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CRISPR, AI, and the Ethics of Scientific Discovery

Reserved seats (free) have been "sold out." Limited general admission will be available at the door. We'll also be livestreaming the event here.

Twin revolutions at the start of the 21st century are shaking up the very idea of what it means to be human. Computer vision and image recognition are at the heart of the AI revolution. And CRISPR is a powerful new technique for genetic editing that allows humans to intervene in evolution.

Research as Praxis: Research Positionality

This workshop series is designed for Stanford graduate students interested in learning more about and developing their skills in community-engaged scholarship and community-based research. Invited speakers include leaders and practitioners across disciplinary fields. Sessions will be held over lunch. Please check the website for location confirmation: haas.stanford.edu.

Please RSVP here for an accurate headcount for food.

Publishing, Presenting, and Finding Funding for Community-Engaged Research

Thriving as a Community Engaged Scholar: A Professional Development Series for Graduate Students is a series designed for Stanford graduate students interested in exploring both academic (tenure-line) and alternative academic career paths with a focus on community-engaged research.

November Focus: Publishing, Presenting, and Finding Funding for Community-Engaged Research

In this session, Dr. Antero Garcia will provide guidance and answer questions about publishing and presenting research and finding funding as a community engaged scholar.

Reproducible Research with R : Data Demo by Claudia Engel

Data Demo by Claudia Engel at 2019 Gear Up for Social Science Data Extravaganza 

The goal of reproducible research is to improve scholarship by documenting data, code, and methods so results can be replicated and be subjected to scrutiny. R supports reproducible research through the creation of documents that combine content and code. This session will provide an overview of how to generate these documents and review some of the relevant R packages.

Qualitative Research Tools: NVivo, Taguette, Python : Data Demo with Alesia Montgomery

Data Demo for Qualitative Data Research: NVivo, Taguette, Python

Do you have “unstructured data” (e.g., government documents, interview transcripts, site videos) that you want to analyze qualitatively? Are you unsure about which tools fit your needs (small or large dataset, solo or team project) and how to use them?

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