Never has the world needed the #MIT hacking mentality more than right now. Join us from May 10-16, for the 4th MIT COVID-19 Challenge virtual event, the MIT COVID-19 Datathon. If you are up for #MITCOVID19Challenge, sign up here: https://t.co/Gm37xbrl4u
Using data from @nycgov's local law 87, @UrbanIntelLab and colleagues show that mandatory building audits lead to some energy savings of approximately –2.5% for multifamily residential buildings and –4.9% for office buildings https://t.co/6B7GThji8L
As NYC gets closer to implementing building energy performance grades, @sokratisp_ and I created a new method: the GREEN Grade. It uses #machinelearning & city-specific data to better predict building energy use, outperforming #EnergyStar. Our paper: https://t.co/Uwuznt1AOd
*Applications due this FRI 2/1*
Civic Analytics Fellowship
Opportunity for @nyuniversity graduate students to work with Constantine Kontokosta (@UrbanIntelLab) on data analytics projects that address critical operational & policy challenges in cities.
https://t.co/7YV1V0kTfH
I scraped @ASCETweets Journal of Computing in Civil Engineering website to see how artificial intelligence has penetrated civil engineering research the past decade. Here is what I found: https://t.co/ukySyNbAtX
#civilengineering#artificialintelligence#research#asce
Interesting. In New York City, per capita household waste generation ranges from approx. 0.32 kg/person/day to as much as 1.0 kg/person/day. There is significant variation based on housing type, demographics, and income. More details are in our paper here: https://t.co/duD5EAlXju
"By building a comprehensive model of how a city functions, we can anticipate where real estate demand will occur in the future," says Prof. Constantine Kontokosta. More on "The Developing Power of #BigData": https://t.co/zX68cEdku1 via @UrbanLandInst@UrbanIntelLab
We've used a 4 billion point cloud #LiDAR dataset for NYC to measure the shape, volume, and surface area of every building (1M+) in the City. Can be used to understand urban density, efficiency, city compactness, etc. More details in our paper: https://t.co/snmpDN1nS3 @NYU_CUSP
Here's our latest paper: "Grading buildings on energy performance using city benchmarking data" https://t.co/Nci4OHGzDd
We develop a new ML method for building energy grades that advances data-driven, transparent approaches for #ClimateAction in cities. @_Sokratis__ @NYU_CUSP
Today I officially launched my personal website/blog. I will be posting about my latest research, tutorials, and individual data science projects I have been working on. Here is my first post:
https://t.co/UcM26OmcJq
Feel free to reach out with comments/suggestions!
@UrbanIntelLab PhD candidate @_Sokratis__ will be presenting some of our findings from a recent study of the impact of mandatory energy audits on building energy use at the upcoming @BECCconference#BECC2018, in collaboration w/ @NYUGuarini & supported by @SloanFoundation & @NSF.