Behavioral Science and Decision Making in Context

Sponsor: Russell Sage Foundation (RSF)
Solicitation Title: Behavioral Science and Decision Making in Context
Funding Amount: See Other Information
Sponsor Deadline: Wednesday, July 26, 2023
Solicitation Link: https://www.russellsage.org/research/funding/behavioral-science-decision-making

Overview

The Russell Sage Foundation’s (RSF) core program on Behavioral Science and Decision Making in Context merges its long-standing program on Behavioral Economics and its special initiative on Decision Making and Human Behavior in Context. This program encourages perspectives from multiple disciplines, including economics, psychology, political science, sociology, law, public policy, and other social sciences, to further our understanding of economic, social, political, and psychological decision-making processes, attitudes, behaviors, and institutional practices in public and private contexts such as policing/criminal legal systems, employment, housing, politics, racial/ethnic relations, and immigration.

The term “behavior” is used in multiple ways across disciplines. Behavioral observation has long been used for psychological research on human behavior. Experimental psychologists conduct field and/or laboratory experiments to learn more about why people take certain actions. Behavioral economists focus on the decision-making processes of individuals and institutions. In political science, the subfield of political behavior focuses on attitudes. Sociologists study how human behavior is shaped by the groups to which people belong and by the social interactions that occur within those groups. Social scientists across these areas are increasingly proposing interventions in ongoing policies and programs to test the effectiveness of their theories and models. The foundation seeks applications from all of these perspectives regarding how they affect individual, group, and institutional behaviors and social structures.  

Research in this area is expanding rapidly. RSF is open to a range of questions consistent with its mission to “improve social and living conditions in the United States” and the funding priorities of its other core programs on Social, Political and Economic Inequality, Race, Ethnicity and Immigration, and Future of Work.

The kinds of topics and questions that are of interest include, but are not limited to, the following:

Biases and Misperceptions

An important contribution of behavioral science has been to analyze the extent to which biases (racial/ethnic, skin color, socioeconomic status, immigration status, political, etc.) affect attitudes and behaviors. RSF is interested in research examining the extent to which implicit and explicit biases and misperceptions affect attitudes and behaviors in employment, criminal, judicial, political, educational, and other settings, and the consequences of these actions.

Institutions, Policies, Social Structures and Networks

Institutional actors may hold implicit and explicit biases and misperceptions, which may be reflected and maintained through  institutional policies and practices. In this way, systemic racism can be embedded through laws and regulations within society or an organization. It can contribute to discrimination in criminal justice, employment, housing, political power, and educational attainment, among other issues. Similarly, decisions are made not in isolation, but within social structures and within the context of social networks. Networks can influence how many decisions are made in the context of voting, job search, college enrollment, and other behaviors relevant to social and economic mobility, poverty, and inequality. RSF is interested in research examining the extent to which and how institutions, policies, social structures, and networks affect attitudes and behavior.

Motivations, Incentives and Choice Architecture

Individuals respond to incentives, and to a broad array of social, political, psychological, economic, and cultural motivations. Moreover, the ways in which options are presented to individuals (Choice Architecture) can impact their behavior. RSF is interested in research on the consequences of choice architecture and motivated behavior for social, economic, and political inequalities. 

Habits, Time Preferences, Mental Bandwidth and Behavior Change

Many human behaviors are not openly motivated, in the sense that they are habitual, intuitive, taken-for-granted, or otherwise not reflective. Time preferences and burdens on mental bandwidth (e.g., due to poverty or other forms of scarcity) shape behaviors, both consciously and subconsciously. RSF is interested in research examining how consequential habits are formed and changed, and the extent to which habits, mental burdens and preferences affect social, economic, and political attitudes and behaviors.

Affect and Emotions

Emotions can shape attitudes and behaviors both consciously and subconsciously. RSF is interested in supporting research that examines the extent to which emotions influence social, economic, legal, and political attitudes and behaviors.

Solicitation Limitations:

Letter of Inquiry is required. 

RSF seldom supports studies focused on educational processes or curricular issues but does prioritize analyses of inequities in educational attainment or student performance. 

RSF does not fund studies using data from other countries unless they are part of a comparative project aimed at elucidating social and living conditions in the U.S.

Other Information:

Trustee Grants are generally capped at $200,000. Presidential Grants are capped at $50,000, but PIs may request up to $75,000 when the proposed research project has special needs for gathering data (e.g., qualitative research) or gaining access to restricted-use data, or when the proposal budget includes salary support for multiple assistant professor PIs.

A brief letter of inquiry (LOI; 4 pages max. excluding references) must precede a full proposal to determine whether the proposed project is in line with the Foundation's program priorities and available funds.


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RODA ID: 2030