BigSurv2023 Academic Comittee
Ana Lucía Córdova Cazar is a professor at the School of Business at Universidad San Francisco de Quito. She obtained her PhD and Master of Science in the area of Survey Research and Methodology from the University of Nebraska - Lincoln (USA). Additionally, thanks to the Chevening scholarship, she earned a Master of Arts in Political Economy from the University of Essex (United Kingdom).
Her academic interests include survey design and analysis, opinion measurement, applied analysis of social behavior, questionnaire design, multivariate and multilevel statistical analysis, and structural equation modeling. Her research focuses on big data and social sciences, politics, data on the use of time, and the quality of data collected through surveys.
Dr. Burke-Garcia is a seasoned health communications professional with nearly 20 years of experience in health communication program planning, implementation and evaluation, with specific expertise in developing and evaluating digital and social media communication and research programs. At NORC, she leads the organization's Digital Strategy and Outreach Program Area, where she designs and implements strategies that leverage the power of digital media to influence behavior. In this role, Dr. Burke-Garcia develops new digital and mobile data collection methodologies and communication solutions. She has been overseeing the award-winning How Right Now/Que Hacer Ahora campaign since 2020, which aims to increase people’s ability to cope and be resilient amidst the COVID-19 pandemic. She currently leads two grants focused on exploring vaccine hesitancy amongst communities of color that build on her earlier work exploring messages and motivations of vaccine-hesitant or refusing social media influencers (findings from which were published in Vaccine in 2020). Over the course of her career, Dr. Burke-Garcia has spearheaded some of the most innovative communication programs and studies on a variety of health topics, including designing a targeted social media intervention with mommy bloggers to help social media users lower their risk for breast cancer, and leveraging MeetUp groups and the Waze mobile application to move people to action around flu vaccination and HIV testing, respectively. She is the author of the books, Influencing Health: A Comprehensive Guide to Working with Social media influencers, and Communicating Through a Pandemic: A Chronicle of Experiences, Lessons Learned, and a Vision for the Future. She has been highlighted by the U.S. Surgeon General, Dr. Vivek Murthy, for her work in honor of Women’s History Month and has been named to VeryWellHealth.com’s list of 10 Modern Female Innovators Shaking Up Health Care.
Trent D. Buskirk, Ph.D. is the Novak Family Distinguished Professor of Data Science and outgoing Chair of the Applied Statistics and Operations Research Department at Bowling Green State University. Dr. Buskirk is a Fellow of the American Statistical Association and his research interests include big data quality, recruitment methods through social media, the use of big data and machine learning methods for health, social and survey science design and analysis, mobile and smartphone survey designs and in methods for calibrating and weighting nonprobability samples and fairness in AI models and interpretable ML methods. Recently, Trent served as the President of the Midwest Association for Public Opinion Research in 2016, the Conference Chair for AAPOR in 2018 and is currently part of the scientific committee for the BigSurv23 conference. Trent also serves as an Associate Editor for Methods for the Journal of Survey Statistics and Methodology. When Trent is not geeking out over data science, big data or survey methodology, you can find him playing a competitive game of Pickleball!
Craig A. Hill has been with RTI International for over 20 years and currently serves as Senior Vice President in RTI International’s Social, Statistical, and Environmental Sciences business unit.
Prior to joining RTI, Dr. Hill held a variety of roles at NORC at the University of Chicago, including Research Vice President, and at Medrock, Inc. (Boulder, CO), where he was Vice President and Director of Operations. From 1982 to 1987, he held positions in a variety of academic research and teaching roles.
Dr. Hill received his PhD in quantitative methods from the Political Science department at the University of New Orleans and an MA (1984) from the same institution. He also holds a BA degree in Political Science from Northern Illinois University (1978).
Dr. Hill’s second book, Big Data Meets Survey Science: A Collection of Innovative Methods hit print in November 2020. He also co-edited Social Media, Sociality, and Survey Research (Wiley, 2013), and co-authored two chapters in that book. His papers have appeared in Evaluation and the Health Professions, Health Affairs, Inquiry, the Journal of the American Medical Association, the Journal of Official Statistics, and Social Science Computer Review, among others. He is a Fellow of the American Statistical Association.
Stas Kolenikov is Principal Statistician at NORC at the University of Chicago. He works on statistical aspects of survey data collection, including sampling design, weighting, replicate variance estimation, nonsampling error analysis, as well as on data science aspects of data processing and analysis, such as reproducible workflows, version control of statistical code, package management and package development. Prior to joining NORC, Stas had worked at Abt Associates, The World Bank Group, University of Missouri, Columbia, and Centre for Economic and Financial Research (Moscow, Russia). Beyond survey statistics, Stas has published in the areas of structural equation modeling, environmental statistics, and economics of income distribution. Stas has been contributing to organization of all of the previous BigSurv meetings, including BigSurv18 in Barcelona, Spain, and BigSurv20 at Utrecht, Netherlands, held virtually due to COVID.
Dr. Nan Zhang is a Professor of Management at the Warrington College of Business, University of Florida. Dr. Zhang started his academic career as a computer scientist, receiving his Ph.D. in Computer Science from Texas A&M University before serving as an Assistant, Associate, and then Professor of Computer Science at George Washington University, and a Professor of Information Sciences and Technology at Pennsylvania State University. He also served as a Program Director in the Information and Intelligent Systems (IIS) division of the National Science Foundation (NSF), in which capacity he co-chaired the federal interagency working group on information privacy research.
Dr. Zhang’s current research focuses on the societal implications of artificial intelligence (AI) and the integration of machine learning and data analytics in social sciences. His research on these topics has been supported by federal agencies such as the NSF, the Defense Advanced Research Projects Agency (DARPA), and the Army Research Office (ARO), and companies such as Amazon and Meta. He served as an Associate Editor for IEEE Transactions on Knowledge and Data Engineering and ACM SIGMOD, and a guest associate editor for Management Information Systems (MIS) Quarterly and European Physical Journal (EPJ) Data Science.
Adam Eck is an Associate Professor of Computer Science and Chair of the Data Science Integrative Concentration at Oberlin College where he leads the Social Intelligence Lab. Adam's research interests include interdisciplinary applications of artificial intelligence and machine learning to solve real-world problems, such as data science and machine learning for improving data collection and analysis in the computational social sciences (e.g., Survey Informatics) and public health, as well as decision making for intelligent agents and multiagent systems in complex, uncertain environments.
Julian Maya holds an MSc in Cognitive Systems and Interactive Media from the University Pompeu Fabra in Barcelona, as well as a degree in Business Administration from Universidad San Francisco de Quito. He works as an assistant professor at the Business School of USFQ, where he also holds the role of academic coordinator for the Business Analytics minor. Julian is an interdisciplinary professional with experience as a developer and technology team leader for startups and corporations. His previous research was on human computer interaction for full-body interactive learning environments.
Andrés Gutiérrez holds a PhD in statistics, and his work focuses on applying and refining existing survey sampling methods and small area estimation methodologies, especially in the field of poverty mapping. He served as the dean of the Statistics Faculty at Saint Thomas University in Bogotá, Colombia, and as the Assessment Director at the Colombian Institute for the Assessment of Education (ICFES), where he oversaw the development and implementation of large-scale assessments for students throughout the country. Additionally, he has worked as an adviser on sampling design and complex survey analysis in the National Planning Department of Colombia, providing technical support and guidance to government agencies and policymakers on issues related to impact analysis of social policies. Currently, Andrés is the Regional Adviser on Social Statistics at the United Nations Economic Commission for Latin America and the Caribbean (ECLAC). He provides advice and technical support to Latin American and Caribbean countries on social statistics issues. He collaborates with government agencies, statistical offices, and other stakeholders to design and implement surveys, analyze survey data, and dissemination of results. He also delivers technical assistance in the areas of data collection, processing, analysis, and disaggregation with Small Area Estimation methodologies.
Antje Kirchner holds a PhD in statistics and is an Independent Researcher and an Adjunct Research Assistant Professor at the University of Nebraska - Lincoln. Her research addresses challenges in survey methodology, including how to reduce nonresponse bias using adaptive/responsive designs and assessing the quality of survey data.
She is a founding member and co-organizer of the “Big Data Meets Survey Science” conference series and serves/d various professional associations (e.g., AAPOR, ESRA, ASA).