Search Results - "Feliciani, Thomas"

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  1. 1

    Models of Social Influence: Towards the Next Frontiers by Flache, Andreas, Mäs, Michael, Feliciani, Thomas, Chattoe-Brown, Edmund, Deffuant, Guillaume, Huet, Sylvie, Lorenz, Jan

    “…In 1997, Robert Axelrod wondered in a highly influential paper "If people tend to become more alike in their beliefs, attitudes, and behavior when they…”
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    Journal Article
  2. 2

    Funding lotteries for research grant allocation: An extended taxonomy and evaluation of their fairness by Feliciani, Thomas, Luo, Junwen, Shankar, Kalpana

    Published in Research evaluation (17-08-2024)
    “…Some research funding organizations (funders) are experimenting with random allocation of funding (funding lotteries), whereby funding is awarded to a random…”
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  3. 3

    How, when and where can Spatial Segregation Induce Opinion Polarization? Two Competing Models by Feliciani, Thomas, Flache, Andreas, Tolsma, Jochem

    “…Increasing ethnic diversity fosters scholarly interest in how the spatial segregation of groups affects opinion polarization in a society. Despite much…”
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  4. 4

    Designing grant-review panels for better funding decisions: Lessons from an empirically calibrated simulation model by Feliciani, Thomas, Morreau, Michael, Luo, Junwen, Lucas, Pablo, Shankar, Kalpana

    Published in Research policy (01-05-2022)
    “…•An empirically calibrated computer model of peer review in grant funding.•Simulation experiments identify the contributions of factors to choice…”
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  5. 5

    Ethnic segregation and spatial patterns of attitudes: studying the link using register data and social simulation by Feliciani, Thomas, Tolsma, Jochem, Flache, Andreas

    Published in Journal of computational social science (01-10-2023)
    “…We theorize the causal link between ethnic residential segregation and polarization of ethnic attitudes within and between ethnic groups (e.g. attitudes…”
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  6. 6

    Peer reviewer topic choice and its impact on interrater reliability: A mixed-method study by Feliciani, Thomas, Luo, Junwen, Shankar, Kalpana

    Published in Quantitative science studies (01-11-2022)
    “…One of the main critiques of academic peer review is that interrater reliability (IRR) among reviewers is low. We examine an underinvestigated factor possibly…”
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  7. 7

    How to evaluate ex ante impact of funding proposals? An analysis of reviewers’ comments on impact statements by Ma, Lai, Luo, Junwen, Feliciani, Thomas, Shankar, Kalpana

    Published in Research evaluation (01-10-2020)
    “…Abstract Impact statements are increasingly required and assessed in grant applications. In this study, we used content analysis to examine the ‘comments on…”
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  8. 8

    Persuasion without polarization? Modelling persuasive argument communication in teams with strong faultlines by Feliciani, Thomas, Flache, Andreas, Mäs, Michael

    “…Strong demographic faultlines are a potential source of conflict in teams. To study conditions under which faultlines can result in between-group…”
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  9. 9

    A scoping review of simulation models of peer review by Feliciani, Thomas, Luo, Junwen, Ma, Lai, Lucas, Pablo, Squazzoni, Flaminio, Marušić, Ana, Shankar, Kalpana

    Published in Scientometrics (2019)
    “…Peer review is a process used in the selection of manuscripts for journal publication and proposals for research grant funding. Though widely used, peer review…”
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    Journal Article
  10. 10

    Grade Language Heterogeneity in Simulation Models of Peer Review by Feliciani, Thomas, Moorthy, Ramanathan, Lucas, Pablo, Shankar, Kalpana

    “…Simulation models have proven to be valuable tools for studying peer review processes. However, the effects of some of these models' assumptions have not been…”
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  11. 11

    Analyzing sentiments in peer review reports: Evidence from two science funding agencies by Luo, Junwen, Feliciani, Thomas, Reinhart, Martin, Hartstein, Judith, Das, Vineeth, Alabi, Olalere, Shankar, Kalpana

    Published in Quantitative science studies (04-02-2022)
    “…Using a novel combination of methods and data sets from two national funding agency contexts, this study explores whether review sentiment can be used as a…”
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