The purpose of this R01 funding is to support studies that identify mechanisms, explanations, and modifiable risk factors underlying recent trends of growing inequalities in morbidity and mortality by income, education, and geographic location at older ages in the United States.

The Annual Meeting of the American Sociological Association provides the opportunity for professionals involved in the scientific study of society to share knowledge and new directions in research and practice. Approximately 600 program sessions are convened during the four-day meeting held every August to provide participation venues and networking outlets for nearly 3,000 research papers and over 4,600 presenters.

The IAGG World Congress is the largest worldwide conference on aging, covering the latest science, research, training, technology, and policy development presented by experts from around the world. The 2017 Congress – “Global Aging and Health: Bridging Science, Policy, and Practice” – will bring together representatives from medicine, nursing, social science, psychological science, finance, policy fields, and other disciplines to address the latest approaches to improving the quality of life of the world’s older adults.

Dementia researchers, clinicians, advocates, and health care providers from around the world will meet at the AAIC Conference in London. Some 4,000 members of the Alzheimer’s community are expected to attend, reporting on new findings and discussing the latest in emerging technologies and approaches to discovery. The conference will feature more than 90 sessions, 1,500 posters and 475 presentations.

The RAND Summer Institute addresses critical issues facing our aging population, and offers attendees the opportunity to connect with expert researchers in a variety of disciplines to discuss the interrelationship of health, economic, status, and public policy in the aging field. The conference is sponsored by the National Institute on Aging and the National Institutes of Health (NIH) Office of Behavioral and Social Sciences Research.

This workshop provides training in the production of population estimates and projections as well as the evaluation of data quality. Key tools include the Census Bureau’s Demographic Analysis and Population Projections System (DAPPS) and Population Analysis System (PAS) spreadsheets, the United Nations’ MORTPAK package, and other selected software. Case studies and hands-on exercises give participants an opportunity to work through the full range of analytical decisions required by a demographer in applying the techniques covered in the workshop. Participants who bring their own data have an opportunity to apply the techniques covered in the workshop and to receive feedback on how to interpret the results.

Course Contents
– Population age-sex structure: a tool to understand demographic change and evaluate data quality
– Concepts and measurements related to demographic change: fertility, mortality, and migration
– Direct and indirect estimation techniques for fertility and mortality data from registration systems, household surveys, and censuses
– Visualization and evaluation of inconsistent estimates
– Challenges in measuring internal and international migration
– Preparation of inputs for national and subnational population estimates and projections
– Cohort component and mathematical approaches to population projections

Audience and Prerequisites
This workshop is designed to meet the needs of participants involved in national programs of demographic estimation and projection. Participants with a demographic background will benefit most from this workshop. Good computer skills are a prerequisite.

Date: July 10 – 21, 2017
Place: U.S. Census Bureau Headquarters, Suitland, MD (near Washington, D.C.)
Tuition: US $3,000

Apply early. The workshop will be limited to 15 participants. Those who complete the application requirements will be accepted on a first-come, first-served basis. For more information e-mail

The Mini-Medical School is an invitational series of lectures about biomedical issues relating to aging. The program should be of interest to all non-medically trained scholars whose research relates to the aging process and the medical treatment of elderly. It is sponsored by the National Institute on Aging and the NIH Office of Behavioral and Social Sciences Research.

This workshop will present the main components of data analysis usiing modern computational tools. Hands-on exercises will allow participants to apply the analytic techniques and computational methods covered during the workshop and to become familiar with the statistical software environment. Participants who have their own data sets will have the opportunity to apply the techniques learned in the course and to receive feedback on their results.

Course Contents
– Exploratory data analysis, descriptive statistics, and predictive data analysis with an emphasis on understanding of the data set
– Data wrangling, including importing, conversions, transformations, and quality control
– Methods of reporting and visualization with an emphasis on best practices for accurately communicating results
– Statistical software use to assist in analysis of real world data, including population and economic data, and/or participant-provided data

Audience and Prerequisites
This introductory workshop is designed to meet the needs of participants involved in national programs that regularly consume and report on data gathered from a variety of sources. No previous experience applying data analytics or using statistical software packages is required. Good computer skills are preferred.

Date: June 12 – 16, 2017
Place: U.S. Census Bureau Headquarters, Suitland, Maryland (near Washington, D.C.)
Tuition: US $2,500

Apply early. The workshop will be limited to 15 participants. Those who complete the application requirements will be accepted on a first-come, first-served basis. For more information e-mail

Co-hosted by the National Institutes of Health (NIH) and AcademyHealth, this annual conference bridges the gap between evidence, practice, and policy in health and health care. The 2017 conference will focus the challenges and opportunities in making large-scale gains in health at a population level, including the application of evidence-based interventions to diverse contexts and populations.

This call is for one-page abstracts for paper presentations at a Feb 23, 2018 workshop of about 30 invited participants to be held at USC. The workshop, “Adult Mortality Determinants in Low and Middle Income Countries and Comparisons with High Income Countries,” is designed to share leading research methods and findings on comparative patterns of adult mortality risk factors in low- and middle-income countries (LMIC). The goal is to build a robust evidence base for understanding the drivers of cross-national mortality and health expectancy patterns, especially in populations with unusually high or low adult mortality. The newly expanded availability of longitudinal HRS-type surveys in LMIC make this an opportune time to gather a network of researchers using such data to study mortality patterns, in order to share innovative methods, new results, and ideas for the most promising research agenda going forward.

We solicit abstracts for papers using longitudinal data from one or more LMIC, particularly from harmonized HRS family studies in China (CHARLS), Costa Rica (CRELES), Ghana (SAGE), Korea (KLOSA), Indonesia (IFLS), Mexico (MHAS), and South Africa (SAGE). We also encourage use of other LMIC micro-data with mortality follow-ups, e.g. from Taiwan (SEBAS), China (CLHLS), South Africa (HAALSI), and elsewhere, as well as comparisons with data from higher income countries such as the US (HRS), Japan (JSTAR or NUJLSOA), England (ELSA), and Europe (SHARE).

For data sources, see link to the Global Aging Data website below.

Abstracts must be submitted by November 15, 2017 to and For inquiries about topical areas please contact Will Dow and Eileen Crimmins

The sponsors will cover hotel accommodations and meals during the workshop. Participants should be prepared to bear other costs associated with travel to the conference.

For further information, contact Jung Ki Kim at USC: