Solaris (Schneider challenge)
Mean Green Machine (MIT Office of Sustainability challenge)
MasSave (MIT Office of Sustainability challenge)
TraffiX (MassCEC challenge)
H-EDGE (NICE challenge)
All Challenges and results
Cimetrics (problem statement)
Customer First Renewables (problem statement)
Iberdrola/Avangrid (problem statement)
Winner: Crown Joules
Marathon Oil (problem statement)
MassCEC (problem statement)
McKinsey (problem statement)
MIT Office of Sustainability (problem statement)
Winners: MasSave and Mean Green Machine
NICE (problem statement)
Schneider (problem statement)
TEA/Candor (problem statement)
Winner: OR ‘1’=’1
WiTricity (problem statement)
Winner: The Green Wolves
For the event schedule and booklet, see here. Thank you to all of our company sponsors for enabling us to run such a fantastic event, and thank you to everyone who traveled from places as far as across town to across the globe in order to participate in the Engerhack 2018.
On Sunday, November 4, hackers pitched their final presentations to the judges. The semi-finals round ran from 10:00 to 11:20, and each team gave a 5 minute presentation with 4 minutes for questions to 3-4 different judges.
Afterwards, 5 teams from the entire hackathon were selected to present and compete at the Grand Finals, with 4 minutes to present with 3 minutes for questions in front of all participants and the 4 Grand Finals Judges.
A winner was selected for each challenge, and 3 overall winners were selected from the Grand Finals.
Judges were asked to evaluate the solution based following criteria using a numerical rating 1 – 7 (1 – very weak; 7 – very strong).
1) Content – How well do you think the proposed solution addresses the selected challenge? Is the solution clear? Has the team identified gaps in their knowledge and methods to fill these?
2) Validity – This criteria aims to identify whether a solution can actually work, independent of whether it answers the problem. For technical challenges, is the solution technically sound and plausible? For business challenges, does the solution address pain points of customers?
3) Feasibility – We want to know whether the solution can be implemented and how easy it is to implement. We are asking judges to identify how likely the team is to build their solution into a successful business. Are there numerous gaps in their knowledge? Does their team gel and align in various areas? Are they solving a viable problem they can get paid for?