Events
The Open House Introducing the new Master of Science in Data Science degree has been changed to a VIRTUAL Open House.
Read more “Virtual Open House for new MS in Data Science 4/1”
Events
What does it mean to be a “Data Scientist”? It’s hard to tell the difference between data-science hype and reality. Learn from leading data scientists what’s real and what they’re excited about at a screening of the documentary film “Data Science Pioneers” at the Cosford Cinema on Tuesday, February 25, 2020 | 6:00-8:30 PM Runtime: 61m Read more “Data Science Pioneers Documentary Screening 2/25/2020”
Events
Data Intersections is an annual symposium featuring speakers from the fields of data science, statistics, data journalism, and the digital humanities. The 2020 session theme is “Conversations About the Ethics of Data, Technology, and Design.” Speakers include: Mike Monteiro @monteiro on the design of technologies, and Heather Krause @datassist on the ethics of data analysis and gender. Join us on Thursday, February 13, 2020 at the Newman Alumni Center 3:00-7:00 PM. This event is free and open to the public. Registration opens at 2:30 PM.
Events
Artificial intelligence (AI) has great potential to augment the clinician as a virtual radiology assistant (vRA) through enriching information and providing clinical decision support. Deep learning is a type of AI that has shown promise in performance for Computer Aided Diagnosis (CAD) tasks. A current barrier to implementing deep learning for clinical CAD tasks in radiology is that it requires a training set to be representative and as large as possible in order to generalize appropriately and achieve high accuracy predictions. Read more “Yelena Yesha Lecture 2/5/2020 on Medical Imaging”
Events
Can data science promote opportunity, equality, and equity? Hear from three distinguished speakers focused on research that addresses these issues. Read more “SSI Lecture Series “Gigabytes for Good” 11/1/2019″
Friday, 11/1/2019, 3-4:30 PM | Otto G. Richter Library 3rd Floor Conference Room, 1300 Memorial Drive, Coral Gables, FL 33146
Can data science promote opportunity, equality, and equity?
Hear from three distinguished speakers focused on research that addresses these issues.
This event is free and open to the public. Refreshments will be served.
 |
Nick PetersenAssistant Professor, Sociology, College of Arts & Sciences |
 |
Robert LathamAssociate Director, School of Law’s Children & Youth Law Clinic |
 |
Lynn K. PerryAssistant Professor, Psychology, College of Arts & Sciences |
This lecture is part of a series presented by the Center for Computational Science Social Systems Informatics (SSI) group. SSI focuses on understanding of the nature of social interaction using the techniques and methods of data science. For more information, visit ccs.miami.edu/ssi, email ccs@miami.edu, or call 305.243.4962.
Richter Library Visitor Parking in YELLOW
Events
Can data science promote opportunity, equality, and equity? Hear from three distinguished speakers: Nick Petersen, Robert Latham, and Lynn K. Perry, who are focused on research that addresses these issues. Read more “SSI Lecture Series: “Gigabytes for Good” 11/1/2019″
News
Across the University of Miami’s three campuses, faculty and students are immersed in research aimed at providing shape and solutions to some of the world’s most pressing issues. Helping to solve some of the riddles is the use of data science—big batches of information filtered through high-performance computers that aid researchers in their efforts to decipher complex formulas and create predictive applications. Here’s a look at some of the ongoing work: Read more “Snapshots of Data Science in Action”
News
Data. Although it is a short word, often dismissed as numbers or statistics, it follows us everywhere today. From the steps that we take, to our traffic patterns and driving speeds, to identifying our genomic sequence and even our daily purchasing habits. And more each day, governments, schools, and businesses are seeing the benefits of this information. Read more “Plotting the Future Through Data”
Events - Past
In this session, we will examine the opportunities for decision making while building a data analysis pipeline and follow the consequences of those decisions for the interpretability of the results. In addition, we will dive into examples of various types of bias, as well as examples of assumptions made in data collection, in implementation and in statistical modeling. Read more “Data Science Study Group: South Florida Thursday 2/8/2018”