THE 2019 GLOBAL ANALYTICS COMPETITION
The Global Analytics Competition (GAC) is a worldwide inter-varsity competition aimed at generating innovative analytics solutions. The GAC competition also aims to raise awareness around environmental issues and sustainability.
See videos from the 2019 competition.
“Waste Management Report-Erase the Waste”
Nidhishant Dixit, Sithara K, Roshan Jain
Dr. Ram Ramesh
Dalhousie University - SECOND PLACE
“Natural Water Resources: G-7 versus Next 11”
Kyle Jacobson, Anthony Saikali, Justin Zuccon
Dr. Kyung Lee
University of Connecticut - THIRD PLACE
“The Catastrophic Effects of Global Warming-The Forces at Play”
Barbara Lucas Johnson, Carl Johnson, Prasanthi Lingamallu
Dr. Girish Punj
University of Maryland University College
Megan Brumbaugh, Rajesh Kumar Gnanasekaran, Yelena Bytenskaya
Dr. Steve Knode
“Tracing the Sources of Green House Gas Emissions, Globally and in our Backyard”
David Silberman, Ellen Tappin, Isaac Asiedu
Dr. Steve Knode
Deakin University
“Exploration of relationship between air pollution and population”
Branu Jeyavarman, Christine Joyce Carlos, Virasak Sokun
Dr. William Yeoh
Deakin University
“A report on CO2 analytics for Fossil fuel energy, Renewable energy, and Nuclear energy from 2010 to 2015”
Haoli Wong, Qingbao Liao, Adrian Inn Wai Ng
Dr. William Yeoh
Deakin University
“Air pollution and health impacts: Environmental Analytics”
Ruchika Rokade, Tejas Patil, Abhishek Gharge
Dr. William Yeoh
Fordham University
“Analysis Association between Economic Growth and CO2 Emission”
Gege Tao, Yuwen Wu, Haofeng Huang
Dr. Pasumarti Kamesam
Fordham University
“Exploring the Environmental Benefits of Shared Transportation Methods in the U.S.”
Boyin Zhu, Bingdi Chunyu, Yao Jing
Dr. Wullianallur Raghupathi
TEAMS AND ELIGIBILITY
Teams are comprised of of three students at the undergraduate or graduate level and an academic supervisor. Each team is required to have an academic supervisor. Submissions are welcome from teams at the undergraduate or graduate (e.g. US masters programs)/postgraduate (e.g. master programs in UK or Australia) level. Participation of students from analytics, data science, MBA, IT, information systems disciplines is highly desired.
TOPIC
The competition topic will be on environmental issues. Your main task is to apply an analytics tool (e.g. Watson Analytics, Power BI, Tableau, IBM Cognos, SAS, Rapidminer, etc) and develop innovative analytics solutions with regards to environment data, e.g. climate change, energy consumption, carbon footprint-GDP correlation, greenhouse gas emission, air quality-health impact, etc.
Some possible datasets/sources include:
http://data.un.org/Explorer.aspx
http://data.worldbank.org/topic/environment
http://open-data.europa.eu/en/data/publisher/eea
http://www.bom.gov.au/climate/data/?ref=ftr
Besides the suggested datasets/sources, you may apply any other real-world dataset to illustrate your approach (the different datasets/sources can be combined provided they are real-world data sources).
EVALUATION CRITERIA AND PRIZES
Submissions will be judged based on:
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Creativity of the analytics solution
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Quality of commentary and recommendations
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Expected benefits for users and relevant stakeholders
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Organization and presentation of the submission
Top 10 finalist teams will receive a finalist certificate for each team member and supervisor.
The top 10 finalists will be presented their prizes at the College Park Marriott Hotel & Conference Center, in Adelphi, Maryland (Washington DC), USA, during the 7th International Big Data and Analytics Education Conference hosted by University of Maryland University College, from June 3 - 4, 2019.
REGISTRATION AND SUBMISSION
Teams are required to register by November 30, 2019. Following registration, submissions will be due February 15, 2019. The submissions should include a report (with analytics screenshots and commentary, recommendations, etc.) and a 7 to 15 minutes video presentation link of the team’s solution (to be uploaded to YouTube). Your presentation document should explain the purpose and benefits of your solution. Feel free to make reasonable assumptions as needed.
View these sample videos from past year participants:
2018 First and Third Place Winners
2017 Winner