Increasing Diversity in Interdisciplinary Big Data to Knowledge
NOTE: Room Change!
The IDI-BD2K program is pleased to present a seminar:
“Exploring Data Science: Application to Biotech Manufacturing”
by
Pablo J. Rosado, PhD
Senior Engineer, Amgen
Digital Integration and Predictive Technologies
Wednesday, October 3, 2018
11:30AM-12:50PM
New Natural Sciences
NCL A-231
Rio Piedras Campus
University of Puerto Rico
Our friend and colleague, Rafa Irizarry, released a new analysis of death records recently released by the Institute of Statistics.
Using vital statistics from Puerto Rico, Louisiana, New Jersey and Florida we compared the effects of María to other recent hurricanes
We estimate about 3,000 excess deaths after María, a higher toll than Katrina. Only other comparable tragedy was after Georges, also in PR.
1/4 pic.twitter.com/xoQhswvEGa
— Rafael Irizarry (@rafalab) September 5, 2018
He has released a preprint on bioarxiv, and most of the data and all the code on github.
The IDI-BD2K project organized a Data Carpentry Genomics workshop at the University of Puerto Rico Rio Piedras Campus, sponsored by the South Big Data Hub.
The workshop was a resounding success with 35 learners registered, and 13 more on a waiting list. Attendees ranged from undergraduate and graduate students to faculty and staff. We need to do more Carpentries workshops!
Instructors were Nelly Selem from Mexico and Humberto Ortiz-Zuazaga from Rio Piedras, and a group of volunteer helpers: Eveliz Peguero, Sebastian Cruz, Israel Dilán, Abraham Avelar, and Kevin Legarreta Gonzalez.
Carpentry workshops teach foundational coding and data science skills to researchers, so they are a great match for IDI-BD2K’s goal of creating diverse teams of scientists looking at turning biological data into biomedical knowledge.
Participants learned how to manipulate next generation sequencing data to see variants in a population of E. coli. To do this, they used cloud computing resources, logged in remotely, processed files on the command line, and wrote scripts to automate parts of the analysis.
The Carpentries also disseminate best practices on teaching in STEM, as informed by research and the instructor’s experience. The green and red papers on learners desks or laptops are one example. Learners are asked to place the green paper on their laptop if they complete an exercise, and a red one if they get stuck. This feedback helps maintain an appropriate pace for the workshop. I forgot to use the stickies the first day of the workshop, and at times we went too fast.
The IDI-BD2K program is pleased to present a seminar.
“This is how it sounds like when doves cry … and coquies sing and monkeys howl and warblers tweet and …”
by
Carlos Corrada, PhD
Professor
Department of Computer Science
Rio Piedras Campus
University of Puerto Rico
Wednesday, August 29
11:30 AM – 12:50 PM
NCL A-229
New Natural Sciences Building
Rio Piedras
INCREASING DIVERSITY IN INTERDISCIPLINARY BIG DATA TO KNOWLEDGE PROGRAM PRESENTS:
THINKING LIKE A DESIGNER
4-DAY WORKSHOP
AUGUST 13TH-16TH, 2018
8:30AM-4:00PM
UPR RÍO PIEDRAS
DEPARTMENT OF COMPUTER SCIENCE ROOM A 143
This 4-day workshop will introduce students to the design thinking process through a series of hands-on collaborative activities combined with theoretical and practical lectures. Students will focus on a design challenge of their choosing and ground their process in a human need. By utilizing creative problem solving techniques, students will seek to understand the problem from the user’s perspective, generate ideas, make their ideas tangible, and gather actionable feedback. Collaboration as well as communicating their ideas and crafting a compelling narrative will be a consistent thread throughout the workshop.
FOR MORE INFORMATION:
(787) 764-0000; EXT. 88179 OR MARIMAR.VELAZQUEZ1@UPR.EDU REGISTER AT https://tinyurl.com/idi-bd2k2018
South Big Data Hub/DataUP/Georgia Tech are sponsoring a Data Carpentry Genomics workshop with IDI-BD2K in Rio Piedras August 17-18, 2018.
See the course page for details and registration:
The Meshing with Data Hackathon is June 29 – July 1, 2018 in Engine 4, Bayamón, Puerto Rico. IDI-BD2K co-sponsored the event, which seeks to develop innovative solutions to help address public health and safety issues during and after a catastrophic event such as the 2017 hurricanes in Puerto Rico.
Universidad de Puerto Rico
Recinto de Rio Piedras
Semestre: primer semestre 2018-2019
Codificación: MATE 4995 Sección 012
Título del curso- Análisis de datos masivos en aplicaciones biomédicas I (BBD1)
Profesora- Dra. Maria E. Perez
Requisitos- MATE 3026 o equivalente y CCOM 3030 o permiso de la profesora.
Este curso busca preparar al estudiante para dos objetivos fundamentales:
Estudiantes de cualquier bachillerato de Ciencias Naturales pueden matricularse.
Hoy como nunca antes la investigación biomédica está generando cantidades masivas de datos, cuyo análisis e interpretación tiene el potencial de producir dramáticos avances en nuestro conocimiento sobre la salud humana y sobre nuestra calidad de vida. El análisis de estos conjuntos masivos de datos (“Big Data”) requiere técnicas que combinan conocimientos en Biología, Química, Estadística, Ciencias de Cómputo y otras áreas.
El proyecto IDI-BD2K estará ofreciendo el curso MATE 4995 Sección 23 – Análisis de datos masivos en aplicaciones biomédicas I (BBD1) en otoño 2017. En este curso podrás aprender cómo encontrar grupos de genes sobreexpresados en una condición, como el cáncer. Puedes aprender a crear e interpretar modelos lineales que describen la respuesta a un tratamiento. Verán cómo manejar conjuntos masivos de datos genómicos y analizarlos.
Estudiantes que completen este curso y su continuación BBD2 calificarán para ir a un internado en alguno de los Centros de Excelencia de BD2K como Harvard, University of California Santa Cruz, y Pittsburgh.
Para información adicional puedes comunicarte con la Dra. Perez: maria.perez34@upr.edu
Si aun no estas preparado para tomar BBD1 y 2, asegurate que estas tomando los cursos sugeridos por los Centros de Excelencia BD2K para tu concentración consultando la tabla a continuación:
