home / csvconf

talks

Data source: https://csvconf.com/

2 rows where room = "Main Sanctuary" and time = "11:00 AM" sorted by time descending

View and edit SQL

url

room

Link rowid title speaker time ▲ day room url datetime abstract image
6 Data & Social Justice Dan Phiffer 11:00 AM May 8 2019 Main Sanctuary https://csvconf.com/speakers/#dan-phiffer 2019-05-08T11:00:00 This talk will provide an overview of the course I'm currently teaching at Bennington College called Data & Social Justice. I'll outline some of the issues my students have been organizing around, as well as techniques they've developed for doing outreach, using data visualization to support their causes, and describing how I've supported their efforts through my own faculty activism. n.b., I'm only halfway through the semester, but there is already plenty of material for a talk. https://csvconf.com/img/speakers-2019/dphiffer.jpg
34 Open Infrastructure for Open Science: How Binder Powers an Open Stack in the Cloud Chris Holdgraf 11:00 AM May 9 2019 Main Sanctuary https://csvconf.com/speakers/#chris-holdgraf 2019-05-09T11:00:00 This talk will discuss the Binder Project in the context of open data and open science, two primary use-cases that have driven the project. It will cover the basics of the Binder Project, such as how to define a reproducible repository to share with others. It will then discuss one of Binder's core goals, which is to build on open standards to facilitate the use of *many* open languages, interfaces, etc. Finally I'll discuss how BinderHub, the technology behind a Binder deployment, is itself open source and deployable anywhere. I'll finish by describing a goal of distributed, federated BinderHubs that provide a network of reproducible data analytics environments. https://csvconf.com/img/speakers-2019/choldgraf.jpg

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE TABLE [talks] (
   [title] TEXT,
   [speaker] TEXT,
   [time] TEXT,
   [day] TEXT,
   [room] TEXT,
   [url] TEXT,
   [datetime] TEXT,
   [abstract] TEXT,
   [image] TEXT
)
Powered by Datasette · Query took 5.71ms · Data source: https://csvconf.com/