BigSurv23 Program





Please note that the program is subject to change. Kindly refer to the latest updates provided at the conference website.

All academic events will take place at the Campus of San Francisco de Quito University.

Friday 27th October


08:00 - 17:00

Download the BigSurv23 Program in PDF format here.
You will be redirected to www.aenu.ec

Registration and Information Desk (Room: DaVinci Hall)

08:30 - 17:30

Poster Session (actively presented 8:30-10:00)

Chair: Ana Lucía Córdova Cazar (Universidad San Francisco de Quito)

ML Applications to Survey Quality Control and Fraud Detection Abstract 2023
Mrs Kriscel Berrum (D3 systems) - Presenting Author

Mr Liam Spoletini (D3 Systems)

Mr Timothy Van Blarcom (D3 Systems)

Volatility and irregularity Capturing in stock price indices using time series Generative adversarial networks.
Mr Leonard Mushunje (Columbia University) - Presenting Author

Statistical learning methods to estimate sales forecasts for products that affect the supply chain of a mass consumption company in the city of Guayaquil
Professor Francisco Morales (ESPOL – Escuela Politécnica del Ejército) - Presenting Author

Dr Sergio Baúz (ESPOL – Escuela Politécnica del Ejército)

Dr Johny Pambabay (ESPOL – Escuela Politécnica del Ejército)

Unraveling the Correlation between Perceived Issue Importance and Issue Salience On the Internet among Users with Different Media Repertoires
Mr You-Jian Wu (Academia Sinica) - Presenting Author

Mr Hao-Hsuan Wang (Academia Sinica)

Mr Shih-Peng Wen (Academia Sinica)

Professor Ching-ching Chang (Academia Sinica)

Dr Yu-ming Hsieh (Academia Sinica)

Dr Justin Chun-ting Ho (Academia Sinica)

Reliable Inference from Imperfect Data
Dr Mansour Fahimi (Marketing Systems Group) - Presenting Author

Optimism and cryptoasset ownership
Dr Kim Huynh (Bank of Canada)

Dr Christopher Henry (Bank of Canada) - Presenting Author

Dr David Jacho-Chavez (Emory University, USA)

Miss Gabriela Coada (Emory University, USA)

Technological Developments Influence the Cybercrime in Juja Sub-County
Mr Ndirangu Ngunjiri (University of Nairobi ) - Presenting Author

Miss Elizabeth Kingoo (Jomo Kenyatta University of Science and Technology)

10:00 - 11:30

Opening Keynote by Dr. Juan M. Lavista Ferres, VP, Chief Data Scientist of the Microsoft AI for Good Lab (Live presentation with Q&A)

11:30 - 11:45

Coffee Break

11:45 - 13:15

CONCURRENT SESSIONS A

Session 1: My "socials" like your surveys! Exploring alignment, consistency and divergence of estimates based on survey, social media and digital trace data

Ground Truth References for Trends Estimated from Social Media Using Automated Entity Extraction. Example of Substance Use Discussions on Reddit
Dr Georgiy Bobashev (RTI International) - Presenting Author

Mr Alexander Preiss (RTI International)

Mr Anthony Berghammer (RTI International)

Dr Mark Edlund (RTI International)

New Data Sources and Signals on Presidential Approval: Daily Indicator Based on Google Trends
Mr Bastián González-Bustamante (University of Oxford) - Presenting Author

Uncovering Hidden Alignment between Social Media Posts and Survey Responses
Professor Frederick Conrad (University of Michigan) - Presenting Author

Mr Mao Li (University of Michigan)

Professor Michael Schober (New School for Social Research)

Professor Johann Gagnon-Bartsch (University of Michigan)

Dr Robyn Ferg (Westat)

Ms Rebecca Dolgin (New School for Social Research)

Dr Paul Beatty (US Census Bureau)

Negativity Bias Effect in Issue Salience Transfer
Mr Hao Hsuan Wang (Academia Sinica) - Presenting Author

Mr You-Jian Wu (Academia Sinica)

Mr Shih-Peng Wen (Academia Sinica)

Professor Ching-ching Chang (Academia Sinica)

Dr Justin Chun-ting Ho (Academia Sinica)

Dr Yu-ming Hsieh (Academia Sinica)

11:45 - 13:15

CONCURRENT SESSIONS A

Session 2: Adept Adaptation: Using auxiliary data and advanced modelling methods to predict eligibility, contact, participation and response

Age-Eligibility Oversampling to Reduce Screening Costs in a Multimode Survey
Dr Stephanie Zimmer (RTI International) - Presenting Author

Mr Joe McMichael (RTI International)

Dr Taylor Lewis (RTI International)

Calling the Right Cases: Using Predictive Modeling to Direct Outbound Dialing Effort in an Address-Based Sample
Mr Michael Jackson (SSRS) - Presenting Author

Mr Todd Hughes (University of California - Los Angeles)

Ms Cameron McPhee (SSRS)

Optimizing data collection interventions using personalized models
Mr Michael Duprey (RTI International) - Presenting Author

Dr Rebecca Powell (RTI International)

Dr Jerry Timbrook (RTI International)

Ms Melissa Hobbs (RTI International)

Dr Brian Burke (RTI International)

Professor Allison Aiello (Columbia University)

Ms Sarah Dean (The University of North Carolina at Chapel Hill, Carolina Population Center)

Professor Robert Hummer (The University of North Carolina at Chapel Hill, Carolina Population Center)

Longitudinal Nonresponse Prediction and Bias Mitigation with Machine Learning
Mr John Collins (University of Mannheim) - Presenting Author

Dr Christoph Kern (University of Muenchen)

11:45 - 13:15

CONCURRENT SESSIONS A

Session 3: Mining the Gaps: Using new data sources and ML to understand missing data, nonresponse and turnout

Supplementing Sensitive Survey Data by Leveraging Social Listening with Machine Learning Models
Professor Heather Kitada Smalley (Willamette University) - Presenting Author

Professor John Walker Orr (George Fox University)

Predicting Future Panel Participation in AmeriSpeak Panel
Dr Stas Kolenikov (NORC) - Presenting Author

Dr Ipek Bilgen (NORC)

Dr David Dutwin (NORC)

Closed Form Bayesian Inferences for Binary Logistic Regression with Applications to American Voter Turnout
Dr Kevin Dayaratna (The Heritage Foundation) - Presenting Author

11:45 - 13:15

CONCURRENT SESSIONS A

Session 4: You will brag about this LAG: modern methods for creating Labels, Asking questions and Gathering data

A Conceptual Model of Labeling in Supervised Learning (with Implications for Survey Coding)
Mr Robert Chew (RTI International) - Presenting Author

A Practical Guide to (Successfully) Collect and Process Images in the Frame of Web Surveys
Ms Patricia A. Iglesias (Research and Expertise Centre for Survey Methodology) - Presenting Author

Mr Carlos Ochoa (Research and Expertise Centre for Survey Methodology)

Dr Melanie Revilla (Research and Expertise Centre for Survey Methodology & Institut Barcelona d'Estudis Internacionals)

Best practices in data donation: A workflow for studies using digital data donation
Mr Thijs Carrière (Utrecht University) - Presenting Author

Dr Laura Boeschoten (Utrecht University)

Dr Heleen Janssen (University of Amsterdam)

Identifying Common Abortion Measurement Across Studies and Wording: A New Technique For Leveraging Historical Survey Data
Professor Josh Pasek (University of Michigan) - Presenting Author

13:15 - 14:30

Group Lunch (University Restaurant) - Lunch tickets available

14:30 - 16:00

CONCURRENT SESSIONS B

Session 1: Does the Trace save Face? Exploring how digital trace data can be leveraged to estimate social media usage

Examining Latino Political Engagement and Activity on Social Media: Combining Survey Responses with Digital Trace Data
Professor Marisa Abrajano (University of California, San Diego)

Ms Marianna Garcia (UC, San Diego)

Dr Robert Vidigal (New York University)

Mr Aaron Pope (New York University)

Dr Edwin Kamau (New York University)

Professor Joshua A. Tucker (New York University)

Professor Jonathan Nagler (New York University) - Presenting Author

Surveys or digital trace data, which one should we use? Using Generalized MultiTrait-MultiMethod models to simultaneously estimate the measurement quality of surveys and digital trace data.
Mr Oriol J. Bosch (University of Oxford / The London School of Economics) - Presenting Author

Dr Melanie Revilla (IBEI)

Professor Patrick Sturgis (The London School of Economics)

Professor Jouni Kuha (The London School of Economics)

Online Media’s Agenda-Setting Effect: A Method Triangulation Approach with Survey and Text Mining
Mr Hao Hsuan Wang (Academia Sinica) - Presenting Author

Mr Shih-Peng Wen (Academia Sinica)

Mr You-Jian Wu (Academia Sinica)

Professor Ching-ching Chang (Academia Sinica)

Dr Justin Chun-ting Ho (Academia Sinica)

Dr Yu-ming Hsieh (Academia Sinica)

14:30 - 16:00

CONCURRENT SESSIONS B

Session 2: Humans chatting about chatbots: Promises and Challenges of Large Language Models for Survey Research

Evaluation of GPT models and prompts to create tailored questionnaires
Ms Zoe Padgett (Momentive.ai) - Presenting Author

Ms Laura Wronski (Momentive.ai)

Mr Sam Gutierrez (Momentive.ai)

Mr Tao Wang (Momentive.ai)

Mr Misha Yakubovskiy (Momentive.ai)

While Chatbots have many answers, do they have good questions? An Experimental Study Exploring the Creation and Evaluation of Survey Questions using Automated Chatbot Tools
Dr Trent Buskirk (Bowling Green State University) - Presenting Author

Dr Adam Eck (Oberlin College)

Dr Jerry Timbrook (RTI International)

Mr Scott Crawford (Sound Rocket)

Exploring and predicting public opinion using large language models
Mr Mathew Hardy (Princeton University) - Presenting Author

Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data
Dr Anna-Carolina Haensch (LMU Munich) - Presenting Author

Mrs Sarah Ball (LMU Munich)

Mr Markus Herklotz (LMU Munich)

Professor Frauke Kreuter (LMU Munich)

14:30 - 16:00

CONCURRENT SESSIONS B

Session 3: What's your claim to FRAME? Sampling Design and Evaluation Using New Data Sources and Analytic Methods

Assessing the quality of commercial auxiliary data appended to an address-based sampling survey frame
Dr Rebecca Medway (American Institutes for Research) - Presenting Author

Dr Rachel Carroll (American Institutes for Research)

Introducing "Designing and Implemented Gridded Population Surveys": A new manual with step-by-step tutorials
Ms Dana Thomson (University of Twente) - Presenting Author

Targeted Random Door-to-Door Sampling Design for COVID-19 Informed by Community Wastewater
Dr Katherine McLaughlin (Oregon State University) - Presenting Author

Dr Jeffrey Bethel (Oregon State University)

Dr Benjamin Dalziel (Oregon State University)

Dr Roy Haggerty (Louisiana State University)

Dr Kathryn Higley (Oregon State University)

Dr Jane Lubchenco (Oregon State University)

Dr Javier Nieto (Oregon State University)

Dr Tyler Radniecki (Oregon State University)

Dr Justin Sanders (Oregon State University)

Using machine learning methods to stratify the household surveys Sampling Frame
Dr William Jesús Constante Erazo (Particular) - Presenting Author

Miss Diana Carolina Simbaña Flores (Particular)

14:30 - 16:00

CONCURRENT SESSIONS B

Session 4: When the Kaleidoscope becomes the Megaphone! New Tools and Resources for Improving Dissemination and Insights that are based on Multiple Data Sources

Impact of environmental features and spatial economic diversity on social inclusion
Dr Chan-Hoong Leong (Kantar Public) - Presenting Author

The Social Impact Data Commons: Regional Data-Driven Decision-Making
Ms Kathryn Linehan (University of Virginia)

Dr Aaron Schroeder (University of Virginia) - Presenting Author

Data for Health Intelligence
Dr Ellie Graeden (Georgetown University) - Presenting Author

Census Household Panel: Opportunities for Data Triangulation, Harmonization and Integration
Ms Jennifer Childs (U.S. Census Bureau) - Presenting Author

Dr Jason Fields (U.S. Census Bureau)

Dr Aleia Fobia (U.S. Census Bureau)

Ms Cassandra Logan (U.S. Census Bureau)

Dr Stephanie Coffey (U.S. Census Bureau)

Dr Jennifer Ortman (U.S. Census Bureau)

Mr David Hornick (U.S. Census Bureau)

16:00 - 16:30

Coffee Break

16:30 - 18:00

CONCURRENT SESSIONS C

Session 1: Heads AND Tails! Evaluating and leveraging survey and alternate data sources for improving estimation

Using machine learning to downscale projected land conversion: Application to bioenergy expansion
Dr Robert Beach (RTI International)

Mr Graedon Martin (RTI International)

Dr Stanley Lee (RTI International)

Dr Jonathan Holt (RTI International) - Presenting Author

Estimation of purchases with a hybrid survey design
Mr Matthew Shimoda (Bank of Canada) - Presenting Author

Are media exposure measures created with digital trace data any good? An approach to assess and predict the true-score reliability of web tracking data.
Mr Oriol J. Bosch (University of Oxford / The London School of Economics) - Presenting Author

Dr Melanie Revilla (IBEI)

Professor Patrick Sturgis (The London School of Economics)

Professor Jouni Kuha (The London School of Economics)

Analyzing Economic Views via Twitter versus Survey Data
Professor Suzanne Linn (Penn State University)

Dr Patrick Wu (New York University)

Professor Joshua A. Tucker (New York University)

Professor Jonathan Nagler (New York University) - Presenting Author

16:30 - 18:00

CONCURRENT SESSIONS C

Session 2: Going Public About What's Private! New Observations, Methods and Advances in Data Privacy

Re-thinking data policy: An engineering-informed approach to global data regulation (Demo)
Ms Ellie Graeden (Georgetown University) - Presenting Author

Differential Privacy for Surveys – Things we know and problems that still need to be solved
Mr Joerg Drechsler (Institute for Employment Research and University of Maryland) - Presenting Author

Synthetic population generation for nested data using differentially private posteriors
Dr Hang Kim (University of Cincinnati)

Dr Terrance Savitsky (U.S. Bureau of Labor Statistics)

Dr Matthew Williams (RTI International) - Presenting Author

Dr Jingchen Hu (Vassar College)

16:30 - 18:00

CONCURRENT SESSIONS C

Session 3: Boosting our Understanding of Pandemics and Resilience Through Survey Research

Multivariate Statistical Modeling to Identify Atmospheric and Sociodemographic Variables Associated with Covid-19 in the City of Guayaquil
Professor Jhon Peña (ESPOL – Escuela Politécnica del Litoral) - Presenting Author

Dr Sergio Bauz (ESPOL – Escuela Politécnica del Litoral)

Dr Johny Pambabay (ESPOL – Escuela Politécnica del Litoral)

Professor Cesar Menendez (ESPOL – Escuela Politécnica del Litoral)

Identifying factors associated with US adolescents’ behaviors and experiences during COVID-19 using LASSO regression on complex survey data
Dr Wenna Xi (Weill Cornell Medicine) - Presenting Author

Ms Peizi Wu (Weill Cornell Medicine)

Measuring Vulnerability and Resilience for Small Areas
Ms Heather King (United States Census Bureau) - Presenting Author

16:30 - 18:00

CONCURRENT SESSIONS C

Session 4: My Daddy is a Ballerina: Issues in Coding Occupations and Gender Identity in Surveys

Trends in gender inclusion: a cross-national examination of non-binary gender options in surveys from 2012-2022
Ms Zoe Padgett (Momentive.ai) - Presenting Author

Ms Laura Wronski (Momentive.ai)

Mr Sam Gutierrez (Momentive.ai)

Parent Proxy Reporting on Multidimensional Measures of Adolescent Gender Using a Nationally Representative Sample from the U.S.
Mr Christopher Hansen (Loyola University Chicago) - Presenting Author

Coding occupations: are occupational codes in administrative data consistent with survey self‑reported occupations?
Ms Ana Santiago-Vela (Federal Institute for Vocational Education and Training) - Presenting Author

19:30 - 21:30

Conference Dinner at Colonial Quito and Visit to the awe-inspiring Church of the Society of Jesus in Quito (Tickets Available here )