<jupyter_start><jupyter_text>Bear and Lici's testing  Brainstorms  Step 1: Copy something that's been done  Modeling climate change based on human behavior * Link historical consumption data of various industries to climate change  * Use 100s if not 1000s of features (human behavior) and dozens of targets (climate change)* Emissions output based (dependent) on energy demand* Business is usual consideration - How much more is producedTime correlated data (RNN)?  Natural behavior * Volcanos* Cycles  * Water  * Carbon* Solar irradiance*   Human behavior * Raw material gathering  * Farms  * Mining  * Fishing    * Destruction of ecosystems  * Foresting* Transportation  * Public vs private (cars)  * Shipping* Consumption  * Food (meat/vegetarian)  * Clothes (a lot of waste)  * Electronics  * All raw materials that generate waste* Energy  * Fossil fuels  * Renewables   * Energy efficiency (more efficient technology)  * Energy demand* Politics  * Climate/energy initiatives  * Carbon taxes* Corperations  * Initiatives  * Cap and trade    * Emissions alotted per company* Individuals  * Carbon footprint  * Person per region    * Urban vs. rural  * Poverty level      Climate * Climate  * Rainfall  * Temperature* Greenhouse gasses  * Methane  * CO $_2$  * H $_2$ O  * N $_2$ O  * F gasses* Ocean levels* Earth's albedo (arctic regions)* Natural disasters  * Hurricanes  * Tornadoes  * Fires  * Earthquakes?  * Floods  Code<jupyter_code>#Imports
import numpy as np
import matplotlib.pyplot as plt<jupyter_output><empty_output>
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