Could not complete log in. Possible causes and solutions are:
Cookies are not set, which might happen if you've never visited this website before.
Please open https://media.dlib.indiana.edu/ in a new window, then come back and refresh this page.
An ad blocker is preventing successful login.
Please disable ad blockers for this site then refresh this page.
This brown bag session will present the Libraries' most recent online Omeka exhibition of World War II propaganda films which went live on June 6th, the 70th anniversary of D-Day.
The IULMIA (Indiana University Libraries Moving Image Archive) staff will present the conceptual idea behind the exhibit, the steps taken to select and digitize the content, working with the Library Technology staff and the process of building the online exhibit.
Whom to marry? How to invest? Whom to trust? Complex problems require complex solutions – so we might think. And if the solution doesn’t work, we make it more complex. That recipe is perfect for a world of known risks, but not for an uncertain world, as the failure of the complex forecasting methods leading to the 2008 financial crisis illustrates. In order to reduce estimation error, good inferences under uncertainty counter-intuitively require ignoring part of the available information,. Less can be more. Yet although we face high degrees of uncertainty on a daily basis, most of economics and cognitive science deals exclusively with lotteries and similar situations in which all risks are perfectly known or can be easily estimated. In this talk, I invite you to explore the land of uncertainty, where mathematical probability is of limited value and people rely instead on simple heuristics, that is, on rules of thumb. We meet Homo heuristicus, who has been disparaged by many psychologists as irrational for ignoring information—unlike the more diligent Homo economicus. In an uncertain world, however, simple heuristics can be a smart tool and lead to even better decisions than with what are considered rational strategies. The study of heuristics has three goals. The first is descriptive: to analyze the heuristics in the “adaptive toolbox” of an individual or an institution. The second goal is normative: to identify the ecological rationality of a given heuristic, that is, the structures of environments in which it succeeds and fails. The third goal is engineering: to design intuitive heuristics such as fast-and-frugal trees that help physicians make better decisions.
Logistic regression is a commonly used type of analysis in the social sciences and other fields in which the outcome of interest is dichotomous. This workshop takes a hands-on approach to utilizing Stata’s logit command. I will provide a brief overview of logistic regression, discuss Stata’s commands (as well as additional post-estimation commands), explain how to interpret the output, and then lead participants in a data analysis example using Stata via IUanyWare. Computers are provided for participants.
The first mode of access by the community of digital humanities and informatics researchers and educators to the copyrighted content of the HathiTrust digital repository will be to extracted statistical and aggregated information about the copyrighted texts. But can the HathiTrust Research Center support scientific research that allows a researcher to carry out their own analysis and extract their own information?
This question is the focus of a 3-year, $606,000 grant from the Alfred P. Sloan Foundation (Plale, Prakash 2011-2014), which has resulted in a novel experimental framework that permits analytical investigation of a corpus but prohibits data from leaving the capsule. The HTRC Data Capsule is both a system architecture and set of policies that enable computational investigation over the protected content of the HT digital repository that is carried out and controlled directly by a researcher. It leverages the foundational security principles of the Data Capsules of A. Prakash of University of Michigan, which allows privileged access to sensitive data while also restricting the channels through which that data can be released.
Ongoing work extends the HTRC Data Capsule to give researchers more compute power at their fingertips. The new thrust, HT-DC Cloud, extends existing security guarantees and features to allow researchers to carry out compute-heavy tasks, like LDA topic modeling, on large-scale compute resources.
HTRC Data Capsule works by giving a researcher their own virtual machine that runs within the HTRC domain. The researcher can configure the VM as they would their own desktop with their own tools. After they are done, the VM switches into a "secure" mode, where network and other data channels are restricted in exchange for access to the data being protected. Results are emailed to the user.
In this talk we discuss the motivations for the HTRC Data Capsule, its successes and challenges. HTRC Data Capsule runs at Indiana University.
See more at http://d2i.indiana.edu/non-consumptive-research
