Conor E. Doherty

Conor E. Doherty

Paris, Île-de-France, France
1 k abonnés + de 500 relations

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À propos

I try to explain complex topics in ways people understand and care about.

At…

Articles de Conor E.

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Expérience

  • Graphique Lokad

    Lokad

    Paris, Île-de-France, France

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    Paris, Île-de-France, France

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    Paris, Île-de-France, France

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    Paris, Île-de-France, France

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    Shanghai City, China

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    Suzhou, Jiangsu, China

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    County Dublin, Ireland

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    Beijing City, China

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    Getxo, Bilbao, Spain

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    Berango, Bilbao, Spain

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    Rimini, San Lorenzo al Mare, Sanremo, Venezia

Formation

  • Graphique Maynooth University

    National University of Ireland, Maynooth

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    Chief area of study: ethics, morality and vigilantism.

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    Studied bilingual education methodologies with the Department of Educational Theory and Social Pedagogy.

Licences et certifications

  • Graphique University of Cambridge Certificate in English Language Teaching to Adults (CELTA)

    University of Cambridge Certificate in English Language Teaching to Adults (CELTA)

    Cambridge English Language Assessment

    Délivrance le Expiration le

  • TESOL (120 Hours)

    Open and Distance Learning Quality Council

    Délivrance le Expiration le

Publications

  • A Critical Evaluation of the Assumptions of Forecast Value Added

    Foresight: The International Journal of Applied Forecasting

    Forecast Value Added (FVA) is a simple tool for evaluating the performance of each
    step (and contributor) in a forecasting process. Its goal is to eliminate waste by removing
    processes and activities (of any kind) that fail to increase forecast accuracy or reduce bias.
    FVA is predicated on the notion that better forecasting performance is worth pursuing, and
    that identifying the activities that increase it and eliminating those that do not is desirable. In
    this article…

    Forecast Value Added (FVA) is a simple tool for evaluating the performance of each
    step (and contributor) in a forecasting process. Its goal is to eliminate waste by removing
    processes and activities (of any kind) that fail to increase forecast accuracy or reduce bias.
    FVA is predicated on the notion that better forecasting performance is worth pursuing, and
    that identifying the activities that increase it and eliminating those that do not is desirable. In
    this article, Conor Doherty argues that despite positive intentions, FVA demonstrates limited
    once-off utility and, if deployed on an ongoing basis, presents a multitude of drawbacks
    including faulty mathematical assumptions, misconceptions about the intrinsic value of
    increased forecasting accuracy, and the absence of a robust financial perspective.

    To request a copy of the paper, please email [email protected]

    Voir la publication

Projets

  • Conversational English Skills edX MOOC

    - aujourd’hui

    Collaborated on the production of Tsinghua University's edX MOOC, "Conversational English Skills".

Langues

  • Chinese

    Notions

  • French

    Compétence professionnelle limitée

  • English

    Bilingue ou langue natale

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