Reminder Call for Papers: Experimental and Clinical Psychopharmacology (Due: Oct 1, 2021)
Special Issue on Crowdsourcing Methods in Addiction Science: Emerging Research and Best Practices
This Special Issue will assemble a collection of papers on best practices and emerging research using crowdsourcing for addiction science. With the changing landscape of work amidst the global COVID-19 pandemic and increasing costs associated with collecting large participant samples, addictions researchers are increasingly turning to alternative methods for recruiting participants and collecting data. Crowdsourcing platforms—such as Amazon Mechanical Turk, Prolific, and Qualtrics Panels—have become a dominant form of sampling in recent years. These crowdsourcing platforms allow researchers to continue to collect data from large samples of human participants when face-to-face visits are challenging, cost-prohibitive, or infeasible (e.g., research sites at logistically prohibitive distances, social distancing requirements during COVID-19). Alongside optimism about the practical benefits that crowdsourcing may provide are uncertainties about the validity of these Internet-based approaches and how they can (and cannot) be used. Any articles addressing the use of crowdsourcing in addictions science are welcome, but three areas are of specific interest. First, the issue aims to provide an historical and contemporary overview of available crowdsourcing platforms and how these have been used in addiction and behavioral science research. Second, innovative examples of original research studies will be included to illustrate the unique promise of crowdsourcing. The third area of emphasis involves the potential pitfalls of using this technology for data collection and methods to ensure that data are reliable and valid. Taken together, the overarching goal of this Special Issue is to highlight best practices for using crowdsourcing in addiction science while also drawing attention to important methodological and conceptual limitations of this methodology.
We encourage submission of review articles and original research reports in these areas, including novel strategies or methodological advances in crowdsourcing research in addictions. Papers addressing a variety of substances, including alcohol, tobacco, cannabis, and other drugs, as well as behavioral addictions are welcome. Researchers in this area may submit their manuscripts to Experimental and Clinical Psychopharmacology to be considered for inclusion in this special issue. Manuscripts should be submitted as usual through the APA Online Submission Portal (http://pha.edmgr.com/), and the cover letter should indicate that the authors wish the manuscript to be considered for publication in the special issue: Crowdsourcing Methods in Addiction Science: Emerging Research and Best Practices. All submissions will undergo our normal peer review. Manuscripts received no later than October 1, 2021 will be considered for inclusion in the special issue. We strongly encourage individuals to contact the guest editors in advance with their ideas and a draft title and abstract.
Questions or inquiries about the special issue can be directed to the Guest Editors of the issue, Justin Strickland, PhD, at jstric14@jhmi.edu, Michael Amlung, PhD, at mamlung@ku.edu, or Derek Reed, PhD, at dreed@ku.edu, or the Editor, William W. Stoops, PhD at William.stoops@uky.edu.
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Justin C. Strickland, Ph.D.
Instructor
Behavioral Pharmacology Research Unit
Department of Psychiatry and Behavioral Sciences
Johns Hopkins University School of Medicine
Phone: (410) 550-1975
He/him/his
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