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.
Research libraries continue to reinvent themselves in the face of increasing demand from users for digitized texts. As physical books move from stacks to deep storage, many researchers lament the reduction in the serendipitous discovery that was provided by browsing the stacks. We believe, however, that digitization offers even greater opportunities for guided serendipity. Developments in machine learning and computing at scale allow content-based models of library collections to be made accessible to patrons. In this talk, we will present a vision for the future of library browsing using the Topic Explorer ‰ÛÃHypershelf‰Û that we have developed for digital collections. It allows users to jump into the collection and browse nearby volumes, rearranging them at will according to topics extracted computationally from the full texts. We will demonstrate the Hypershelf in action, and discuss how it might be integrated with physically-shelved books. This vision enhances rather than supplants the traditional librarians' function of guiding patrons to the best starting points for their research needs.
Supercomputers are designed to use a command line interface and batch processing system. This means users accustomed to modern graphical interfaces must overcome a steep learning curve when switching to supercomputers. Learn how UITS Research Technologies is tackling this problem using a new graphical interface for the Karst supercomputer. Participants will have the opportunity to test the service after the presentation on their laptop/desktop devices.
Abhinav Thota is a Principal Engineer in the Research Technologies division of UITS/PTI. He is part of the Scientific Applications and Performance Tuning (SciAPT) team and helps users efficiently use HPC resources at IU.
This workshop will provide an overview of human subjects research and submitting an application through the KC IRB system. Representatives from the IU Human Subjects Office will provide a brief introduction to human subjects research, then focus the remaining time on learning how to navigate the IU IRB process.
Sara Benken is an Associate Director in the IU Human Subjects Office. Adam Mills and Andrew Neel are Research Compliance Associates in the IU Human Subjects Office.
Python is a widely used, general purpose programming language. This workshop will introduce the basic elements of Python that are commonly used for data cleaning, analysis, visualization, and other applications. Participants will also learn how to set up a "development environment" for Python on their personal computer. Computers with Python pre-loaded are also available in the SSRC on a first-come, first-served basis. This workshop is intended for social scientists who are new to programming. No experience is required.
Web scraping is a method of extracting and restructuring information from web pages. This workshop will introduce basic techniques for web scraping using the popular Python libraries BeautifulSoup and Requests. Participants will practice accessing websites, parsing information, and storing data in a CSV file. This workshop is intended for social scientists who are new to web scraping but have some familiarity with Python or have attended the Intro to Python workshop.
Web scraping is a method of extracting and restructuring information from web pages. This workshop will introduce basic techniques for web scraping using popular open-source tools. The first part of the workshop will provide an overview of basic HTML elements and Python tools for developing a custom web scraper. The second part will enable participants to practice accessing websites, parsing information, and storing data in a CSV file. This workshop is intended for social scientists who are new to web scraping. No programming experience is required, but basic familiarity with HTML and Python is helpful.
NaLette Brodnax is a data scientist and fourth-year doctoral student in the Joint Public Policy program administered by the School of Public and Environmental Affairs and the Department of Political Science at Indiana University. Her research interests include education policy, policy analysis and program evaluation, and quantitative research methodology. As a graduate assistant for the Center of Excellence for Women in Technology, she is working on a number of projects intended to expose women to technology and to support women using technology in their studies and careers. Prior to entering the doctoral program, NaLette spent nine years in corporate finance roles, managing large data sets and developing financial models for large companies such as Abbott Laboratories and Nokia. She holds a BSBA from The Ohio State University with a concentration in Finance and a Master's in Public Policy from Loyola University Chicago.
Fasone, Leslie, Holbrook, Patrick, Shanahan, James
Summary:
This week on Through the Gates, Media School Dean Jim Shanahan talks with Leslie Fasone and Patrick Holbrook about their work on the Culture of Care initiative. Culture of Care is led by students and supported by faculty. It's designed to get IU students to care for one another in four main areas: sexual well-being, drug and alcohol awareness, mental health, and respect.