scholarly journals Uncomfortable Decisions

2022 ◽  
Author(s):  
Paul Bloom ◽  
Laurie Paul

Some decision-making processes are uncomfortable. Many of us do not like to make significant decisions, such as whether to have a child, solely based on social science research. We do not like to choose randomly, even in cases where flipping a coin is plainly the wisest choice. We are often reluctant to defer to another person, even if we believe that the other person is wiser, and have similar reservations about appealing to powerful algorithms. And, while we are comfortable with considering and weighing different options, there is something strange about deciding solely on a purely algorithmic process, even one that takes place in our own heads.What is the source of our discomfort? We do not present a decisive theory here—and, indeed, the authors have clashing views over some of these issues—but we lay out the arguments for two (consistent) explanations. The first is that such impersonal decision-making processes are felt to be a threat to our autonomy. In all of the examples above, it is not you who is making the decision, it is someone or something else. This is to be contrasted with personal decision-making, where, to put it colloquially, you “own” your decision, though of course you may be informed by social science data, recommendations of others, and so on. A second possibility is that such impersonal decision-making processes are not seen as authentic, where authentic decision making is one in which you intentionally and knowledgably choose an option in a way that is “true to yourself.” Such decision making can be particularly important in contexts where one is making a life-changing decision of great import, such as the choice to emigrate, start a family, or embark on a major career change.

Author(s):  
Guy C. Warner ◽  
Jesse M. Blum ◽  
Simon B. Jones ◽  
Paul S. Lambert ◽  
Kenneth J. Turner ◽  
...  

The last two decades have seen substantially increased potential for quantitative social science research. This has been made possible by the significant expansion of publicly available social science datasets, the development of new analytical methodologies, such as microsimulation, and increases in computing power. These rich resources do, however, bring with them substantial challenges associated with organizing and using data. These processes are often referred to as ‘data management’. The Data Management through e-Social Science (DAMES) project is working to support activities of data management for social science research. This paper describes the DAMES infrastructure, focusing on the data-fusion process that is central to the project approach. It covers: the background and requirements for provision of resources by DAMES; the use of grid technologies to provide easy-to-use tools and user front-ends for several common social science data-management tasks such as data fusion; the approach taken to solve problems related to data resources and metadata relevant to social science applications; and the implementation of the architecture that has been designed to achieve this infrastructure.


1982 ◽  
Vol 11 (3) ◽  
pp. 307
Author(s):  
James D. Cowhig ◽  
Carol H. Weiss ◽  
Michael J. Bucuvalas

Author(s):  
Arabi U.

As data mining is the process of discovering significant, valuable, and interesting relationships in large and complex volumes of data (especially in data-enriched areas of socio-economic domains and in this socio-economic aspect of a society), data mining applications essentially act as effective instruments for providing support for measuring socio-economic pattern in a society. Although social and ethical matters are nowadays concerns to the society of which people are the only elements, in the days of technology innovations, computers are being manipulated with programs to act more like people, and eventually several social and ethical matters come into focus related to computer programming, or artificial intelligence. Researchers from nearly every social science discipline have found themselves in the position of simultaneously evaluating many questions, testing many hypotheses, or comparing many point estimates. In program evaluation, this arises, for instance, when comparing the impact of several different policy interventions; comparing the status of social indicators like test scores, poverty rates, teen pregnancy rates etc. across multiple schools, states, or countries; examining whether treatment effects vary meaningfully across different sub groups of the population; or examining the impact of a program on many different outcomes. Hence, the relevance of positioning of this chapter in a book of ethical data mining applications for socio-economic development of a community, society, or country fits well as the ethical data mining in social science research is crucial as such data information is highly useful in testing many of the hypotheses of economic or socio-economic in nature.


2020 ◽  
Vol 101 (7) ◽  
pp. E1225-E1240
Author(s):  
Christopher Nunley ◽  
Kathleen Sherman-Morris

Abstract Recent social science research has provided a better understanding of risk communication and decision-making. However, less is understood about the public’s actual weather knowledge, how they assess their weather knowledge, and how knowledge may relate to weather forecast information use. The objective of this study was to gain a better understanding of self-perceived and assessed weather knowledge of participants. Psychology literature indicates some people are prone to overestimating their knowledge, which is known as the Dunning–Kruger effect (DKE), but this has yet to be studied in a meteorological context. This study compared participants’ assessed weather knowledge with their self-perceived weather knowledge, and results indicate participants with the lowest assessed weather knowledge do overestimate their weather knowledge, a result consistent with previous psychological studies. Participants who obtained a weather forecast more frequently exhibited higher perceived and assessed weather knowledge. Higher perceived and assessed weather knowledge was also observed among users of a specialty weather website compared to a more general audience. The study raises interesting questions about how users of different weather sources acquire or (add to) their weather knowledge and is the first study to explore DKE in the context of weather communication.


1992 ◽  
Vol 1 (1) ◽  
pp. 23-40 ◽  
Author(s):  
Bruce Sales ◽  
Rachel Manber ◽  
Linda Rohman

Social Forces ◽  
1982 ◽  
Vol 60 (3) ◽  
pp. 919
Author(s):  
George H. Conklin ◽  
Carol H. Weiss ◽  
Michael J. Bucuvalas

Sign in / Sign up

Export Citation Format

Share Document