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adapting ideas and tools from other fields to your own work

Big Earth Hackathon: Two-day data science competition

Date/Times: April 14 - 7:30am through April 15 - 2:00pm

Find solutions to global sustainability challenges at Stanford's inaugural Big Earth Data Hackathon, a 2-day data science competition.

Space limited. Register Now!

* Mentors and workshops on-site for assistance* Solve your own problem or tackle a defined problem from an industry leader/faculty member* Teams of 1-4. Come with or without a team!* Food including meals, snacks, and caffeine is provided!

Big Earth Hackathon: Two-day data science competition

Date/Times: April 14 - 7:30am through April 15 - 2:00pm

Find solutions to global sustainability challenges at Stanford's inaugural Big Earth Data Hackathon, a 2-day data science competition.

Space limited. Register Now!

* Mentors and workshops on-site for assistance* Solve your own problem or tackle a defined problem from an industry leader/faculty member* Teams of 1-4. Come with or without a team!* Food including meals, snacks, and caffeine is provided!

Languages About Music: 2018 Stanford Graduate Music Colloquium

A conversation space for scholars throughout the humanities and sciences, to share and exchange different ways of talking about and engaging with music

How do we talk about music and sound? What is the language that we use to describe music? What makes music an interesting object of inquiry? Each discipline brings with it new approaches and methodologies for answering these questions. Come and join a day of interdisciplinary conversation exploring music and its many languages.

CCSRE Faculty Seminar Series | "Race Talk Across the Disciplines: Four Stanford Scholars Examine the Semantics of a Troubled Term"

What is “race”? What is “ethnicity”? This special panel event brings together four CCSRE scholars talking about how they understand the terms “race” and “ethnicity” from their own disciplinary perspectives. Participants include Tomás Jiménez (Sociology), Marci Kwon (Art & Art History), Grant Parker (Classics), and Mélanie Lamotte (Mellon Post-Doc in CCSRE). The panel will be moderated by Paula Moya (English).     

Gear Up for Social Science Data Extravaganza

Discover: Social science data sources for your researchMeet: Subject Librarians & Data Provider Representatives at GSB Workshops & the Green Library Data ExpoAttend: Data Talks, Workshops and Demos, Tour the David Rumsey Map CenterWhere: Graduate School of Business Library (GSB) & Green Library

Graduate School of Business Library (Bass Center) from 9:00AM-12:00PMWorkshops and information sessions include:

Data Manipulation with Python

This workshop teaching basic data manipulations with Python using the Pandas library, and will cover topics such as loading data into a Pandas DataFrame, performing basic cleaning and analysis, and visualizing relevant aspects of a dataset. To learn these skills concretely, we will work with a dataset of tweets collected during the release of the Apple Watch.

Health Policy Forum | How far should scientists go with data sharing? A debate about open science

Scientists are facing increasing calls to be more transparent with their methods, study results, and data. Advocates of open science believe that more broadly sharing data will improve the application and replicability of research, but critics warn of unintended consequences. This health policy forum features two distinguished speakers–PJ Devereaux, MD, PhD, FRCPC, Director of the Division of Cardiology at McMaster University, and Nigam Shah, MBBS, PhD, Associate Professor (Biomedical Informatics Research) and of Biomedical Data Science, Stanford–who will p

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