7 Matching Annotations
  1. Oct 2017
    1. People with scientific training are adopting these practices as well, either by offering services on sites such as Upwork or finding projects through their previous academic networks.
  2. Sep 2016
    1. The Future of the Professions: How Technology Will Transform the Work of Human Experts
    2. “The Future of Employment: How Susceptible Are Jobs to Computerisation?”
    3. It is by now close to certain that there are millions of people currently in high school and college who are fine-tuning their skills for steady-looking careers that will, following technological breakthroughs, dissipate by the time they retire.
    1. We commonly look at Ivy League institutions as the standard of higher education in America, but the truth is that the majority of the nation's workforce, innovation identity and manufacturing futures are tied to those institutions which graduate outside of the realm of high achievers from wealthy families. 
  3. Jun 2016
    1. The War on Stupid People

      Lots of difficult things with this text, including the title. The obsession on measurable “smarts” is an important topic and the possible measures to prevent this obsession from impacting (US) society make sense. But it’s really tricky to discuss intelligence in such ways. Part of the text reads as further essentialisation of measured intelligence. Yet it sounds clear from the possible measures described that this form of intelligence takes at least part of its meaning in a given social context.

      Maybe the deep issue with a text like this is that it’s hard to get people to shift from one consistent mindframe (paradigm, episteme) to another. More specifically, it’s hard to discuss intelligence in a context where the concept has become so loaded.

      Would have lots more to say about this from my parents’ experiences (an occupational therapist who spent a career with people labelled as having “intellectual disabilities” and a psychopedagogue who worked in “special education” with students from a low-income neighbourhood who had “learning disabilities”). Maybe later.

  4. Apr 2016
    1. “fundamentally if we want to realize the potential of human networks to change how we work then we need analytics to transform information into insight otherwise we will be drowning in a sea of content and deafened by a cacophony of voices”

      Marie Wallace's perspective on the potential of bigdata analytics, specifically analysis of human networks, in the context of creating a smarter workplace.