ISPCAN Article of the Year

I am an Assistant Professor at the Ohio State University. My scholarship focuses on the multiple contextual influences of risk (e.g., traumatic experiences) and protective factors (e.g., social networks) associated with adverse child experiences focusing on vulnerable populations. My research goal is to reframe existing narratives to empower communities using “big” data and a broad range of statistical (e.g., Network Analysis, Latent Variable Modeling) and geospatial methodologies (Bayesian Spatiotemporal Modeling). In 2020, I was co-PI on a grant from the National Science Foundation to estimate the unintended consequences of policy interventions and disparities related to the COVID-19 pandemic.

Lawrence B. Schiamberg was formerly Associate Dean for Research, Outreach and International Programs in the College of Human Ecology (1999-2003) and Director of the Institute for Children, Youth and Families (ICYF) at MSU from 1996-1998 where he was the Senior Editor of the MSU Series on Children, Youth, and Families. He has served as President-Elect of the Society for the Study of Human Development (SSHD) from 2007-2009 and as President of SSHD from 2009-2011. Most recently his research has focused on adolescent bullying and elder abuse in families and in nursing homes. He is the author of numerous published articles and books, including seminal research and publications on the contextual (family, school and community) bases of adolescent bullying and elder abuse. His early work included the following books: Adolescent Alienation (1973); Teaching About Adolescence (1998); and some of the first human development and child development texts written from a systems/ecological perspective --Human Development (1982 and 1985, Macmillan Publishing Co.) and Child and Adolescent Development (1988, Macmillan).

Claudia Cappa is a Senior Adviser for Statistics and Monitoring in the Data and Analytics Section, at the UNICEF headquarters. She is the focal point for data collection, data analysis and methodological work on Early Childhood Development, Child Disability and Child Protection from Violence, Exploitation and Abuse. The support for these activities includes elaboration of survey questionnaires and data collection tools, estimations, development of methodologies, indicators, tools and normative guidelines, capacity building, data analysis, production of reports, as well as delivery and dissemination of final results. In this capacity, she has led the preparation of a number of data-driven publications and is responsible for interagency collaborations and partnerships. Prior to joining UNICEF, she was working at the University of Geneva and at the Institute for Social Studies of the International Labour Organization (ILO). Claudia Cappa holds a MA and a doctorate in Development Studies from the Graduate Institute of International and Development Studies, Switzerland.

Nicole Petrowski is a Statistics and Monitoring Specialist in the Data and Analytics Section at UNICEF headquarters. Since 2011, she has been supporting with data collection, data analysis and methodological work on Early Childhood Development and Child Protection from Violence, Exploitation and Abuse. These activities include development and validation of survey questionnaires, data collection tools, methodologies, and guidelines; production of estimates and data analyses; preparation of reports and other dissemination materials; and capacity building. She has a Master’s degree in Developmental Psychology from the University of Toronto in Toronto, Canada.

(2004) Rutgers, The State University of New Jersey. Dr. Ramirez Marquez is Director of the Enterprise Science and Engineering Division and Associate Professor in the School of Systems & Enterprises at Stevens Institute of Technology. A former Fulbright Scholar, he holds degrees from Rutgers University in Industrial Engineering (Ph.D. and M.Sc.) and His research efforts focus on the development of mathematical models for the analysis and computation of system operational effectiveness - reliability and vulnerability analysis as the basis for designing system resilience. He also works at the intersection of evolutionary computation for the optimization of complex problems associated with system performance and design. His most recent research explores the interplay between data visualization and analytical decision-making. In these areas, Dr. Ramirez-Marquez has conducted funded research for both private industry and government and, has published over 100 refereed manuscripts in technical journals, book chapters and industry reports. Statistics (M.Sc.) and from Universidad Nacional Autonoma de Mexico in Actuarial Science.

Carlo Lipizzi, Ph.D. is a professional in the fields of Machine Learning and Data Science, with experience in both academia and the private sector. He currently serves as an Associate Professor at the School of Systems and Enterprises at Stevens, where he conducts research on Data Science, AI/Machine Learning, and Natural Language Processing. In addition, he is the Director for the graduate programs in Engineering Management and Systems Analytics and serves as the Director for the Center for Complex Systems and Enterprises. Dr. Lipizzi holds a Ph.D. in System Engineering from Stevens, as well as an Executive Management Degree from IMD in Lausanne, Switzerland, and a master’s in mathematics from the University of Rome in Italy. Over the past four years, Dr. Lipizzi has taught more than 500 students in the field of Data Science and has managed projects totaling approximately $6M as a Principal Investigator. He has also leveraged his extensive 25 years of international experience in the Information Technology, Telecommunication and Management Consulting industries to develop a consulting practice on AI/ML/NLP. Throughout his career in industry, Dr. Lipizzi has opened and closed several companies in the European Union, Brazil, and the United States Details here: http://www.linkedin.com/in/clipizzi