The Center for Family and Demographic Research presents

Caregiving and Family Well-Being in Later Life

Thursday, November 8, 2018 | 8:30 a.m. to 2:45 pm
Most adults experience health declines in later life, often necessitating reliance on caregivers to navigate daily living. Caregiving is primarily performed informally by families, but older adults in advanced age may also turn to paid care. As an aging nation, the U.S. can expect demand for caregiving to grow in the coming years, and this burden is likely to fall on both family members and paid caregivers. The Center for Family and Demographic Research will host three leading scholars who will share their latest research on patterns of informal and formal caregiving and the implications for individual well-being.

This symposium is designed for researchers, faculty and graduate students. There are no CEUs.

Because of limited seating, pre-registration is required. Please contact the CFDR office to pre-register.

It Takes a Convoy: Rethinking the Study of Caregiving and Care Partnerships
Candace L. Kemp, PhD
Professor
The Gerontology Institute and Department of Sociology
Georgia State University

Patterns of Family Caregiving within and Across Families
Esther M. Friedman, PhD
Behavioral and Social Scientist
Professor, Pardee RAND Graduate School

Time Use and Experienced Well-being of Older Caregivers: A Sequencing Analysis
Vicki A. Freedman, PhD
Research Professor
Institute for Social Research, University of Michigan

Adrian Dobra

Associate Professor, Statistics, Nursing, and the Center for Statistics and the Social Sciences, University of Washington, https://www.stat.washington.edu/adobra/

Very little is known at the present time about the role of the place of residence of mobile individuals in the transmission of HIV outside high transmission areas such as mining settlements, transport corridors, or poor urban and periurban communities. The main objective of this study is to bridge a widening knowledge gap that is caused by new mobility dynamics of men and women that live in rural South Africa.

This study makes use of data from one of the most comprehensive demographic surveillance site in Africa that is characterized by high adult HIV prevalence, high levels of poverty and unemployment and frequent residential changes. Its main objective was to determine which places of residence are predictive of HIV acquisition. Between 2004 and 2016, residence changes were recorded for 21,015 individuals over 105,614 person-years. These individuals were HIV negative at baseline. This is one of the largest HIV incidence cohorts in the world in terms of the number of individuals under surveillance, and the number of person-years of surveillance. Over the study duration, there were a total of 3,264 HIV seroconversions. We organized our data in two 48-dimensional contingency tables, one for men and one for women that cross-classify the study participants with respect to the locations of their residencies, their age, and whether they seroconverted. We used state of the art Bayesian methods for structural learning of graphical loglinear models to identify mobility graphs which encode the strongest multivariate predictive relationships supported by the data. Our analysis of the mobility graphs shows that whether men move farther away from their original places of residence is predictive of their likelihood of HIV seroconversion (OR = 2.003, 95\% CI = [1.718,2.332]), but similar residential changes do not seem to predictive of HIV seroconversion in women given their age. The location of the original place of residence is not a strong predictor for HIV acquisition in both men and women given knowledge of age and whether residential moves over longer distances have occurred.

The results of this study which is one of the largest individual-level longitudinal study of mobility patterns and HIV to date, provide evidence that geodemographic segmentation based on the history of residential locations, gender and age can constitute a reliable, objective, cost-effective way to ensure optimal allocation of HIV prevention intervention strategies.

Job Title: Research Assistant working with Dr. Ali Rowhani-Rahbar at the University of Washington

50% FTE appointment (20 hours/week)

Department:                             Epidemiology
Date Available:                         Winter through Summer Quarter (12/16/18 – 09/15/19)

Application Deadline: The ASE contract stipulates that open-hire positions be posted for a minimum of 1 week.  Following that guideline, this position is open until filled, but priority will be given to students who apply no later than 10/26/18

General Duties/Description: The overarching goal of this project is to examine the impact of state earned income tax credit policies on the primary prevention of multiple forms of violence including child maltreatment, youth violence, sexual violence, intimate partner violence, and suicide. The project offers a multitude of opportunities to work with large national, state, and sub-state databases and use advanced analytic methods in causal inference. The Predoctoral Graduate Research Assistant will be responsible for working closely with the Principal Investigator, Co-Investigators, and other study team members in data acquisition, management, and analysis throughout the study, conducting regular systematic search of the current literature to keep the research team abreast of state-of-the-art developments related to earned income tax credit policies as well as different forms of violence, and preparing interim, ancillary, and final scientific reports, papers, and presentations. For more information on the project please visit:  https://projectreporter.nih.gov/project_info_description.cfm?aid=9668336&icde=41531461

Requirements: Enrollment in a relevant doctoral program

Salary: Salary and benefits are competitive. Salary is commensurate with academic standing, qualifications, and experience.

How to Apply: Provide a cover letter and CV to Ali Rowhani-Rahbar rowhani@uw.edu

Application inquiries may be made with: Ali Rowhani-Rahbar rowhani@uw.edu

Notes: This job classification is governed by a negotiated labor contract and is subject to union shop provisions. For more information about union shop provisions, visit: http://www.washington.edu/admin/hr/jobs/apl/union-info.html

The University of Washington is an equal opportunity, affirmative action employer. To request disability accommodation in the application process, contact the Disability Services Office at 206.543.6450 / 206.543.6452 (tty) or dso@u.washington.edu.

The UW eScience Institute is pleased to announce the Data Science Incubation Program, for the Winter Quarter 2019.

The goal of the Data Science Incubator is to enable new science by bringing together data scientists and domain scientists to work on focused, intensive, collaborative projects.  Our team of data scientists provides expertise in state-of-the-art technology and methods in statistics and machine learning, data manipulation and analytics at all scales, cloud and cluster computing, software design and engineering, visualization, and other topics.

We invite short proposals (1-2 pages) for one-quarter data-intensive research projects focusing on extracting insight from large, noisy, or heterogeneous datasets.

The program is open to any faculty, postdoc, staff, or student whose research can be significantly advanced by intensive collaboration with a data science expert. To apply, we require a short project proposal describing the science goals, the relevant datasets, and the expected technical challenges.  The ideal proposal will clearly identify both the datasets involved and the questions to be answered, and will explain how the technical component of the project is critical to delivering exciting new findings.

Each project must include a project lead who is willing to physically co-locate with the incubator staff. We find that collaboration in a shared space is important for deeper technical engagement and provides opportunities for “cross-pollination” among multiple concurrent projects. The Incubator operates on Tuesdays and Thursdays out of the WRF Data Science Studio (6th floor of the Physics/Astronomy Tower). The project lead should plan to work in the Studio for several hours on these days.

Incubator projects are not “for-hire” software jobs — the project lead will work in collaboration with the data scientists and the broader eScience community. Each project lead will “own” their project (and its results) and be responsible for its successful completion, with the eScience team providing guidance on methods, technologies, and best practices as well as general software engineering.

For more information including how to apply, see our Incubator Program page.

Important Dates for the Winter 2019 Incubator

October 25th: Information meeting 1-2 PM. Location: WRF Data Science Studio, 6th floor Physics/Astronomy Tower.

November 9th: Applications due EOD.

December 3rd: Notification or proposal selections.

January 8th: Kickoff meeting. Location: WRF Data Science Studio.

The UCLA Jonathan and Karin Fielding School of Public Health invites applications for a full-time, state-funded tenure-track Assistant or tenured Associate Professor of Mental Health Epidemiology.

The ideal candidate will have a strong, emerging record of an innovative and productive research program in mental health epidemiology, including mental health, substance use, and/or psychiatric disorders, and a history of successful external funding, consistent with career stage. The successful candidate should also have a strong track record and dedication to teaching foundational and advanced epidemiology courses (e.g., introductory epidemiology, population health, measurement, research methods, and/or study design), as well as courses in the candidate’s specialty area.

Since its inception, the UCLA Department of Epidemiology has established itself as a leader in epidemiologic theory and methods, applied epidemiology, and public health. We are looking for a candidate with excellence in research and dedication to teaching and training the next generation of epidemiologists in areas such as, but not limited to, epidemiologic studies of mental health and substance use, randomized clinical trials for psychiatric disorders, psychiatric genetics, psychopharmacology, mental health comorbidities with infectious or other chronic diseases, and/or mental health-related studies using “big data” (e.g., omics, electronic health records, administrative databases, internet-based data).

The Fielding School of Public Health is located on the main UCLA campus in direct proximity to the other health sciences schools (Medicine, Dentistry, and Nursing), several professional schools, the Semel Institute, and the College of Letters and Science. The UCLA community has a rich history of and commitment to interdisciplinary research and collaboration, including partnerships with the VA. The Department also has strong research and training relations with the Los Angeles County Department of Public Health and national and international institutions.

Successful candidates must have (or be on track to conclude before July 1, 2019) a doctoral degree (PhD, ScD, MD, DrPH or equivalent) in Epidemiology or related field, demonstrable expertise and interest in epidemiologic research, evidence of excellence in teaching and training of pre- and/or post-doctoral students, peer-reviewed publications, and a demonstrated commitment to public health. Faculty appointment level and salary will be commensurate with the candidate’s experience and qualifications.

The deadline for applications to be submitted is November 1, 2018 but the search remains open until the position is filled. The anticipated start date is July 1, 2019. Informal inquiries may be submitted to episearch@ph.ucla.edu.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy.

Cropper GIS is a consulting firm based out of central Ohio, and we primarily work in the K-12 school planning industry. The services we provide to clients include enrollment forecasting, school facility planning, redistricting, and online map hosting. Our company is small, but we do big things and are growing. Our staff works from home offices, but this candidate will be expected to travel to client sites (estimated 5-6 nights per month during Fall/Winter). Our work environment is laid back and we have fun, but the work can be rigorous at times. Fall/Winter is crunch time, but we enjoy a slower period during late Spring and Summer.

We are looking to add 1-2 staff members to our team. It would be preferred if the candidate lived in the Midwest or East Coast. Depending on the resumes received, the qualifications listed below may necessitate hiring 2 persons. The required/desired qualifications of this candidate/s includes:

Required:
– GIS experience (geocoding, polygon editing, cartographic skills)
– Experience with Microsoft Office (Word, Excel, Access, Powerpoint)
– Ability to work from home
– Ability/Confidence to present to audiences (committees, school boards). We know it’s rare, but someone who is good at tech while also a ‘people person’ would be perfect!
– Ability/Willingness to travel during the week (no weekend travel)

Desired:
– Experience in demography, developing enrollment projections and/or population forecasting
– HTML5 and experience developing online map solutions (ArcGIS online and/or custom mapping applications)

The candidate will eventually be expected to manage projects and work directly with clients, once they are ready.

Depending on the required and desired skill sets of the candidate, the annual salary for this position can range from $40,000 to $75,000, also with potential for performance bonuses.

If you are interested, please send your resume to croppergis@gmail.com

The American Association of Geographers 2019 Annual Meeting is welcoming papers that examine: environmental impacts on migration; environmental implications of migration; role of vulnerability and adaptive capacity (e.g. gender, socioeconomic status) in shaping environmental migration; trapped populations of potential environmental migrants; and related topics.

Scholarship on environmental migration has moved well beyond simple case studies and normative debates over terminology. Today, it features substantive theory and empirical approaches that draw upon a range of natural and social science disciplines. Geographers have been important leaders in environmental migration research over the last two decades, and continue to make cutting-edge contributions to the field. As countries and communities struggle to cope with climate change, migration will become an increasingly important feature of the adaptation landscape. This session will feature emerging and established scholars presenting their latest empirical and theoretical research on the topic, and seeks to generate active discussion of key emergent issues in the field.

Organizers: Maia Call (National Socio-Environmental Synthesis Center) and Robert McLeman (Wilfrid Laurier University)

Sponsored by: Population Specialty Group and Human Dimensions of Global Change Specialty Group

Interested applicants should send abstracts of no more than 250 words to Maia Call at mcall@sesync.org and Robert McLeman at rmcleman@wlu.ca by Monday, October 22nd. Accepted applicants will be notified by Wednesday, October 25th.