SIPS 2026 DC

Annie Maheux is an Assistant Professor of Psychology and Neuroscience at the University of North Carolina at Chapel Hill, affiliated with the Developmental Psychology and Quantitative Psychology programs. She studies adolescent socioemotional development in the context of emerging technologies like generative AI and social media. Annie founded the Quant Family Collective in 2021 (https://www.quantfamilycollective.org/) and is passionate about demystifying quantitative methods for trainees in psychology, building community, and making science fun.

I am a social psychology PhD student at the University of Minnesota, with a background in clinical psychology. I'm interested in understanding various research reforms proposed to support research transparency and integrity (e.g., registered reports, pre-registration), and in identifying ways to make physical and mental health interventions more effective and accessible (e.g., optimizing digital interventions). I'm also interested in learning more about various critical perspectives in psychology and about effective pedagogical practices.

PhD candidate interested in statistical modelling, single case designs, meta-science and reproducibility. Advocating for researchers' laboral rights at @fjiprecarios & @dignimad

Crystal Steltenpohl is the Training and Education Manager at the Center for Open Science, spearheading initiatives to build awareness and skills in open scholarship through training and education.

As a community psychologist, Steltenpohl is passionate about improving individual and community well-being. Her goal as a mixed methods researcher is to use the best methods to ask the right questions and find feasible action steps.

Within open science, Steltenpohl has been particularly interested in encouraging open science advocates to have deeper conversations about what transparency and rigor mean, who we are being transparent with, and what assumptions are embedded within our conceptions of rigor. To this end, she is a founding member of Quala Lab, a collaboratively-run working group that works to find connections between the open science movement and qualitative and mixed methods research.

Steltenpohl has also worked in international contexts to improve scientific processes and disseminate research to diverse audiences through organizations like the Society for the Improvement of Psychological Science, the Psychological Science Accelerator, and the Framework for Open and Reproducible Research Training. She obtained her bachelor’s in English and Psychology at the University of Southern Indiana in 2011, her master’s in applied psychology from Southern Illinois University Carbondale in 2013, and her PhD in community psychology from DePaul University in 2017.

I have been active in the open science community since my post-doc days, working as a coordinator for citizen science projects with the Virginia Master Naturalists. Since coming to the Center for Open Science, I have worked to implement preregistrations as a common practice and have led the development of the Transparency and Openness Promotion Guidelines, TOP. Outside of work, I'm an avid runner, triathlete, sci-fi geek and Disney adult.

Don Moore holds the Lorraine Tyson Mitchell Chair in Leadership at the Haas School of Business at the University of California at Berkeley. He received his Ph.D. in Organization Behavior from Northwestern University. His research interests include overconfidence, including when people think they are better than they actually are, when people think they are better than others, and when they are too sure they know the truth. He is only occasionally overconfident.

I am currently a Professor of Cognitive Analytics at Harrisburg University of Science and Technology - a STEM school in Pennsylvania. I teach computational linguistics courses in our Analytics and Data Science programs, such as Natural Language Processing, Sentiment Analysis, and Human Language. I also teach a bunch of statistics courses and you can learn more about my stats work on my website aggieerin.com

My name is Ester Alongi. I am pursuing a PhD in Statistical Science at the University of Padua, supervised by Gianmarco Altoè, Full Professor at the Department of Developmental Psychology and Socialisation, University of Padua. I am currently conducting a visiting period at Dana-Farber Cancer Institute in Boston under the supervision of Giovanni Parmigiani, Full Professor at the Department of Data Science, Dana-Farber Cancer Institute, and at the Department of Biostatistics, Harvard T.H. Chan School of Public Health. My research interests focus on Bayesian statistics and mediation analysis, particularly in applications to psychological research.

I am a third-year PhD student in the School of Psychological Science, University of Bristol. My research focuses on the decolonisation of the psychology curriculum. I am particularly interested in exploring the initiatives universities are taking to decolonise their curricula, understanding the impacts of these initiatives on students, and examining how and why these effects occur. Alongside my research, I am a Student Fellow at the Bristol Institute for Learning and Teaching, where I focus on exploring how AI can be used to support education. As part of this role, I am also examining the theme of decolonisation of AI. My other research interests include positive psychology, cross-cultural research, and religion and spirituality.

I was born and raised in the Dominican Republic, where I was exposed to poverty, inequity, and a lack of access to adequate mental health care. This early exposure to health disparities motivated me to pursue a career in mental health. As an adolescent, I moved to New York, where I majored in psychology. After graduating, I moved to Boston, working in various settings, including research labs, hospitals, clinics, and community organizations.

My experiences in the Dominican Republic, New York, and Boston have shaped my understanding of mental health and the challenges individuals and communities face. I am currently at George Mason University as a PhD student under the mentorship of Dr. Natasha Tonge. I am committed to engaging my skills, knowledge, and the George Mason community to improve the lives of others and conduct culturally sensitive clinical psychological science.

Jonathan Griffin Perry (they/them) is an 3rd year undergraduate at George Mason University studying psychology. They currently serve as a lab manager in Dr. Natasha Tonges’ Trust and Interpersonal Disclosure Lab. Their passions lie in research and advocacy for underserved populations, particularly queer men of color.

Maia Southwick (msouthwick@ucdavis.edu) is a 3rd year Ph.D. student in Developmental Psychology at the University of California, Davis. She obtained her bachelor’s degrees in Psychology and Health, Society, and Policy from the University of Utah in 2021. Her research involves learning how to best represent intraindividual change and intraindividual variability in moral cognition across adolescence.

I am currently an Assistant Researcher on the EXCELScIOR project at the University of Coimbra. My work falls into two main themes: 1. replicability and generalisability, and 2. uptake of open science practices by students, researchers, and journal editors. I am also currently Associate Director of the Journal Editors Discussion Interface.

Sharon Lee Armstrong, PhD, Professor of Psychology and Director of Research & Dissertations at La Salle University. My specializations within the interdisciplinary field of cognitive science are psycholinguistics, semantics/ concepts/ categorization, and reasoning & decision making. My research focuses on NT adults and children and on selective mutism, autism, and TBI. I have published articles on Selective Mutism and a book, EXPRESS, on working with children with SM to advance their language skills. I

Steven Zhou is an Assistant Professor of Psychological Science at Claremont McKenna College. His research and teaching focus on quantitative methods and data science applied to organizational phenomena such as leadership, personality, and career development. He uses methods ranging from traditional multivariate statistics to natural language processing (NLP) and AI, with an eye toward producing research with real-world impact for everyday leaders, managers, and employees. He earned his Ph.D. in Organizational Psychology from George Mason University with a certificate in Computational Social Sciences. He has previous industry work experience in HR, nonprofit management, and institutional data analytics.