The TDAI Speaker Series features a diverse range of talks and seminars with TDAI innovators and leading data experts from around the globe. Join us each month for robust discussions around issues in data analytics – from ethical data use to racial bias to environmental governance.
Sessions are held on Thursdays, 12 – 1 p.m. ET.
“Digital Earth: The future of environmental governance in a wired world”
Dr. Karen Bakker is a Canada Research Chair and Professor at the University of British Columbia, with expertise in environmental governance, innovation, and digital technologies. She is the author of more than 100 academic publications and seven books. She is also a Pierre Elliott Trudeau Foundation Fellow and member of the Royal Society of Canada’s College of New Scholars, Artists and Scientists. She obtained her PhD from Oxford University (where she studied as a Rhodes Scholar) and her BASc (minor in Physics) from McMaster University.
Karen is a member of the Board of the International Institute for Sustainable Development, the Scientific Advisory Council of the Council of Canadian Academies, the Researcher Council of the New Digital Research Infrastructure Organization, and of the governing Council of the federal National Research Council. She regularly acts as an advisor to national and international organizations, including (currently) UNEP. Karen has also been the recipient of Canada’s Top 40 under 40 Award (2011), the Annenberg Fellowship in Communication (from Stanford University’s Center for Advanced Study in the Behavioral Sciences, 2015), and a Cox Visiting Professorship (Stanford School of Earth, Energy and Environmental Sciences, 2015). Her work was recognized by a SSHRC Impact Award in 2017.
Her involvement in the tech sector began in 2014, when she founded her first startup. After many first-timer mistakes and near-failures were redeemed by the acquisition of her most recent EdTech startup in 2017, she served as Strategy Director for Riipen, a Future of Work platform. She continues to serve as a coach and advisor to tech startups, particularly in the Conservation Tech and EdTech sectors.
Karen lives in Vancouver, Canada, with her husband, two daughters, and a cat named Luna. Under her pseudonym, Karen Le Billon, she writes books about kids, food, and culture. She cycles to work, and in her spare time can often be found paddleboarding, kayaking and rowing at one of Vancouver’s beaches.
Macarius Donneyong, TDAI Core Faculty, Assistant Professor, Pharmacy Practice and Science, College of Pharmacy; Division of Health Services Management and Policy, College of Public Health
“Measuring racial/ethnic disparities in medication adherence: Application of a multilevel health disparities framework”
The goal of this presentation is to demonstrate how to operationalize a multilevel health disparities framework to measure racial/ethnic disparities in medication adherence. Although both the National Academy of Medicine (NAM) and the National Institutes of Minority Health and Disparities (NIMHD) have proposed frameworks for measuring racial/ethnic health disparities in healthcare service utilization and outcomes, there is little guidance on how to operationalize these frameworks in research. I will discuss some of the challenges, propose some solutions and demonstrate how to operational these existing frameworks with a national healthcare database.
About Dr. Donneyong’s research:
The population of patients with complex chronic diseases is rapidly increasing and driving up healthcare utilization and cost. It is therefore imperative for healthcare providers to provide high-quality, evidence-based healthcare services to patients to preserve their cognitive, physical, and functional independence and quality of life at an affordable cost. Hence, Dr. Donneyong’s major research objective is to generate high quality and timely data on the utilization, safety, and effectiveness of medications, medical devices, and procedures through the analyses of data collected from routine healthcare delivery settings. He is also interested in studying how to optimize pharmacotherapy outcomes by studying the interrelationships between pharmacotherapy and behavioral risk factors such as physical activity, diet, and the psychosocial determinants of health. Therefore, Dr. Donneyong’s research is largely driven by the analyses of large health administrative claims databases, electronic medical records, and patient registries through the application of cutting-edge quantitative methodologies in epidemiology, pharmacoepidemiology, biostatisitcs, and health services research.
Ayaz Hyder, TDAI Core Faculty, Assistant Professor, Environmental Health Sciences, College of Public Health
“Addressing racial/ethnic disparities in translational data analytics and modeling for public health practice: Examples from models of the reproductive health system and setting up a COVID-19 school surveillance system”
I will describe two current projects where we faced challenges in addressing racial/ethnic disparities. I will review two approaches (community based system dynamics and school-based surveillance) that my lab has applied with diverse stakeholders to solve pressing public health challenges at the county and state level in Ohio.
About Dr. Hyder’s research:
Dr. Hyder’s research goal is to understand the role of multiple determinants of human health (e.g., social, environmental, biological) operating at multiple levels of organization (e.g., gene to society, space and time). He uses mathematical, statistical and computational approaches (e.g., systems science methods) to bring together theory, data and methods from multiple disciplines to build and validate predictive models of health. These models are further linked with health economics (e.g. cost-effectiveness analysis) to provide policy makers with tools to make better decisions.
Current areas of research include childhood asthma, the interplay of residential segregation and poverty traps on lifetime health trajectories, and environmental health disparities in preterm birth. He is also interested in questions about residential mobility, infectious diseases, and the role of place on health.
Brice Acree Memorial Lecture, presented in partnership with the Department of Political Science
This lecture commemorates the passing of Political Science and TDAI faculty member, Brice Acree on November 11, 2019. Brice was an assistant professor who joined OSU as part of the Data Analytics Discovery Theme. An expert on Text and Data, Brice developed a new technique for measuring ideology in political speeches, which he further applied in co-authored work to consider how candidates presented their policies to a primary versus general electorate. At OSU, Brice inspired a significant cohort of collaborators and mentees among graduate and undergraduate students in the Department of Political Science and he is remembered for his wit and kindness and his investment in his students’ research and careers.
This event will also include the presentation of a posthumous teaching award to the Acree family.
“The Prevalence of Fake News: 2016 to 2020”
How much “fake news”—ersatz content from seemingly legitimate publishers—was shared in 2016 and 2020, and by whom? This talk will walk through the tricky methodological challenges in counting suspect content, evaluate the patterns of sharing fake news, and discuss the implications for potential interventions to control exposure to misinformation.
Papers referenced in this talk:
Dr. David Lazer is a distinguished professor of political science and computer and information science at Northeastern University. He co-directs the NULab for Texts, Maps, and Networks. Prior to joining Northeastern University, Lazer was on the faculty at the Harvard Kennedy School (1998-2009).
His research focuses on the nexus of network science, computational social science, and collaborative intelligence. He founded the citizen science website Volunteer Science and the political visualization website VisPolics. His research has been published in journals such as Science, Proceedings of the National Academy of Science, the American Political Science Review, and the Administrative Science Quarterly. His work has received extensive media coverage by The New York Times, NPR, The Washington Post, The Wall Street Journal, and CBS Evening News.
Lazer serves as a board member for the International Network of Social Network Analysts, reviewing editor for Science, associate editor of Social Networks and Network Science, and on numerous other editorial boards and program committees. He is a founder of the Political Networks Section, as well as a founder and founding host of the Political Networks conference.
Monica Sanders is an Associate Professor of Sociology and Criminal Justice at the University of Delaware. Previously, she created and taught a disaster law course on at the Washington and Lee University School of Law; and has had faculty appointments at Georgetown University, where she teaches an experiential learning course in Disaster Law and Policy as well as Hazard Economics.
Professor Sanders also served Senior Legal Advisor for International Response and Programs at the American Red Cross, focusing on international disaster response and humanitarian assistance principles. Previously, she was a Senior Committee Counsel for both the House of Representatives and Senate Committees on Homeland Security.
She holds advisory board and fellowship roles with Friends of Europe (an international security think tank), the Institute for Building Technology and Safety and the Internet Society of DC. Professor Sanders received her degrees from the University of Miami (B.S.), the Catholic University of America (JD), Harvard Law School Project on Negotiation (Cert.) and University College London (LL.M).
Dena Asta, TDAI Core Faculty, Assistant Professor, Statistics, College of Arts and Sciences
Dr. Asta’s research interests include network inference and non-parametric methods on non-Euclidean spaces. Network inference aims to give statistically rigorous methods of analyzing and comparing brain networks, collaboration networks, and other real-world networks. Non-parametric methods on non-Euclidean spaces adapts non-parametric methods of inference to data that naturally lives in spaces other than Euclidean space; such data for example arises in brain imaging, astrostatistics, and radar tracking.
Joseph Bayer, TDAI Core Faculty, Assistant Professor, School of Communication, College of Arts and Sciences
Dr. Bayer’s research centers on social media analytics, social network cognition, and mobile technologies. In particular, he studies how people mentally perceive, understand, and represent social networks and technologies. This work takes an interdisciplinary approach, integrating cognitive theories and computational methods from communication, psychology, sociology, and information sciences. By explaining the underlying cognition beneath contemporary technologies and personal networks, Dr. Bayer’s research has implications for social technology design, communication strategy, and personal well-being over the long term.
Zhiqiang Lin, TDAI Core Faculty, Associate Professor, Computer Science and Engineering, College of Engineering
Dr. Lin’s primary research interests are systems and software security, with an emphasis on developing program analysis techniques and applying them to secure both application programs including mobile apps and the underlying system software such as Operating Systems and hypervisors. He is a recipient of the NSF CAREER Award and the AFOSR Young Investigator Award.
Raef Bassily, TDAI Core Faculty, Assistant Professor, Computer Science and Engineering, College of Engineering
Dr. Bassily’s research focuses on tackling current challenges in data analysis and machine learning especially those with direct impact on society such as privacy and security. Most of his recent research efforts have been devoted to developing practical algorithms with rigorous guarantees for privacy-preserving data analysis. The goal of this area of research is to enable conducting highly accurate analyses over private, personal data while providing rigorous guarantees of privacy for individuals whose data are collected; that is, to achieve the seemingly paradoxical goal of learning from private data without learning private data. Dr. Bassily’s research also addresses fundamental questions concerning the tension/harmony between machine learning and privacy, and the limits of learning with formal privacy guarantees.
Rayid Ghani is a Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University.
Rayid is a reformed computer scientist and wanna-be social scientist, but mostly just wants to increase the use of large-scale AI/Machine Learning/Data Science in solving large public policy and social challenges in a fair and equitable manner. Among other areas, Rayid works with governments and non-profits in policy areas such as health, criminal justice, education, public safety, economic development, and urban infrastructure. Rayid is also passionate about teaching practical data science and started the Data Science for Social Good Fellowship that trains computer scientists, statisticians, and social scientists from around the world to work on data science problems with social impact.
Before joining Carnegie Mellon University, Rayid was the Founding Director of the Center for Data Science & Public Policy, Research Associate Professor in Computer Science, and a Senior Fellow at the Harris School of Public Policy at the University of Chicago. Previously, Rayid was the Chief Scientist of the Obama 2012 Election Campaign where he focused on data, analytics, and technology to target and influence voters, donors, and volunteers. In his ample free time, Rayid obsesses over everything related to coffee and works with non-profits to help them with their data, analytics and digital efforts and strategy.
Jim Hood, TDAI Core Faculty, Assistant Professor, Department of Evolution, Ecology, and Organismal Biology; College of Arts and Sciences
Professor Hood is an ecologist who studies the patterns and fluxes of nutrients and energy in freshwater systems. His research broadly focuses on 1) how nutrient supply and temperature influence the growth and nutrient balance of organisms, and, 2) how these individual responses sum to shape ecosystem processes.
Margaret Kalcic, TDAI Core Faculty, Assistant Professor, Department of Food, Agricultural and Biological Engineering, College of Food, Agricultural, and Environmental Sciences, College of Engineering
Margaret Kalcic’s research is in the area of watershed hydrology with a particular focus on water quality in agricultural regions. One of her main goals is to provide producers in the western Lake Erie watersheds, as well as their advisors, information that encourages adoption of appropriate conservation measures to tackle Lake Erie’s nutrient goals. This involves not only scientific and modeling challenges, but engaging stakeholders and working across disciplines in the social sciences, economics, and policy domains.
Elizabeth S. Chen, PhD, FACMI is Interim Director of the Brown Center for Biomedical Informatics (BCBI), Associate Professor of Medical Science, and Associate Professor of Health Services, Policy & Practice at Brown University. Dr. Chen’s research involves involves leveraging electronic health data along with health information and communications technology to support biomedical discovery and healthcare delivery. Specific research interests include clinical documentation, clinical decision support, health information needs, standards and interoperability, natural language processing (NLP), and data mining and machine learning.
Within BCBI, Dr. Chen leads the Clinical Informatics Innovation and Implementation (CI3) Laboratory that has a three-fold mission to: (1) innovate use of the Electronic Health Record (EHR) for primary (e.g., patient care) and secondary (e.g., research, quality, and public health) purposes, (2) implement digital solutions within operational clinical and research systems, and (3) inspire the next generation of clinical informaticians. Her current research projects are focused on using data, technology, and computational approaches for improving mental health (mental health informatics) and child health (pediatric informatics).
As Director of the Advance-CTR Biomedical Informatics and Cyberinfrastructure Enhancement Core, Dr. Chen is actively involved with initiatives for making EHR data accessible and usable for the clinical and translational research community in Rhode Island. She is also contributing as a Faculty Scholar to the research and evaluation infrastructure for supporting work on a broad range of health initiatives within the Hassenfeld Child Health Innovation Institute.
Dr. Chen received a BS in Computer Science from Tufts University and PhD in Biomedical Informatics from Columbia University. Prior to joining Brown University in July 2015, she held appointments at Columbia University, Partners HealthCare/Brigham and Women’s Hospital/Harvard Medical School, and the University of Vermont.
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