Draft:Inbal Nahum-Shani
 | Review waiting, please be patient.
This may take 7 weeks or more, since drafts are reviewed in no specific order. There are 1,237 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
| Submission declined on 2 August 2024 by Greenman (talk). This submission does not appear to be written in the formal tone expected of an encyclopedia article. Entries should be written from a neutral point of view, and should refer to a range of independent, reliable, published sources. Please rewrite your submission in a more encyclopedic format. Please make sure to avoid peacock terms that promote the subject.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. |  |
Inbal Billie Nahum-Shani is a Research Professor at the Institute for Social Research at the University of Michigan. She is also the Director of the Data Science for Dynamic Decision-Making Center (d3c) at the U-M Institute for Social Research.[1]
Research and Contributions
[edit]Nahum-Shani's research focuses on the development and application of behavioral theories and methodologies for designing adaptive interventions. These interventions are designed to adjust the type, timing, dosage, or delivery method of support to address individuals’ changing needs.[1] A significant aspect of her work involves utilizing digital technology to enable real-time adaptation of interventions in daily life settings.[2]
She is known for her work in developing and extending experimental designs, including Factorial Designs,[3] Sequential Multiple Assignment Randomized Trials (SMARTs),[4] Micro-Randomized Trials (MRTs),[5] and Hybrid Experimental Designs (HEDs).[6] She has also been recognized for her work on defining and conceptualizing engagement in digital interventions, [7] which is an important consideration in the evaluation of digital health tools.
Her scholarly contributions to the field of adaptive interventions were recognized with the University of Michigan Research Faculty Recognition Award in 2017.[8] She has been invited to speak on her work in Hybrid Experimental Designs by Northwestern University Feinberg School of Medicine,[9] and in engagement in digital health by the McLean Institute for Technology in Psychiatry.[10]
Leadership
[edit]As Director of the Data Science for Dynamic Decision-making Center (d3c), Nahum-Shani oversees several major research initiatives, including a P50 Center of Excellence funded by the NIH and NIDA.[11] This initiative focuses on advancing experimental designs and data analytic methods to adapt and personalize services, particularly for drug use and HIV prevention and treatment.[12] Additionally, she serves as a Project PI for the NIH-funded Intensive Longitudinal Health Behavior Network.[13]
Nahum-Shani’s expertise in intervention research design has earned her leadership roles across various networks and organizations. She serves on the advisory boards for the Center for Technology and Behavioral Health at Dartmouth College[14] and the Northeast Node of the National Drug Abuse Treatment Clinical Trials Network.[15]
Her influence extends to editorial leadership, including serving on the editorial board of Academy of Management Discoveries[16] and acting as guest editor for a special issue of Frontiers in Digital Health on digital technology for tobacco control.[17]
Publications
[edit]For a comprehensive list of her publications, refer to Inbal Billie Nahum-Shani's Google Scholar page.
References
[edit]- ^ a b "Inbal Billie Nahum-Shani". d3c. Retrieved 2024-11-19.
- ^ Nahum-Shani, Inbal; Smith, Shawna N.; Spring, Bonnie J.; Collins, Linda M.; Witkiewitz, Katie; Tewari, Ambuj; Murphy, Susan A. (2018). "Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support". Annals of Behavioral Medicine. 52 (6): 446–462. doi:10.1007/s12160-016-9830-8. PMC 5364076. PMID 27663578.
- ^ Nahum-Shani, Inbal; Dziak, John J.; Collins, Linda M. (September 2018). "Multilevel factorial designs with experiment-induced clustering". Psychological Methods. 23 (3): 458–479. doi:10.1037/met0000128. ISSN 1939-1463. PMC 5630520. PMID 28383950.
- ^ "National Center for Special Education Research (NCSER) Presentations and Publications: A Compendium of Math and Science Research Funded by NCER and NCSER: 2002–2013". ies.ed.gov. Retrieved 2024-08-01.
- ^ Qian, Tianchen; Walton, Ashley E.; Collins, Linda M.; Klasnja, Predrag; Lanza, Stephanie T.; Nahum-Shani, Inbal; Rabbi, Mashfiqui; Russell, Michael A.; Walton, Maureen A.; Yoo, Hyesun; Murphy, Susan A. (October 2022). "The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations". Psychological Methods. 27 (5): 874–894. doi:10.1037/met0000283. ISSN 1939-1463. PMC 9276848. PMID 35025583.
- ^ Nahum-Shani, Inbal; Dziak, John J.; Venera, Hanna; Pfammatter, Angela F.; Spring, Bonnie; Dempsey, Walter (March 2024). "Design of experiments with sequential randomizations on multiple timescales: the hybrid experimental design". Behavior Research Methods. 56 (3): 1770–1792. doi:10.3758/s13428-023-02119-z. ISSN 1554-3528. PMC 10961682. PMID 37156958.
- ^ Arigo, Danielle; Jake-Schoffman, Danielle E.; Pagoto, Sherry L. (2024-10-28). "The recent history and near future of digital health in the field of behavioral medicine: an update on progress from 2019 to 2024". Journal of Behavioral Medicine. doi:10.1007/s10865-024-00526-x. ISSN 1573-3521. PMID 39467924.
- ^ "Inbal (Billie) Nahum-Shani Given 2017 Research Faculty Recognition Award". October 2017. Retrieved 2024-11-19.
- ^ Northwestern Univ. Feinberg School of Medicine (2024-01-12). Hybrid Experimental Designs. Retrieved 2024-11-19 – via YouTube.
- ^ McLean Institute for Technology in Psychiatry (2020-01-23). Inbal (Billie) Nahum-Shani & Donna Spruijt-Metz: "Engagement In Intensive Longitudinal...". Retrieved 2024-11-19 – via YouTube.
- ^ "U-M lab receives $13.2 million NIDA grant to optimize interventions for substance abuse disorders". News-Medical. 2021-09-28. Retrieved 2024-11-19.
- ^ "RePORT ⟩ RePORTER". reporter.nih.gov. Retrieved 2024-08-01.
- ^ "Intensive Longitudinal Health Behaviors Network (ILHBN) | Interagency Modeling and Analysis Group". www.imagwiki.nibib.nih.gov. Retrieved 2024-11-19.
- ^ "Meet Our Team". The Center for Technology and Behavioral Health. Retrieved 2024-11-19.
- ^ "Inbal (Billie) Nahum-Shani". The National Drug Abuse Treatment Clinical Trials Network - Northeast Node. Retrieved 2024-11-19.
- ^ "Discoveries Editorial Team". AOM_CMS. Retrieved 2024-11-19.
- ^ "Digital Technology for Tobacco Control: Novel Data Collection, Study Designs, and Interventions". www.frontiersin.org. Retrieved 2024-11-19.