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22nd JDC Judges: Full List & Profiles 2024

The 22nd JDC Judges panel brings seasoned expertise to national scoring and evaluation across competitive categories. These judges combine deep domain knowledge with transparent...

Mara Ellison
22nd JDC Judges: Full List & Profiles 2024

The 22nd JDC Judges panel brings seasoned expertise to national scoring and evaluation across competitive categories. These judges combine deep domain knowledge with transparent methodologies to ensure consistent, high quality assessment.

Designed for clarity and accountability, the updated guidelines emphasize calibrated scoring, documented criteria, and ongoing training for every 22nd JDC Judges cohort.

Role Responsibilities Evaluation Focus Session Timeline
Lead Judge Coordinate scoring, manage calibration sessions Strategic alignment, overall quality Pre-session, event day, post-session
Domain Expert Assess technical correctness and innovation Content accuracy, best practices Submission review, live demos
Impact Analyst Measure outcomes and broader effects Measurable benefits, stakeholder value Evidence check, final scoring
Calibration Lead Align scores across judges, resolve discrepancies Inter-rater reliability, fairness Calibration drills, adjudication

Scoring Rubric and Criteria

Score Dimensions

The 22nd JDC Judges use a structured rubric that defines performance levels for each criterion. Quantitative thresholds support qualitative judgments, reducing ambiguity.

Each dimension is anchored with descriptors for excellent, strong, acceptable, and needs improvement, enabling consistent comparisons across entries.

Judge Training and Calibration

Pre Session Workshops

Judges attend intensive workshops covering guidelines updates, tool walkthroughs, and sample evaluations. Hands on exercises build shared understanding before live scoring.

Live Calibration Drills

During calibration sessions, judges score the same submissions together. Facilitators highlight gaps and align thresholds to ensure reliable final judgments.

Evaluation Workflow and Protocols

Submission Screening

Entries are verified for completeness and eligibility before detailed review. This step filters out non conforming submissions early in the cycle.

Blind Review Process

Identifying information is removed to minimize bias. Judges focus on content, methodology, and impact evidence during the assessment phase.

Selection Impact and Outcomes

Decision Transparency

Summarized rationales and aggregate scores are documented. High level findings are shared publicly while protecting proprietary details and individual feedback.

Post Selection Support

Selected participants receive guidance on next steps, resource access, and improvement actions. This follow up reinforces the development value of the process.

Maximizing Value from the 22nd JDC Judges Process

  • Study rubric descriptors thoroughly to align your submission with evaluation expectations.
  • Prepare clear evidence for impact, methodology, and outcomes to support your scores.
  • Engage proactively in calibration sessions to understand thresholds and edge cases.
  • Use feedback cycles to refine future submissions and strengthen long term performance.

FAQ

Reader questions

How many judges are typically part of the 22nd JDC Judges cohort

The cohort is calibrated to between 12 and 18 qualified judges, balancing depth of expertise with efficient deliberation and manageable scoring loads.

What happens if a submission has ties or very close scores

Ties or near ties are resolved through focused discussion led by the Calibration Lead, reviewing evidence, referring back to rubric thresholds, and when needed, applying predefined tiebreaker rules.

Can participants request a review or appeal of their score

Yes, participants may submit a structured review request outlining specific criteria concerns, supported evidence will be re evaluated by a small panel for procedural consistency checks.

How does the 22nd JDC Judges process ensure fairness and avoid bias

Blind review, calibrated scoring, documented rubrics, and mandatory training collectively minimize bias, with audits and spot checks reinforcing fairness throughout the evaluation cycle.

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