Entry #65

Budgetary Constraints

Richard Passarelli

A proposal to create a group of river monitor stations that use machine learning to predict the occurrences of floods and droughts. Prediction is done using a convolutional neural network, with data such as water demand, soil conditions, and other information sourced from citizens given as input.

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• Metadata:
• • The degree to which advanced technologies (including IT) are used
    3  (Low-tech) 1 - 2 - 3 (High-tech)
• • Site-specificness: The degree to which the idea targets a specific locale
    2  (Site-agnostic/universal) 1 - 2 - 3 (Site-specific)
• • Degree of commercial potential
    1  (Strictly for public good) 1 - 2 - 3 (May profit some parties involved)
• • Time scale of citizen-led changes to cities enabled by the idea
    2  (Short-term change) 1 - 2 - 3 (Long-term change)
• • Geographic scale of citizen-led changes to cities enabled by the idea
    2  (Small-scale change) 1 - 2 - 3 (Large-scale change)
• • Hurdles toward participation, from a citizen’s perspective
    2  (Anyone can participate) 1 - 2 - 3 (Requires expertise, time, money, etc.)