Past Events
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Jan 14
Future of Survey Research Conference
The Future of Survey Research Conference will convene an interdisciplinary group of researchers from a wide range of academic fields and industries to discuss innovations in social, behavioral, and health surveys. Via a virtual platform, it will foster deliberation centered on renewing and augmenting the extensive survey infrastructure the U.S. has developed over the past half century. It will focus on mapping out potential directions for moving survey research toward the future by brainstorming ideas for cutting-edge substantive and methodological innovations, with the objective of maximizing the potential of survey research and survey data to serve science, governments, and industry.
Nov 10SSRI~ Workshop: Community-Partnered and Community-Engaged Research
Engaging and partnering with community members and entities in research, sometimes in the form of research practice partnership (RPP), can be a powerful mechanism for fostering social change and ensuring that research is appropriately situated within context. This session will focus on what these and related concepts mean, the ways in which they can be relevant and meaningful for both researchers and community entities, core challenges encountered, and recommendations for enacting these principles in practice. Please click "More Event Information" (box below) to register.
Oct 31Duke Datathon
At this year's Datathon, you can attack an important question using datasets, analysis, and visualization - all in a 24 hour timespan! Near the end of the event, teams will create a presentation, to be evaluated by an esteemed panel of judges. Each project will be evaluated on design, creativity, technicality, and pitch. Top analyses, visualizations, and approaches will win awards and prizes! More information is at dukeml.org/datathon. There will also be numerous opportunities to get help from subject matter experts and to interact with sponsors for internship and full-time job opportunities! You can work in a team of up to four students, tackle the competition solo, or find a team in our team-building event! Not an expert in Data Science? No worries! During the Datathon, we will have workshops to sharpen your data skills, and mentors at Datathon to help you along the way. Sign up at dukeml.org/register, and contact us at hello@dukeml.org if you have any questions.
Oct 30Data Dialogue with Astrid Giugni "What Counts as Evidence: Literature and Data+"
What Counts as Evidence: Literature and Data+ What is evidence in literature studies? While this question has been posed in a number of guises for as long as the study of literature has been an academic field, it has become newly contentious as the application of computational methodologies has gained wider traction in the humanities. In this talk, we will consider the types of claims that can be addressed with quantitative methods in the study of literature with a particular focus on premodern literature. In particular, we will consider how qualitative and quantitative approaches can help literary scholars approach conceptual and historical question at different scales of inquiry. To attend, please register for the talk here: https://duke.zoom.us/j/99656192363
Oct 23Data Dialogue with Otis Jennings, Rhodes iiD Executive in Residence
To join, please register here: https://duke.zoom.us/j/97948978975 Otis Jennings will discuss his data journey, which started in academia; ventured to nonprofits, corporate settings, startups, management and the defense industry; and continues to meander. He will discuss specific projects, the role of networking and mentorship, and continuing education. Dr. Jennings is an executive in residence this fall at the Rhodes Information Initiative at Duke University. He is teaching a course in Sports Analytics that highlights student projects and guest lectures from prominent individuals in the analysis of the sports world. For work, he is an advisor to several startups, runs his own consultant firm, and is a contributor in the NSF-funded STEM Opportunities in Prison Settings (STEM-OPS). Otis sits on the board of Just Human Productions and the St. Mark's School of Texas and manages a grade-school math tutoring program that serves underprivileged youth.
Oct 22CDVS Workshop: Python for Data Science: Pandas 103
Data exploration In Python using grouping and aggregation. This is an intermediate-level, live teaching session where you will learn how to use the Pandas module for exploring tablular (spreadsheet) data using the groupby() and pivot_table() functions, as well as some visualizations of results. Python can be a great option for exploration, analysis and visualization of tabular data, such as spreadsheets and CSV files, if you know which tools to use and how to get started. This workshop builds upon the introductory Pandas workshops I gave in Fall 2019 and Spring 2020. (Code repository. See below for recordings.) In Pandas 101, I covered the very basics of how to access your data in a Panda DataFrame and do some basic plotting. In Pandas 102, I introduced how to get data into a "tidy" form, and merge datasets (like doing an SQL JOIN). In this Pandas 103, I will show you some of the way you can explore patterns in data by aggretating across categories and time. This is similar to the process of data exploration in Tableau, but here with Python, Pandas and JupyterLab.
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