54 Matching Annotations
  1. Apr 2022
    1. K-Anonymity, L-Diversity, and T-ClosenessIn this section, I will introduce three techniques that can be used to reduce the probability that certain attacks can be performed. The simplest of these methods is k-anonymity, followed by l-diversity, and then followed by t-closeness. Other methods have been proposed to form a sort of alphabet soup, but these are the three most commonly utilized. With each of these, the analysis that must be performed on the dataset becomes increasingly complex and undeniably has implications on the statistical validity of the dataset.

      privacy metrics

    1. The general trend is that students who report improved socioemotional outcomes also show suggestions of increased activity in collaborative tools relative to their peers.

      Another positive outcome from students taking courses with collaborative assignments.

    2. In this sample, 1,868 students enrolled in at least one undergraduate class with, and at least one undergraduate class without, some form of collaborative activity (peer review, Piazza, CourseNetworking, etc.), not including discussions.

      Interesting: Discussions are excluded from collaborative activies.

    3. Similarly, social annotation tools such as Hypothesis provide opportunities for students and instructors to interactively engage in a shared resource of interest wherein problems, challenges, and insights can be discussed.

      Mention of Hypothesis social annotation as a site for teacher/learner engagement.

    4. We estimate that students performed 1.16% points (95% HDI [0.65–1.66]) better in their undergraduate courses with collaborative activities, compared with the same students’ performance in undergraduate courses without collaborative activities.

      Interesting positive student success finding for courses with collaborative assignments.

    1. Teaching with social reading doesn’t mean peering over students’ shoulders. Rather, teaching with social reading should help students share and connect.

      So often learning technologies emphasize metrics of engagement that easily become metrics of surveillance. Maybe instead of focusing on "time on page" they might flower out to "connections made" to other people, texts, writing, and ideas.

  2. Mar 2022
    1. “It’s really hard to help Emmett understand anything qualitative,” one former employee says. “It has to be quantitative.”

      Does running a community require qualitative decision making?

  3. Nov 2021
    1. Employing an evidence-based methodology, CitiIQ has created a comprehensive, objective measurement of a city.
    1. um kevin anderson 00:12:43 if you can talk more about this issue both you and george assad raymond and so many other climate activists talking about this issue of wealth 00:12:55 you say per capita is a flawed metric as most polluting industries have been moved to developing nations so it's not reflective of the rich nation's emissions take all of this on 00:13:09 yeah i mean that's a really key issue and i think if i focus in here on the uk where i know it's a place obviously i know much better that what we've done in the uk we've closed down a lot of our industry and then we import the manufactured goods from elsewhere in the 00:13:22 world and then we turn around to those parts of the world and then we blame them for the emissions in manufacturing the goods that we are enjoying and that's everything from our electronic goods to parts for our cars as our clothes so you know the uk is 00:13:35 effectively moved to a bar and banking culture and and and offshore virtually everything else and so we when we looking at our total amount of emissions we have to take account of the carbon footprint of our lifestyles and that 00:13:47 does include the emissions that we associated with things that we import and export i mean you take that into account you tend to find that most wealthy countries have a much larger carbon footprint than when you just look at the energy they use within their 00:14:00 boundaries and i think it's really key again when we think about these issues of equity we we that we take this what's often referred to as a consumption-based accounting method we take that into account because it is unfair to be 00:14:12 penalizing poor parts of the world for them making things to help us have a better quality of life over here and when we do that then the challenges get even more striking in terms of what we have to do and it also also brings out 00:14:25 even further the issues of equity the disparity between the richer parts of the world and the poorer parts of the world but i also think on the equity point it's really worth bringing out that it's not as if everyone in the uk is even 00:14:37 there isn't just one public in the uk there are multiple publics there were those of us who are the wealthy ones in our own country that are responsible for the lion's share of missions within the uk that will be true chain for the u.s for germany for japan australia and so 00:14:50 within all of our countries there are large swathes of the country who are the average and below average consumers and for them the response to climate change is very different from those of us who are in our own countries are responsible for the lion's share of 00:15:03 emissions so i think we have to differentiate not just between countries but even within our countries and my concern there is that who are the people that frame the climate dubai debate they're the climate scientists and the academics they're the 00:15:14 entrepreneurs the business leaders the journalists the barristers they're all the people that are in the very high emitting category so we frame the debate and we never ever frame the debate with equity at its core and with regardless 00:15:26 of our maths or our moral sorry regardless of our moral position the maths tell us if we are to deliver on the commitments then equity has to be a key part of our responses but we never talk about that because we are in that 00:15:38 high emitting group

      Kevin points out why a CONSUMPTION-BASED METRIC is more accurate than PER CAPITA metric, as the PER CAPITA metric does not include the embodied carbon emissions of the manufactured goods that consumers purchase. Per Capita metric reflects that the manufacture is responsible, not the consumer, an inaccurate moral indication.

      We have also noticed that wealthy and poor exist in ALL countries of the world and the more nuanced terminology we employ based on a Country-Wealth Sector classification matrix as described here:

      https://medium.com/@gien_SRG/more-nuanced-terminology-for-post-colonialist-inequality-af2f1609635c

      Using this new terminology, Monbiot and Anderson are referring to the North-North and South-North class as all the elites of the world has having the highest personal carbon footprint whilst the North-South and South-South class are the victims.

  4. Oct 2021
    1. Note also: this incentive is in fact far more hard-headed than any metric of hedonic economism—such as GDP, which is measuring the amount of desire satisfied by the productive sector. At best GDP is a revenue metric. A prudent manager will manage an enterprise to maximize capital and profit, not revenue.

      Also agreed; measures how much, not how well

  5. Aug 2021
    1. Lately, metrics related to social usage and online comment have gained momentum — F1000Prime was established in 2002, Mendeley in 2008, and Altmetric.com (supported by Macmillan Science and Education, which owns Nature Publishing Group) in 2011.

      See altmetrics.

  6. Mar 2021
    1. The urgent argument for turning any company into a software company is the growing availability of data, both inside and outside the enterprise. Specifically, the implications of so-called “big data”—the aggregation and analysis of massive data sets, especially mobile

      Every company is described by a set of data, financial and other operational metrics, next to message exchange and paper documents. What else we find that contributes to the simulacrum of an economic narrative will undeniably be constrained by the constitutive forces of its source data.

  7. Feb 2021
  8. Oct 2020
  9. Sep 2020
  10. Jun 2020
  11. May 2020
  12. Apr 2020
    1. From my perspective this would at least require a deep change in how we measure value, define labor and organize the financial system.

      Yes, and maybe more importantly in what we value - not just how we measure it.

  13. Nov 2019
  14. Sep 2019
    1. Short-term (i.e., “This year, I will see...”) and long-term (i.e., “In 10 years, I will see...) indicators are needed.

      Metrics must represent short and long-term view to capture impact over time.

  15. May 2019
    1. Amanda Matos - Métricas & DevOps - Por que você deve medir para conquistar?

      Operações e monitoramento têm um tópico específico entre as exigências do LPI na certificação DevOps. A Amanda irá contar como implementar métricas com ferramentas de código aberto. Fica de olho!

      705.1 IT Operations and Monitoring (weight: 4)

  16. Dec 2018
    1. For many years, academia has relied on citation count as the main way in which we measure impact or importance of research. As a result, citation count is one of the primary metrics used when evaluating researchers. Citation counts also form the basis for other metrics, most notably Clarivate’s Impact Factor as well as the h-index, which respectively evaluate journal quality/prestige and researcher renown.

      The metrics the Academy uses to measure "impact" are regressive.

  17. Nov 2018
    1. these are not the only reason behindthe trends observed. An examination of the peaks

      See http://wikicite.org/statistics.html for similar phases and events better analysed by history instead of calculations.

    2. Wikidata quality assessment

      I guess the the average values are spoiled by outliers. A look at distribution would be interesting instead of average and median value only.

    3. Ontology depth

      I'm curious about the depth distribution to compare my findings on other classification systems, including Wikipedia categories: https://arxiv.org/abs/cs/0604036

    4. sed in the present analysis

      I'd add number of classes with connected Wikipedia articles because these provide definition and context

    5. We used the following keywords:‘ontology metrics’, ‘ontology evaluation framework’, and ‘ontology evaluation’. From the results,we selected only papers including primarily structural metrics.

      A similar study on metrics and evaluation of classifications, taxonomies, thesaurus and other knowledge organization systems would be interesting!

    Tags

    Annotators

  18. Nov 2017
    1. We calibrate the model for 6 countries at various stages of economic development: 3 low-incomecountries (Uganda in 2005, Kenya in 2006, and Mozambique in 2006), and 3 emerging marketeconomies (Malaysia in 2007, Philippines in 2008 and Egypt in 2007).

      Data & Calibration

    2. In the model, agents are heterogeneous { distinguished from each other by wealth and talent.Individuals choose in each period whether to become an entrepreneur or to supply labor for a wage.Workers supply labor to entrepreneurs and are paid the equilibrium wage. Entrepreneurs haveaccess to a technology that uses capital and labor for production. In equilibrium, only talentedindividuals with a certain level of wealth choose to become entrepreneurs.

      In this model, a heterogenous population is 'created' and differentiated by their talent and wealth. Only people with enough of both can be entrepreneur, otherwise they will stay as wage earners.

    1. The Solow–Swan model augmented with human capital predicts that the income levels of poor countries will tend to catch up with or converge towards the income levels of rich countries if the poor countries have similar savings rates for both physical capital and human capital as a share of output, a process known as conditional convergence.

      Income convergence of the poor and rich people will happen conditional on them enjoying similar savings rates. Otherwise, it might not happen.

    1. Maybe not a ELI5, but: Moments are expectations of things. E(X) is often called the "first moment," E(X2 ) is the "second moment," etc. They can also be more complicated, like E(exp(5x+y)), or whatever. In econometrics, you're trying to figure out something about the underlying distribution of your y's and your x's (and the errors). Often you don't know the shape of the distribution, but you know some moments of the distribution. This is useful because you can't use maximum likelihood estimation unless you make assumptions on the entire distribution. With ordinary least squares, you assume that E(ex) = 0, that is, the errors are uncorrelated with the regressors. You can write e = y - xbeta, to get a moment condition E(x(y-xbeta)) = 0. If you do GMM with this moment condition, you get the regular OLS estimator. If you have endogeneity of some kind, you don't know that E(ex) = 0, but you might have some instruments Z, such that E(ez) = 0. This gives you the moment condition E(z(y - x*beta)) = 0. GMM is nice because it makes relatively weak assumptions compared to other ways of estimating parameters. I hope that helps!

      GMM - I don't get it, at all. What are moments? How are they used? Why are they used? Thanks all!

  19. Sep 2017
    1. proportion of youth and adults with information and communications technology (ICT) skills, by type of skill’ (SDG 4.4.1)

      indicator of digital skills target

    2. Develop appropriate measurement and monitoring strategies

      Recommendation 4

    1. it shows the six degrees of separation.

      What SNA will help with is not only creating visuals of networks but providing metrics to be able to understand the different roles and positions each nodes plays in the network as well as comparing different network structures.

  20. Jul 2017
    1. 1000 assignments in the assignment bank and 11 thousand submissions

      ds106: syndicated: 1K assignments and 11K submissions

    2. The first great experiment was UMW Blogs, our institutional blogging system which debuted in fall of 2007. In that nine years, it has had almost 13,000 users and it now contains 11,000 individual WordPress sites.

      UMW blogs: 13K users, 11K blogs

  21. Feb 2017
    1. (Among the recommendations: Greater emphasis on visuals, greater variety of formats and voices. They also announced that the Times would be introducing an alternative metric to pageviews that would “measure an article’s value to attracting and retaining subscribers.”)

      How would they measure this exactly?

  22. Jan 2016
  23. Jul 2015
    1. I think it is possibly too early to tell.

      As Steven Hill of HEFCE recently suggested, it might be far better for UK institutions to reject these tables: "What if all UK institutions made a stand against global rankings, and stopped using them for promotional purposes? The reputation of the UK’s higher education sector would stand firm, and a really strong signal would be sent to the rest of the world. Not drifting, but steering purposely through the metric tide." http://blog.hefce.ac.uk/2015/07/08/the-metrics-dilemma/

    1. based on a scientific analysis of citation data

      JIF is discredited in many reviews. See for example http://dx.doi.org/10.3389/fnhum.2013.00291. A recent independent review of metrics for the Higher Education Funding Council for England also strongly recommended against the use of measures like JIF: http://www.hefce.ac.uk/pubs/rereports/Year/2015/metrictide/

  24. Oct 2014
    1. metrics on annotations/comments

      We should compare these asks with our own needs for monitoring our public service at Hypothes.is.

  25. Sep 2013