SlideShare a Scribd company logo
1 of 29
MAYOR’S OFFICE OF
PERFORMANCE &
INNOVATION
CitiStat | Innovation
1
Data in the City: Analytics
and Civic Data in Baltimore
Justin Elszasz, Deputy Director/Analytics Lead, Mayor’s Office of Performance &
Innovation
Babila Lima, Director, Business Process Improvement Office, Department of General
Services
August 28, 2019
2
What does the city do with its data?
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
3
Where are all the data people?
What are they doing?
Are they working on any cool problems?
How can I help?
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
4
Where are all the data people?
What are they doing?
Are they working on any cool problems?
How can I help?
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
5
Justin!
Babila!
(obligatory nod to
democracy)
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
6
Budget Analysts
Crime Analysts
Automation & Tech
Epidemiologists
Chief Data Officer
Database Admins
Analysts (CitiStat)
Data Science (i-team)
GIS Analysts
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
7
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
8
City Data Fellows
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
9
Where are all the data people?
What are they doing?
Are they working on any cool problems?
How can I help?
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
10
MAYOR’S OFFICE OF
PERFORMANCE & INNOVATION+ =
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
11
Performance Measurement +
Management
Accountability
Tactical/Operations Improvements
Multi-Agency Coordination
Single Mayoral Priority Focus
Data + Human-Centered Design
Creative Problem-Solving
Bloomberg Philanthropies-funded
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
12
PoliceStat
Towards deeper reporting and analysis
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
13
CleanStat
Hotspots to test better cleaning strategies
3300 blk Woodland Ave
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
14
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
15
Extension
Project
Task
Automation
Paperless
Government
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
Examples (Less Manual)
● Documentation & Scripts for Annual Outcome Budget Measures
● Energy Consumption Pipeline
● Timesheet Reminders -- Gollandbot
● Position Description & Job Posting Creator
● Unpacking PDFs -- Elevators & Amortization Schedules
● BoE Review
● Compensation Parity Analysis
16
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
17
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
Examples (Less Time/Effort)
● Change Orders -- pennywise & pound foolish
● Mobile Maintenance -- a “downtown” preference exposed
● Do we Need a People Pipeline -- An Analysis to Support Creation of a Govt
Fellowship Program
18
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
19
data.world
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
20
Where are all the data people?
What are they doing?
Are they working on any cool problems?
How can I help?
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
21
How do we know if a house is
abandoned?
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
22
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
23
24
Vacant
No one is living in the house
No one is living in the house
Resident complains or inspector notices
Code violations
Vacant Building Notice (VBN)
Unoccupied
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
25
Assistance for things like
weatherization or
maintenance is available
to help homeowners
afford to keep living in
their home, but isn’t
necessarily well-targeted,
especially in middle
neighborhoods where the
market dynamics aren’t
well understood.
If we knew which
houses were at risk of
the homeowner
abandoning the
property...
...or even identify which
ones have recently been
abandoned, we could
intervene sooner,
preventing homes from
falling into disrepair,
harming the
neighborhood, and
requiring even more time
and money to rectify.
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
26
Mosaic flyover imagery
Rooftop Health Classification
GIS Data Individual parcel
images
Good condition
Good condition
Poor condition
Youthworks
Rooftop
Project
Housing Occupancy Model
Unoccupied
or
Occupied
Housing
Data
Water
Usage
External Data
(USPS/direct
mailing)
Rooftop
Model
Occupancy
Model
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
27
Where are all the data people?
What are they doing?
Are they working on any cool problems?
How can I help?
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
28
Building Capacity
MAYOR’S OFFICE OF PERFORMANCE
& INNOVATION
CitiStat | Innovation
Thank you!Learn more at:
opi.baltimorecity.gov
generalservices.baltimorecity.gov
29

More Related Content

Similar to Data in the City: Analytics and Civic Data in Baltimore

Competitive cities for jobs and growth. What, who and how.
Competitive cities for jobs and growth. What, who and how.Competitive cities for jobs and growth. What, who and how.
Competitive cities for jobs and growth. What, who and how.Moscow Urban Forum
 
The Second Machine Age
The Second Machine AgeThe Second Machine Age
The Second Machine AgeCY N
 
Big Data - Socio economic perspectives by Shanta R Yapa
Big Data - Socio economic perspectives by Shanta R YapaBig Data - Socio economic perspectives by Shanta R Yapa
Big Data - Socio economic perspectives by Shanta R YapaDr. SHANTA Rajapaksha YAPA
 
Data Science and Innovation: An Introduction
Data Science and Innovation: An IntroductionData Science and Innovation: An Introduction
Data Science and Innovation: An IntroductionDrTanatorn
 
Presentation identifying 20entrepreneurial_opportunities_in_norway_25102015
Presentation identifying 20entrepreneurial_opportunities_in_norway_25102015Presentation identifying 20entrepreneurial_opportunities_in_norway_25102015
Presentation identifying 20entrepreneurial_opportunities_in_norway_25102015Francis Stevens George
 
Cities and corporations how do they intersect on sustainability?
Cities and corporations  how do they intersect on sustainability?  Cities and corporations  how do they intersect on sustainability?
Cities and corporations how do they intersect on sustainability? Sustainable Brands
 
Big data, open data and telepathy : building better places to live, work and ...
Big data, open data and telepathy: building better places to live, work and ...Big data, open data and telepathy: building better places to live, work and ...
Big data, open data and telepathy : building better places to live, work and ...Rick Robinson
 
IEEE: GlobalInnovationOutlook ServiceScience 8nov07
IEEE: GlobalInnovationOutlook ServiceScience 8nov07IEEE: GlobalInnovationOutlook ServiceScience 8nov07
IEEE: GlobalInnovationOutlook ServiceScience 8nov07Stan Curtis
 
Presentation 2 cut
Presentation 2 cutPresentation 2 cut
Presentation 2 cutEITESAL NGO
 
Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...
Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...
Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...Agile Lietuva
 
Collabgov2
Collabgov2Collabgov2
Collabgov2osimod
 
15.11.18 Local govt in the 21st century - enkel collective
15.11.18   Local govt in the 21st century - enkel collective15.11.18   Local govt in the 21st century - enkel collective
15.11.18 Local govt in the 21st century - enkel collectiveenkelcollective
 
Summary presentation for the GIC Day One
Summary presentation for the GIC Day OneSummary presentation for the GIC Day One
Summary presentation for the GIC Day OneDiploFoundation
 
Blair Levin - Next Generation of Urban Development & Next Administration - GCS16
Blair Levin - Next Generation of Urban Development & Next Administration - GCS16Blair Levin - Next Generation of Urban Development & Next Administration - GCS16
Blair Levin - Next Generation of Urban Development & Next Administration - GCS16KC Digital Drive
 
Tvm mile-webinar-150616-temp
Tvm mile-webinar-150616-tempTvm mile-webinar-150616-temp
Tvm mile-webinar-150616-tempPeter Burgess
 

Similar to Data in the City: Analytics and Civic Data in Baltimore (20)

Economic Gardening Using Information
Economic Gardening Using InformationEconomic Gardening Using Information
Economic Gardening Using Information
 
Competitive cities for jobs and growth. What, who and how.
Competitive cities for jobs and growth. What, who and how.Competitive cities for jobs and growth. What, who and how.
Competitive cities for jobs and growth. What, who and how.
 
The Second Machine Age
The Second Machine AgeThe Second Machine Age
The Second Machine Age
 
Big Data - Socio economic perspectives by Shanta R Yapa
Big Data - Socio economic perspectives by Shanta R YapaBig Data - Socio economic perspectives by Shanta R Yapa
Big Data - Socio economic perspectives by Shanta R Yapa
 
Data Science and Innovation: An Introduction
Data Science and Innovation: An IntroductionData Science and Innovation: An Introduction
Data Science and Innovation: An Introduction
 
Big Data – Smart Opportunities
Big Data – Smart OpportunitiesBig Data – Smart Opportunities
Big Data – Smart Opportunities
 
Presentation identifying 20entrepreneurial_opportunities_in_norway_25102015
Presentation identifying 20entrepreneurial_opportunities_in_norway_25102015Presentation identifying 20entrepreneurial_opportunities_in_norway_25102015
Presentation identifying 20entrepreneurial_opportunities_in_norway_25102015
 
How to make_a_city_great
How to make_a_city_greatHow to make_a_city_great
How to make_a_city_great
 
Big data, meager returns
Big data, meager returns Big data, meager returns
Big data, meager returns
 
sylviane toporkoff one conference prague 2013
sylviane toporkoff one conference  prague 2013sylviane toporkoff one conference  prague 2013
sylviane toporkoff one conference prague 2013
 
Cities and corporations how do they intersect on sustainability?
Cities and corporations  how do they intersect on sustainability?  Cities and corporations  how do they intersect on sustainability?
Cities and corporations how do they intersect on sustainability?
 
Big data, open data and telepathy : building better places to live, work and ...
Big data, open data and telepathy: building better places to live, work and ...Big data, open data and telepathy: building better places to live, work and ...
Big data, open data and telepathy : building better places to live, work and ...
 
IEEE: GlobalInnovationOutlook ServiceScience 8nov07
IEEE: GlobalInnovationOutlook ServiceScience 8nov07IEEE: GlobalInnovationOutlook ServiceScience 8nov07
IEEE: GlobalInnovationOutlook ServiceScience 8nov07
 
Presentation 2 cut
Presentation 2 cutPresentation 2 cut
Presentation 2 cut
 
Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...
Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...
Tom Loosemore - Jungtinės Karalystės patirtis: kodėl visos valstybės IS kuria...
 
Collabgov2
Collabgov2Collabgov2
Collabgov2
 
15.11.18 Local govt in the 21st century - enkel collective
15.11.18   Local govt in the 21st century - enkel collective15.11.18   Local govt in the 21st century - enkel collective
15.11.18 Local govt in the 21st century - enkel collective
 
Summary presentation for the GIC Day One
Summary presentation for the GIC Day OneSummary presentation for the GIC Day One
Summary presentation for the GIC Day One
 
Blair Levin - Next Generation of Urban Development & Next Administration - GCS16
Blair Levin - Next Generation of Urban Development & Next Administration - GCS16Blair Levin - Next Generation of Urban Development & Next Administration - GCS16
Blair Levin - Next Generation of Urban Development & Next Administration - GCS16
 
Tvm mile-webinar-150616-temp
Tvm mile-webinar-150616-tempTvm mile-webinar-150616-temp
Tvm mile-webinar-150616-temp
 

More from Data Works MD

Data Journalism at The Baltimore Banner
Data Journalism at The Baltimore BannerData Journalism at The Baltimore Banner
Data Journalism at The Baltimore BannerData Works MD
 
Jolt’s Picks - Machine Learning and Major League Baseball Hit Streaks
Jolt’s Picks - Machine Learning and Major League Baseball Hit StreaksJolt’s Picks - Machine Learning and Major League Baseball Hit Streaks
Jolt’s Picks - Machine Learning and Major League Baseball Hit StreaksData Works MD
 
Introducing DataWave
Introducing DataWaveIntroducing DataWave
Introducing DataWaveData Works MD
 
Malware Detection, Enabled by Machine Learning
Malware Detection, Enabled by Machine LearningMalware Detection, Enabled by Machine Learning
Malware Detection, Enabled by Machine LearningData Works MD
 
Using AWS, Terraform, and Ansible to Automate Splunk at Scale
Using AWS, Terraform, and Ansible to Automate Splunk at ScaleUsing AWS, Terraform, and Ansible to Automate Splunk at Scale
Using AWS, Terraform, and Ansible to Automate Splunk at ScaleData Works MD
 
A Day in the Life of a Data Journalist
A Day in the Life of a Data JournalistA Day in the Life of a Data Journalist
A Day in the Life of a Data JournalistData Works MD
 
Robotics and Machine Learning: Working with NVIDIA Jetson Kits
Robotics and Machine Learning: Working with NVIDIA Jetson KitsRobotics and Machine Learning: Working with NVIDIA Jetson Kits
Robotics and Machine Learning: Working with NVIDIA Jetson KitsData Works MD
 
Connect Data and Devices with Apache NiFi
Connect Data and Devices with Apache NiFiConnect Data and Devices with Apache NiFi
Connect Data and Devices with Apache NiFiData Works MD
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine LearningData Works MD
 
Exploring Correlation Between Sentiment of Environmental Tweets and the Stock...
Exploring Correlation Between Sentiment of Environmental Tweets and the Stock...Exploring Correlation Between Sentiment of Environmental Tweets and the Stock...
Exploring Correlation Between Sentiment of Environmental Tweets and the Stock...Data Works MD
 
Automated Software Requirements Labeling
Automated Software Requirements LabelingAutomated Software Requirements Labeling
Automated Software Requirements LabelingData Works MD
 
Introduction to Elasticsearch for Business Intelligence and Application Insights
Introduction to Elasticsearch for Business Intelligence and Application InsightsIntroduction to Elasticsearch for Business Intelligence and Application Insights
Introduction to Elasticsearch for Business Intelligence and Application InsightsData Works MD
 
An Asynchronous Distributed Deep Learning Based Intrusion Detection System fo...
An Asynchronous Distributed Deep Learning Based Intrusion Detection System fo...An Asynchronous Distributed Deep Learning Based Intrusion Detection System fo...
An Asynchronous Distributed Deep Learning Based Intrusion Detection System fo...Data Works MD
 
RAPIDS – Open GPU-accelerated Data Science
RAPIDS – Open GPU-accelerated Data ScienceRAPIDS – Open GPU-accelerated Data Science
RAPIDS – Open GPU-accelerated Data ScienceData Works MD
 
Two Algorithms for Weakly Supervised Denoising of EEG Data
Two Algorithms for Weakly Supervised Denoising of EEG DataTwo Algorithms for Weakly Supervised Denoising of EEG Data
Two Algorithms for Weakly Supervised Denoising of EEG DataData Works MD
 
Detecting Lateral Movement with a Compute-Intense Graph Kernel
Detecting Lateral Movement with a Compute-Intense Graph KernelDetecting Lateral Movement with a Compute-Intense Graph Kernel
Detecting Lateral Movement with a Compute-Intense Graph KernelData Works MD
 
Predictive Analytics and Neighborhood Health
Predictive Analytics and Neighborhood HealthPredictive Analytics and Neighborhood Health
Predictive Analytics and Neighborhood HealthData Works MD
 
Social Network Analysis Workshop
Social Network Analysis WorkshopSocial Network Analysis Workshop
Social Network Analysis WorkshopData Works MD
 

More from Data Works MD (18)

Data Journalism at The Baltimore Banner
Data Journalism at The Baltimore BannerData Journalism at The Baltimore Banner
Data Journalism at The Baltimore Banner
 
Jolt’s Picks - Machine Learning and Major League Baseball Hit Streaks
Jolt’s Picks - Machine Learning and Major League Baseball Hit StreaksJolt’s Picks - Machine Learning and Major League Baseball Hit Streaks
Jolt’s Picks - Machine Learning and Major League Baseball Hit Streaks
 
Introducing DataWave
Introducing DataWaveIntroducing DataWave
Introducing DataWave
 
Malware Detection, Enabled by Machine Learning
Malware Detection, Enabled by Machine LearningMalware Detection, Enabled by Machine Learning
Malware Detection, Enabled by Machine Learning
 
Using AWS, Terraform, and Ansible to Automate Splunk at Scale
Using AWS, Terraform, and Ansible to Automate Splunk at ScaleUsing AWS, Terraform, and Ansible to Automate Splunk at Scale
Using AWS, Terraform, and Ansible to Automate Splunk at Scale
 
A Day in the Life of a Data Journalist
A Day in the Life of a Data JournalistA Day in the Life of a Data Journalist
A Day in the Life of a Data Journalist
 
Robotics and Machine Learning: Working with NVIDIA Jetson Kits
Robotics and Machine Learning: Working with NVIDIA Jetson KitsRobotics and Machine Learning: Working with NVIDIA Jetson Kits
Robotics and Machine Learning: Working with NVIDIA Jetson Kits
 
Connect Data and Devices with Apache NiFi
Connect Data and Devices with Apache NiFiConnect Data and Devices with Apache NiFi
Connect Data and Devices with Apache NiFi
 
Introduction to Machine Learning
Introduction to Machine LearningIntroduction to Machine Learning
Introduction to Machine Learning
 
Exploring Correlation Between Sentiment of Environmental Tweets and the Stock...
Exploring Correlation Between Sentiment of Environmental Tweets and the Stock...Exploring Correlation Between Sentiment of Environmental Tweets and the Stock...
Exploring Correlation Between Sentiment of Environmental Tweets and the Stock...
 
Automated Software Requirements Labeling
Automated Software Requirements LabelingAutomated Software Requirements Labeling
Automated Software Requirements Labeling
 
Introduction to Elasticsearch for Business Intelligence and Application Insights
Introduction to Elasticsearch for Business Intelligence and Application InsightsIntroduction to Elasticsearch for Business Intelligence and Application Insights
Introduction to Elasticsearch for Business Intelligence and Application Insights
 
An Asynchronous Distributed Deep Learning Based Intrusion Detection System fo...
An Asynchronous Distributed Deep Learning Based Intrusion Detection System fo...An Asynchronous Distributed Deep Learning Based Intrusion Detection System fo...
An Asynchronous Distributed Deep Learning Based Intrusion Detection System fo...
 
RAPIDS – Open GPU-accelerated Data Science
RAPIDS – Open GPU-accelerated Data ScienceRAPIDS – Open GPU-accelerated Data Science
RAPIDS – Open GPU-accelerated Data Science
 
Two Algorithms for Weakly Supervised Denoising of EEG Data
Two Algorithms for Weakly Supervised Denoising of EEG DataTwo Algorithms for Weakly Supervised Denoising of EEG Data
Two Algorithms for Weakly Supervised Denoising of EEG Data
 
Detecting Lateral Movement with a Compute-Intense Graph Kernel
Detecting Lateral Movement with a Compute-Intense Graph KernelDetecting Lateral Movement with a Compute-Intense Graph Kernel
Detecting Lateral Movement with a Compute-Intense Graph Kernel
 
Predictive Analytics and Neighborhood Health
Predictive Analytics and Neighborhood HealthPredictive Analytics and Neighborhood Health
Predictive Analytics and Neighborhood Health
 
Social Network Analysis Workshop
Social Network Analysis WorkshopSocial Network Analysis Workshop
Social Network Analysis Workshop
 

Recently uploaded

SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAndikSusilo4
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?XfilesPro
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 

Recently uploaded (20)

SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Azure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & ApplicationAzure Monitor & Application Insight to monitor Infrastructure & Application
Azure Monitor & Application Insight to monitor Infrastructure & Application
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?How to Remove Document Management Hurdles with X-Docs?
How to Remove Document Management Hurdles with X-Docs?
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 

Data in the City: Analytics and Civic Data in Baltimore

  • 1. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 1 Data in the City: Analytics and Civic Data in Baltimore Justin Elszasz, Deputy Director/Analytics Lead, Mayor’s Office of Performance & Innovation Babila Lima, Director, Business Process Improvement Office, Department of General Services August 28, 2019
  • 2. 2 What does the city do with its data?
  • 3. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 3 Where are all the data people? What are they doing? Are they working on any cool problems? How can I help?
  • 4. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 4 Where are all the data people? What are they doing? Are they working on any cool problems? How can I help?
  • 5. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 5 Justin! Babila! (obligatory nod to democracy)
  • 6. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 6 Budget Analysts Crime Analysts Automation & Tech Epidemiologists Chief Data Officer Database Admins Analysts (CitiStat) Data Science (i-team) GIS Analysts
  • 7. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 7
  • 8. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 8 City Data Fellows
  • 9. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 9 Where are all the data people? What are they doing? Are they working on any cool problems? How can I help?
  • 10. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 10 MAYOR’S OFFICE OF PERFORMANCE & INNOVATION+ =
  • 11. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 11 Performance Measurement + Management Accountability Tactical/Operations Improvements Multi-Agency Coordination Single Mayoral Priority Focus Data + Human-Centered Design Creative Problem-Solving Bloomberg Philanthropies-funded
  • 12. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 12 PoliceStat Towards deeper reporting and analysis
  • 13. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 13 CleanStat Hotspots to test better cleaning strategies 3300 blk Woodland Ave
  • 14. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 14
  • 15. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 15 Extension Project Task Automation Paperless Government
  • 16. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation Examples (Less Manual) ● Documentation & Scripts for Annual Outcome Budget Measures ● Energy Consumption Pipeline ● Timesheet Reminders -- Gollandbot ● Position Description & Job Posting Creator ● Unpacking PDFs -- Elevators & Amortization Schedules ● BoE Review ● Compensation Parity Analysis 16
  • 17. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 17
  • 18. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation Examples (Less Time/Effort) ● Change Orders -- pennywise & pound foolish ● Mobile Maintenance -- a “downtown” preference exposed ● Do we Need a People Pipeline -- An Analysis to Support Creation of a Govt Fellowship Program 18
  • 19. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 19 data.world
  • 20. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 20 Where are all the data people? What are they doing? Are they working on any cool problems? How can I help?
  • 21. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 21 How do we know if a house is abandoned?
  • 22. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 22
  • 23. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 23
  • 24. 24 Vacant No one is living in the house No one is living in the house Resident complains or inspector notices Code violations Vacant Building Notice (VBN) Unoccupied
  • 25. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 25 Assistance for things like weatherization or maintenance is available to help homeowners afford to keep living in their home, but isn’t necessarily well-targeted, especially in middle neighborhoods where the market dynamics aren’t well understood. If we knew which houses were at risk of the homeowner abandoning the property... ...or even identify which ones have recently been abandoned, we could intervene sooner, preventing homes from falling into disrepair, harming the neighborhood, and requiring even more time and money to rectify.
  • 26. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 26 Mosaic flyover imagery Rooftop Health Classification GIS Data Individual parcel images Good condition Good condition Poor condition Youthworks Rooftop Project Housing Occupancy Model Unoccupied or Occupied Housing Data Water Usage External Data (USPS/direct mailing) Rooftop Model Occupancy Model
  • 27. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 27 Where are all the data people? What are they doing? Are they working on any cool problems? How can I help?
  • 28. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation 28 Building Capacity
  • 29. MAYOR’S OFFICE OF PERFORMANCE & INNOVATION CitiStat | Innovation Thank you!Learn more at: opi.baltimorecity.gov generalservices.baltimorecity.gov 29