Self Research
  • Products
    • Self Profile
    • Self Framework
    • Self Pass
    • SafeWaters
    • EIU
    • SDK & APIs
  • Science
    • Library
    • Published
    • Devices
  • About Us
    • Our Vision
    • Team
    • Jobs
    • Latest News
    • Contact
  • Login
  • Donate
Select Page
  • Products
    • Self Profile
    • Self Framework
    • Self Pass
    • SafeWaters
    • EIU
    • SDK & APIs
  • Science
    • Library
    • Published
    • Devices
  • About Us
    • Our Vision
    • Team
    • Jobs
    • Latest News
    • Contact
  • Login
  • Donate

How do data come to matter? Living and becoming with personal data

by Research Team | Jul 5, 2018 | Research Publications

Author: Deborah Lupton Abstract: Humans have become increasingly datafied with the use of digital technologies that generate information with and about their bodies and everyday lives. The onto-epistemological dimensions of human–data assemblages and their...

Discovering Smart Home Internet of Things Privacy Norms Using Contextual Integrity

by Research Team | Jul 5, 2018 | Research Publications

Author(s): Noah Apthorpe Yan Shvartzshnaider Arunesh Mathur Dillon Reisman Nick Feamster Abstract: The proliferation of Internet of Things (IoT) devices for consumer “smart” homes raises concerns about user privacy. We present a survey method based on the...

Personal Informatics Systems for Supporting Self-Regulation in Online Learning Environments

by Research Team | Jul 4, 2018 | Research Publications

Author(s): David García-Solórzano,  Eugènia Santamaría,  José A. Morán,  Germán Cobo,  Carlos Monzo Abstract: Personal informatics (PI) systems have emerged as powerful tools for helping people to be aware of their behaviors in diverse domains. Nevertheless, little...

The Matrix Calculus You Need For Deep Learning

by Research Team | Jul 2, 2018 | Research Publications

Author(s): Parr, TerenceHoward, Jeremy Abstract: This paper is an attempt to explain all the matrix calculus you need in order to understand the training of deep neural networks. We assume no math knowledge beyond what you learned in calculus 1, and provide links to...

Self-Quantification of Body and Health – An Explorative Study of Epistemological Relations to Data Among Self-Tracking Individuals

by Research Team | Jul 2, 2018 | Research Publications

Author(s): Hagen, NiclasKasperowski, Dick Abstract: The current development of mobile digital technologies creates increasing possibilities forcreating big data and to quantify the self. But what are individual’s relations to these data on theself? In trying to...
« Older Entries
Next Entries »

Recent Posts

  • Pupil Invisible | Eye-Tracking Glasses
  • PictureThis
  • Neuroon Open

Archive

  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2003
  • 2001
  • 2000
  • 1997
  • 1989
  • 1985
Copyright © 2023 The Self Research Institute. All Rights Reserved.