u00f3n (TEC), tiene una Maestr\u00eda en Ciencias de la Computaci\u00f3n (University of Oregon, USA) y Doctorado en Ingenier\u00eda (TEC-UCR).\u00a0 En el pasado fue l\u00edder y directora de proyectos de desarrollo de software en el \u00e1mbito privado. Ha realizado investigaci\u00f3n en visualizaci\u00f3n de la informaci\u00f3n, ingenier\u00eda de software educativo, aplicaciones de la inform\u00e1tica para la conservaci\u00f3n de la biodiversidad y pensamiento computacional.<\/p>

Resumen de la charla<\/b>: Se ofrece una perspectiva de la visualizaci\u00f3n de informaci\u00f3n para el desarrollo de pensamiento computacional y, particularmente, del an\u00e1lisis de c\u00f3digo fuente de ejercicios de programaci\u00f3n de estudiantes para analizar comprender su capacidad de desarrollo de pensamiento computacional.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Sof\u00eda Ulloa<\/h2><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Biograf\u00eda: g<\/strong>raduada de ingenier\u00eda en biotecnolog\u00eda del Instituto Tecnol\u00f3gico de Costa Rica. Durante sus estudios de pregrado y posterior a estos se dedic\u00f3 a la investigaci\u00f3n cient\u00edfica en el \u00e1rea de prote\u00ednas y vacunas. Posteriormente, obtuvo su maestr\u00eda en Investigaci\u00f3n Biom\u00e9dica de la Universidad de Navarra (Espa\u00f1a) en donde estudi\u00f3 posibles tratamientos virales contra el c\u00e1ncer. Desde el 2018 se ha dedicado al an\u00e1lisis de datos de industria farmac\u00e9utica mediante el montaje de visualizaciones para la interpretaci\u00f3n de resultados haciendo uso de herramientas de visualizaci\u00f3n de datos como Spotfire y Tableau y manejo de datos con python.<\/p>

Fundadora de \u201cDateando con Sof\u00eda\u201d un espacio de difusi\u00f3n en espa\u00f1ol sobre ciencia de datos con recursos para adquirir conocimientos y herramientas de utilidad en el \u00e1rea.<\/p>

Asociada de Data Mujer. Es amante del aprendizaje continuo, la naturaleza, la comida y tomar siestas.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Ana Paola Mora Murillo<\/h3>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Biograf\u00eda<\/strong>: Tiene 18 a\u00f1os y es una programadora apasionada por facilitar la vida del ser humano e innovar a trav\u00e9s de la tecnolog\u00eda. Desde peque\u00f1a, ha mostrado inter\u00e9s por la inform\u00e1tica y, actualmente, ha buscado aprender cada vez m\u00e1s. Ha empezado por su cuenta y se le han presentado diversas oportunidades, gracias a ellas ahora tiene conocimientos en desarrollo web y lleva una certificaci\u00f3n en Ciencia de Datos. Asociada de Data Mujer.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Agenda<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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FECHA & HORA<\/th>\n Monday 5<\/th>\n Tuesday 6<\/th>\n Wednesday 7<\/th>\n Thursday 8<\/th>\n Friday 9<\/th>\n <\/tr>\n <\/thead>\n
09:00 \u2013 10:45<\/td>\n Opening<\/td>\n Python Object<\/td>\n Running a model<\/td>\n Machine Learning<\/td>\n Challenge<\/td>\n <\/tr>\n
10:45 \u2013 11:00<\/td>\n Break<\/td>\n <\/tr>\n
11:00 \u2013 12:00<\/td>\n Team Creation Computation Thinking<\/td>\n Main Keynote Speaker: Niall Gaffney, TACC<\/td>\n Keynote: \u201cData Quality for Deep Learning\u201d Speaker: Sa\u00fal Calder\u00f3n, Dr<\/td>\n Keynote: La visualizaci\u00f3n de informaci\u00f3n como instrumento para el desarrollo de pensamiento computacional. Speaker: Lilliana Sancho, Dra<\/td>\n Keynote: Ciencia de datos: perspectiva generacional de dos mujeres en el \u00e1rea. Speakers: Sof\u00eda Ulloa & Ana Paola Mora Murillo<\/td>\n <\/tr>\n
12:00 \u2013 13:00<\/td>\n Lunch<\/td>\n <\/tr>\n
13:00 \u2013 14:45<\/td>\n Jupyter Notebooks<\/td>\n Python Interactions<\/td>\n Dataset creation<\/td>\n Beginning of Model Analysis Challenge<\/td>\n Challenge Completion<\/td>\n <\/tr>\n
14:45 \u2013 15:00<\/td>\n Break<\/td>\n <\/tr>\n
15:00 \u2013 17:00<\/td>\n Python Primer<\/td>\n Python Interactions<\/td>\n Dataset creation<\/td>\n Challenge<\/td>\n Teams Report Out Findings<\/td>\n <\/tr>\n <\/tbody>\n <\/table>\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Tuition fee<\/h3>

Participation is free. There are no tuition costs associated with participating in this school for those affiliated to CONARE institutions.<\/p>

Maximum quota<\/h3>

The maximum quota is 50 participants.<\/p>

Inscription<\/h3>

The following\u00a0form<\/a>\u00a0has to be fully filled before November 4th. Accepted participants will be notified via email on Monday 7th.<\/p>

Important dates:<\/h3>
  • The closing of the application process to the School: November 4th.<\/li>
  • Notification of acceptance\/rejection in the participation of the School: November 7th.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    Requirements<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    Being a student, teacher or researcher of any public university (UCR, TEC, UNA, UNED, UTN), from CONARE or any of its ascribed programs: CeNAT, PEN and SINAES.<\/p>

    Also, we are admitting functionaries of the Ministries and Public Entities of the Government of Costa Rica. (Limited spaces)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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    Have an intermediate English knowledge (reading and hearing). All of the presentations and exercises are going to be in this language.<\/p><\/div><\/div>

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    Having basic programming skills with Python and basic Linux handling.<\/p><\/div><\/div>

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    Organizers<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    \n\t\t\t\t\t\t\t\t\tRedCONARE is the Costa Rica National Research and Education Network (NREN). It provides technical infrastructure and communication services like eduroam, Mconf, LA Referencia, and the Colaboratorio, among others. The NRENs or Advanced Networks are common spaces that the universities research community has among the world to enhance their knowledge and contributions to humanity. In Costa Rica, RedCONARE has been positioning as a research space and join collaboration among its members.\n\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    \u00a0<\/p>

    The Advanced Computing Laboratory (CNCA) at Costa Rica High Technology Center (CeNAT) is a multidisciplinary space where scientific discovery is accelerated through an advanced computing infrastructure. This infrastructure includes not only specialized and updated hardware, but also a set of efficient applications and well-trained staff in order to take advantage of all the technology. This allows CNCA to work in the main dimensions of research, project development, training, and services provision.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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    \n\t\t\t\t\t\t\t\t\tTACC inspires and educates the next generation of computational scientists and technologists and increases the public\u2019s understanding of the roles computing and science play in shaping our society. To educate the next generation of researchers and computational professionals, TACC developed a unique scientific computing curriculum for The University of Texas at Austin.\n\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    Location<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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