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Johann Höchtl

Wiki:Government 2.0 | Social Media CoLab - 0 views

  • Internal (intra or inter-government) collaboration. Institutional presence on external social networks Open government data Employees on external social networks 
  • Increased government efficiency Increased government accountability Increased citizen engagement and participation Increased innovation
  • Potential loss of privacy Invalid data
  • ...11 more annotations...
  • 1) what data should the government share and 2) how does data influence the public sphere
  • The optimists decry the modern instantiations of bureaucracy and policy in which democratic governments operate as the source of democratic ills and support the normative idea of an informed and engaged public.  Pessimists counter that the normative model of democracy most accepted in the literature is a novel construction that is not grounded in the natural behavior of citizens.
  • The innocence of Americans is either explained as a rational choice under the principle of rational ignorance (Downs, 1957) or explained as something inherent in the lack of mental sophistication in humans.
  • Government 2.0 attempts to correct the problems of information diffusion by assuming that people are simply unable or unwilling to find information in the offline world.  If the barriers to information acquisition are lowered then, the theory goes, people will be more likely to find, synthesize and use information in decision-making processes.
  • Feedback loops: Who will be active in these loops? How will the public respond? 
  • People usually think about explicit citizen participation, but some of the most pwrful Web 2.0 tools aren't about that: it's about ppl who are participating w/o knowing they are participating. Google is actually one of the great engines of harnessing participation, anyone who clicks on a link is participating, a link is a vote, meaning hidden in something they're doing already. Wikipedia isn't the only place where people are contributing.
  • The amount of data being shared/collected about people is growing exponentially, old notions of privacy need to be replaed by ideas of visibility and control: give more control over who gets to see it. We are better off with more visibility and control than stopping people from collecting data. The data is incredibly useful, applicaitons depend on data, people willingly giving up that privacy about where they are all the time.
  • many programs go wrong, generically, (what worries me) government is still very much an insider's game, we have not yet really built a system that allows real participation
  • Another gov 2.0 observation: it's very hard for a government agency to start over, it's not like private sector, where companies with bad ideas go out of business. Government agencies don't go out of business. (consumers benefit from newspapers going out of business) We don't have creative destruction in gov't, the basic machinery of it just gets bigger and more entrenched. Need to figure out how to start over: what not to do
  • The toughest part about Web 2.0, Gov 2.0, etc, might be the role of management. It used to be about defining the outcome and monitoring the progress towards that outcome. In Web 2.0 you don't know what that outcome is, it's a huge leap of faith, and takes a tremendous amount of adjusting to that approach. Do we need a different set of metrics? Yes. Media is intersecting with technology, technology is a new channel for media, even Hollywood is changing: oh my goodness, we have to create entirely new financial models!
  • "The future is already here, it's just unevenly distributed." It's a cultural issue here, people are stuck in the past and we need a new wave of innovators or we should just expect slow results.
Parycek

Crowd-sourcing is not empowering enough - 0 views

    • Parycek
       
      It invites individuals to foist and endorse (or not) ideas with no pressure to consider the full public consequences of them, including whether they can be sustained across ideological or partisan lines, or how practical they are, or how insulting of public officers. There is the published intention to attract a full range of public perspectives, but instead it tends to attract enclaves of people with committed strategies (eg. embarrass public officials) or perspectives (eg. technology is the answer). While national initiatives attract noise, in more local applications of such ideation, participation is often too thin to be meaningful. This all comes down the question of representativeness. If a governing body is going to legitimately use these ideas, and be compelled to do so, then there has to be good evidence that the contributors do actually form a descriptive representation of the public being governed. I think if you have a technical problem that requires particular expertise, then such ideation processes can find the needle in the haystack. Those of us who subscribe to technical forums know how well that works. I think some people feel that public policy ideation works the same way, but it doesn't because in a contested political environment, what "should be done" is claimed on normative rather than technical grounds. Another metaphor for the ranking in ideation is consumer selection, which many in political science would model as rational choice, privileging private over public interests. Should that be the motor for the selection of public policy? I write all this knowing full well that I risk throwing the baby out with the bathwater. I just think we can do better. Some ideation processes should invite people randomly, to ensure full demographic spread on relevant dimensions (eg. age, education, political leaning). Let's have multi-stage processes, where contributors do more than just introduce and rank ideas--to their credit, thi
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    I fear that ultimately crowd-sourcing is damaging the enterprise of dialogue and deliberation (D&D).
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