Join us on Thursday, May 20, as we welcome Marjorie McShane, Associate Professor, Rensselaer Polytechnic Institute Cognitive Science Department, and Co-Director of the Language-Endowed Intelligent Agents (LEIA) Lab for a talk on artificial intelligence and language processing. Read more “Data Citizens: A Distinguished Lecture Series presents Marjorie McShane 5/20”
Data Citizens is a series of in-depth talks by experts in the field of data science on a wide variety of topics including data visualization, big data, artificial intelligence, and predictive analytics. Join us on Thursday, May 6, 2021, as we welcome Nilam Ram Professor of Psychology and Professor of Communication from Stanford University for a talk on ‘screenomics’. Read more “Data Citizens: A Distinguished Lecture Series presents Nilam Ram 5/6”
Continuing our “Meet a Data Scientist” series, join us on Thursday, April 22, 2021 (3:30-4:30 PM), for a discussion with interdisciplinary developmental psychologist and IDSC Director of Social Systems Informatics Dr. Daniel Messinger offering a glimpse of how he uses data in his research. Read more “Meet a Data Scientist-Daniel Messinger 4/22”
If you have ever wondered what data scientists do, IDSC is giving you an opportunity to learn about this important, multifaceted profession. On Thursday, March 25, 2021, IDSC is hosting the sixth session in the “Meet a Data Scientist” series with Miami Herbert Business School Marketing Professor, Dr. Joseph Johnson. Read more “Meet a Data Scientist Lecture Series: Joseph Johnson 3/25”
Join us for a lively conversation about the intersection of business strategy and artificial intelligence (AI). The SingularityU Miami Chapter wraps its three-part online/Zoom artificial intelligence series with two seasoned experts: Philip Evans, Senior Advisor and Fellow at Boston Consulting Group (BCG), and Roy Lowrance, Founder and CEO of Applied Data Science, LLC. Read more ““Best Practices in Applied AI” with Philip Evans and Roy Lowrance 3/18″
Dr. Ken Goodman opened the fourth session in the Meet A Data Scientist lecture series on January 13, 2021 from 4:00-5:00 PM with a talk on how data science works to reduce ignorance, uncertainty, and the harboring of false beliefs, and to correct previous mistakes. Read more “Catch the Replay: Meet A Data Scientist with Dr. Ken Goodman”
The third Meet a Data Scientist talk took place on December 9, 2020 (original event entry). Opening with a parallel to the writings of Enlightenment-era thinker John Locke on the changes in property and governance and shift to capitalism at that time as it relates to data science in making today’s world a better place, Read more “Catch the Replay: Meet a Data Scientist with Tim Norris”
If you missed the second speaker in the new Data Citizens: A Distinguished Lecture Series, you can watch it now. Scholar and author Deborah Stone, PhD, Director, spoke on numbers and counting, how we label things, and how important the human element is in attributing meaning to data. Read more “Catch the Replay of Deborah Stone’s Data Citizens Lecture”
The second Meet a Data Scientist talk, given on November 18, 2020, featured Dr. Ben Kirtman, a Professor of Atmospheric Sciences at the University of Miami Rosenstiel School of Marine and Atmospheric Science. Dr. Kirtman uses atmosphere-ocean general circulation models to study the predictability and variability of the Earth’s climate system. Dr. Kirtman also teaches graduate courses on the general circulation of the atmosphere and El Niño/Southern Oscillation, and climate prediction and predictability. Originally from Santa Barbara, California, Dr. Kirtman shared a funny story about his early start with computers and his (harmless) hacking efforts that got also his [also brilliant] Dad in a little ‘hot water’. Relating subsequently having to monitor flooding in his basement (related to El Niño) as a punishment, he’s come a long way! He’s understandably proud of the fact that the University of Miami has been the lead in the multi-agency, multi-institutional effort to improve NOAA’s seasonal and sub-seasonal operative forecasts since 2015. His NMME (North-American Multi-Model Ensemble, on the chart below in light pink NCAR_CCSM4) forecasting system consists of coupled models from US modeling centers including NOAA/NCEP, NOAA/GFDL, IRI, NCAR, NASA, and from Canada’s modeling center. It has proven extremely effective at quantifying prediction uncertainty due to uncertainty in model formulation, and has proven to produce better prediction quality (on average) than any single model ensemble.
The talk went from touching on the disparate data sources that go into forecasting El Niño and La Niña, to using machine learning to capture the Gulfstream’s interactions with the atmosphere (parameterization/parametrization), and ended with questions from the audience on the future of machine learning in climate prediction.
Dr, Kirtman concluded by emphasizing that “What question are you trying to solve?” should drive what data/methods you use. He conveyed that new climate model(s) will be a blend with machine learning, which may lead to breakthroughs on how models work.
Dr. Kirtman also teaches dynamic meteorology and atmospheric thermodynamics to undergraduates, and he mentors graduate students in the Meteorology and Physical Oceanography graduate program, as well as post-doctoral researchers.
His research is a wide-ranging program designed to understand and quantify the limits of climate predictability from days to decades. His research also involves understanding how the climate will change in response to changes in anthropogenic (e.g., greenhouse gases) and natural (e.g., volcanoes) forcing. This research involves hypothesis testing numerical experiments, using sophisticated state-of-the-art climate models and experimental real-time prediction. His group uses and has access to a suite of climate models, climate data, and high-performance computational platforms.
IDSC is pleased to announce the second distinguished lecture in the Data Citizens series, scholar and author Deborah Stone, PhD. Professor Emerita at Brandeis University, Dr. Stone is a political scientist whose work spans public policy, sociology, philosophy, and law. Read more “Data Citizens: A Distinguished Lecture Series presents Deborah Stone”