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GEOMETRY FOR
SOCIAL GOOD
Colleen M. Farrelly
Who am I?
◦ Author of forthcoming book, The
Shape of Data
◦ Former public health practitioner
◦ Researcher on spatial and temporal
analytics
◦ Miami sociologist and advocate
THE TOOLS
Persistent Homology
◦ From a branch of math called topology that
deals with global properties of an object
◦ Creates series of distance-based objects
(simplicial complexes)
◦ Tracks features across series
◦ Can be used to compare data over time,
geography, or samples
◦ Easy-to-visualize plots for each feature-tracking
dataset
◦ Connection to Euler Characteristic
Forman-
Ricci
Curvature
◦ Network science
metric
◦ Measures
curvature on a
graph
◦ Tug of hubs and
connections on a
vertex
◦ Very useful for
understanding
change points over
space and time
Generative AI and
Diffusion Methods
◦ Deep learning algorithm that can couple
with diffusion to evolve a picture or
image
◦ Deep neural network architecture to create
an image from text
◦ Differential equation/geometry algorithms
to evolve the image to the artist’s liking
◦ Finding popularity in art and generation of
educational material
APPLICATIONS
Persistent Homology
◦ Finding urban growth tipping points
◦ Infrastructure, public health, environmental
issues
◦ Tracking climate change
◦ Avoiding points of no return
◦ Finding change points in epidemic case growth
◦ Resource allocation
Forman-Ricci
Curvature
◦ Food price crisis tracking over
markets across Burkina Faso
◦ Ebola models across DRCongo
2018 outbreak
◦ Tipping populations into healthy
behavior
Generative AI
◦ Public Health
Education
◦ Mask
campaigns
◦ Vaccination
campaigns
◦ Infant
nutrition
campaigns
◦ HIV education
THE NEED FOR REPRESENTATION
Good Resources
◦ Persistent Homology
◦ TDAstats or TDApplied in R
◦ Persim or Giotto in Python
◦ Forman-Ricci curvature
◦ Contact me on LinkedIn for code: https://www.linkedin.com/in/colleenmfarrelly/
◦ Text-to-Image
◦ NightCafe
◦ OpenAI’s DALL-E

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Geometry for Social Good.pptx

  • 2. Who am I? ◦ Author of forthcoming book, The Shape of Data ◦ Former public health practitioner ◦ Researcher on spatial and temporal analytics ◦ Miami sociologist and advocate
  • 4. Persistent Homology ◦ From a branch of math called topology that deals with global properties of an object ◦ Creates series of distance-based objects (simplicial complexes) ◦ Tracks features across series ◦ Can be used to compare data over time, geography, or samples ◦ Easy-to-visualize plots for each feature-tracking dataset ◦ Connection to Euler Characteristic
  • 5. Forman- Ricci Curvature ◦ Network science metric ◦ Measures curvature on a graph ◦ Tug of hubs and connections on a vertex ◦ Very useful for understanding change points over space and time
  • 6. Generative AI and Diffusion Methods ◦ Deep learning algorithm that can couple with diffusion to evolve a picture or image ◦ Deep neural network architecture to create an image from text ◦ Differential equation/geometry algorithms to evolve the image to the artist’s liking ◦ Finding popularity in art and generation of educational material
  • 8. Persistent Homology ◦ Finding urban growth tipping points ◦ Infrastructure, public health, environmental issues ◦ Tracking climate change ◦ Avoiding points of no return ◦ Finding change points in epidemic case growth ◦ Resource allocation
  • 9. Forman-Ricci Curvature ◦ Food price crisis tracking over markets across Burkina Faso ◦ Ebola models across DRCongo 2018 outbreak ◦ Tipping populations into healthy behavior
  • 10. Generative AI ◦ Public Health Education ◦ Mask campaigns ◦ Vaccination campaigns ◦ Infant nutrition campaigns ◦ HIV education
  • 11. THE NEED FOR REPRESENTATION
  • 12. Good Resources ◦ Persistent Homology ◦ TDAstats or TDApplied in R ◦ Persim or Giotto in Python ◦ Forman-Ricci curvature ◦ Contact me on LinkedIn for code: https://www.linkedin.com/in/colleenmfarrelly/ ◦ Text-to-Image ◦ NightCafe ◦ OpenAI’s DALL-E