|BioSocial Methods Newsletter – June 2017 – Issue #15|
COMING THIS FALL!
The University of Michigan HomeLab is a homelike research environment with comprehensive research support provided by the BioSocial Methods Collaborative. The HomeLab is located at the Institute for Social Research, and offers a fully functional apartment to facilitate human-centered research in a wide variety of contexts. Integrated into the HomeLab is an extensive suite of physiology measurement tools and access to an on-site bio-specimen lab.
Take a peek into the new U-M HomeLab
MEMBERSHIP IN THE NEWS
Development of the Modified Yale Food Addiction Scale Version 2.0
Brenda Volling and Richard Gonzalez
His, Hers, or Theirs? Coparenting After the Birth of a Second Child
Kelley Kidwell and Sofia Merajver
Breast Cancer in Ghana: Demonstrating the Need for Population-Based Cancer Registries in Low- and Middle-Income Countries
Glad to Have a VAD Across Intermacs Profiles
Fast Monte Carlo Algorithms for Tensor Operations
Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African ancestry anthropometry genetics consortium
Kids Who Use Smartphones Start Talking Later
Emily Mower Provost
ISLA: Temporal Segmentation and Labeling for Audio-Visual Emotion Recognition
Hallie Prescott and Theodore Iwashyna
Time to Treatment and Mortality during Mandated Emergency Care for Sepsis
Jill Becker and Mary Heitzeg
Gender differences in the transmission of risk for antisocial behavior problems across generations
Our teeth are making us sick
David C. Miller
Hospital ratings correlate with Ca surgery outcomes
Niko Kaciroti and Betsy Lozoff
Prenatal naled and chlorpyrifos exposure is associated with deficits in infant motor function in a cohort of Chinese infants
Silvia Bisconti and Ioulia Kovelman
Tinnitus alters resting state functional connectivity (RSFC) in human auditory and non-auditory brain regions as measured by functional near-infrared spectroscopy (fNIRS)
Jennifer Smith, Sharon Kardia, and Erin Ware
Polymorphisms in Renal Ammonia Metabolism Genes Correlate with 24 Hour Urine Ph
Francis Pagani, Min Zhang, Brahmajee Nallamothu, and Donald Likosky
A Roadmap for Evaluating the Use and Value of Durable Ventricular Assist Device Therapy
Congratulations Karen Nielsen
BioSocial Methods researcher Karen Nielsen has earned her Ph.D. Dr. Nielsen’s thesis is in statistics.
Karen Nielsen is a postdoctoral research fellow in the BioSocial Methods Collaborative, housed in the University of Michigan Institute for Social Research’s Research Center for Group Dynamics. Her work with the BioSocial Methods Collaborative involves development of methods for analyzing multi-modal data. As a statistician working on interdisciplinary projects, she seeks out opportunities for statistics and quantitative methods innovations inspired by practical research questions. Her dissertation uses neuroscience as motivation to show how selecting a problem-appropriate basis set can allow for more straight-forward modeling and analysis in a hierarchical framework. She is also passionate about teaching and statistics education.
EDUCATION AND TRAINING OPPORTUNITIES
October 19-20, 2017
8th Annual Integrating Genetics and the Social Sciences Conference
With support from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the Office of Behavioral Social Sciences Research, the Institute of Behavioral Science and University of Colorado Population Center are hosting the 8th annual conference entitled Integrating Genetics and the Social Sciences. The goal of this conference is to showcase behavioral and molecular genetic studies that enhance demographics and social scientific inquiry. The two day conference will include a 4 hour advanced statistical genetics workshop. Researchers from any of the biological or social sciences are encouraged to participate.
More information about the conference may be found by clicking here.
Our mission is the innovation of new methods to integrate biology and behavior.
Biosocial research is complex and challenging given the many different ways and types of data that is collected. It requires expertise in many domain areas. The Collaborative is developing expertise in the various modes with staff expertise and through collaboration with our membership.
The Collaborative provides comprehensive, customized support to researchers working to connect biological data and social/behavioral data. Support includes:
- Identification of researchers/experts for collaboration
- Scoping a study
- IRB application support
- Boilerplate Facilities and Resources document for grant applications
- Study design
- Participant recruitment & scheduling
- Data collection
- Data management
- Data analysis
- Methods innovation
- Coordinating methods problem solving sessions
- Full-time staff with expertise in biosocial research processes and methods
Wherever you are in your research process the Collaborative has the capability to assist you.
Visit our website for more information.
Copyright © 2017 University of Michigan BioSocial Methods Collaborative, All rights reserved.