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Showing 1 to 9 of 9 for “"decision bias"”.

  1. Adaptive moral character judgments: comparing memory and decision bias for immoral and moral targets

    Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-08-01

    uiuc Repository record for Adaptive moral character judgments: comparing memory and decision bias for immoral and moral targets (opens in a new tab)

  2. Intelligent Decision Support for Dynamic Carbon Finance Management

    … poses significant challenges for effective decision making. This doctoral research proposes an intelligent knowledge assembly based decision support system for the dynamic management of carbon finance. The study addresses critical challenges including heterogeneous and sparse data …

    uts Repository record for Intelligent Decision Support for Dynamic Carbon Finance Management (opens in a new tab)

  3. Exploring Preferences for ‘Blinding’ One’s Own Judgment

    … people's degree of preference for "blinding" in decision-making: purposefully restricting the information one sees in order to try to form a more accurate evaluation. For example, when grading her students’ papers, a professor might choose to "blind" herself to students’ names by anonymizing …

    duke Repository record for Exploring Preferences for ‘Blinding’ One’s Own Judgment (opens in a new tab)

  4. An Item Response Theory Approach to Causal Inference in the Presence of a Pre-intervention Assessment

    … based on Item Response Theory (IRT) to combat bias that occurs when existing causal inference methods are used under certain scenarios. When a pre-test is administered, prior to a treatment decision, bias can occur in causal inferences about the decision's effect on the outcome. This new IRT …

    columbia-diss Repository record for An Item Response Theory Approach to Causal Inference in the Presence of a Pre-intervention Assessment (opens in a new tab)

  5. Organizational Decision-making in the Age of Big Data and Artificial Intelligence

    <p>This dissertation examines organizational decision-making in the context of big data and artificial intelligence (machine learning) technologies. There are three studies. All three focus on collaborative decision-making in organizations, with study 1 examining it in the context of big data, …

    cuny-grad Repository record for Organizational Decision-making in the Age of Big Data and Artificial Intelligence (opens in a new tab)

  6. Some statistical problems in sequential meta-analysis

    … more generalisable and provide evidence base for decision making. However, recent studies show that the magnitude of effect size estimates reported in many areas of research have significantly changed over time. These temporal trends can be dramatic and even lead to the loss or gain of the …

    east-anglia Repository record for Some statistical problems in sequential meta-analysis (opens in a new tab)

  7. Activity-Based Costing & Warm Fuzzies - Costing, Presentation & Framing Influences on Decision-Making ~ A Business Optimization Simulation ~

    … that can be used to make valuable managerial decisions. Accounting journals regularly report the successful implementations and benefits of activity-based costing systems for particular businesses. Little experimental or empirical evidence exists, however, that has demonstrated the benefits of …

    vt Repository record for Activity-Based Costing & Warm Fuzzies - Costing, Presentation & Framing Influences on Decision-Making ~ A Business Optimization Simulation ~ (opens in a new tab)

  8. Portfolio valuation in early drug development : a systematic accounting of utility

    … process that is intended to reduce human bias in the decision process, and increase the consistency of multi-criteria consideration. This valuation model for drugs in early development considers monetary and utility values in conjunction with a rules based expert system to estimate the …

    mit Repository record for Portfolio valuation in early drug development : a systematic accounting of utility (opens in a new tab)

  9. Real-Time Machine Learning for Quickest Detection

    … real-time machine learning for control and decision making. One promising solution is to use deep learning to discover useful patterns for event detection from heterogeneous data. However, deep learning algorithms encounter challenges in CPS with assurability requirements: 1) Decision

    embry-riddle Repository record for Real-Time Machine Learning for Quickest Detection (opens in a new tab)