15 Matching Annotations
  1. Sep 2024
  2. Dec 2022
    1. innovation communications tactics such as:• Building visibility with “tips from the lab” newsletters, blogs, guides, or tools. Skip the jargon. Put something tangible into the hands of staff.• Helping managers by creating team briefs, case studies and articles for team meetings.• Inviting executives for briefings to build your pool of champions.• Packaging presentations for staff meetings and manager conferences.• Creating basic education programs to help staff and teams solve problems on the job.

      A good list of tactics to communicate about innovation. For example,

      • publish blogs, guides, videos with concrete tips,
      • create a pool of champions
      • basic education programs that help solve problems on the job

      One could also think about a "virtual innovation" lab approach ...

    2. Government policy innovationPublic services innovation (including service design and digital)Science and technology — governments employ thousands of scientists, engineers and researchers. Labs can think of ways for them to become more effective.Management systems innovation — “innovate” how government innovates to build skills, capacity and culture.
      • Government policy innovation
      • Public services innovation (including service design and digital)
      • Science and technology — governments employ thousands of scientists, engineers and researchers. Labs can think of ways for them to become more effective.
      • Management systems innovation — “innovate” how government innovates to build skills, capacity and culture.

      The article speaks about that "Management systems innovation" -- the way howe we build skills, capacity and culture -- is a key element for successful attempts for governments to innovation.

      Concentrating on these aspects -- howe we work together, how we develop skills and capacity -- might be the key ingredients for a future for the OpenLab -- and the future of the innovation activities.

      Maybe we could start offering "services" from the "OpenLab" to managers and teams ...?

  3. Nov 2022
    1. Modern science is, to a large extent, a model-building activity. In the natural and engineering sciences as well as in the social sciences, models are constructed, tested and revised, they are compared with other models, applied, interpreted and sometimes rejected or replaced by a better model.
    1. The paradox of information systems[edit] Drummond suggests in her paper in 2008 that computer-based information systems can undermine or even destroy the organisation that they were meant to support, and it is precisely what makes them useful that makes them destructive – a phenomenon encapsulated by the Icarus Paradox.[9] For examples, a defence communication system is designed to improve efficiency by eliminating the need for meetings between military commanders who can now simply use the system to brief one another or answer to a higher authority. However, this new system becomes destructive precisely because the commanders no longer need to meet face-to-face, which consequently weakened mutual trust, thus undermining the organisation.[10] Ultimately, computer-based systems are reliable and efficient only to a point. For more complex tasks, it is recommended for organisations to focus on developing their workforce. A reason for the paradox is that rationality assumes that more is better, but intensification may be counter-productive.[11]

      From Wikipedia page on Icarus Paradox. Example of architectural design/technical debt leading to an "interest rate" that eventually collapsed the organization. How can one "pay down the principle" and not just the "compound interest"? What does that look like for this scenario? More invest in workforce retraining?

      Humans are complex, adaptive systems. Machines have a long history of being complicated, efficient (but not robust) systems. Is there a way to bridge this gap? What does an antifragile system of machines look like? Supervised learning? How do we ensure we don't fall prey to the oracle problem?

      Baskerville, R.L.; Land, F. (2004). "Socially Self-destructing Systems". The Social Study of Information and Communication Technology: Innovation, actors, contexts. Oxford: Oxford University Press. pp. 263–285

  4. May 2022
    1. Projects like the Open Journal System, Manifold or Scalar are based on a distributed model that allow anyone to download and deploy the software (Maxwell et al., 2019), offering an alternative to the commercial entities that dominate the scholarly communication ecosystem.

      Might Hypothes.is also be included with this list? Though it could go a bit further toward packaging and making it more easily available to self-hosters.

  5. Mar 2021
  6. Oct 2020
  7. Sep 2020
  8. Aug 2020
  9. Jul 2020
  10. Jun 2020
  11. May 2020
  12. Apr 2020