Behavioral science, social science, and public health in the 21st century.

2001 ◽  
pp. 3-28 ◽  
Author(s):  
Neil Schneiderman ◽  
Marjorie A. Speers
Keyword(s):  
Public Health ◽  
Social Science ◽  
21St Century ◽  
Behavioral Science

Millennials as Emerging Adults

2018 ◽  
Author(s):  
Barbara J. Risman
Keyword(s):  
Social Science ◽  
Emerging Adulthood ◽  
Human Development ◽  
Emerging Adults ◽  
21St Century ◽  
Millennial Generation ◽  
Historical Context ◽  
Growing Up ◽  
Traditional Beliefs ◽  
Gender Revolution

This chapter begins by providing a historical context for the Millennial generation. Growing up is different in the 21st century than before; it takes much longer. Given how many years youth take to explore their identities before they emerge into adulthood with stable jobs and committed partners, the chapter reviews what we now about “emerging adulthood” as a stage of human development. The chapter also highlights a debate in social science as to whether Millennials are entitled narcissists or a new civically engaged generation that will re-energize America. The chapter concludes with an overview of another debate, whether Millennials are pushing the gender revolution forward or returning to more traditional beliefs.

scholarly journals Advancing precision public health using human genomics: examples from the field and future research opportunities

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Megan C. Roberts ◽  
Alison E. Fohner ◽  
Latrice Landry ◽  
Dana Lee Olstad ◽  
Amelia K. Smit ◽  
...  
Keyword(s):  
Public Health ◽  
Precision Medicine ◽  
Behavioral Science ◽  
Public Health Research ◽  
Future Research ◽  
Human Genomics ◽  
Precision Public Health ◽  
Genomics Research ◽  
Health Initiatives ◽  
Public Health Initiatives

AbstractPrecision public health is a relatively new field that integrates components of precision medicine, such as human genomics research, with public health concepts to help improve population health. Despite interest in advancing precision public health initiatives using human genomics research, current and future opportunities in this emerging field remain largely undescribed. To that end, we provide examples of promising opportunities and current applications of genomics research within precision public health and outline future directions within five major domains of public health: biostatistics, environmental health, epidemiology, health policy and health services, and social and behavioral science. To further extend applications of genomics within precision public health research, three key cross-cutting challenges will need to be addressed: developing policies that implement precision public health initiatives at multiple levels, improving data integration and developing more rigorous methodologies, and incorporating initiatives that address health equity. Realizing the potential to better integrate human genomics within precision public health will require transdisciplinary efforts that leverage the strengths of both precision medicine and public health.

scholarly journals Climate-related migration and population health: social science-oriented dynamic simulation model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rafael Reuveny
Keyword(s):  
Public Health ◽  
Social Science ◽  
Simulation Model ◽  
Environmental Health ◽  
Dynamic Simulation ◽  
Health Problems ◽  
Ecological Impacts ◽  
Sensitivity Analyses ◽  
Pilot Model ◽  
Dynamic Simulation Model

Abstract Background Social science models find the ecological impacts of climate change (EICC) contribute to internal migration in developing countries and, less so, international migration. Projections expect massive climate-related migration in this century. Nascent research calls to study health, migration, population, and armed conflict potential together, accounting for EICC and other factors. System science offers a way: develop a dynamic simulation model (DSM). We aim to validate the feasibility and usefulness of a pilot DSM intended to serve as a proof-of-concept and a basis for identifying model extensions to make it less simplified and more realistic. Methods Studies have separately examined essential parts. Our DSM integrates their results and computes composites of health problems (HP), health care (HC), non-EICC environmental health problems (EP), and environmental health services (ES) by origin site and by immigrants and natives in a destination site, and conflict risk and intensity per area. The exogenous variables include composites of EICC, sociopolitical, economic, and other factors. We simulate the model for synthetic input values and conduct sensitivity analyses. Results The simulation results refer to generic origin and destination sites anywhere on Earth. The effects’ sizes are likely inaccurate from a real-world view, as our input values are synthetic. Their signs and dynamics are plausible, internally consistent, and, like the sizes, respond logically in sensitivity analyses. Climate migration may harm public health in a host area even with perfect HC/ES qualities and full access; and no HP spillovers across groups, conflict, EICC, and EP. Deviations from these conditions may worsen everyone’s health. We consider adaptation options. Conclusions This work shows we can start developing DSMs to understand climate migration and public health by examining each case with its own inputs. Validation of our pilot model suggests we can use it as intended. We lay a path to making it more realistic for policy analysis.

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