- NYC Open Data Student Showcase 2019
Please join us for our 2nd annual NYC Open Data Student Showcase and learn how to use open data to improve health, safety, quality of life. Register for the event: https://www.eventbrite.com/e/stories-told-by-nyc-open-data-tickets-55235951217 CUNY Queens College students will present interactive analyses and tools they created using Python on the CrossCompute platform. The goal of the event is to demonstrate problem solving techniques using NYC Open Data. CrossCompute partnered with the Tech Incubator at Queens College to design a self-study curriculum that schools can use to create their own Open Data Student Showcase. Students worked with mentors through a series of guided exercises to practice analyzing data, automating analyses and presenting reports. Our mission is to inspire teams around the world to create and share decision-support tools that improve health, safety, quality of life. See our full event agenda with links to slides, results, tools, notebooks: https://bit.ly/nyc-data-20190303 2:00 PM Announcements & Acknowledgments by CrossCompute (Olga Creutzburg) & QC Tech Incubator (Dr. Ying Zhou) 2:10 PM Do Tobacco & E-Cigarette Vendors Decrease School Graduation Rates? by EndFrame (Jendri Morocho, Bryan Liguicota) 2:20 PM An Exploration into the NYC Energy Cost Saving Program for Businesses by Atlas (Paloma Haige Cui, Paige Zipei Wang, William Zeng) 2:30 PM Fallen Leaves Litter Streets, Clog Sewers, Cause Accidents by Data Ninjas (Naiem Gafar, Alex Tenf, Pablo Tenf, Arthur Korchkov) 2:40 PM Analyzing the Regional Effect of For-Hire Vehicles on Public Transit by HN Data Adventurers (Henry Weng, Ning Wei) 2:50 PM Studying the Effect of Diversity on Educational Outcomes by Gist (Michelle Chung) 3:00 PM Predicting Air Pollution from Tree Count by Statistical Symphony (Rocky Singh, Claudia Figueroa, Zharick Ocampo) 3:20 PM Internship Applications by the NYC Mayor's Office of Data Analytics (Mitsue Iwata) 3:30 PM Competition Announcements by CrossCompute (Roy Hyunjin Han) 3:40 PM Science Fair Live Demos - Each Team Stands in a Different Part of the Auditorium and Answers Questions from Passerby
- Computational Approaches to Fight Human Trafficking (Hands-On Workshop)
You MUST register at https://www.eventbrite.com/e/computational-approaches-to-fight-human-trafficking-hands-on-workshop-tickets-4337112420 in order to be allowed into this event. 12:30 Overview 12:35 Talks (See Below) 13:10 Group Activity: Test Hypotheses using Tools in Python 1. Zabyelina "International Framework for Action against Human Trafficking" 2. Schles "Combating Human Trafficking with Data" 3. Shoydokova "Understanding Human Trafficking Trends from News Media and Court Cases" Yuliya Zabyelina is an Assistant Professor at the John Jay College of Criminal Justice, specializing in organized crime. Eric Schles is a Data Scientist at Elucd and Researcher at NYU, previously with the Manhattan DA's Human Trafficking Response Unit. Aida Shoydokova is a Data Scientist at American Express, mining social media and websites to track fraud. We will be using CrossCompute (https://crosscompute.com/) — a platform for prototyping and deploying tools in the browser using Jupyter Notebooks (https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/) — for the hands-on portion of this event. For a brief and fun introduction to CrossCompute, see this video (https://www.youtube.com/watch?v=1LrjT6P0zQk).
- Ask questions during our office hours
Office hours are your opportunity to ask questions. Priority is given to questions related to spatiotemporal analysis for community health and safety. We can help you • Optimize your script • Convert your script into a tool • Show you new techniques • Process data Click here to join our Slack community (http://slackpass.io/spatiotemporal-meetup).
- Localize trends in NYC traffic injuries
Our guest speaker and domain expert will be Hassan Adekoya, IT/GIS Director at the NYC Department of Transportation. We are introducing a new way to deploy computational apps, with an emphasis on spatial and temporal input and output. In this hands-on workshop, participants will work in groups to configure and deploy a geospatial web application to visualize trends in NYC traffic injuries, courtesy of datasets provided by the NYC Department of Transportation. We will cover the basic algorithms behind the application, including how to find nearest neighbors using kd-trees, select an appropriate optimization function and forecast values of a time series. We will also spend the first ten minutes reviewing highlights from the NIPS 2015 conference (http://nips.cc/). Please bring your laptop. Amazon Web Services (https://twitter.com/AWSstartups) is graciously providing a venue for our event. Thank you to Leilani at the NYC AWS Pop-Up Loft and to Jason at Amazon for making this possible. Community health and safety topics • Visualize seasonal trends in NYC traffic injuries Algorithms • Find nearest neighbors using kd-trees • Select optimization techniques • Forecast values of a time series Operations • Write a configuration file to configure a script as an app • Run the app locally • Serve the app locally Agenda 6:30pm Review highlights from NIPS 2015 Montréal (http://nips.cc/) 6:40pm Learn from Hassan Adekoya, IT/GIS Director, NYC Department of Transportation 6:50pm Split into groups and meet each other 7:00pm Guide participants through steps and concepts 7:10pm Help participants as they work through the tutorial Code and walkthrough https://github.com/crosscompute https://pypi.python.org/pypi/crosscompute/ Datasets http://www.nyc.gov/html/dot/html/about/vz_datafeeds.shtml Tips on preparing for winter storms http://m.fema.gov/winter-storms-extreme-cold
- Earthquake survival for families and businesses
Michael Voudouris (http://www.linkedin.com/in/michaelvoudouris) and Gabriela Choy (http://www.linkedin.com/pub/gabriela-choy/1a/854/b78/en) will guide a discussion on practical tips for preparing your family or business to survive an earthquake. Michael is a disaster management expert with over thirty years of experience working in and leading emergency response teams. Gabriela is a spatial analyst and data scientist. IMPORTANT: Please be prepared with at least one tip that you would like to contribute to the discussion. You can prepare for the discussion using the following resources: Great California ShakeOut (http://www.shakeout.org/california/) Great California ShakeOut 2008 Dataset (http://scedc.caltech.edu/research-tools/ShakeOut/) ObsPy: A Python Toolbox for Seismology (http://docs.obspy.org/index.html) Federal Emergency Management Agency Twitter (https://twitter.com/fema) CDC Emergency Preparedness and Response Twitter (https://twitter.com/CDCemergency) 7:00pm All participants introduce themselves. 7:15pm Formal discussion begins. 8:00pm Select topic and moderators for next meetup. 8:15pm Discussion continues informally.
- ACM: Technology Applications for Seismic Events
http://www.meetup.com/SF-Bay-ACM/events/204619822/ Jennifer Strauss, PhD External Relations Officer Berkeley Seismological Laboratory Agenda 6:30 Doors Open, Food & Networking 7:00 Presentation *** Please arrive by 7 PM due to Security *** Event Details More often than not, earthquakes are associated with destruction, losses and general malaise rather than with new and exciting business opportunities. Sure, there are the makers of equipment to measure ground motion who make money, and seismic retrofitting of older structures can be a costly effort. Over the last decade UC Berkeley alone spend more than two billion dollars to make its campus more resilient against the inevitable earthquake shaking. But neither the retrofit nor the production of seismometers has the glamorous image of today's high tech and smart technology. This, however, is about to change as early warning before earthquake shaking is slowly rolled out in California, along the entire US West Coast and elsewhere. In this presentation, we will explore new apps like MyQuake and MyShake, which will bring earthquake education and alerts to your cell phone. We will outline new innovations such as coupling to GPS systems, weather radios, and mass communication systems and how the private sector can help push the technology forward. Speaker Bio Jennifer Strauss is the head of the Berkeley Seismological Laboratory’s Earthquake Research Affiliate Program, which fosters interactions between academic researchers and external partners interested in earthquake information services, including earthquake early warning (EEW) and novel technologies for geophysical research. Working with industry affiliates, legislators, and scientists on bringing an EEW system to the state of California, she also routinely interfaces with emergency managers to build action plans and strategies for hazard mitigation given a small lead time for earthquake warning. She joined the lab in November 2012, after spending three years in the French Alps. She is a Physicist by training, with a research history in powder diffraction, x-ray crystallography, computer modeling, and ice sheet dynamics and radar altimetry studies on the West Antarctic Ice Sheet. She was a Co-Chair of the inaugural Postdoctoral Society of Argonne National Laboratory. She received a Bachelor of Science degree in Physics from the Univ. of Texas at Austin in 2001 and a PhD from Stony Brook University in May 2007. Standing nearly on top of the Hayward Fault, the Berkeley Seismological Laboratory (BSL) provides robust hazard information while engaging in essential geophysical research. Throughout the BSL's long history of innovation (described below), beginning with the 1897 installation of the first seismograph in the western hemisphere, our commitment to probing the Earth's deepest secrets has remained unchanged. http://www.sfbayacm.org/event/technology-applications-seismic-events Event page provided by ACM