escience_datasciencestudies -- List for the eScience Institute Data Science Studies Working

 

About escience_datasciencestudies
English (USA)

UW Data Science Studies is a group of cross-disciplinary researchers studying the sociocultural and organizational processes around the emerging practice of data science. As a sub-field of Science and Technology Studies, we utilize a variety of qualitative and computational methods to understand the changing scientific practices, knowledge infrastructures, and cultural values that are shaping the environment for data-intensive scientific research. This encompasses, but is not limited to research focused around topics such as: the cultural and institutional contexts for open science, open software, and open data, tool building and scientific workflow, new pedagogical models for data science education, how disciplines are adapting to the demands of data-intensive science, new epistemologies and social implications of data-intensive science, human-centered data science, and studies of sociotechnical data science ecosystems. UW Data Science Studies is part of a collaborative and multi-sited working group supported through the Moore-Sloan Data Science Environments and in partnership with researchers at Berkeley Institute for Data Science and the Center for Data Science in New York University.

We invite participation from anyone who may be interested in these areas of study or in any kind of reflexive research around data science. The working group meeting will be a place to convene once a month to discuss research, read scholarly work related to this subfield, and support future research collaborations.

To see the collection of prior postings to the list, visit the escience_datasciencestudies Archives. (The current archive is only available to the list members.)

Using escience_datasciencestudies
To post a message to all the list members, send email to escience_datasciencestudies@u.washington.edu.

You can subscribe to the list, or change your existing subscription, in the sections below.

Subscribing to escience_datasciencestudies

Subscribe to escience_datasciencestudies by filling out the following form. You will be sent email requesting confirmation, to prevent others from gratuitously subscribing you. This is a private list, which means that the list of members is not available to non-members.

UW community:

If you have a computer account at the University of Washington, and you intend to subscribe to this list, change something about the subscription you already have, or access private list archives, please log in first.

Once you have logged in, this page will automatically fill in your email address.

For persons outside the UW

If you do not have a UW NetID and want to subscribe, enter your email address and name (optional) below. A password will be assigned to you and sent to your email address.

Your email address:
Your name (optional):
Would you like to receive list mail batched in a daily digest? No Yes

escience_datasciencestudies Subscribers
(The subscribers list is only available to the list members.)

Enter your address and password to visit the subscribers list:

Address: Password:   

To unsubscribe from escience_datasciencestudies, get a password reminder, or change your subscription options, enter your subscription email address:

If you leave the field blank, you will be prompted for your email address


escience_datasciencestudies list run by micaela at uw.edu, sstone3 at uw.edu, fioreb at uw.edu, tanweer at uw.edu
escience_datasciencestudies administrative interface (requires authorization)
Overview of all mailman11.u.washington.edu mailing lists

Delivered by Mailman
version 2.1.17

[University of Washington]
UW-IT
help@u.washington.edu