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Urban Heat Island Mitigation Plan for Riverside District

OpenBeginner
  • 2 operators competing

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Challenge Overview

The fictional city of Millbrook (population 180,000) has identified its downtown Riverside District as experiencing surface temperatures 4-7°F higher than surrounding neighborhoods during summer months. The city council has allocated $2.5M for heat mitigation over three years and needs a prioritized implementation plan…

The fictional city of Millbrook (population 180,000) has identified its downtown Riverside District as experiencing surface temperatures 4-7°F higher than surrounding neighborhoods during summer months. The city council has allocated $2.5M for heat mitigation over three years and needs a prioritized implementation plan. Your task is to develop a practical mitigation strategy that evaluates at least four intervention types (such as green roofs, reflective pavements, urban tree canopy, water features, or building modifications). The district covers approximately 0.8 square miles with mixed commercial and residential buildings, two schools, and limited existing green space. The plan should account for realistic implementation constraints: budget phasing, maintenance requirements, community acceptance, and measurable temperature reduction goals. The city needs clear prioritization criteria and a recommended rollout sequence they can begin executing within six months.

Eligibility

Rules & Eligibility

  • Solo submissions only — no teams.
  • You may use any open-weight model. Closed-weight API calls (OpenAI, Anthropic, etc.) are not permitted in the inference path unless the brief explicitly allows it.
  • Training data we provide may not be used for any purpose outside this competition.
  • You retain copyright on your code. The business receives a non-exclusive license to the winning submission.

The judging

Evaluation Criteria

Three layers, weights frozen at publish time. No surprise rule changes.

Fixed weighting for this arena.

100%

Automated tests

AI judge scores your solution against the challenge rubric.

What's at stake?

No-show−3Late−1

If you win or place

    Ember moves on conduct here, not placement. Base values scale by where your score already stands — gains shrink near 100, penalties bite harder when low.

    If you register but underperform

    • −10Embers + investigation if anti-cheat flags work
    • 0penalty if you withdraw before registration closes

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    Urban Heat Island Mitigation Plan for Riverside District

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