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48 events found

Host institutions: Instats 

  • Multilevel Modeling and Multilevel SEM with Michael Zyphur, University of Queensland and Instats

    10 - 11 December 2024

    Multilevel Modeling and Multilevel SEM with Michael Zyphur, University of Queensland and Instats https://dresa.org.au/events/multilevel-modeling-and-multilevel-sem-with-michael-zyphur-university-of-queensland-and-instats This seminar introduces the Mplus multilevel latent variable modeling framework and describes multilevel variance/effect decomposition, random/fixed effects (random slopes), and then explores multilevel path analysis, multilevel CFA, and multilevel SEM. Topics include ways to handle strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation). 2024-12-10 10:00:00 UTC 2024-12-11 15:30:00 UTC Michael Zyphur, University of Queensland and Instats Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Git (Free Seminar) with Data Umbrella

    11 December 2024

    Introduction to Git (Free Seminar) with Data Umbrella https://dresa.org.au/events/introduction-to-git-free-seminar-with-data-umbrella Join us for an introductory session on Git, the quintessential version control software used by developers to collaborate and manage projects. Discover some fundamental concepts, explore its practical applications, and learn how to efficiently use both the command line and the Visual Studio Code graphical user interface (GUI). Whether you're a seasoned developer or just starting your coding journey, this webinar will equip you with essential skills. 2024-12-11 04:00:00 UTC 2024-12-11 05:30:00 UTC Data Umbrella Instats info@instats.org [] [] [] open_to_all []
  • Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne

    12 - 13 December 2024

    Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne https://dresa.org.au/events/intensive-longitudinal-methods-design-and-analysis-in-mplus-with-peter-koval-melbourne-school-of-psychological-sciences-university-of-melbourne This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis. Participants will gain practical skills in designing, analyzing, and interpreting intensive longitudinal data, enhancing the rigor and impact of their research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-12 10:00:00 UTC 2024-12-13 15:30:00 UTC Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    18 December 2024

    Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []
  • Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina

    8 - 11 January 2025

    Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina https://dresa.org.au/events/bayesian-spatial-and-spatio-temporal-health-modeling-in-r-with-andrew-lawson-department-of-public-health-sciences-medical-university-of-south-carolina This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science. 2025-01-08 01:00:00 UTC 2025-01-11 04:00:00 UTC Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London

    13 - 18 January 2025

    Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-research-methods-and-statistics-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive 5-day workshop provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts. 2025-01-13 20:30:00 UTC 2025-01-18 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    14 - 15 January 2025

    Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/introduction-to-nonlinear-dynamical-systems-and-analysis-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This seminar introduces nonlinear dynamical systems analyses tailored for researchers in the social, behavioral, and economic sciences, providing a framework to model complex human behavior and societal interactions. Participants will gain hands-on expertise in using R for nonlinear dynamical systems modeling, exploring concepts such as fixed points, stability, and attractors, with practical applications to enhance their research approaches. 2025-01-14 03:00:00 UTC 2025-01-15 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []
  • Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc.

    14 - 17 January 2025

    Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-introductory-course-with-michael-borenstein-biostat-inc This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses. An emphasis is placed on the two primary types of meta-analysis: fixed-effects versus random-effects models. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-14 03:00:00 UTC 2025-01-17 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []
  • Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    14 - 15 January 2025

    Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. The seminar includes practical exercises, a Q&A session, and post-seminar support, offering participants a deep understanding of dose-response functions and their application in various research fields. An official Instats certificate of completion is provided along with 1 ECTS equivalent points. 2025-01-14 22:00:00 UTC 2025-01-15 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna

    15 - 19 January 2025

    Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna https://dresa.org.au/events/remote-sensing-in-ecology-with-imagery-for-r-with-duccio-rocchini-university-of-bologna This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to effectively incorporate remote sensing into their ecological studies. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-15 23:00:00 UTC 2025-01-19 05:00:00 UTC Duccio Rocchini, University of Bologna Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science

    16 January - 13 February 2025

    Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science https://dresa.org.au/events/introduction-to-bayesian-statistical-modelling-with-rosina-savisaar-mondego-science This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective. The course starts by covering the very basics of what a model is, building up to fairly sophisticated models by the last session (for example, predicting COVID-19 outcomes from biomarker data). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-16 02:00:00 UTC 2025-02-13 05:00:00 UTC Rosina Savisaar, Mondego Science Instats info@instats.org [] [] [] open_to_all []
  • Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

    16 - 17 January 2025

    Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine https://dresa.org.au/events/introduction-to-r-for-data-analysis-with-rebecca-barter-division-of-epidemiology-university-of-utah-school-of-medicine This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R. 2025-01-16 04:00:00 UTC 2025-01-17 10:00:00 UTC Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Survey Sampling with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    21 - 22 January 2025

    Introduction to Survey Sampling with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/introduction-to-survey-sampling-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex This two-day workshop provides an in-depth introduction to applied survey sampling, focusing on key techniques such as simple random sampling, stratified sampling, and cluster sampling. Participants will learn the theoretical foundations of sampling design, explore coverage and sampling errors, and understand the importance of appropriate sample frames in different contexts. By the end of the course, attendees will have a solid grasp of the nuances of population representation and frame selection, enhancing their ability to design credible and accurate surveys. 2025-01-21 00:00:00 UTC 2025-01-22 04:00:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Regression Analysis with Centre for Applied Statistics Courses (CASC), University College London

    21 - 24 January 2025

    Introduction to Regression Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-regression-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This three-day workshop provides a comprehensive introduction to regression analysis, focusing on practical application using software such as Stata, R, and SPSS. Participants will gain essential skills for conducting robust regression analyses, interpreting results, and solving common data issues, all of which are crucial for advancing academic and professional research in various fields. 2025-01-21 20:30:00 UTC 2025-01-24 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Thematic Analysis Using NVivo with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    23 - 24 January 2025

    Thematic Analysis Using NVivo with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/thematic-analysis-using-nvivo-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop introduces participants to the principles of thematic analysis and the capabilities of NVivo software, essential for rigorously analyzing qualitative data in social sciences and humanities research. Participants will gain practical skills in data management, coding, and thematic visualization, with personalized feedback to enhance their research output and methodological transparency. 2025-01-23 09:00:00 UTC 2025-01-24 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []
  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

    Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/developing-r-packages-and-cran-publishing-with-fodil-ihaddaden-institute-for-statistical-and-data-science This seminar provides an introduction to R package development, emphasizing best practices and common pitfalls to avoid. Participants will gain practical skills for creating efficient and reliable R packages, including publishing on CRAN, enhancing their research capabilities and expanding their contributions to the scientific community. 2025-01-24 08:00:00 UTC 2025-01-25 02:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []
  • Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University

    27 - 28 January 2025

    Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/deep-learning-for-the-life-sciences-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to areas like genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    27 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school-70a8fb64-c944-4e8a-bf5f-a658c8ef8784 This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-27 20:00:00 UTC 2025-01-29 02:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []
  • Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete

    28 January 2025

    Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete https://dresa.org.au/events/efficient-programming-in-r-free-seminar-with-michail-tsagris-department-of-economics-university-of-crete This 3-hour seminar delves into efficient programming techniques in R for advanced data analysis, focusing on optimizing code, enhancing computational speed, and ensuring reproducible research practices. Participants will gain practical skills beneficial for diverse fields, improving both the precision and impact of their analytical work. 2025-01-28 01:00:00 UTC 2025-01-28 04:00:00 UTC Michail Tsagris, Department of Economics, University of Crete Instats info@instats.org [] [] [] open_to_all []
  • Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc.

    28 - 31 January 2025

    Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-advanced-course-with-michael-borenstein-biostat-inc This four-day workshop covers advanced topics in meta-analysis, including how to quantify and explain heterogeneity in effects across studies. Participants will learn how to use subgroups analysis and meta-regression while covering key topics such as publication bias, complex data sets, and limitations of the random-effects model. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-28 03:00:00 UTC 2025-01-31 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []
  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    28 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-28 04:00:00 UTC 2025-01-29 10:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []
  • Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    29 - 31 January 2025

    Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/foundations-of-questionnaire-design-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research. 2025-01-29 17:00:00 UTC 2025-01-31 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []
  • Advanced Ethnographic Methods with Niko Besnier, Department of Social Inquiry, La Trobe University

    29 - 31 January 2025

    Advanced Ethnographic Methods with Niko Besnier, Department of Social Inquiry, La Trobe University https://dresa.org.au/events/advanced-ethnographic-methods-with-niko-besnier-department-of-social-inquiry-la-trobe-university This advanced workshop focuses on topics in contemporary ethnographic research. Classic ethnography (long term, focused on a single location, addressing academic questions) is often not desirable or feasible, as was dramatically illustrated during the pandemic. In this workshop, participants will explore new ways of conducting ethnographic research, exploring areas such as multi-sited ethnography, digital ethnography, collecting and utilizing naturalistic interaction data, collaborative and team-based ethnography, rapid ethnography, and the application of ethnographic methods to research in the non-profit sector and industry, crucial for conducting ethnographic research in the contemporary world. 2025-01-29 19:00:00 UTC 2025-01-31 21:00:00 UTC Niko Besnier, Department of Social Inquiry, La Trobe University Instats info@instats.org [] [] [] open_to_all []
  • Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    3 - 5 February 2025

    Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/text-mining-in-action-tools-and-techniques-using-python-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides a comprehensive exploration of text mining techniques using Python, tailored for academic researchers seeking to analyze large textual datasets effectively. Participants will gain hands-on experience with Python libraries and methodologies for natural language processing, sentiment analysis, topic modeling, text classification, and more, enhancing their data analysis capabilities across various disciplines. 2025-02-03 21:00:00 UTC 2025-02-05 02:00:00 UTC Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Conducting Interviews for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    5 - 6 February 2025

    Conducting Interviews for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/conducting-interviews-for-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop provides a comprehensive guide to conducting interviews for qualitative research, equipping participants with the skills necessary to design effective interview questions, manage data using NVivo and ELAN, and address ethical concerns. Led by Dr. Corinne Seals, this seminar will enhance your ability to conduct interviews that extract meaningful insights, ultimately contributing to robust and compelling academic research. 2025-02-05 09:00:00 UTC 2025-02-06 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning Essentials (Free Seminar) with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    6 February 2025

    Machine Learning Essentials (Free Seminar) with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-essentials-free-seminar-with-kimberly-fessel-dr-kim-data-data-science-consultancy This comprehensive one-hour seminar provides PhD students, academics, and professional researchers with fundamental insights into machine learning concepts, crucial for modern data analysis in many disciplines. Led by data science expert Dr Kimberly Fessel, participants will explore key topics such as supervised and unsupervised learning, model performance (under- vs. overfitting), and popular algorithms like linear and logistic regression, decision trees, and neural networks. 2025-02-06 03:00:00 UTC 2025-02-06 04:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []
  • Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz

    10 - 12 February 2025

    Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/time-management-and-productivity-hacks-for-researchers-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This two-day workshop provides essential strategies for effective time management and productivity tailored specifically for academic researchers, addressing common challenges faced in balancing research, teaching, and administrative tasks. Participants will familiarize themselves with practical (AI) tools such as ChatGPT and innovative techniques to enhance their research efficiency and achieve a more sustainable work-life balance. 2025-02-10 20:00:00 UTC 2025-02-12 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    11 February 2025

    Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-an-introduction-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides a basic introduction to using artificial intelligence for text analysis. Tailored for researchers across a variety of social and health science fields, participants will gain practical skills in building text corpuses, topic modeling, and using ChatGPT, Copilot, and other Large Language Models (LLMs) in R, while addressing ethical considerations and validation techniques for AI-driven research. 2025-02-11 03:00:00 UTC 2025-02-11 09:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland

    12 - 14 February 2025

    Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland https://dresa.org.au/events/vector-generalized-linear-and-additive-models-with-thomas-yee-department-of-statistics-university-of-auckland This workshop provides a comprehensive introduction to Vector Generalized Linear and Additive Models (VGLMs and VGAMs), equipping researchers with advanced skills for analyzing complex data structures often encountered in the social, health, and natural sciences. Participants will gain practical experience using the VGAM package in R for data analysis, enhancing their ability to apply sophisticated yet easy-to-use methods for their own research projects. 2025-02-12 10:00:00 UTC 2025-02-14 13:30:00 UTC Thomas Yee, Department of Statistics, University of Auckland Instats info@instats.org [] [] [] open_to_all []
  • Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London

    12 - 14 February 2025

    Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London https://dresa.org.au/events/multilevel-and-growth-curve-models-in-r-and-stata-with-department-of-epidemiology-and-public-health-university-college-london This two-day workshop provides a comprehensive exploration of mixed models and growth curves, focusing on the practical application of these methods in Stata and R for analyzing longitudinal and hierarchical data. Participants will gain essential skills in specifying, fitting, and interpreting mixed models, enhancing their research capabilities in fields such as psychology, sociology, and public health. 2025-02-12 20:00:00 UTC 2025-02-14 00:00:00 UTC Department of Epidemiology and Public Health, University College London Instats info@instats.org [] [] [] open_to_all []
  • Multilevel Modeling and Multilevel SEM with Michael Zyphur, University of Queensland and Instats

    10 - 11 December 2024

    Multilevel Modeling and Multilevel SEM with Michael Zyphur, University of Queensland and Instats https://dresa.org.au/events/multilevel-modeling-and-multilevel-sem-with-michael-zyphur-university-of-queensland-and-instats This seminar introduces the Mplus multilevel latent variable modeling framework and describes multilevel variance/effect decomposition, random/fixed effects (random slopes), and then explores multilevel path analysis, multilevel CFA, and multilevel SEM. Topics include ways to handle strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation). 2024-12-10 10:00:00 UTC 2024-12-11 15:30:00 UTC Michael Zyphur, University of Queensland and Instats Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Git (Free Seminar) with Data Umbrella

    11 December 2024

    Introduction to Git (Free Seminar) with Data Umbrella https://dresa.org.au/events/introduction-to-git-free-seminar-with-data-umbrella Join us for an introductory session on Git, the quintessential version control software used by developers to collaborate and manage projects. Discover some fundamental concepts, explore its practical applications, and learn how to efficiently use both the command line and the Visual Studio Code graphical user interface (GUI). Whether you're a seasoned developer or just starting your coding journey, this webinar will equip you with essential skills. 2024-12-11 04:00:00 UTC 2024-12-11 05:30:00 UTC Data Umbrella Instats info@instats.org [] [] [] open_to_all []
  • Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne

    12 - 13 December 2024

    Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne https://dresa.org.au/events/intensive-longitudinal-methods-design-and-analysis-in-mplus-with-peter-koval-melbourne-school-of-psychological-sciences-university-of-melbourne This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis. Participants will gain practical skills in designing, analyzing, and interpreting intensive longitudinal data, enhancing the rigor and impact of their research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-12 10:00:00 UTC 2024-12-13 15:30:00 UTC Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    18 December 2024

    Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []
  • Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina

    8 - 11 January 2025

    Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina https://dresa.org.au/events/bayesian-spatial-and-spatio-temporal-health-modeling-in-r-with-andrew-lawson-department-of-public-health-sciences-medical-university-of-south-carolina This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science. 2025-01-08 01:00:00 UTC 2025-01-11 04:00:00 UTC Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London

    13 - 18 January 2025

    Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-research-methods-and-statistics-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive 5-day workshop provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts. 2025-01-13 20:30:00 UTC 2025-01-18 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    14 - 15 January 2025

    Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/introduction-to-nonlinear-dynamical-systems-and-analysis-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This seminar introduces nonlinear dynamical systems analyses tailored for researchers in the social, behavioral, and economic sciences, providing a framework to model complex human behavior and societal interactions. Participants will gain hands-on expertise in using R for nonlinear dynamical systems modeling, exploring concepts such as fixed points, stability, and attractors, with practical applications to enhance their research approaches. 2025-01-14 03:00:00 UTC 2025-01-15 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []
  • Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc.

    14 - 17 January 2025

    Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-introductory-course-with-michael-borenstein-biostat-inc This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses. An emphasis is placed on the two primary types of meta-analysis: fixed-effects versus random-effects models. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-14 03:00:00 UTC 2025-01-17 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []
  • Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    14 - 15 January 2025

    Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. The seminar includes practical exercises, a Q&A session, and post-seminar support, offering participants a deep understanding of dose-response functions and their application in various research fields. An official Instats certificate of completion is provided along with 1 ECTS equivalent points. 2025-01-14 22:00:00 UTC 2025-01-15 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna

    15 - 19 January 2025

    Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna https://dresa.org.au/events/remote-sensing-in-ecology-with-imagery-for-r-with-duccio-rocchini-university-of-bologna This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to effectively incorporate remote sensing into their ecological studies. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-15 23:00:00 UTC 2025-01-19 05:00:00 UTC Duccio Rocchini, University of Bologna Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science

    16 January - 13 February 2025

    Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science https://dresa.org.au/events/introduction-to-bayesian-statistical-modelling-with-rosina-savisaar-mondego-science This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective. The course starts by covering the very basics of what a model is, building up to fairly sophisticated models by the last session (for example, predicting COVID-19 outcomes from biomarker data). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-16 02:00:00 UTC 2025-02-13 05:00:00 UTC Rosina Savisaar, Mondego Science Instats info@instats.org [] [] [] open_to_all []
  • Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

    16 - 17 January 2025

    Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine https://dresa.org.au/events/introduction-to-r-for-data-analysis-with-rebecca-barter-division-of-epidemiology-university-of-utah-school-of-medicine This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R. 2025-01-16 04:00:00 UTC 2025-01-17 10:00:00 UTC Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Survey Sampling with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    21 - 22 January 2025

    Introduction to Survey Sampling with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/introduction-to-survey-sampling-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex This two-day workshop provides an in-depth introduction to applied survey sampling, focusing on key techniques such as simple random sampling, stratified sampling, and cluster sampling. Participants will learn the theoretical foundations of sampling design, explore coverage and sampling errors, and understand the importance of appropriate sample frames in different contexts. By the end of the course, attendees will have a solid grasp of the nuances of population representation and frame selection, enhancing their ability to design credible and accurate surveys. 2025-01-21 00:00:00 UTC 2025-01-22 04:00:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Regression Analysis with Centre for Applied Statistics Courses (CASC), University College London

    21 - 24 January 2025

    Introduction to Regression Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-regression-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This three-day workshop provides a comprehensive introduction to regression analysis, focusing on practical application using software such as Stata, R, and SPSS. Participants will gain essential skills for conducting robust regression analyses, interpreting results, and solving common data issues, all of which are crucial for advancing academic and professional research in various fields. 2025-01-21 20:30:00 UTC 2025-01-24 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Thematic Analysis Using NVivo with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    23 - 24 January 2025

    Thematic Analysis Using NVivo with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/thematic-analysis-using-nvivo-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop introduces participants to the principles of thematic analysis and the capabilities of NVivo software, essential for rigorously analyzing qualitative data in social sciences and humanities research. Participants will gain practical skills in data management, coding, and thematic visualization, with personalized feedback to enhance their research output and methodological transparency. 2025-01-23 09:00:00 UTC 2025-01-24 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []
  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

    Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/developing-r-packages-and-cran-publishing-with-fodil-ihaddaden-institute-for-statistical-and-data-science This seminar provides an introduction to R package development, emphasizing best practices and common pitfalls to avoid. Participants will gain practical skills for creating efficient and reliable R packages, including publishing on CRAN, enhancing their research capabilities and expanding their contributions to the scientific community. 2025-01-24 08:00:00 UTC 2025-01-25 02:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []
  • Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University

    27 - 28 January 2025

    Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/deep-learning-for-the-life-sciences-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to areas like genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []
  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    27 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school-70a8fb64-c944-4e8a-bf5f-a658c8ef8784 This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-27 20:00:00 UTC 2025-01-29 02:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []
  • Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete

    28 January 2025

    Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete https://dresa.org.au/events/efficient-programming-in-r-free-seminar-with-michail-tsagris-department-of-economics-university-of-crete This 3-hour seminar delves into efficient programming techniques in R for advanced data analysis, focusing on optimizing code, enhancing computational speed, and ensuring reproducible research practices. Participants will gain practical skills beneficial for diverse fields, improving both the precision and impact of their analytical work. 2025-01-28 01:00:00 UTC 2025-01-28 04:00:00 UTC Michail Tsagris, Department of Economics, University of Crete Instats info@instats.org [] [] [] open_to_all []
  • Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc.

    28 - 31 January 2025

    Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-advanced-course-with-michael-borenstein-biostat-inc This four-day workshop covers advanced topics in meta-analysis, including how to quantify and explain heterogeneity in effects across studies. Participants will learn how to use subgroups analysis and meta-regression while covering key topics such as publication bias, complex data sets, and limitations of the random-effects model. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-28 03:00:00 UTC 2025-01-31 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []
  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    28 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-28 04:00:00 UTC 2025-01-29 10:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []
  • Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    29 - 31 January 2025

    Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/foundations-of-questionnaire-design-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research. 2025-01-29 17:00:00 UTC 2025-01-31 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []
  • Advanced Ethnographic Methods with Niko Besnier, Department of Social Inquiry, La Trobe University

    29 - 31 January 2025

    Advanced Ethnographic Methods with Niko Besnier, Department of Social Inquiry, La Trobe University https://dresa.org.au/events/advanced-ethnographic-methods-with-niko-besnier-department-of-social-inquiry-la-trobe-university This advanced workshop focuses on topics in contemporary ethnographic research. Classic ethnography (long term, focused on a single location, addressing academic questions) is often not desirable or feasible, as was dramatically illustrated during the pandemic. In this workshop, participants will explore new ways of conducting ethnographic research, exploring areas such as multi-sited ethnography, digital ethnography, collecting and utilizing naturalistic interaction data, collaborative and team-based ethnography, rapid ethnography, and the application of ethnographic methods to research in the non-profit sector and industry, crucial for conducting ethnographic research in the contemporary world. 2025-01-29 19:00:00 UTC 2025-01-31 21:00:00 UTC Niko Besnier, Department of Social Inquiry, La Trobe University Instats info@instats.org [] [] [] open_to_all []
  • Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    3 - 5 February 2025

    Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/text-mining-in-action-tools-and-techniques-using-python-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides a comprehensive exploration of text mining techniques using Python, tailored for academic researchers seeking to analyze large textual datasets effectively. Participants will gain hands-on experience with Python libraries and methodologies for natural language processing, sentiment analysis, topic modeling, text classification, and more, enhancing their data analysis capabilities across various disciplines. 2025-02-03 21:00:00 UTC 2025-02-05 02:00:00 UTC Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []
  • Conducting Interviews for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    5 - 6 February 2025

    Conducting Interviews for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/conducting-interviews-for-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop provides a comprehensive guide to conducting interviews for qualitative research, equipping participants with the skills necessary to design effective interview questions, manage data using NVivo and ELAN, and address ethical concerns. Led by Dr. Corinne Seals, this seminar will enhance your ability to conduct interviews that extract meaningful insights, ultimately contributing to robust and compelling academic research. 2025-02-05 09:00:00 UTC 2025-02-06 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning Essentials (Free Seminar) with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    6 February 2025

    Machine Learning Essentials (Free Seminar) with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-essentials-free-seminar-with-kimberly-fessel-dr-kim-data-data-science-consultancy This comprehensive one-hour seminar provides PhD students, academics, and professional researchers with fundamental insights into machine learning concepts, crucial for modern data analysis in many disciplines. Led by data science expert Dr Kimberly Fessel, participants will explore key topics such as supervised and unsupervised learning, model performance (under- vs. overfitting), and popular algorithms like linear and logistic regression, decision trees, and neural networks. 2025-02-06 03:00:00 UTC 2025-02-06 04:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []
  • Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz

    10 - 12 February 2025

    Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/time-management-and-productivity-hacks-for-researchers-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This two-day workshop provides essential strategies for effective time management and productivity tailored specifically for academic researchers, addressing common challenges faced in balancing research, teaching, and administrative tasks. Participants will familiarize themselves with practical (AI) tools such as ChatGPT and innovative techniques to enhance their research efficiency and achieve a more sustainable work-life balance. 2025-02-10 20:00:00 UTC 2025-02-12 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    11 February 2025

    Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-an-introduction-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides a basic introduction to using artificial intelligence for text analysis. Tailored for researchers across a variety of social and health science fields, participants will gain practical skills in building text corpuses, topic modeling, and using ChatGPT, Copilot, and other Large Language Models (LLMs) in R, while addressing ethical considerations and validation techniques for AI-driven research. 2025-02-11 03:00:00 UTC 2025-02-11 09:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland

    12 - 14 February 2025

    Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland https://dresa.org.au/events/vector-generalized-linear-and-additive-models-with-thomas-yee-department-of-statistics-university-of-auckland This workshop provides a comprehensive introduction to Vector Generalized Linear and Additive Models (VGLMs and VGAMs), equipping researchers with advanced skills for analyzing complex data structures often encountered in the social, health, and natural sciences. Participants will gain practical experience using the VGAM package in R for data analysis, enhancing their ability to apply sophisticated yet easy-to-use methods for their own research projects. 2025-02-12 10:00:00 UTC 2025-02-14 13:30:00 UTC Thomas Yee, Department of Statistics, University of Auckland Instats info@instats.org [] [] [] open_to_all []
  • Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London

    12 - 14 February 2025

    Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London https://dresa.org.au/events/multilevel-and-growth-curve-models-in-r-and-stata-with-department-of-epidemiology-and-public-health-university-college-london This two-day workshop provides a comprehensive exploration of mixed models and growth curves, focusing on the practical application of these methods in Stata and R for analyzing longitudinal and hierarchical data. Participants will gain essential skills in specifying, fitting, and interpreting mixed models, enhancing their research capabilities in fields such as psychology, sociology, and public health. 2025-02-12 20:00:00 UTC 2025-02-14 00:00:00 UTC Department of Epidemiology and Public Health, University College London Instats info@instats.org [] [] [] open_to_all []

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