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Social and Behavioral Sciences Commons™
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Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
The Economic Opportunity Mapping (Eom) Tool, Craig W. Carpenter, Anders Van Sandt, Rebekka Dudensing, Scott Loveridge, Linda S. Niehm
The Economic Opportunity Mapping (Eom) Tool, Craig W. Carpenter, Anders Van Sandt, Rebekka Dudensing, Scott Loveridge, Linda S. Niehm
The Journal of Extension
Extension professionals increasingly understand data as integral to economic development planning and related efforts. However, regional economic data is often inaccurate, expensive, and unengaging for stakeholders. The Economic Opportunity Mapping Tool provides industry-specific free online interactive maps to engage stakeholders in the process of economic development planning, while also helping connect the determinants of business location with real local data on industry establishments.
Data, Competition, And Digital Platforms, Dirk Bergemann, Alessandro Bonatti
Data, Competition, And Digital Platforms, Dirk Bergemann, Alessandro Bonatti
Cowles Foundation Discussion Papers
We propose a model of intermediated digital markets where data and heterogeneity in tastes and products are deÖning features. A monopolist platform uses superior data to match consumers and multiproduct advertisers. Consumers have heterogenous preferences for the advertisers' product lines and shop on- or o§-platform. The platform monetizes its data by selling targeted advertising space that allows advertisers to tailor their products to each consumer's preferences. We derive the equilibrium product lines and advertising prices. We identify search costs and informational advantages as two sources of the platform's bargaining power. We show that privacy-enhancing data-governance rules, such as those corresponding …
The 2021 Nba Rule Change: Analyzing Strategic Adjustments And Changes In Worker Productivity, Jeremy Long
The 2021 Nba Rule Change: Analyzing Strategic Adjustments And Changes In Worker Productivity, Jeremy Long
All Theses
The NBA introduced a rule change for the 2021/22 season to stop shooters from drawing fouls from “non-basketball moves.” This paper seeks to determine how the 2021 Rule Change has impacted productivity in the NBA and investigate whether it has caused teams to make strategic adjustments. My analysis reveals evidence that the rule change has limited offensive players’ abilities to draw fouls on 3- point shots. While the rule change has rendered non-basketball moves ineffective, there is no evidence of strategic adjustments beyond this arena. I find only limited evidence that the rule change has impacted worker productivity. The findings …
Too Much Of A Good Thing? A Governing Knowledge Commons Review Of Abundance In Context, Michael J. Madison, Brett M. Frischmann, Madelyn Sanfilippo, Katherine J. Strandburg
Too Much Of A Good Thing? A Governing Knowledge Commons Review Of Abundance In Context, Michael J. Madison, Brett M. Frischmann, Madelyn Sanfilippo, Katherine J. Strandburg
Articles
The economics of abundance, along with the sociology of abundance, the law of abundance, and so forth, should be re-framed, linked, and situated in a common context for empirical rather than conceptual research. Abundance may seem to be a new, big thing, between anxiety over information overload, Big Data, and related technological disruptions. But scholars know that abundance is an ancient phenomenon, which only seemed to disappear as twentieth century social science focused on scarcity instead. Restoring the study of abundance, and figuring out how to solve the problems that abundance might create, means shedding disciplinary blinders and going back …
The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
The Role Of Data For Ai Startup Growth, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Faculty Scholarship
Artificial intelligence (“AI”)-enabled products are expected to drive economic growth. Training data are important for firms developing AI-enabled products; without training data, firms cannot develop or refine their algorithms. This is particularly the case for AI startups developing new algorithms and products. However, there is no consensus in the literature on which aspects of training data are most important. Using unique survey data of AI startups, we find that startups with access to proprietary training data are more likely to acquire venture capital funding.
Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Ethical Ai Development: Evidence From Ai Startups, James Bessen, Stephen Michael Impink, Lydia Reichensperger, Robert Seamans
Faculty Scholarship
Artificial Intelligence startups use training data as direct inputs in product development. These firms must balance numerous trade-offs between ethical issues and data access without substantive guidance from regulators or existing judicial precedence. We survey these startups to determine what actions they have taken to address these ethical issues and the consequences of those actions. We find that 58% of these startups have established a set of AI principles. Startups with data-sharing relationships with high-technology firms; that were impacted by privacy regulations; or with prior (non-seed) funding from institutional investors are more likely to establish ethical AI principles. Lastly, startups …