DATA ECOSYSTEM DATA ECOSYSTEM O P E N D ATA A S A B R I D G E T O B U I L D A D ATA E C O S Y S T E M T O D E L I V E R S E R V I C E T O R E S I D E N T S O P E N D ATA A S A B R I D G E T O B U I L D A D ATA E C O S Y S T E M T O D E L I V E R S E R V I C E T O R E S I D E N T S @CHICAGOCDO @CHICAGOCDO
data.cityofchicago.org Chicago’s open data portal provides almost 600 datasets that are updated on a daily basis, ranging from crimes to the quality of water on beaches.
data.cityofchicago.org/view/caas-knxs Chicago has released more data, including important items such as red light and speed camera violations, problem landlords, and public chauffeurs.
DATOS ABIERTO PROPORCIONA UN MEDIO PARA CREAR UN ECOSISTEMA ALREDEDOR DE DATOS, QUE INCLUYE LOS INTERESADOS E INICIATIVAS MÚLTIPLES QUE SE EXTIENDA MÁS ALLÁ DE TRANSPARENCIA.
“Open data initiatives are an increasingly popular component of governance. At the national level, Chicago’s open data initiative has been held up as a model for cities that are seeking to start their own open data programs.” - National League of Cities, p. 22
We released our automation framework as an open-source project that can be downloaded to quickly deploy automated updates. It can be freely used by other governments and improvements can be submitted. ETL Utility Kit github.com/Chicago/open-data-etl-utility-kit
Chicago has a large, vibrant, productive, civic community. This is led by Chicago residents interested in technology and society. Smart Chicago Collaborative and non-profits provide assistance and city officials regularly engage in meetups and other activities. This group has produced several helpful apps. Community
THE OPEN DATA PORTAL IS NOT SUFFICIENT FOR THE COMMUNITY, BUT SERVES AS THE TOWN SQUARE FOR A COMMUNITY, PROVIDING A COMMON TOPIC OF CONVERSATION FOR EVERYONE.
LOS DATOS ABIERTOS PORTAL NO ES SUFICIENTE PARA LA COMUNIDAD, PERO SIRVE COMO LA PLAZA DEL PUEBLO PARA UNA COMUNIDAD, PROPORCIONANDO UN TEMA COMÚN DE CONVERSACIÓN PARA TODOS.
Using #opendata, this service developed by the civic community alerts individuals to street sweeping activity by providing email, text, or calendar alerts. sweeparound.us
The City of Chicago partnered with developers to create LargeLots, a website using #opendata to help residents apply to the City of Chicago $1 lot program designed to encourage investment in struggling neighborhoods. largelots.org
Chicago Flu Shots was developed to easily find flu-shot locations across Chicago during the fall and winter months. This provides an easy-to-use central website built upon open data by a volunteer. chicagoflushots.org
This site shows the work completed by city crews and is also based on the data portal. It provides summary statistics of potholes filled, graffiti removal, and other work completed by city council ward. chicagoworksforyou
OPEN DATA & INTERNET OF THINGS University of Chicago has partnered with multiple institutions to build a mesh network of small sensors, dubbed the Array of Things, that will frequently post data for public consumption. arrayofthings.github.io
Array of Things The Array of Things will provide hyper- local, temporal data on using a variety of sensors: §Sensors measuring sound and vibration §Low-resolution infrared cameras measuring sidewalk temperature §Climate and environmental data, such as air-quality and temperature
Sometimes, the terms & conditions were onerous for companies to use data. Likewise, people wanted to sometimes correct our data. Data posted on GitHub can be edited by others and comes with a business-friendly MIT license. Open-source data github.com/Chicago/osd-street-center-line
Open-source data (and the MIT license) allowed openstreetmaps.org to import all of the building footprints in the city, giving the shape of the city to its users.
The City of Chicago releases a number of open source projects which can be adopted by other cities or modified by outside developers. This allows a greater community to improve city projects. Open Source Projects github.com/Chicago/RSocrata
A non-profit which has three primary areas of focus under which we organize all of our work: Access to the Internet & technology, Skills to use technology once you've got access, and Data, which we construe as something meaningful to look at once you have access and skills.
Smart Chicago’s Civic User Testing group provides incentives and is tailored to encourage regular residents to provide feedback on applications, ensuring they reach beyond a technical audiences. Civic User Testing cutgroup.com
Hackathons Frequently hosted by multiple groups, helps establish networking amongst civic developers. However, these events rarely lead to “Learnathons” Weekend events dedicated to providing free workshops on introductory data analysis and advanced analysis. Using the data portal and open-source software tools.
Incorporating a data-driven practice is contingent on leadership, practice, and technology. Most cities have the technology framework in place, it just needs to be added. REPORTS DATABASES PORTAL ANALYTICS
Built using open source software, WindyGrid is a real- time situational awareness system that brings over a dozen data sources together into a single application. This year, it will be released as an open source project. WindyGrid
Chicago uses Twitter to “listen” for complaints of food poisoning. When we identify a case, a tweet is sent to the user and requesting the case be reported to the city for follow- up inspection. Food Poisoning
City of Chicago found 31 factors that predicted when and where rodent complaints are most likely in the next week. We used spatial- temporal relationships to create these predictions, which started as an investigation of over 350 different factors. Spatial Correlation Temporal Correlation
#ENGAGEMENT The City of Chicago teamed-up with the Civic Consulting Alliance and Allstate Insurance Company’s data science team to help develop the predictive model. Data from the open data portal was used to develop the model. While other data were considered, almost all of the useful data was publicly available.
data.cityofchicago.org/view/2bnm-jnvb Chicago leveraged the open data portal to share data with external researchers, leveraging the city’s premiere method of sharing data and saving time on data- sharing agreements. #OPENDATA
Restaurants with previous critical violations Three-day average high temperature CDPH risk level Location of restaurant Nearby garbage and sanitation complaints Type of facility Nearby burglaries Whether the establishment has a tobacco or has an incidental alcohol consumption license. Length of time since last inspection. Length of time the restaurant has been inspecting. The model predicts the likelihood of a food establishment having a critical violation, a violation most likely to lead to food borne illnesses. Over a dozen data sources were used to help define the model. Ultimately, ten different variables proved to be useful predictors of critical violations. Significant Predictors:
Data-driven Status quo 0% 10% 20% 30% 40% 50% 60% 70% The research revealed an opportunity to find deliver results faster. Within the first half of work, 69% of critical violations would have been found by inspectors using a data-driven approach. During the same period, only 55% of violations were found using the status quo method. Critical violations
After comparing a data-driven approach versus the current methods, the rate of finding violations was accelerated by an average of 7.4 days in the 60 day pilot. That means more violations would be found sooner by CDPH’s inspectors. 7 days IMPROVEMENT The food inspection model is able to deliver results faster.
OPTIMIZING FOOD INSPECTIONS Impact Discovering critical violations sooner rather than later reduces the risk of patrons becoming ill, which helps reduce medical expenses, lost time at work, and even a limited number of fatalities.
The project was released using an academic- quality technical paper instructing others on the variables and statistical methodology used in the project. In addition to source code, the paper will help researchers adopt this approach. Technical Documentation
The technical paper was written as a highly- reproducible “knitr” document, allowing other researchers to understand how summary numbers were calculated. Each statement in the project can be traced to an original source. Reproducible Research
http://github.com/Chicago The analytical model will be released as an open source project on GitHub, allowing other cities to study or even adopt the model in their respective cities. No other city has released their analytic models before this release. #OPENSOURCE
THANK YOU Contact Info: Websites: Tom Schenk Jr. Chief Data Officer City of Chicago @ChicagoCDO [email protected] data.cityofchicago.org github.com/Chicago techplan.cityofchicago.org report.cityofchicago.org opengovhacknight.org arrayofthings.github.io datadictionary.cityofchicago.org digital.cityofchicago.org
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