data science education

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Learning and Doing Data for Good 2022 Conference

Earlier this month the eScience Institute held the “Learning and Doing Data For Good” conference, an event for current students and alumni in university-based data for good programs, their project partners, and data science professionals. The goal was to inspire discussions and networking with others who are motivated to learn from and meet the needs […]

OceanHackweek 2022

OceanHackWeek (OHW) 2022 concluded on August 19th after five days of collaborative data exploration, peer learning, and software development. Expanding on a successful hybrid event in 2021, OHW22 was a global virtual event with six regional satellites around the world to accommodate more diverse learning environment preferences, as well as to better address the demand […]

September 1st, 2022|Categories: News|Tags: , , , , |

Evolving the Hackweek Model with ICESat-2 2022

By: Scott Henderson and Louisa Gaylord

The eScience Institute hosts a variety of hackweeks every year, which are designed to immerse participants in collaborative project work around a specific topic. Hackweeks try to blend elements of a hackathon, where participants work collaboratively in project teams, with tutorials on a variety of data science topics in an […]

Winter School 2022 Program Wrap-Up

The eScience Institute’s “Winter School on Data Science Tools” recently concluded, which was led by Senior Data Science Fellow Jose Manuel Magallanes, renowned Computational Policy Scientist from Pontificia Universidad Católica del Perú, who is a visiting professor with support from the Evans School of Public Policy and the eScience Institute. The 2022 Winter School introduced […]

Modeling and Predicting Tree Growth with Data Science

By: Louisa Gaylord

Stuart Ian Graham is a graduate student in the University of Washington’s Biology program who recently published a paper with Senior Data Science Fellow and eScience Institute Research Scientist Ariel Rokem, along with others from the University of Washington, Université de Montpellier, and University of California Los Angeles. The paper, published in the […]

Announcing the 2022 Winter Incubator Projects

By: Louisa Gaylord

The eScience’s annual Data Science Incubator program kicked off last week, which enables new research discoveries by bringing together data scientists and domain scientists to work on focused, intensive, collaborative projects. Our team of data scientists provide expertise in state-of-the-art technology and methods in large-scale data manipulation and analytics, cloud and cluster computing, […]

Data Science Minor Student Profile: Stefan de Villiers

By: Louisa Gaylord

The University of Washington hosted the Data Science Minor Showcase several weeks ago, an event for undergraduates to explore the curriculum offered as part of the Data Science Minor program that was launched in Fall 2020. The showcase featured UW faculty outlining the new courses they have developed for the Minor, personal experiences […]

  • Photo of Bonnie Due

Data Science Minor Student Profile: Bonnie Du

By: Louisa Gaylord

Last Fall quarter, the University of Washington launched the Data Science minor program to bring data science to a wide range of undergraduates within and beyond the STEM fields. Data science is incredibly versatile because it brings together scientific processes and analytical tools, like deep learning and data visualization, to extract insights from […]

  • Green graph over Washington State

Data Science for Social Good Program Launches for Summer 2021

By: Emily Keller

On June 14th, the University of Washington’s Data Science for Social Good (DSSG) summer program began with eight student fellows working on two project teams in collaboration with data scientists from the eScience Institute and project leads from academic institutions. Student fellows joined the program from colleges and universities around the country. Their […]

  • A graphic depicting the cycle of advances in data science methodologies

‘Creating Institutional Change in Data Science’ paper published

A new paper intended for academic leaders who seek to accelerate data-intensive discovery and data science education on their campuses has been released.

It is based on the experiences of the three institutions (New York University; University of California, Berkeley; and the University of Washington) in the Data Science Environments effort sponsored by the Gordon and Betty Moore Foundation and the […]