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    urban



  • 21 Jan, 2023
    Street Transformations with Artificial Intelligence

    Futurists have long recognized the promise and disruptive potential of artificial intelligence, but there have been many false starts and AI has developed a reputation for overpromising and underdelivering. Success has been relegated to narrow domains like chess where the task is well-defined, rules are explicit, and the objective is clear. Even in these simplified environments the AI platforms have required teams of engineers working relentlessly to refine and optimize a system of algorithms tailored to the specific task to achieve a notable level of performance.

    artificial-intelligence  urban  design-thinking  Read more →







  • 15 Dec, 2021
    Using Open Data to Identify Landlords

    Data scientists at the Urban Institute develop a methodology for identifying problematic landlords from public data sources.

    spatial  open-data  urban  Read more →







  • 2 Jun, 2019
    A Day in the Life of a Chief Data Officer

    In a RECENT BLOG POST Sam Edelstein reflects on his time as the Chief Data Officer of the City of Syracuse:

    urban  government  open-data  innovation  Read more →







  • 10 Mar, 2019
    Forecasting Gentrification

    Ken Streif at Urban Spatial has introduced an interesting predictive model that cities can adopt to anticipate development intensity and gentrification patterns.

    urban  spatial  open-data  predictive  r  Read more →





    spatial



  • 15 Dec, 2021
    Using Open Data to Identify Landlords

    Data scientists at the Urban Institute develop a methodology for identifying problematic landlords from public data sources.

    spatial  open-data  urban  Read more →







  • 2 Jul, 2019
    Select Cartograms that Fit Your Data Needs

    One of my pet peeves is the use of geographic polygon maps, such as state border shapefiles, to display population data as choropleth maps. Because the brain interprets polygon size as a signal of importance, they are often more misleading than they are insightful!

    spatial  maps  gis  data-viz  Read more →







  • 10 Mar, 2019
    Forecasting Gentrification

    Ken Streif at Urban Spatial has introduced an interesting predictive model that cities can adopt to anticipate development intensity and gentrification patterns.

    urban  spatial  open-data  predictive  r  Read more →





    open-data



  • 13 Jul, 2022
    The Analytics Playbook for Cities

    The Analytics Playbook for Cities

    open-data  government  public-interest-tech  Read more →







  • 15 Dec, 2021
    Using Open Data to Identify Landlords

    Data scientists at the Urban Institute develop a methodology for identifying problematic landlords from public data sources.

    spatial  open-data  urban  Read more →







  • 10 Apr, 2021
    Great Use of APIs for the Public Good

    Nick Muerdter put his programming expertise to use to help communities get vaccinated.

    open-data  API  public-interest-tech  Read more →







  • 11 Mar, 2020
    Epidemiological Models of COVID-19 Spread in R

    Tim Churches, a Senior Research Fellow at the UNSW Medicine South Western Sydney Clinical School at Liverpool Hospital, and a health data scientist at the Ingham Institute for Applied Medical Research, has produced a nice tutorial on acquiring data and creating epidemiological models to understand the spread of the disease.

    open-data  data-viz  open-science  Read more →







  • 7 Jan, 2020
    Twitter Releases API for Academics

    Twitter has kicked off the New Year by taking the wraps off a new hub for academic researchers to more easily access information and support around its APIs — saying the move is in response to feedback from the research community.

    open-data  text-analysis  twitter  Read more →







  • 20 Oct, 2019
    What Makes a Radical and Revolutionary Technology?

    Former US Chief Data Scientist, DJ Patel, spoke on what makes technology radical and revolutionary. At a recent talk he gave some very compelling examples of public services improving when access to data improved:

    open-data  government  Read more →







  • 2 Jun, 2019
    A Day in the Life of a Chief Data Officer

    In a RECENT BLOG POST Sam Edelstein reflects on his time as the Chief Data Officer of the City of Syracuse:

    urban  government  open-data  innovation  Read more →







  • 1 May, 2019
    Effortlessly Add Census Data to Addresses or Points

    IPUMS has created a GeoMarker tool to allow you to add demographic and community data to any address fields or latitude-longitude point data.

    open-data  census  Read more →







  • 13 Apr, 2019
    Data Journalist Demonstrates Impact of Special-Interests on Legislation

    In ground-breaking investigative reporting, data journalist Rob O’Dell and USA Today have systematically tracked the diffusion of cut-and-paste legislation through state government. See:

    text-analysis  LegiScan  data-journalism  open-data  Read more →







  • 24 Mar, 2019
    Harmonized Census Tract Data 1970-2010

    Have you ever tried working with census data over time and encountered challenges with changes to Census tracts, which alter the units of analysis? Then you will appreciate these projects.

    open-data  census  gis  Read more →







  • 20 Mar, 2019
    Finding Data for Public Management / Public Policy Dissertations

    Andy Whitford at the University of Georgia wrote a blog on using DOI Codes to find data appropriate for scholarship in public affairs.

    open-data  public-policy  doi  Read more →







  • 14 Mar, 2019
    Stanford Open Policing Project Provides Data on Racial Bias in Policing

    The Stanford Open Policing Project contains approximately 200 million data points on police stops in the US. The data are made available under the Open Data Commons Attribution License.

    big-data  open-data  bias  police  Read more →







  • 10 Mar, 2019
    Forecasting Gentrification

    Ken Streif at Urban Spatial has introduced an interesting predictive model that cities can adopt to anticipate development intensity and gentrification patterns.

    urban  spatial  open-data  predictive  r  Read more →





    predictive



  • 20 Nov, 2021
    Psychological Profiling Using Social Media Data

    Ever wonder how big data firms are using your social media data?

    big-data  privacy  public-interest-tech  predictive  psychology  Read more →







  • 10 Mar, 2019
    Forecasting Gentrification

    Ken Streif at Urban Spatial has introduced an interesting predictive model that cities can adopt to anticipate development intensity and gentrification patterns.

    urban  spatial  open-data  predictive  r  Read more →





    r



  • 23 Apr, 2019
    A new resource for practicing advanced R programming

    Grosser & Bumann have created a project to help hone data science skills through better programming.

    r  learning-curve  Read more →







  • 20 Apr, 2019
    Working with tables in R (data.table vs dplyr)

    Preparing data for the analysis takes plenty of time and commonly is considered as one of the less favorite parts of any data science job. It is commonly stated that “data preparation accounts for about 80% of the work of data scientists”.

    r  dplyr  tidyverse  data.table  data-wrangling  Read more →







  • 16 Apr, 2019
    Shiny Apps Contest highlights creative ways to make data accessible

    “Shiny” is a package in R that allows users to create dynamic web applications. Typically these apps require advanced knowledge of several web programming languages, but Shiny allows the user to do all of the development in R, greatly simplifying the learning curve and development time.

    r  shiny  contest  data-viz  Read more →







  • 5 Apr, 2019
    Free e-book on popular Plotly package

    Plotly is one of the most popular R packages for creating interactive visualizations.

    r  plotly  data-viz  Read more →







  • 10 Mar, 2019
    Forecasting Gentrification

    Ken Streif at Urban Spatial has introduced an interesting predictive model that cities can adopt to anticipate development intensity and gentrification patterns.

    urban  spatial  open-data  predictive  r  Read more →





    data-viz



  • 11 Mar, 2020
    Epidemiological Models of COVID-19 Spread in R

    Tim Churches, a Senior Research Fellow at the UNSW Medicine South Western Sydney Clinical School at Liverpool Hospital, and a health data scientist at the Ingham Institute for Applied Medical Research, has produced a nice tutorial on acquiring data and creating epidemiological models to understand the spread of the disease.

    open-data  data-viz  open-science  Read more →







  • 2 Jul, 2019
    Select Cartograms that Fit Your Data Needs

    One of my pet peeves is the use of geographic polygon maps, such as state border shapefiles, to display population data as choropleth maps. Because the brain interprets polygon size as a signal of importance, they are often more misleading than they are insightful!

    spatial  maps  gis  data-viz  Read more →







  • 10 Jun, 2019
    Geospatial Health Data Modeling and Visualization

    Paula Moraga has released an online book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (under development), which describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R.

    epidemiology  criminology  demography  health  data-viz  Read more →







  • 16 Apr, 2019
    Shiny Apps Contest highlights creative ways to make data accessible

    “Shiny” is a package in R that allows users to create dynamic web applications. Typically these apps require advanced knowledge of several web programming languages, but Shiny allows the user to do all of the development in R, greatly simplifying the learning curve and development time.

    r  shiny  contest  data-viz  Read more →







  • 5 Apr, 2019
    Free e-book on popular Plotly package

    Plotly is one of the most popular R packages for creating interactive visualizations.

    r  plotly  data-viz  Read more →







  • 11 Mar, 2019
    World Government Summit Data Viz Prize Winners

    In partnership with the World Government Summit and Information is Beautiful, the World Government Summit Data Viz Prize winners were announced. The prize focuses on how governments are improving citizens’ lives.

    data-viz  government  contest  Read more →





    government



  • 13 Jul, 2022
    The Analytics Playbook for Cities

    The Analytics Playbook for Cities

    open-data  government  public-interest-tech  Read more →







  • 20 Oct, 2019
    What Makes a Radical and Revolutionary Technology?

    Former US Chief Data Scientist, DJ Patel, spoke on what makes technology radical and revolutionary. At a recent talk he gave some very compelling examples of public services improving when access to data improved:

    open-data  government  Read more →







  • 21 Sep, 2019
    Introductory textbook on computational skills for modern social sciences

    Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane have released a free textbook on useful computational methods for social sciences:

    learning-curve  big-data  machine-learning  government  Read more →







  • 2 Jun, 2019
    A Day in the Life of a Chief Data Officer

    In a RECENT BLOG POST Sam Edelstein reflects on his time as the Chief Data Officer of the City of Syracuse:

    urban  government  open-data  innovation  Read more →







  • 11 Mar, 2019
    World Government Summit Data Viz Prize Winners

    In partnership with the World Government Summit and Information is Beautiful, the World Government Summit Data Viz Prize winners were announced. The prize focuses on how governments are improving citizens’ lives.

    data-viz  government  contest  Read more →





    contest



  • 23 May, 2019
    Call for White Papers on Data Science Curriculum for Public Service

    The Network of Schools of Public Policy, Affairs, and Administration (NASPAA) has issued a call for white papers on Data Science Curriculum for Public Service.

    contest  curriculum  Read more →







  • 16 Apr, 2019
    Shiny Apps Contest highlights creative ways to make data accessible

    “Shiny” is a package in R that allows users to create dynamic web applications. Typically these apps require advanced knowledge of several web programming languages, but Shiny allows the user to do all of the development in R, greatly simplifying the learning curve and development time.

    r  shiny  contest  data-viz  Read more →







  • 11 Mar, 2019
    World Government Summit Data Viz Prize Winners

    In partnership with the World Government Summit and Information is Beautiful, the World Government Summit Data Viz Prize winners were announced. The prize focuses on how governments are improving citizens’ lives.

    data-viz  government  contest  Read more →





    big-data



  • 20 Nov, 2021
    Psychological Profiling Using Social Media Data

    Ever wonder how big data firms are using your social media data?

    big-data  privacy  public-interest-tech  predictive  psychology  Read more →







  • 21 Sep, 2019
    Introductory textbook on computational skills for modern social sciences

    Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane have released a free textbook on useful computational methods for social sciences:

    learning-curve  big-data  machine-learning  government  Read more →







  • 14 Mar, 2019
    Stanford Open Policing Project Provides Data on Racial Bias in Policing

    The Stanford Open Policing Project contains approximately 200 million data points on police stops in the US. The data are made available under the Open Data Commons Attribution License.

    big-data  open-data  bias  police  Read more →





    bias



  • 21 Jun, 2019
    Can police take a lesson from the NBA on reducing bias?

    Amazingly, the NBA has managed to succeed where many police forces have failed.

    police  criminology  performance-management  bias  Read more →







  • 14 Mar, 2019
    Stanford Open Policing Project Provides Data on Racial Bias in Policing

    The Stanford Open Policing Project contains approximately 200 million data points on police stops in the US. The data are made available under the Open Data Commons Attribution License.

    big-data  open-data  bias  police  Read more →





    police



  • 21 Jun, 2019
    Can police take a lesson from the NBA on reducing bias?

    Amazingly, the NBA has managed to succeed where many police forces have failed.

    police  criminology  performance-management  bias  Read more →







  • 14 Mar, 2019
    Stanford Open Policing Project Provides Data on Racial Bias in Policing

    The Stanford Open Policing Project contains approximately 200 million data points on police stops in the US. The data are made available under the Open Data Commons Attribution License.

    big-data  open-data  bias  police  Read more →





    public-policy



  • 20 Mar, 2019
    Finding Data for Public Management / Public Policy Dissertations

    Andy Whitford at the University of Georgia wrote a blog on using DOI Codes to find data appropriate for scholarship in public affairs.

    open-data  public-policy  doi  Read more →





    doi



  • 20 Mar, 2019
    Finding Data for Public Management / Public Policy Dissertations

    Andy Whitford at the University of Georgia wrote a blog on using DOI Codes to find data appropriate for scholarship in public affairs.

    open-data  public-policy  doi  Read more →





    census



  • 1 May, 2019
    Effortlessly Add Census Data to Addresses or Points

    IPUMS has created a GeoMarker tool to allow you to add demographic and community data to any address fields or latitude-longitude point data.

    open-data  census  Read more →







  • 24 Mar, 2019
    Harmonized Census Tract Data 1970-2010

    Have you ever tried working with census data over time and encountered challenges with changes to Census tracts, which alter the units of analysis? Then you will appreciate these projects.

    open-data  census  gis  Read more →





    gis



  • 2 Jul, 2019
    Select Cartograms that Fit Your Data Needs

    One of my pet peeves is the use of geographic polygon maps, such as state border shapefiles, to display population data as choropleth maps. Because the brain interprets polygon size as a signal of importance, they are often more misleading than they are insightful!

    spatial  maps  gis  data-viz  Read more →







  • 24 Mar, 2019
    Harmonized Census Tract Data 1970-2010

    Have you ever tried working with census data over time and encountered challenges with changes to Census tracts, which alter the units of analysis? Then you will appreciate these projects.

    open-data  census  gis  Read more →





    plotly



  • 5 Apr, 2019
    Free e-book on popular Plotly package

    Plotly is one of the most popular R packages for creating interactive visualizations.

    r  plotly  data-viz  Read more →





    text-analysis



  • 7 Jan, 2020
    Twitter Releases API for Academics

    Twitter has kicked off the New Year by taking the wraps off a new hub for academic researchers to more easily access information and support around its APIs — saying the move is in response to feedback from the research community.

    open-data  text-analysis  twitter  Read more →







  • 13 Apr, 2019
    Data Journalist Demonstrates Impact of Special-Interests on Legislation

    In ground-breaking investigative reporting, data journalist Rob O’Dell and USA Today have systematically tracked the diffusion of cut-and-paste legislation through state government. See:

    text-analysis  LegiScan  data-journalism  open-data  Read more →





    LegiScan



  • 13 Apr, 2019
    Data Journalist Demonstrates Impact of Special-Interests on Legislation

    In ground-breaking investigative reporting, data journalist Rob O’Dell and USA Today have systematically tracked the diffusion of cut-and-paste legislation through state government. See:

    text-analysis  LegiScan  data-journalism  open-data  Read more →





    data-journalism



  • 13 Apr, 2019
    Data Journalist Demonstrates Impact of Special-Interests on Legislation

    In ground-breaking investigative reporting, data journalist Rob O’Dell and USA Today have systematically tracked the diffusion of cut-and-paste legislation through state government. See:

    text-analysis  LegiScan  data-journalism  open-data  Read more →





    shiny



  • 16 Apr, 2019
    Shiny Apps Contest highlights creative ways to make data accessible

    “Shiny” is a package in R that allows users to create dynamic web applications. Typically these apps require advanced knowledge of several web programming languages, but Shiny allows the user to do all of the development in R, greatly simplifying the learning curve and development time.

    r  shiny  contest  data-viz  Read more →





    dplyr



  • 20 Apr, 2019
    Working with tables in R (data.table vs dplyr)

    Preparing data for the analysis takes plenty of time and commonly is considered as one of the less favorite parts of any data science job. It is commonly stated that “data preparation accounts for about 80% of the work of data scientists”.

    r  dplyr  tidyverse  data.table  data-wrangling  Read more →





    tidyverse



  • 20 Apr, 2019
    Working with tables in R (data.table vs dplyr)

    Preparing data for the analysis takes plenty of time and commonly is considered as one of the less favorite parts of any data science job. It is commonly stated that “data preparation accounts for about 80% of the work of data scientists”.

    r  dplyr  tidyverse  data.table  data-wrangling  Read more →





    data.table



  • 20 Apr, 2019
    Working with tables in R (data.table vs dplyr)

    Preparing data for the analysis takes plenty of time and commonly is considered as one of the less favorite parts of any data science job. It is commonly stated that “data preparation accounts for about 80% of the work of data scientists”.

    r  dplyr  tidyverse  data.table  data-wrangling  Read more →





    data-wrangling



  • 20 Apr, 2019
    Working with tables in R (data.table vs dplyr)

    Preparing data for the analysis takes plenty of time and commonly is considered as one of the less favorite parts of any data science job. It is commonly stated that “data preparation accounts for about 80% of the work of data scientists”.

    r  dplyr  tidyverse  data.table  data-wrangling  Read more →





    learning-curve



  • 21 Sep, 2019
    Introductory textbook on computational skills for modern social sciences

    Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane have released a free textbook on useful computational methods for social sciences:

    learning-curve  big-data  machine-learning  government  Read more →







  • 23 Apr, 2019
    A new resource for practicing advanced R programming

    Grosser & Bumann have created a project to help hone data science skills through better programming.

    r  learning-curve  Read more →





    curriculum



  • 23 May, 2019
    Call for White Papers on Data Science Curriculum for Public Service

    The Network of Schools of Public Policy, Affairs, and Administration (NASPAA) has issued a call for white papers on Data Science Curriculum for Public Service.

    contest  curriculum  Read more →





    innovation



  • 2 Jun, 2019
    A Day in the Life of a Chief Data Officer

    In a RECENT BLOG POST Sam Edelstein reflects on his time as the Chief Data Officer of the City of Syracuse:

    urban  government  open-data  innovation  Read more →





    epidemiology



  • 10 Jun, 2019
    Geospatial Health Data Modeling and Visualization

    Paula Moraga has released an online book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (under development), which describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R.

    epidemiology  criminology  demography  health  data-viz  Read more →





    criminology



  • 21 Jun, 2019
    Can police take a lesson from the NBA on reducing bias?

    Amazingly, the NBA has managed to succeed where many police forces have failed.

    police  criminology  performance-management  bias  Read more →







  • 10 Jun, 2019
    Geospatial Health Data Modeling and Visualization

    Paula Moraga has released an online book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (under development), which describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R.

    epidemiology  criminology  demography  health  data-viz  Read more →





    demography



  • 10 Jun, 2019
    Geospatial Health Data Modeling and Visualization

    Paula Moraga has released an online book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (under development), which describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R.

    epidemiology  criminology  demography  health  data-viz  Read more →





    health



  • 10 Jun, 2019
    Geospatial Health Data Modeling and Visualization

    Paula Moraga has released an online book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (under development), which describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R.

    epidemiology  criminology  demography  health  data-viz  Read more →





    performance-management



  • 21 Jun, 2019
    Can police take a lesson from the NBA on reducing bias?

    Amazingly, the NBA has managed to succeed where many police forces have failed.

    police  criminology  performance-management  bias  Read more →





    maps



  • 2 Jul, 2019
    Select Cartograms that Fit Your Data Needs

    One of my pet peeves is the use of geographic polygon maps, such as state border shapefiles, to display population data as choropleth maps. Because the brain interprets polygon size as a signal of importance, they are often more misleading than they are insightful!

    spatial  maps  gis  data-viz  Read more →





    machine-learning



  • 21 Sep, 2019
    Introductory textbook on computational skills for modern social sciences

    Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter and Julia Lane have released a free textbook on useful computational methods for social sciences:

    learning-curve  big-data  machine-learning  government  Read more →





    twitter



  • 7 Jan, 2020
    Twitter Releases API for Academics

    Twitter has kicked off the New Year by taking the wraps off a new hub for academic researchers to more easily access information and support around its APIs — saying the move is in response to feedback from the research community.

    open-data  text-analysis  twitter  Read more →





    open-science



  • 11 Mar, 2020
    Epidemiological Models of COVID-19 Spread in R

    Tim Churches, a Senior Research Fellow at the UNSW Medicine South Western Sydney Clinical School at Liverpool Hospital, and a health data scientist at the Ingham Institute for Applied Medical Research, has produced a nice tutorial on acquiring data and creating epidemiological models to understand the spread of the disease.

    open-data  data-viz  open-science  Read more →





    API



  • 10 Apr, 2021
    Great Use of APIs for the Public Good

    Nick Muerdter put his programming expertise to use to help communities get vaccinated.

    open-data  API  public-interest-tech  Read more →





    public-interest-tech



  • 13 Jul, 2022
    The Analytics Playbook for Cities

    The Analytics Playbook for Cities

    open-data  government  public-interest-tech  Read more →







  • 20 Nov, 2021
    Psychological Profiling Using Social Media Data

    Ever wonder how big data firms are using your social media data?

    big-data  privacy  public-interest-tech  predictive  psychology  Read more →







  • 10 Apr, 2021
    Great Use of APIs for the Public Good

    Nick Muerdter put his programming expertise to use to help communities get vaccinated.

    open-data  API  public-interest-tech  Read more →





    privacy



  • 20 Nov, 2021
    Psychological Profiling Using Social Media Data

    Ever wonder how big data firms are using your social media data?

    big-data  privacy  public-interest-tech  predictive  psychology  Read more →





    psychology



  • 20 Nov, 2021
    Psychological Profiling Using Social Media Data

    Ever wonder how big data firms are using your social media data?

    big-data  privacy  public-interest-tech  predictive  psychology  Read more →





    artificial-intelligence



  • 21 Jan, 2023
    Street Transformations with Artificial Intelligence

    Futurists have long recognized the promise and disruptive potential of artificial intelligence, but there have been many false starts and AI has developed a reputation for overpromising and underdelivering. Success has been relegated to narrow domains like chess where the task is well-defined, rules are explicit, and the objective is clear. Even in these simplified environments the AI platforms have required teams of engineers working relentlessly to refine and optimize a system of algorithms tailored to the specific task to achieve a notable level of performance.

    artificial-intelligence  urban  design-thinking  Read more →





    design-thinking



  • 21 Jan, 2023
    Street Transformations with Artificial Intelligence

    Futurists have long recognized the promise and disruptive potential of artificial intelligence, but there have been many false starts and AI has developed a reputation for overpromising and underdelivering. Success has been relegated to narrow domains like chess where the task is well-defined, rules are explicit, and the objective is clear. Even in these simplified environments the AI platforms have required teams of engineers working relentlessly to refine and optimize a system of algorithms tailored to the specific task to achieve a notable level of performance.

    artificial-intelligence  urban  design-thinking  Read more →







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