The eScience Institute is pleased to announce data science office hours in the WRF Data Science Studio
The eScience Office Hours program is held during the UW Academic Year’s dates of instruction. For the 2019-2020 academic year, Office Hours are held during Autumn Quarter from September 25th through December 6th, during Winter Quarter from January 6th through March 13th, and during Spring Quarter from March 30th through June 5th.
The Office Hours program is not held over academic breaks, including Winter Break, Spring Break, and Summer Quarter.
Our program brings together expertise from the eScience data scientists, UW libraries, UW-IT, the Center for Statistics and the Social Sciences (CSSS), Amazon Web Services, Google Cloud Platform, MathWorks, and Tableau to help triage your challenges in data-intensive science – including cloud computing – and steer you towards appropriate solutions.
We may offer immediate help, schedule a longer meeting with our team to understand the problem more deeply, or refer you to faculty on campus with relevant expertise.
In addition to direct assistance and triage, we see office hours as an opportunity to brainstorm about data-intensive research questions and approaches.
Office hours are offered weekdays between the first day of instruction and the last day of instruction each quarter. You may email for an appointment outside of these days, but know that providers’ response times may be delayed.
Office Hours By Program or Department
eScience Data Scientist Hours
We encourage questions from any area of computing in science, but tend to focus on data management, predictive analytics, and visualization.
Our goals in running this program are to help UW broadly excel at data-intensive science while also better understanding and cataloging the challenges UW researchers face in this area, which help us inform our own collaborative research priorities. We fully expect that some of these discussions will lead to productive collaborative research opportunities.
eScience Data Scientist Hours:
UW Librarian Hours
UW librarians provide support for finding and accessing data, data management planning, data organization, reuse of data, data sharing and storage, data citation, instruction, literature review, publications, citation management tools, and more.
Data Librarian:
Research Computing
Office hours are offered to help researchers, UW IT professionals and students learn about options and opportunities in research computing. We can review UW-native systems such as Hyak, cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform, and national resources such as the XSEDE grid computing platform.
We are available to discuss cost, grant opportunities, data security, collaboration tools, system architecture and the array of tools, technologies, solutions and platforms available to help you focus on your research rather than on building or reinventing computing infrastructure. We can also help you connect with other research teams in the UW community with similar interests and experiences. Our first priority is to determine what you are working on and where your issues and challenges lie towards helping you find best solutions.
Hours:
UW-IT EIIA – Tableau & Analytics
The Enterprise Information Integration and Analytics (EIIA) team is able to provide information and support for Tableau and UW’s enterprise data offerings. Please come talk to us if you have questions about:
Tableau
- Licensing
- Use cases
- Technical issues
Enterprise Information Integration and Analytics
-
- What’s available?
- How do I get access?
- What tools can I connect with?
Hours
Center for Statistics and the Social Sciences (CSSS) Statistical Consulting
CSSS provides free statistical consulting to current UW faculty, staff, and students in affiliated departments. Our consultants offer guidance at any stage of a project from study design and planning through the selection statistical methods to the interpretation of model results. However, we recommend involving a statistician at the earliest stage possible, as this ensures the best scientific foundation for statistical analyses. Please note that CSSS consultants do not generally provide statistical software support nor do consultants run analyses for consulting clients.
Services
- Assistance with study planning and design
- Review of the analysis section of proposals and reports
- Advice on data visualization and presentation
- Assistance with the choice and application of statistical methods
- Development of specialized statistical methods
Hours
Mathworks Hours
eScience has partnered with Mathworks in order to provide students, faculty and staff support for MATLAB, Simulink and Source Control (git).
MATLAB® is the high-level language and interactive environment used by millions of engineers and scientists worldwide. It lets you explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.
Simulink® is a block diagram environment for multidomain simulation and Model-Based Design. It supports simulation, automatic code generation, and continuous test and verification of embedded systems.
Hours
Office Hours By Person
eScience Data Scientists
Expertise
- Community Engagement and Education
- Open Source Tools in the Geosciences
- Cloud Computing
- Relational Databases/SQL
David A. C. Beck
Hours
Holding joint office hours with Rob Fatland and Nam Pho on Wednesdays, from 10:00 AM – 11:00 AM.
Expertise
Biology/bioinformatics
- Structural
- Systems
- Synthetic
- C
- R
- Python
- Shell scripting
- Relational databases / SQL
- Reproducibility and Open Science
Expertise
- Python
- Matlab
- Hydrology
- Analysis of water datasets
- Remote sensing, spatial analysis
- Hydrological modeling
Expertise
- Astrophysics and cosmology
- Fourier analysis
- Statistical and mathematical modeling
- Monte Carlo simulations
- Version control (Git/GitHub)
- Reproducibility and open science
Programming:
- Python
- SQL
- IDL
- Java
Expertise
- Python
- Satellite imagery
- Geospatial raster and vector data
- Amazon Web Services, Kubernetes
-
Jupyter Notebooks, Pangeo JupyterHubs
Expertise
- Python, R, Scala
- Machine learning
- Interpretable models
- Data visualization (D3.js, Leaflet, Shiny)
- Version control (Git/GitHub)
- Reproducibility and open science
Expertise
- C
- R
- Python
- Bash
- SQL
- Software design
- Web server design
- Reproducibility and open science
Expertise
- R/Python
- SQL
- Version Control (Git/GitHub)
- Statistical modeling
- Causal inference
- Data visualization
Expertise
- Metagenomics, Genome assembly and annotation
- C (including OpenMP)
- Javascript / Coffeescript
- Go (golang)
- Shell (Bash, Awk)
- NoSQL databases (esp. MongoDB)
- Visualization (eg. GraphViz, d3.js)
- Data compression
Expertise
-
Python
-
Git/GitHub
-
Cloud computing
-
Machine learning
-
Neuroinformatics
Expertise
- R
- Python
- MATLAB
- Statistical Modeling & Inference
- Data Analysis
- Image Processing & Computer Vision
- Optimization
- Reproducibility and Open Science
Expertise
- Ecology and conservation
- Geospatial data and GIS
- Statistics
- R, Python, shell scripts
- Data storage and databases
Expertise
- R, Python
- SQL
- Predictive Modeling
- Natural Language Processing
- Causal Inference
- Version Control (Git/ Github)
Expertise
- Ethnography
- Qualitative methods
- Data science ethics
- Human-centered data science
UW Librarians
Expertise
- Data management plan guidance
- Data citation
- Data curation and archiving
- Data repositories
Expertise
- Data management plans
- Data curation, sharing and archiving
- Persistent identifier assignment
- Navigating funder mandates
- ResearchWorks Archive
Expertise
- R, Python
- SQL
- Predictive Modeling
- Natural Language Processing
- Causal Inference
- Version Control (Git/ Github)
Expertise
- Data visualization: Tableau, RAWGraphs, Power BI
- Data collection tools: REDCap, Survey Gizmo, Qualtrics
- Data preparation and cleaning: OpenRefine, Excel
- Data management plan guidance
- Data literacy
Research Computing
Rob Fatland
Hours
Holding joint office hours with David Beck and Nam Pho on Wednesdays, from 10:00 AM – 11:00 AM.
Expertise
- Networking: Finding resources, collaborators, help
- Data science design patterns
- Data visualization
- Geophysics, emphasis on hydrosphere
- Remote sensing
- Embedded systems / IOT / ruggedizing
- Translating from research to public utility
- STEM education and public outreach
Nam Pho
Hours
Holding joint office hours with David Beck and Rob Fatland on Wednesdays, from 10:00 AM – 11:00 AM.
Expertise
- R
- Python
- High-performance computing (HPC)
- Reproducibility and open science
Expertise
- Cloud data migration and computing
- Earth Systems Modeling
- Data visualization
- Reproducible Solutions
Charlie Engelke
Hours
Google Cloud Platform hours are by appointment, email cloud-office-hours-uw@google.com to schedule.
Expertise
- Google Cloud Platform
- Serverless Software
- Python
- Software Architecture
Amazon Web Services
Amazon Web Services (AWS)
Office Hours
Email Dominic Young, Inside Account Manager – Enterprise Higher Education, at domyuon@amazon.com to schedule an appointment Monday through Friday.
Expertise
“Ask an AWS architect”: come to AWS office hours with your code, architecture diagrams, and your AWS questions at the ready! You will have access to deep technical expertise and will be able to get guidance on AWS architecture, usage of specific AWS services and features, cost optimization, and more.
UW-IT Enterprise Data and Analytics Participants
Nina Velikin
System Analyst, IM
Data Delivery Group
Hours:
The eScience Office Hours program will be on hiatus during the summer quarter. Please check back in the fall for a full schedule of providers and hours offered.
- Tableau
- Business Intelligence
- UW Enterprise Data
Center for Statistics and the Social Sciences (CSSS) Statistical Consulting
Expertise
- Model selection and evaluation
- Spatial/Spatiotemporal statistics and models
- Experimental design
- Data visualization
Mathworks
By appointment.
In-office hours are currently cancelled, but you can still receive support by calling 508-647-7000 or emailing support@mathworks.com.