Computational Social Science for Nonprofit Studies: Developing a Toolbox and Knowledge Base for the Field

Ma, Ji; Ebeid, Islam Akef; Wit, A. de; Xu, Meiying; Yang, Yongzheng; Bekkers, René; Wiepking, Pamala

doi:10.1007/s11266-021-00414-x

Cited by 13 publications

(17 citation statements)

References 80 publications

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“…Big data and the accompanying data-driven methodologies have begun to enter philanthropic studies, partly thanks to the opportunities offered by SMU DataArts, Candid and the IRS e-file 990 dataset (Ma et al, 2021). For example, researchers have leveraged the IRS 990 e-file dataset to identify organizational activities based on mission statements, enabling research on institutions that share a particular focus or characteristic (Ma, 2021;Santamarina, Lecy, & van Holm, 2021).…”

Section: Prior Workmentioning

confidence: 99%

Philanthropy in Art: Locality, Donor Retention, and Prestige

Shekhtman¹,

Barabási²

2022

Preprint

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A considerable portion of the funds in art come from foundations, representing a key revenue stream for many art organizations. Here we use the IRS e-file dataset to identify $36B in grants from 46,643 foundations to 48,766 art recipients between 2010-2019. We find that philanthropic giving is broadly distributed, indicating that some institutions give or receive considerably more than others. Giving is highly localized, with 60% of grants and funds going in the same state as the donor. Furthermore, donors often support multiple local art organizations that offer distinct experiences, rather than advancing a particular subarea within art. Donor retention is strong with nearly 70% of relationships continuing the next year. Finally, we explored the role of institutional prestige in foundation giving, finding that while funding generally correlates with prestige, exceptions exist. Our results present the largest and most comprehensive data-driven exploration of giving by foundations to art to date.

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Section: Prior Workmentioning

confidence: 99%

Philanthropy in Art: Locality, Donor Retention, and Prestige

Shekhtman¹,

Barabási²

2022

Preprint

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“…If we recode the ratings as binary, the kappa score increases to 1 (i.e., perfect agreement). The application of computational social science methods is relatively new and fast-evolving (Ma et al, 2021) and more empirical studies are needed to firmly support the validity of these novel methods.…”

Section: Measuring Funding Resourcementioning

confidence: 99%

How Does an Authoritarian State Co-opt Its Social Scientists Studying Civil Society?

2022

Voluntas

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What channels can an authoritarian state employ to steer social science research towards topics preferred by the regime? I researched the Chinese coauthor network of civil society studies, examining 14,088 researchers and their peer-reviewed journal articles published between 1998 and 2018. Models with individual and time fixed-effects reveal that scholars at the center of the network closely follow the narratives of the state’s policy plans and could serve as effective state agents. However, those academics who connect different intellectual communities tend to pursue novel ideas deviating from the official narratives. Funding is an ineffective direct means for co-opting individual scholars, possibly because it is routed through institutions. Combining these findings, this study proposes a preliminary formation of authoritarian knowledge regime that consists of (1) the state’s official narrative, (2) institutionalized state sponsorship, (3) co-opted intellectuals centrally embedded in scholarly networks, and (4) intellectual brokers as sources of novel ideas.

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“…The development of computational social science harbors a wealth of opportunities for research on philanthropy (Ma et al, 2021). Computational social science analyzes "Big Data" that were not designed for research by those who created the data.…”

Section: Technologymentioning

confidence: 99%

The State of Research on Philanthropy in Europe in 2022

Bekkers

2022

Preprint

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In Europe, philanthropy is increasingly recognized as an important societal force. Yet the contribution of philanthropic actors to the improvement of society and the well-being of citizens remains unclear. Scientific research on philanthropy – an indispensable tool to measure and accelerate social progress in Europe – is still in an early stage of development. Europe has capable scholars who are very interested in studying philanthropy. Some 250 scholars interested in philanthropy from almost all countries in Europe have united in the European Research Network on Philanthropy (ERNOP). Challenges for the network are the lack of comprehensive and reliable data on philanthropy, and funding limitations for researchers at academic institutions to spend time on research. This memo provides an agenda for research on philanthropy in Europe, describes areas of interest to members of the network, and opportunities for collaboration between academics and philanthropy practice.

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Computational Social Science for Nonprofit Studies: Developing a Toolbox and Knowledge Base for the Field

Cited by 13 publications

References 80 publications

Philanthropy in Art: Locality, Donor Retention, and Prestige

Philanthropy in Art: Locality, Donor Retention, and Prestige

How Does an Authoritarian State Co-opt Its Social Scientists Studying Civil Society?

The State of Research on Philanthropy in Europe in 2022

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