Tree Diversity and Soil Biology: A New Research Program in French Guyana

Author(s):  
Jacques Roy ◽  
Stephan Hättenschwiler ◽  
Anne-Marie Domenach
Author(s):  
Dong Jung Kim

Abstract In contrast to growing public attention to geoeconomics as the new mode of conducting great power competition, the IR discipline has not actively engaged in conceptual and theoretical analysis from the geoeconomic viewpoint. This article examines issues that geoeconomics needs to solve to become a new theoretical framework in the positivist “American” IR scholarship that dominates research on great power competition. On the one hand, the concept of geoeconomics needs to be redefined and account for a phenomenon that is not already covered in extant IR scholarship. Thus, geoeconomics should be considered as a form of grand strategy and defined as the use of economic instruments to advance mid- to long-term strategic interests in a geographical region of the world. On the other hand, geoeconomics in positivist IR should take into account international economic structure and domestic politics in developing a parsimonious explanation for the conditions to employ geoeconomic grand strategy. In this process, the theorist needs to make an analytical choice to concentrate on certain factors and mechanisms to assure theoretical parsimony. This article concludes that addressing the issues of conceptual clarity and parsimonious theorization would potentially allow geoeconomics to become a new research program in positivist IR.


1999 ◽  
Vol 20 (1) ◽  
pp. 5-26
Author(s):  
Henk Flap

A recent theoretical development within the social sciences has been the emergence of the social capital research program. This is a program on relational resources, their creation, use. and effects. It took shape first within sociology and anthropology, nowadays it is also growing in popularity within political sciences and economics.


2007 ◽  
Vol 68 (1) ◽  
pp. 3-35 ◽  
Author(s):  
Terrence W. Tilley

2021 ◽  
Author(s):  
Bob McCulloch

To demonstrate the value of research and its implementation, the Governor’s Office requested an annual financial analysis of the INDOT Research Program to determine the return on the research investment (ROI). The current financial analysis is for research projects that completed in FY 2020. Analyses on previous year’s projects is necessary primarily due to the time it takes some project outcomes to be implemented, extending into the following year. Therefore, the FY 2020 analysis is completed in calendar 2021. The ROI analysis will supplement the annual IMPACT report by adding a more rigorous quantitative benefit cost analysis (BCA) to the Research Program. Previous financial analyses used the approach of calculating net present values of cash flows to determine a benefit cost ratio and this report uses the same approach. Additionally, an overall program rate of return (ROI) is reported and will be accumulated over time into a rolling 5-year average. While the quantitative benefit cost analysis (BCA) was rigorous, results are limited to projects where benefits and costs could be quantified, where data is available to perform a quantitative analysis. Qualitative benefits are highlighted in the companion annual IMPACT report (https://www.in.gov/indot/files/Research-Program-Impact-Report.pdf ). In 2018, INDOT unveiled its new Strategic Plan. The Strategic Plan guides the priority research needs of the Research Program and in turn the research results support accomplishing the INDOT Strategic Plan, Strategic Objectives. A new Strategic Objective has been added to the INDOT Strategic Plan addressing Innovation & Technology. Additionally, INDOT created a new Office of Innovation. While the Research Program supports all of INDOT’s Strategic Objectives, these new initiatives have further highlighted the importance of research and its role in achieving the Strategic Objectives outlined in the new INDOT Strategic Plan. There has been more emphasis of new research needs related to new technology changes and transformational technologies. This will help position INDOT for future growth, adoption of new technologies and partnering opportunities. These new research projects will provide large qualitative ROI, however are difficult to quantify due to their complexity and newness.


2015 ◽  
Vol 1 (4) ◽  
Author(s):  
Gregory Chaitin

Computer models can show us that mathematics has infinite conceptual complexity, but any mathematical theory is finite. What about biology? Can we think of DNA as a programming language and evolution as programming without a programmer? Gregory Chaitin proposes a new research program, applying software models to biology.


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