2023
Some New Models for Social Networks
This is the Keynote Address at the Australian Social Network Analysis Conference 2023. In it I discuss classes of exponential-family models that extend the range and realism of traditional classes.
Modeling of Networked Populations with Exponential-Family Random Network Models when data is Sampled or Missing
In this talk we discuss network modeling with a novel exponential-family class of models when the network in only partially observed.
Introduction to Computational Social Science
In this talk we start with the question: Why Computational Social Science? Traditionally, science has followed the mode of theory and …
Practical Network Modeling via Tapered Exponential-family Random Graph Models
In this talk we discuss a new class of models for social networks that which circumvents the issue of near-degeneracy while maintaining the desirable features of exponential-family models.
Data Theory in the World Seminar: Why is it important to be a data-driven organization?
What sorts of organizations will students face when they graduate? How should students prepare themselves? This is the first of a …
DataX Salon with Mark S. Handcock
DataX Salons are informal conversations for UCLA faculty, staff and students to become acquainted with a diverse group of UCLA data …
Practical Network Modeling via Tapered Exponential-family Random Graph Models
In this talk we discuss a new class of models for social networks that which circumvents the issue of near-degeneracy while maintaining the desirable features of exponential-family models.
2022
Data Theory in the World Seminar: Preparing for Future Work
What will students face when they graduate? The last years have seen work environments change rapidly, especially for data scientists. …
COVID through a statistical lens
Exploring Your Universe at UCLA is a volunteer-run science fair for all ages that brings in thousands of participants from the greater Los Angeles area. This talk was to a general audience on the question: ‘How can we learn from data?’.
Sampling Hard-to-Reach Populations
This is an 80-minute invited address to Statistics Canada’s 2022 International Methodology Symposium. Statistics Canada is the Canadian equivalent of the US Federal statistical agencies and Census Bureau. The audience of the Symposium includes all Statistics Canada’s methodology staff as well as external participants.
Revealed Preference Models for Marriage Formation
This is an Invited Paper for the session ‘Statistical Methods for Social Interactions — Invited Papers’, 2022 Joint Statistical Meetings.
Revealed Preference Models for Marriage Formation
This is the Duncan Invited Lecture, Section on Methodology, 117th American Sociological Association Annual Meeting.
Comparing the real-world performance of exponential-family random graph models and latent order logistic models for social network analysis
In this talk we assess the real-world performance of Latent Order Logistic models (LOLOG).
Sampling Hard-to-Reach Populations
This is an invited talk on survey sampling given at the 7th Italian Conference on Survey Methodology.
Sampling Hard-to-Reach Populations
This is the Presidential Invited Address, Survey Methods Section, Statistical Society of Canada Annual Meeting.
Data Theory in the World Seminar: How Data Drives Business Decisions
This event provided an opportunity for students to hear from leading data scientists about how their world has been changed by data. …
COVID through a statistical lens
This event provided an opportunity for alumni of the department to hear about work of department members on COVID-19 pandemic response.
2021
Tracking all cause of death and estimating excess mortality during the COVID-19 pandemic: statistical and computational tools
The talk was presented to the World Health Organization Head Quarters HQ Technical Advisory Group on methodology I developed to track all cause of death mortality over time and estimate the excess mortality during the COVID-19 pandemic."
2020
Determining Local Levels of the Effectiveness and Efficiency of Contact Tracing Through Modeling
This was a panel at the UCLA California Center for Population Research (CCPR) on population-Based Modeling and Measurement of COVID-19.
