Auerbach, Jeremy, Blackburn, Christopher, Barton, Hayley, Meng, Amanda, and Zegura, Ellen. Coupling data science with community crowdsourcing for urban renewal policy analysis: An evaluation of Atlanta’s Anti-Displacement Tax Fund. Retrieved from https://par.nsf.gov/biblio/10086806. Environment and Planning B: Urban Analytics and City Science . Web. doi:10.1177/2399808318819847.

Auerbach, Jeremy, Blackburn, Christopher, Barton, Hayley, Meng, Amanda, & Zegura, Ellen. Coupling data science with community crowdsourcing for urban renewal policy analysis: An evaluation of Atlanta’s Anti-Displacement Tax Fund. Environment and Planning B: Urban Analytics and City Science, (). Retrieved from https://par.nsf.gov/biblio/10086806. https://doi.org/10.1177/2399808318819847

Auerbach, Jeremy, Blackburn, Christopher, Barton, Hayley, Meng, Amanda, and Zegura, Ellen. "Coupling data science with community crowdsourcing for urban renewal policy analysis: An evaluation of Atlanta’s Anti-Displacement Tax Fund". Environment and Planning B: Urban Analytics and City Science (). Country unknown/Code not available. https://doi.org/10.1177/2399808318819847. https://par.nsf.gov/biblio/10086806.

@article{osti_10086806,
place = {Country unknown/Code not available}, title = {Coupling data science with community crowdsourcing for urban renewal policy analysis: An evaluation of Atlanta’s Anti-Displacement Tax Fund}, url = {https://par.nsf.gov/biblio/10086806}, DOI = {10.1177/2399808318819847}, abstractNote = {}, journal = {Environment and Planning B: Urban Analytics and City Science}, author = {Auerbach, Jeremy and Blackburn, Christopher and Barton, Hayley and Meng, Amanda and Zegura, Ellen}, }