Introduction to ATLAS.ti Part 1

This 2-hour course will be offered online only. Attendance is required as the course will not be recorded.

This short course will demonstrate the capabilities of the PC version of ATLAS.ti (version 23), a qualitative analysis software program for coding and interpreting qualitative data. ATLAS.ti also provides numerous options for attaching memos and comments to text segments, documents, and codes. We will demonstrate how to import textual data, create and apply codes, write memos, create diagrams, and examine the hierarchical and relational connections among codes. We will also discuss special analysis features, such as the code co-occurrence matrix, the codes-variables table, and Sankey diagrams.

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This two-day (1/23/24 and 1/25/24) course will be offered via Zoom only. Attendance is required as the course will not be recorded.

Usability testing in survey research allows in-depth evaluation of how respondents and interviewers interact with questionnaires, particularly web and mobile surveys. A respondent may understand the survey question and response options, but may be unable to select their answer accurately on the small screen of a smartphone. Although there is a growing body of literature on best practices for web surveys and mobile devices, not all design guidelines work equally well for all surveys and all survey populations. In addition, it is clear that the capabilities of computerized surveys are constantly emerging. Examples are the use of images, videos, maps and GPS, interactive features, and mobile devices. As a result, it is critical for researchers to have the necessary tools to evaluate, test, and modify surveys to incorporate user-centered design in an iterative method as part of the survey pretesting process.

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This one-day course will be offered via Zoom only. There will be a 1-hour lunch and (2) 10-minute breaks (one in the morning and one in afternoon). Attendance is required as it will not be recorded.

This 6-hour course provides a general introduction to qualitative data collection, with an emphasis on applications within public health. We will examine the principles behind crafting cogent and engaging research questions, as well as selecting appropriate sampling strategies and sample sizes for qualitative inquiry. The workshop then delves into the two most commonly employed qualitative data collection methods – in-depth interviews and focus groups. Participants will gain first-hand experience designing instruments and conducting qualitative interviews. Best practices associated with qualitative data management, including transcription and translation, will comprise the final portion of the workshop. Course structure includes lecture, demonstrations, and hands-on exercises. Examples will include both domestic and international research contexts.

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Join the School of Data Science and Society for a seminar featuring Michael R. Kosorok, PhD, W.R. Kenan, Jr. Distinguished Professor of Biostatistics and professor of statistics and operations research. This seminar will be held in-person at ITS Manning in room 2400.

In this talk, Kosorok will discuss at a high level important recent developments in artificial intelligence, including large language models and other artificial intelligence tools such as off-policy reinforcement learning, and their strengths and limitations, with an emphasis on applications in causally valid precision health research. This will include some perspectives on the dangers of overhype and unrealistic expectations, a discussion of present and future dangers, and suggestions on how to move forward.

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This two-day (1/23/24 and 1/25/24) course will be offered via Zoom only. Attendance is required as the course will not be recorded.

Usability testing in survey research allows in-depth evaluation of how respondents and interviewers interact with questionnaires, particularly web and mobile surveys. A respondent may understand the survey question and response options, but may be unable to select their answer accurately on the small screen of a smartphone. Although there is a growing body of literature on best practices for web surveys and mobile devices, not all design guidelines work equally well for all surveys and all survey populations. In addition, it is clear that the capabilities of computerized surveys are constantly emerging. Examples are the use of images, videos, maps and GPS, interactive features, and mobile devices. As a result, it is critical for researchers to have the necessary tools to evaluate, test, and modify surveys to incorporate user-centered design in an iterative method as part of the survey pretesting process.

Register

Advancing the Safe, Effective and Equitable Use of AI in Healthcare

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Suresh Balu, MD, MBA
Director, Duke Institute for Health Innovation (DIHI)
Associate Dean, Innovation and Partnership
Duke School of Medicine

Mark Sendak, MD, MPP
Population Health & Data Science lead
Duke Institute for Health Innovation (DIHI)

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