SSRI~ Workshop: Evaluation 101 - Assessing Impact and Informing Improvement
This session offers an overview of program evaluation and evaluation research, or the systematic investigation of the merit, worth, or significance of an entity/initiative. Topics covered will include: when and why to conduct evaluation; types of evaluations; key aspects of an evaluation, including logic model development, data sources and data collection, analysis and reporting, and guiding resultant programmatic change; and tips for feasibly and effectively implementing evaluation in an entity or initiative. This session may be of particular interest to: individuals working in initiatives or entities that are looking utilize evaluation to inform decision-making, as well as faculty, graduate students, undergraduates or others who are interested in evaluation and related partnered/applied research. Please click "More Event Information" (box below) to register.
CDVS Workshop: Mapping in Tableau
Tableau is a software package that is increasingly popular for creating striking visualizations, such as charts and graphs, from tabular data. It also has an increasing number of capabilities to create maps. Source data can include native geospatial files (such as shapefiles or GeoJSON files), but also tabular data (such as CSV or Excel files) that include locational values, such as place names or coordinate data. This workshop will cover how to create maps in Tableau and on ways to manipulate the data and to effectively symbolize it on a map.
CDVS 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.
SSRI~ 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.