Events

Wed
22

How to Share Research Data to Meet Requirements and Promote Open Knowledge

January 22, 2020, 11am-noon
If you are funded by the NIH, HHMI, or Gates Foundation, or plan to publish in PLOS, PNAS, Science or Nature it is very likely that you will be asked to make your research data publicly available. This is part of a global effort to make research results more transparent, reproducible, and equitable. But what data do you share and how exactly should you share it? The goal of this mini workshop is to get you up to speed with these new requirements and help you work reproducible and painless data...
Wed
22

Brittany Chambers: Child and Adolescent Psychiatry Grand Rounds

January 22, 2020, noon-1pm
Brittany Chambers, PhD, MPH Assistant Professor Department of Epidemiology and Biostatistics UCSF School of Medicine ---------- Remote live streaming locations: UCSF Benioff Children's Hospital Oakland: 5275 Claremont Ave. Parnassus: LP-190 Auditorium ---------- Grand Rounds presentations are for educational purposes and intended for a professional audience only.
Wed
22

Recent Bayesian Approaches for Analysis of Neuroimaging Data

January 22, 2020, 3-4pm
Raquel Prado, PhD, UC Santa Cruz
Wed
22

Recent Bayesian Approaches for Analysis of Neuroimaging Data

January 22, 2020, 3:00 to 4pm
Raquel Prado, PhD, Department of Statistics, Baskin School of Engineeing, University of California Santa Cruz
Wed
29

Modeling Dynamic Changes of Brain Based on Neuroimaging Data

January 29, 2020, 3:00 to 4pm
Lexin Li, PhD, Professor, Department of Biostatistics and Epidemiology & Helen Wills Neuroscience Institute, University of California, Berkeley
Wed
05

DEB Diversity, Equity, Inclusion (DEI) Workshop

February 5, 2020, 9:30-11AM
Session #3 -Understatanding Positional Power to Enhance Allyship:
Thu
06

Advanced computational methods with UCSF clinical data on Information Commons

February 6, 2020, 3-5pm
Getting ready to apply Machine Learning and other advanced computational methods to your research? You can do it with UCSF Information Commons, a high performance compute environment powered by AWS Apache Spark cluster. In this hands-on workshop, we will go through a real case study to explore de-identified UCSF Electronic Health Records using UCSF Information Commons.
Wed
19

Training Procedures and Regulatory Policies For Safe Machine Learning Models in Healthcare

February 19, 2020, 3:00 to 4pm
Jeng J. Feng, PhD Student, University of Washington
Thu
20

360-Degree Automated Characterization of the Built Environment

February 20, 2020, 10-11a
Quynh Nguyen, PhD, Asst Professor of Epidemiology and Biostastics, U Maryland School of Public Health