University of Cambridge > Talks.cam > Ethics of Big Data > What is Big Data? Discovery through a Data Walkshop

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

What is Big Data? Discovery through a Data Walkshop

Download to your calendar using vCal

If you have a question about this talk, please contact Ella McPherson .

Explore and discuss the data environment around the Cambridge Railway Station, including the site of Microsoft Research’s project on data and the residents of Tenison Road, through a process of rapid group ethnography. Arrive at 2pm sharp at the corner of Tenison Road and Station Road, in front of Microsoft Research, for a short introduction to the project. We will leave at 2:30pm for a 60 minute walk around the area, followed by discussion. We will reflect on the different conceptualizations of data that we discover on our walk and also on the disjunctions between conceptual and computational data. This will highlight that, underpinning any considerations of the ethics of big data, are particular understandings of what data is in the first place.

Please bring a phone/camera, appropriate dress for the weather, and a sandwich if you like.

Please note, spaces are limited and must be booked in advance here: http://www.crassh.cam.ac.uk/events/26406

This talk is part of the Ethics of Big Data series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Live on Zoom PfizerLecture Theatre, Department of Chemistry, Lensfield Road FW26 and https://cl-cam-ac-uk.zoom.us/j/97216272378?pwd=M2diTFhMTnppckJtNWhFVTBKK0REZz09

Other talks

César Milstein Lecture - Title TBC Morning Tea and Coffee Mergers all the way down: simulating the origin of globular clusters in a galactic context Title to be confirmed title and abstract tba (joint seminar with Spectral Geometry in the Clouds) Disentangling preventative & ejective AGN feedback on a population basis with simulations, observations & machine learning
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity