Past Events


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Medical professional looking at sample through microscope

A Smorgasbord of Epidemiological Insights from India


Speaker: Vijay Chandru


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power grid from below

Contagion Science Seminar Series: Rounak Meyur


Frameworks for Realistic Modeling and Analysis of Power Grids


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overhead view of large group of people walking around and interacting

Global Pervasive Computational Epidemiology Seminar Series: Anirudh Sridhar


Finding Super-spreaders in Network Cascades


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Freestyle swimming competition

Global Pervasive Computational Epidemiology Seminar Series: Chirag Kumar


From Modeling to Practice: Outcomes from Modeling-Informed COVID-19 Mitigation Strategies for Effective Outbreak Prevention during the Tokyo and Beijing Olympic and Paralympic Games


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social media apps on phone

Global Pervasive Computational Epidemiology Seminar Series: Fabio Sanchez


Adapting connections: integrating adaptive behavior into epidemiological multilayer network models



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cows in field

Global Pervasive Computational Epidemiology Seminar Series: Johanna Lindahl


One Health, Food Safety, Food Security, and AMR-complexity and Tradeoffs


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train track subway

Contagion Science Seminar Series: Negin Alemazkoor


Fast, Online, and Efficient Computational Tools for Smart and Resilient Infrastructure Systems


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covid test

Global Pervasive Computational Epidemiology Seminar Series: Lenwood Heath & Jinyi Zhang


Adaptive Group Testing Strategy for Infectious Disease Using Social Contact Graph Partition


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close-up of an eye

Global Pervasive Computational Epidemiology Seminar Series: Adi Gundlapalli


The COVID-19 Pandemic: Public Health Surveillance in the Setting of Evolving Data Needs


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silhouette man disco sparkles

Biocomplexity Institute Fall 2023 Semi-Annual Research Meeting


This 2-Day Event will be held Oct 19 – 20, 2023.
Thurs Oct 19  12:30AM – 7:00PM ET
Fri Oct 20  9:30AM – 3:00PM ET


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the synthesis of many strands

Global Pervasive Computational Epidemiology Seminar Series: Baltazar Espinoza


Modeling Social Complexity in Epidemiology: Risk Perception and Adaptive Human Behavior


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observatory in snowy mountain landscape

Global Pervasive Computational Epidemiology Seminar Series: Josh Colston


The Planetary Child Health and Enterics Observatory (Plan-EO): an Interdisciplinary Research Initiative and Web-Based Dashboard for Mapping Enteric Infectious Diseases and their Risk Factors and Interventions in Low- and Middle-Income Countries


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Marc Ruggiano giving a talk

Data Science for the Public Good Symposium 2023: Keynote Speaker Marc Ruggiano


Healthy Choices: Understanding and influencing health decision-making to improve health, increase equity, and improve performance.



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Seema Iyer and UNHCR

Data Science for the Public Good Distinguished Speaker Series: Seema Iyer


Strengthening the Refugee-Supporting Ecosystem by Focusing on the "Public" within Data Science for Public Good


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Man coughing into his hand

Global Pervasive Computational Epidemiology Seminar Series: Linsey Marr


An Engineering Perspective on Airborne Transmission of COVID-19


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tree branching

Global Pervasive Computational Epidemiology Seminar Series: Michela Meister


Containing the Spread of Contagion on a Tree


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Katherine Ensor Thumbnail

Data Science for the Public Good Distinguished Speaker Series: Katherine Ensor


Community Analytics and the Value of University/City Partnerships


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nurse in hospital corridor

Global Pervasive Computational Epidemiology Seminar Series: Sriram Pemmaraju


Computational Epidemiology for Healthcare-Associated Infections


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city in Bangladesh

Global Pervasive Computational Epidemiology Seminar Series: Mami Taniuchi


Environmental surveillance for SARS-CoV-2 and Other Pathogens in Dhaka, Bangladesh, for Public Health Impact


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bar graph time series

Global Pervasive Computational Epidemiology Seminar Series: Geoffrey Fox


AI Benchmarks and Time Series


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predicting modeling data analysis

Global Pervasive Computational Epidemiology Seminar Series: Nita Madhav


Using Computational Epidemiology to Predict the Frequency and Scale of Future Epidemics


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Ravi Shankar Teaser

Data Science for the Public Good Distinguished Speaker Series: Ravi Shankar Chaturvedi


The Forces Shaping the Digital Planet and Our Journey from a Physical Past to a Digital Future


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Data Network Connections

Social and Decision Analytics Seminar Series: Jing Cao


Multiple Instance Classification with Attention Block for Word-level Sentiment Analysis


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network of blue lights over a city

Global Pervasive Computational Epidemiology Seminar Series: Natarajan Meghanathan


Neighborhood-based Bridge Node Centrality Tuple for Complex Network Analysis


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Crowd of People from Above

Global Pervasive Computational Epidemiology Seminar Series: David Higdon


Bayesian Model Calibration for Constraining Agent-Based Models


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Climate Models

Social and Decision Analytics Seminar Series: Jonathan Wynn Smith


Preparing Space-Based Observations for Comparisons with Climate Models



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Virus Data Cases Over Time

Global Pervasive Computational Epidemiology Seminar Series: Katriona Shea


Uncertainty and the Management of Outbreaks: Harnessing the Power of Multiple Models


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Data Science for the Public Good Header

Data Science for the Public Good Symposium 2022: Keynote Speaker Joseph Salvo


Better Data and Measurement for Local Public Policy Decisions



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Gender Neon Sign

Social and Decision Analytics Seminar Series: Dr. Marlène Koffi


Innovative Ideas and Gender Inequality


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Magnifying a cherry blossom

Global Pervasive Computational Epidemiology Seminar Series: Sandeep Juneja


Shift, Scale, and Restart Smaller Models to Estimate Larger Ones: Agent-Based Simulators for COVID Modeling


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green columns of data

Social and Decision Analytics Seminar Series: Madeline Pickens


Public Data, Public Good, Personal Information: Techniques and Challenges



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networks of colored glass beads

Epidemics on Networks


Epidemics on Networks


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Vaccine Shot Injection

Global Pervasive Computational Epidemiology Seminar Series: Lauren Marks, Sunny Sharma, Rebecca West, and Kenneth Davis


Increasing COVID Vaccine Uptake in Sub-Saharan Africa: A Multidisciplinary Approach


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Flowchart of good practices

Data Science for the Public Good Distinguished Speaker Series: Sarah Nusser


Promoting the Reusability of Shared Data


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map visualization

Social and Decision Analytics Seminar Series: Dr. Sherry Towers


Predicting and Preventing Extremist Violence with the Power of Quantitative and Visual Analytics


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Connections arcing across a globe

Global Pervasive Computational Epidemiology Seminar Series: Samarth Swarup


A Framework for Modeling Complex Human Behaviors in Epidemic Simulations


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Sunset through a sphere

Global Pervasive Computational Epidemiology Seminar Series: Richard Hatchett


Two Years Before the Mast: Reflections on the Late Pandemic


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Ripples of water

Global Pervasive Computational Epidemiology Seminar Series: David Swerdlow


Role of Modeling During Epidemic Responses - View From Public Health, Industry, and Academia


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tagged cows behind a black metal railing

Global Pervasive Computational Epidemiology Seminar Series: Arnaud Bataille


Presentation of the EU Project Livestock Disease Surveillance Knowledge Integration (LIDISKI)


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Glasses in front of data model

Global Pervasive Computational Epidemiology Seminar Series: Alessandro Vespignani


Computational Epidemiology at the Time of COVID-19


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person in lab coat holding sample tubes

Global Pervasive Computational Epidemiology Seminar Series: Steven Zeichner


Towards Rapid Vaccine Development & Deployment


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Light across the globe

Global Pervasive Computational Epidemiology Seminar Series: Simon Levin


COVID-19 and Challenges to the Classical Theory of Epidemics


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Glass building

Global Pervasive Computational Epidemiology Seminar Series: Maia Majumder


Machine Learning Research Applications During the COVID-19 Pandemic


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branching paths made of matchstick railroad tracks

Global Pervasive Computational Epidemiology Seminar Series: Chadi Saad-Roy


Modeling SARS-CoV-2 Immuno-epidemiological Dynamics


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Bryan Lewis | Srini Venkatramanan

How Forecasts Inform COVID-19 Policy


Open panel discussion and Q&A with Virginia Department of Health officials and University of Virginia Biocomplexity Institute researchers


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Catilyn Wylie

Social and Decision Analytics Seminar Series: Caitlin D. Wylie


Equity in Practice: How Technicians, Students, and Communities Contribute to Scientific Research


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Sana Syed and Thomas Hartka

Data Science for the Public Good Distinguished Speaker Series: Dr. Sana Syed and Dr. Thomas Hartka


Physician Data Scientists: Wearing Two Hats, The Why and How of Applying Data Science to Medical Research


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person examining x-ray

Global Pervasive Computational Epidemiology Seminar Series: Rebecca Powell Doherty


Immunopeptidomics: A Personalized Medicine Approach to Antigen Discovery, Characterization, and Treatment of Autoimmune Inflammatory Disease


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Time series data

Global Pervasive Computational Epidemiology Seminar Series: Aniruddha Adiga


All Models Are Useful: Bayesian Ensembling for Robust High-Resolution COVID-19 Forecasting


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Metal bars radiating

Global Pervasive Computational Epidemiology Seminar Series: Judy Fox


HySec-Flow: Privacy-Preserving Hybrid Computing Model


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Red dots in a grid coming towards you

Global Pervasive Computational Epidemiology Seminar Series: Aravind Srinivasan


Controlling Epidemic Spread Through Stochastic Networks


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People talking during poster presentations

Data Science for the Public Good Symposium 2021: Keynote Speaker Jeri Mulrow


Topic: Enabling Data Science to Do Public Good: Are We Making an Impact?



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DNA with flowers on it

Big Bird: Transformers for Longer Sequences


Speaker: Guru Guruganesh


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therapist taking notes with man on couch in background

Global Pervasive Computational Epidemiology Seminar Series: Mark Orr


Behavior Matters, Whatever Next: Computational Psychology for Computational Epidemiology


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Exploring Biocomplexity

Exploring Biocomplexity with Dr. Christian Reidys


Introducing Tristance: A Striking Discovery in the Mathematical Biocomplexity of Genomic Surveillance


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attributes

Analyzing Deep Neural Networks Using Attribution


Speaker: Dr. Mukund Sundararajan


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Wisconsin

Broadband in Wisconsin and UW-Extension’s Role in Expanding Access


Speaker: Dr. Tessa Conroy


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building with hexagonal windows

DATA: Access, Creation, and Maintenance of Data and Computing Resources


This 2-Day Event will be held May 12 – 13, 2021. 
Wed May 12  11:00AM – 3:30PM ET 
Thurs May 13  11:00AM – 3:30PM ET



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Stephen Eubank

Global Pervasive Computational Epidemiology Seminar Series: Stephen Eubank


Perturbative Approximations to Stochastic Satisfiability Problems


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Black and white train station congestion

Global Pervasive Computational Epidemiology Seminar Series: Anuj Mubayi


Ecological Complexity, Thresholds, and Risk Tradeoff in the Dynamics of Neglected Vector-borne Diseases


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Hadley Wickham

Data Science for the Public Good Distinguished Speaker Series: Hadley Wickham


dplyr: one language, many implementations


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Nurse with vaccines

Global Pervasive Computational Epidemiology Seminar Series: Jiangzhuo Chen


Efficient Vaccination in Volatile Pandemic


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Spider web

Global Pervasive Computational Epidemiology Seminar Series: Rajesh Sundaresan


Optimal Design of Serosurveys for Disease Burden Estimation


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Tribal Tech, LLC Office

Data Science for the Public Good Distinguished Speaker Series: Vicki Vasques


The Role for Data in Successfully Navigating a Woman-Owned Small Business


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Cubes in the air

Global Pervasive Computational Epidemiology Seminar Series: Wilfred Ndifon & Lavanya Singh


Searching for COVID-19 Patients in a Hypercube


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Exploring Biocomplexity

Exploring Biocomplexity with Distinguished Institute Professor Dr. Michael Waterman


Mathematics and Biology Case Study #1: Search


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Red game pieces separated from brown game piece

Global Pervasive Computational Epidemiology Seminar Series: Jeffrey Townsend


Optimal COVID-19 Quarantine and Testing Strategies


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Exploring Biocomplexity

Exploring Biocomplexity with Distinguished Institute Professors Dr. Daniel Rosenkrantz and Dr. Richard Stearns


Fireside chat geared towards students and early career faculty


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network of game pieces

Global Pervasive Computational Epidemiology Seminar Series: Anil Vullikanti


Controlling Epidemics on Networks: A Game Theoretical Perspective



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remote road

Social and Decision Analytics Seminar Series: Shane Reese


Moving Glacially: Lessons from two Remote Regions on Human Vulnerability


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pink and turquoise glass building pattern

Global Pervasive Computational Epidemiology Seminar Series: Xinwei Deng


Modeling and Active Learning for Experiments with Quantitative-Sequence Factors


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traffic on the highway at night

Global Pervasive Computational Epidemiology Seminar Series: Jure Leskovec & Serina Chang


Mobility Network Models of COVID-19 Explain Inequities and Inform Reopening


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Hourglass with red sand on top of newspaper

Global Pervasive Computational Epidemiology Seminar Series: Adam Sadilek


Machine-Learned Epidemiology


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Shamina Singh

Data Science for the Public Good Distinguished Speaker Series: Shamina Singh


Building the Field of Data Science for Social Impact


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glass magnifying monument in india

Global Pervasive Computational Epidemiology Seminar Series: Ramanan Laxminarayan


Epidemiology and Transmission Dynamics of COVID-19 in two Indian States


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various forms of timekeeping

Global Pervasive Computational Epidemiology Seminar Series: Jeffrey Townsend


The Duration of Immunity Following COVID-19 Infection


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person in backpack running with horses

Global Pervasive Computational Epidemiology Seminar Series: Kathleen Alexander


Transforming Landscapes and the Ecology of Scale - Understanding Disease Emergence at the Human-Wildlife-Environmental Interface


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person in lab coat looking through records

Global Pervasive Computational Epidemiology Seminar Series: Naren Ramakrishnan


Automatic Extraction of Epidemiological Line Lists for Open Sources


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Man in audience holding microphone

Data Science for the Public Good Symposium 2020: Keynote Speaker Kenneth Prewitt


The 2020 Census: End of the Line?


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artist's conception of AI, neural networks

Global Pervasive Computational Epidemiology Seminar Series: B. Aditya Prakash


Deep Learning Data-Driven Approaches for Epidemic Forecasting


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three hospital beds

Global Pervasive Computational Epidemiology Seminar Series: Abhishek Pandey & Alison Galvani


Projecting Hospital Utilization and Assessing Implications of Silent Transmission during the COVID-19 Outbreak in the United States


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overhead view of water in ocean

Global Pervasive Computational Epidemiology Seminar Series: Rita Colwell


Climate, Oceans, and Human Health: Cholera as a Paradigm for Predicting Infectious Diseases


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gray and black audio mixer

Global Pervasive Computational Epidemiology Seminar Series: Simon Levin & Dylan Morris


Optimal, Near-Optimal, and Robust Epidemic Control



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curling fern

Data Science Speaker Series: Behnaz Moradi


Detecting Communities and Performing Statistical Inferences on Networks through Renewal Non-backtracking Random Walks


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danah boyd speaking

Data Science for the Public Good Distinguished Speaker Series: danah boyd


Data: Its Vulnerabilities and Legitimacy



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dashboard on laptop on gray couch

Datapalooza 2019 with Keynote Speaker Sallie Keller


Doing Data Science in Service of the Public Good


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painted rainbow

Colloquium: Saikou Diallo


We're Are All in It Together: Training the Next Generation of Model Thinkers


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Katharine Abraham

Data Science for the Public Good Distinguished Speaker Series: Katharine Abraham


Informing Decisions while Protecting Privacy: The Future of the Federal Statistical System


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warm colors clusters like coral

Colloquium: Ian Davidson


Towards Explainable Clustering (X-Clustering)


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Phil Bourne and Ron Jarmin

Data Science for the Public Good Symposium 2019: Keynote Speakers Phil Bourne and Ron Jarmin


Responsible Data Science and the 2020 Census


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UVA Forum O'Malley

Data Science for the Public Good Distinguished Speaker Series: Martin O'Malley


Smarter Government: The Data, the Map, and the Method