About EcoDataLab

Spring 2019

Here is our Spring 2019 team.

Project Leaders


Project Director Christopher M. Jones, Ph.D.	Faculty Sponsor Prof.Clair Brown	Faculty Co-Sponsor Daniel M. Kammen, Ph.D.

Project Manager

Mujtaba Tarin

Census Team

As part of the Census team, the student will download, clean, analyze, consolidate, visualize and publish new variables for the EcoDataLab website EnviroExplorer. An important aspect of the project will be to explore relationships between data and create visualization tools for users.


Jazmeen Rashidah Raja Team Lead	Baosen Luo	Sarah Ancheta	Cameron Malloy

Carbon Coders

As part of the Carbon Coders team, the student will help with the ongoing development of CoolClimate software tools using Javascript, React, HTML, CSS, SQL, APIs. Git and other tools.


Christopher M. Jones Team Lead	Pauline Hidalgo	Owen Singh

Energy Team

As part of the Energy team, students will collect, clean, analyze and develop visualizations of residential, commercial and industrial electricity and natural gas emissions from utilities by zip codes and other geographies. An important aspect of the project will be to combine energy data with demographic and economic information over time and spatially and to present interesting findings in interactive charts, maps, infographics and blogs on EcoDataLab's website EnviroExplorer.


Adam Ash Team Lead	Maria Terrenal	Akhil Kestur	Zachary Nathanel Gotler	Jiong Han Yeo

Mapping Team

As part of the Mapping team, students will learn to collect, clean, analyze and develop visualizations of transportation and energy data for the EcoDataLab website EnviroExplorer. An important aspect of the project will be to explore spatial relationships between data and present these in online maps, interactive charts and other visualizations using Tableau.


Regan Connel Team Lead	Athan Chan	Mohamed Rakha	Rameen Saeed

Python Hackers

As part of the Python Hackers team, students will learn to scrape, clean and analyze data from multiple sources and incorporate results into online visualizations for the EcoDataLab website EnviroExplorer. Advanced students may undertake analysis of data, and modeling of GHG emissions and policies.


Arie Chen Team Lead	Sean O'Hara	Walter Jove	Anny Yang

Transportation Team

As part of the Transportation team, students will develop transportation greenhouse gas inventories for California cities and counties. This will require collecting, cleaning, analyzing and developing online visualizations of local travel behavior and related GHG emissions. Data sources include regional transportation models, U.S. Census, Department of Motor Vehicles, U.S. Federal Highway Administration and other sources. An important goal will be to understand differences between models and to develop a framework that can be consistently applied across all California jurisdictions. Transportation accounts for 40% of California's GHG emissions; collection, cleaning and analysis of transportation data is urgently needed by local governments.


Noah Forougi Team Lead	Yash Wagh	Emma Ng

Visualization Team

As a member of the Visualization team, the student will use data collected by Analysis teams to create data visualizations, blogs and infographics using Tableau, Photoshop and other design tools, and incorporate these elements into a website using HTML.


Helen Yip Team Lead	Kexian Chen	Katrina Romulo	Uday Krishna Kalra	Soumya Avva

Econometrics Team

As part of the Econometrics team, students will perform multi-variate statistical analysis of U.S. transportation (NHTS) and energy (RECS) survey data, and develop estimates of household consumption, energy, transportation and greenhouse gas emissions for all U.S. locations (zip codes, Census tracts, cities, counties, states) over time. Data will be developed into visualizations and integrated into the EcoDataLab website EnviroExplorer. Advanced students may explore causal relationships between variables and enhance model design.


Winnie Gao Team Lead	Keisuke Ito	Lanlan Peng	Jay Zhang	Kevin Xiang