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This is an archive of our past training offerings. We are looking to include workshops on topics not yet covered here. Is there something not currently on the list? Send us a proposal.

E.g., 24-Sep-17
E.g., 24-Sep-17
August 17, 2017
Coordinator:
Shelly Steward

This introductory workshop focuses on how to organize and code qualitative data in ATLAS.ti. The training will outline key decisions researchers must make in the coding process, as well as review how to start a new project and engage in basic tasks.

August 17, 2017
Coordinator:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction (Tuesday, August 15)

August 16, 2017
Coordinator:
Shelly Steward

This workshop will provide an overview of popular qualitative data analysis (QDA) software (i.e., NVivo, MaxQDA, Dedoose, and Atlas.TI), including a review of similarities and differences between them. This workshop is ideal for researchers who are new to QDA software. More advanced workshops will be offered in the days after this introduction, as well as throughout the semester.

August 16, 2017
Coordinator:
Geoff Bacon

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 3 Topics:

August 16, 2017
Coordinator:
Samy Abdel-Ghaffar

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills at the free D-Lab R workshops!

August 16, 2017
Coordinator:
Isabelle Cohen

This three-part series will cover the following materials:

Part 1:  Introduction (Tuesday, August 15)

August 16, 2017
Coordinator:
Shelly Steward

This workshop will focus on how a researcher may engage the coding and analysis process within a systematic and often non-linear qualitative research process. Attendees should have an introductory understanding of qualitative research, including the overall process. This can be achieved by attending earlier workshops in the series.

August 15, 2017
Coordinator:
Josué Meléndez Rodríguez

This workshop will consider the overall qualitative research process as one that is both systematic and flexible. Examples of qualitative research projects will be studied and discussed in small groups. Then, attendees will design a sample research plan for themselves. Attendees should have an introductory understanding of qualitative research.

August 15, 2017
Coordinator:
Alex Estes

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 2 Topics:

August 15, 2017
Coordinator:
Samy Abdel-Ghaffar

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills at the free D-Lab R workshops!

August 15, 2017
Coordinator:
Jackie Ferguson

This three-part series will cover the following materials:

Part 1:  Introduction (Tuesday, August 15)

August 15, 2017
Coordinator:
Josué Meléndez Rodríguez

This workshop will introduce students to philosophical concepts (i.e., ontology, epistemology, and axiology) in relation to research. Attendees will explore their own philosophical orientations and spend time bridging philosophies, methodologies, and methods. Attendees should have an introductory understanding of qualitative research.

August 14, 2017
Coordinator:
Josué Meléndez Rodríguez

This workshop focuses on explaining the differences between qualitative methodologies and methods, as well as introducing a variety of each. Attendees will have time to explore and discuss their interests.

August 14, 2017
Coordinator:
Alex Estes

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 1 Topics:

August 14, 2017
Coordinator:
Nora Broege

This two-part workshop provides an introduction to both quantitative and qualitative social science methods.

August 14, 2017
Coordinator:
Josué Meléndez Rodríguez

This is a welcome event for attendees of a week-long workshop series offered under the title "Introduction to Qualitative Research: Philosophy to Analysis." This event is designed for those who plan to attend all (or most) workshops in the series (available for registration via D-Lab's website).

August 14, 2017
Coordinator:
Samy Abdel-Ghaffar

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills at the free D-Lab R workshops!

August 11, 2017
Coordinator:
Alex Estes

An intro to the basics that instructors often assume you know, but that you probably never had good instruction on! After this course, you should be able to more easily start learning to program (e.g., in our R or Python Fundamentals series), follow instructions and documentation online (e.g., StackExchange), and communicate better with your collaborators who are programming.

May 19, 2017
Coordinator:
Scott McGinnis

This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data.  The course begins by introducing basic concepts with an exercise in creating an HTML webpage.  After that, it will move to cover several important XML applications, with exercises in dynamic mapping (with KML) and structured markup of literary and historical tex

May 18, 2017
Coordinator:
Scott McGinnis

This four-part intensive will introduce a suite of related technologies, centered on XML, for working with structured texts and data.  The course begins by introducing basic concepts with an exercise in creating an HTML webpage.  After that, it will move to cover several important XML applications, with exercises in dynamic mapping (with KML) and structured markup of literary and historical tex

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