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Host institutions: Instats 

  • Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada

    22 February 2025

    Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada https://dresa.org.au/events/advanced-data-visualizations-in-r-free-seminar-with-statistical-society-of-canada This seminar introduces participants to creating aesthetic and informative visualizations using the R ggplot2 package and the Grammar of Graphics framework. The session covers foundational concepts, advanced customization techniques (e.g., scales, faceting, themes), and specialized visualizations like heatmaps and Kaplan-Meier curves, with interactive capabilities using plotly and an overview of Shiny. Via hands-on demonstrations, participants will gain practical skills to tailor visualizations for effective data storytelling and audience engagement. 2025-02-22 05:00:00 UTC 2025-02-22 07:00:00 UTC Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []

  • Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada

    22 February 2025

    Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada https://dresa.org.au/events/advanced-data-visualizations-in-r-free-seminar-with-statistical-society-of-canada-169cdf95-4bf4-4333-8fe4-ef888da0da4a This seminar introduces participants to creating aesthetic and informative visualizations using the R ggplot2 package and the Grammar of Graphics framework. The session covers foundational concepts, advanced customization techniques (e.g., scales, faceting, themes), and specialized visualizations like heatmaps and Kaplan-Meier curves, with interactive capabilities using plotly and an overview of Shiny. Via hands-on demonstrations, participants will gain practical skills to tailor visualizations for effective data storytelling and audience engagement. 2025-02-22 05:00:00 UTC 2025-02-22 07:00:00 UTC Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []

  • How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz

    24 - 25 February 2025

    How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/how-to-publish-research-successfully-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This intensive seminar provides researchers in in the social sciences with essential strategies for successful academic publishing, covering topic selection, manuscript preparation, and navigating the peer-review process. Participants will acquire vital skills to enhance their publication success and professional growth, including considerations regarding the use of ChatGPT as a research and writing assistant. 2025-02-24 20:00:00 UTC 2025-02-25 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []

  • Statistical Methods for Adaptive Treatment Strategies with Erica Moodie, McGill University and Statistical Society of Canada

    25 February - 2 April 2025

    Statistical Methods for Adaptive Treatment Strategies with Erica Moodie, McGill University and Statistical Society of Canada https://dresa.org.au/events/statistical-methods-for-adaptive-treatment-strategies-with-erica-moodie-mcgill-university-and-statistical-society-of-canada This one-day workshop provides an introduction to statistical methods for adaptive treatment strategies, crucial for advancing personalized medicine. Participants will learn about single-stage and multi-stage analyses, and be equipped with skills to enhance clinical decision-making and research outcomes in their own work. 2025-02-25 02:00:00 UTC 2025-04-02 04:30:00 UTC Erica Moodie, McGill University and Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []

  • Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    25 - 28 February 2025

    Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/nonlinear-time-series-analysis-part-i-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This intensive four-day workshop provides a comprehensive introduction to nonlinear time series analysis, focusing on state space reconstruction and identifying evidence of nonlinear dynamics, using the R software. Participants will develop skills to manipulate, visualize, and create nonlinear models of time series data, enhancing their research in any field that works with time series data. 2025-02-25 03:00:00 UTC 2025-02-28 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []

  • Using ChatGPT for Advanced Data Analysis 4.0 [US] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    25 - 27 February 2025

    Using ChatGPT for Advanced Data Analysis 4.0 [US] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-4-0-us-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and model and on assessing the output. The course also reflects on implications of AI for data analysis and the academic research process more generally. 2025-02-25 04:00:00 UTC 2025-02-27 08:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []

  • Ethical Practices in Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    25 - 26 February 2025

    Ethical Practices in Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/ethical-practices-in-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop focuses on the ethical practices essential for conducting qualitative research, emphasizing interaction with vulnerable populations, participant protection, and community engagement. Led by Corinne Seals, it provides researchers with ethical frameworks and practical skills to ensure their studies are socially responsible and impactful, particularly in complex field settings. 2025-02-25 09:00:00 UTC 2025-02-26 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []

  • Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University

    26 - 27 February 2025

    Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/linear-and-nonlinear-dimensionality-reduction-with-nikolay-oskolkov-molecular-biosciences-lund-university This seminar provides a comprehensive overview of dimension reduction techniques in R and Python for high-dimensional complex datasets, focusing on their practical applications. Participants will gain theoretical knowledge and practical experience in linear and nonlinear methods such as PCA, tSNE and UMAP. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their own research problems. 2025-02-26 19:00:00 UTC 2025-02-27 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []

  • Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics

    27 February - 6 March 2025

    Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics https://dresa.org.au/events/causal-inference-with-propensity-scores-and-beyond-with-elizabeth-stuart-department-of-biostatistics This intensive workshop provides a comprehensive exploration of causal inference techniques, focusing on the use of propensity scores and advanced methodologies to derive robust conclusions in research across diverse fields. Led by Professor Elizabeth Stuart, participants will gain practical skills in applying these methods using R, enhancing their analytical capabilities and improving the credibility of their research findings. 2025-02-27 05:30:00 UTC 2025-03-06 08:00:00 UTC Elizabeth Stuart, Department of Biostatistics Instats info@instats.org [] [] [] open_to_all []

  • Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics

    27 February - 6 March 2025

    Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics https://dresa.org.au/events/causal-inference-with-propensity-scores-and-beyond-with-elizabeth-stuart-department-of-biostatistics-729bcc88-a109-41fd-a8fb-9d7a65d06745 This intensive workshop provides a comprehensive exploration of causal inference techniques, focusing on the use of propensity scores and advanced methodologies to derive robust conclusions in research across diverse fields. Led by Professor Elizabeth Stuart, participants will gain practical skills in applying these methods using R, enhancing their analytical capabilities and improving the credibility of their research findings. 2025-02-27 06:00:00 UTC 2025-03-06 08:30:00 UTC Elizabeth Stuart, Department of Biostatistics Instats info@instats.org [] [] [] open_to_all []

  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy-be45d228-aeec-440c-a2cd-b1de5ffbd63a This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University

    3 - 6 March 2025

    Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University https://dresa.org.au/events/successful-qualitative-research-with-david-silverman-goldsmiths-university-of-london-king-s-college-london-university-of-technology-sydney-leeds-university This three-day workshop, led by renowned scholar David Silverman, provides an immersive experience in mastering qualitative research methodologies critical for understanding complex social phenomena. Participants will enhance their ability to design robust qualitative studies, effectively analyze and interpret data, and create compelling narratives, all while navigating ethical considerations and exploring strategies for impactful research dissemination. 2025-03-03 21:00:00 UTC 2025-03-06 00:00:00 UTC David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University Instats info@instats.org [] [] [] open_to_all []

  • Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University

    3 - 6 March 2025

    Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University https://dresa.org.au/events/successful-qualitative-research-with-david-silverman-goldsmiths-university-of-london-king-s-college-london-university-of-technology-sydney-leeds-university-307fac71-e49a-49f9-8d04-600c4845e909 This three-day workshop, led by renowned scholar David Silverman, provides an immersive experience in mastering qualitative research methodologies critical for understanding complex social phenomena. Participants will enhance their ability to design robust qualitative studies, effectively analyze and interpret data, and create compelling narratives, all while navigating ethical considerations and exploring strategies for impactful research dissemination. 2025-03-03 21:00:00 UTC 2025-03-06 00:30:00 UTC David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds 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 March 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-40eeef04-4a3d-4300-bcf3-33d6c149a170 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. 2025-03-03 21:00:00 UTC 2025-03-05 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 []

  • Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions

    4 - 6 March 2025

    Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/introduction-to-spatial-data-and-r-as-a-gis-with-nick-bearman-university-college-london-and-geospatial-training-solutions This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data. Participants will acquire essential skills to conduct sophisticated spatial analyses and produce complex maps, significantly enhancing their research projects. 2025-03-04 21:00:00 UTC 2025-03-06 00:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

  • Multiple Imputation by Chained Equations (MICE) with Paola Zaninotto, Epidemiology & Public Health, University College London

    6 - 7 March 2025

    Multiple Imputation by Chained Equations (MICE) with Paola Zaninotto, Epidemiology & Public Health, University College London https://dresa.org.au/events/multiple-imputation-by-chained-equations-mice-with-paola-zaninotto-epidemiology-public-health-university-college-london This seminar provides a comprehensive introduction to Multiple Imputation by Chained Equations (MICE) in R, offering researchers advanced skills to effectively handle missing data using robust statistical techniques. Led by Dr. Paola Zaninotto from University College London, participants will gain proficiency in applying MICE across various research disciplines, enhancing data analysis and interpretation capabilities. 2025-03-06 21:00:00 UTC 2025-03-07 00:00:00 UTC Paola Zaninotto, Epidemiology & Public Health, University College London Instats info@instats.org [] [] [] open_to_all []

  • Hypernetworks in Theory and Practice with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University

    10 - 13 March 2025

    Hypernetworks in Theory and Practice with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University https://dresa.org.au/events/hypernetworks-in-theory-and-practice-with-moses-boudourides-data-science-graduate-program-school-of-professional-studies-northwestern-university This four-day seminar on hypernetworks provides a comprehensive exploration of both fundamental and advanced concepts, emphasizing their application in analyzing complex systems across various domains. Led by professor Moses Boudourides, participants will gain hands-on experience with Python tools to effectively model and interpret multi-dimensional interactions, enhancing their research capabilities and analytical skills. 2025-03-10 04:00:46 UTC 2025-03-13 10:00:46 UTC Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University Instats info@instats.org [] [] [] open_to_all []

  • Hypernetworks in Theory and Practice with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University

    10 - 13 March 2025

    Hypernetworks in Theory and Practice with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University https://dresa.org.au/events/hypernetworks-in-theory-and-practice-with-moses-boudourides-data-science-graduate-program-school-of-professional-studies-northwestern-university-aaa2b49c-cb67-4f7a-9b2f-1470e15fa4a5 This four-day seminar on hypernetworks provides a comprehensive exploration of both fundamental and advanced concepts, emphasizing their application in analyzing complex systems across various domains. Led by professor Moses Boudourides, participants will gain hands-on experience with Python tools to effectively model and interpret multi-dimensional interactions, enhancing their research capabilities and analytical skills. 2025-03-10 04:00:46 UTC 2025-03-13 06:00:00 UTC Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University Instats info@instats.org [] [] [] open_to_all []

  • Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta

    11 - 13 March 2025

    Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta https://dresa.org.au/events/mixed-methods-research-strategies-for-dealing-with-complexity-with-cheryl-poth-faculty-of-education-university-of-alberta-63a1974b-04e2-4658-bf4d-6073389ab185 This 3-day seminar offers practical strategies for integrating qualitative and quantitative methods to address complex research questions. Participants will gain the skills needed to pursue mixed methods research under conditions of complexity, which requires new research approaches. Adopting a complexity lens promotes a view of how we see, understand, and influence mixed methods research given nonlinearity and the principles of complexity science. The seminar covers ways of designing, executing, and disseminating mixed methods research to deal with complex phenomena. 2025-03-11 02:00:00 UTC 2025-03-13 04:30:00 UTC Cheryl Poth, Faculty of Education, University of Alberta Instats info@instats.org [] [] [] open_to_all []

  • Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta

    11 - 13 March 2025

    Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta https://dresa.org.au/events/mixed-methods-research-strategies-for-dealing-with-complexity-with-cheryl-poth-faculty-of-education-university-of-alberta This 3-day seminar offers practical strategies for integrating qualitative and quantitative methods to address complex research questions. Participants will gain the skills needed to pursue mixed methods research under conditions of complexity, which requires new research approaches. Adopting a complexity lens promotes a view of how we see, understand, and influence mixed methods research given nonlinearity and the principles of complexity science. The seminar covers ways of designing, executing, and disseminating mixed methods research to deal with complex phenomena. 2025-03-11 02:00:00 UTC 2025-03-13 04:30:00 UTC Cheryl Poth, Faculty of Education, University of Alberta Instats info@instats.org [] [] [] open_to_all []

  • Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    11 - 14 March 2025

    Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/nonlinear-time-series-analysis-part-i-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs-060b36ce-242c-448b-8b5a-6b8f0b42e5e1 This intensive four-day workshop provides a comprehensive introduction to nonlinear time series analysis, focusing on state space reconstruction and identifying evidence of nonlinear dynamics, using the R software. Participants will develop skills to manipulate, visualize, and create nonlinear models of time series data, enhancing their research in any field that works with time series data. 2025-03-11 03:00:00 UTC 2025-03-14 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []

  • Searching for Systematic Reviews: Advanced Design Methods with Julie Glanville, Glanville.info

    12 - 14 March 2025

    Searching for Systematic Reviews: Advanced Design Methods with Julie Glanville, Glanville.info https://dresa.org.au/events/searching-for-systematic-reviews-advanced-design-methods-with-julie-glanville-glanville-info This training event looks at advanced methods for search strategy design for systematic reviews and other evidence syntheses. Participants will learn how to structure and build search strategies using a range of techniques and for a range of review questions, as well as the principles of peer reviewing search strategies. An official Instats certificate of completion and 1 ECTS equivalent point are provided at the conclusion of the training. 2025-03-12 02:00:00 UTC 2025-03-14 05:00:00 UTC Julie Glanville, Glanville.info Instats info@instats.org [] [] [] open_to_all []

  • Searching for Systematic Reviews: Selecting and Searching Databases with Julie Glanville, Glanville.info

    19 - 21 March 2025

    Searching for Systematic Reviews: Selecting and Searching Databases with Julie Glanville, Glanville.info https://dresa.org.au/events/searching-for-systematic-reviews-selecting-and-searching-databases-with-julie-glanville-glanville-info [color=rgb(55, 53, 47)]This training event looks at the range of resources that could be searched when undertaking systematic reviews and other evidence syntheses in healthcare. Participants will learn about key features and advantages of specific databases (and key interfaces) as well as other resources and issues such as search translation.[/color] 2025-03-19 02:00:00 UTC 2025-03-21 05:00:00 UTC Julie Glanville, Glanville.info Instats info@instats.org [] [] [] open_to_all []

  • Analyses Multivariées avec SPSS with SMCS, Université Catholique de Louvain

    20 March - 2 April 2025

    Analyses Multivariées avec SPSS with SMCS, Université Catholique de Louvain https://dresa.org.au/events/analyses-multivariees-avec-spss-with-smcs-universite-catholique-de-louvain Cet atelier intensif de deux jours offre une formation approfondie sur les techniques d'analyse multivariée avec SPSS, largement utilisée dans les domaines académiques et professionnels. Destiné aux doctorants, professeurs et chercheurs, il couvre des méthodes telles que l'analyse en composantes principales, l'analyse factorielle, l'analyse de cluster, l'analyse discriminante et plus encore, pour améliorer la précision et la rigueur des recherches. Un certificat officiel de fin de stage est délivré à la fin de l'atelier, offrant 0.5 point équivalent ECTS pour les étudiants européens. 2025-03-20 23:30:00 UTC 2025-04-02 01:00:00 UTC SMCS, Université Catholique de Louvain Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Dyadic Data Analysis with Michael Fitzgerald, Dept. of Human Development and Family Science, Oklahoma State University

    21 - 23 March 2025

    Introduction to Dyadic Data Analysis with Michael Fitzgerald, Dept. of Human Development and Family Science, Oklahoma State University https://dresa.org.au/events/introduction-to-dyadic-data-analysis-with-michael-fitzgerald-dept-of-human-development-and-family-science-oklahoma-state-university This comprehensive three-day workshop delves into dyadic data analysis using Mplus, equipping participants with the skills to analyze paired interactions and complex relational dynamics in the social sciences. Participants will learn to apply advanced statistical techniques, including dyadic measurement invariance, actor-partner interdependence models, common fate model, and hybrid models to enhance their research capabilities and gain proficiency in managing and interpreting dyadic data. 2025-03-21 02:00:00 UTC 2025-03-23 08:30:00 UTC Michael Fitzgerald, Dept. of Human Development and Family Science, Oklahoma State University Instats info@instats.org [] [] [] open_to_all []

  • Stable Isotope Mixing Models in R with Andrew Jackson, School of Natural Sciences, Trinity College Dublin

    23 - 26 March 2025

    Stable Isotope Mixing Models in R with Andrew Jackson, School of Natural Sciences, Trinity College Dublin https://dresa.org.au/events/stable-isotope-mixing-models-in-r-with-andrew-jackson-school-of-natural-sciences-trinity-college-dublin This four-day seminar provides an intensive exploration of Stable Isotope Mixing Models (SIMMs), equipping participants with practical skills for analyzing ecological data using advanced R tools like SIBER, simmr, and MixSIAR. The workshop covers Bayesian modeling techniques, guiding researchers to proficiently apply and interpret SIMMs for robust ecological insights in real-world datasets. 2025-03-23 14:00:24 UTC 2025-03-26 20:00:25 UTC Andrew Jackson, School of Natural Sciences, Trinity College Dublin Instats info@instats.org [] [] [] open_to_all []

  • Using AI to Read Hidden Signals of Humans, Animals, and Plants with Peter Gloor, System Design and Management, Massachusetts Institute of Technology

    3 - 5 April 2025

    Using AI to Read Hidden Signals of Humans, Animals, and Plants with Peter Gloor, System Design and Management, Massachusetts Institute of Technology https://dresa.org.au/events/using-ai-to-read-hidden-signals-of-humans-animals-and-plants-with-peter-gloor-system-design-and-management-massachusetts-institute-of-technology This seminar explores the use of AI and machine learning to decode non-verbal communication in humans, animals, and plants, focusing on the concept of honest signals. Participants will gain hands-on experience with Python tools to analyze these signals, enhancing their research methodologies across diverse fields. 2025-04-03 23:00:00 UTC 2025-04-05 02:00:00 UTC Peter Gloor, System Design and Management, Massachusetts Institute of Technology Instats info@instats.org [] [] [] open_to_all []

  • Set-Theoretic Multi-Method Research: Combining QCA and Case Studies with Carsten Schneider, Department of Political Science, Central European University

    9 - 12 April 2025

    Set-Theoretic Multi-Method Research: Combining QCA and Case Studies with Carsten Schneider, Department of Political Science, Central European University https://dresa.org.au/events/set-theoretic-multi-method-research-combining-qca-and-case-studies-with-carsten-schneider-department-of-political-science-central-european-university This three-day seminar provides comprehensive training in Set-Theoretic Multi-Method Research (SMMR), integrating Qualitative Comparative Analysis (QCA) with detailed case studies to enhance participants' methodological capabilities for drawing descriptive and causal inference. Led by Carsten Schneider, a leading expert in the field, the workshop covers theoretical foundations, practical applications, and the use of R software for performing SMMR, equipping researchers across the social sciences with impactful skills for nuanced data analysis. 2025-04-09 18:00:00 UTC 2025-04-12 00:00:00 UTC Carsten Schneider, Department of Political Science, Central European University Instats info@instats.org [] [] [] open_to_all []

  • Using AI to Read Honest Signals of Humans, Animals, and Plants with Peter Gloor, System Design and Management, Massachusetts Institute of Technology

    11 - 12 April 2025

    Using AI to Read Honest Signals of Humans, Animals, and Plants with Peter Gloor, System Design and Management, Massachusetts Institute of Technology https://dresa.org.au/events/using-ai-to-read-honest-signals-of-humans-animals-and-plants-with-peter-gloor-system-design-and-management-massachusetts-institute-of-technology This seminar explores the use of AI and machine learning to decode non-verbal communication in humans, animals, and plants, focusing on the concept of honest signals. Participants will gain hands-on experience with Python tools to analyze these signals, enhancing their research methodologies across diverse fields. 2025-04-11 17:00:53 UTC 2025-04-12 23:00:53 UTC Peter Gloor, System Design and Management, Massachusetts Institute of Technology Instats info@instats.org [] [] [] open_to_all []

  • Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada

    22 February 2025

    Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada https://dresa.org.au/events/advanced-data-visualizations-in-r-free-seminar-with-statistical-society-of-canada This seminar introduces participants to creating aesthetic and informative visualizations using the R ggplot2 package and the Grammar of Graphics framework. The session covers foundational concepts, advanced customization techniques (e.g., scales, faceting, themes), and specialized visualizations like heatmaps and Kaplan-Meier curves, with interactive capabilities using plotly and an overview of Shiny. Via hands-on demonstrations, participants will gain practical skills to tailor visualizations for effective data storytelling and audience engagement. 2025-02-22 05:00:00 UTC 2025-02-22 07:00:00 UTC Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []

  • Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada

    22 February 2025

    Advanced Data Visualizations in R (Free Seminar) with Statistical Society of Canada https://dresa.org.au/events/advanced-data-visualizations-in-r-free-seminar-with-statistical-society-of-canada-169cdf95-4bf4-4333-8fe4-ef888da0da4a This seminar introduces participants to creating aesthetic and informative visualizations using the R ggplot2 package and the Grammar of Graphics framework. The session covers foundational concepts, advanced customization techniques (e.g., scales, faceting, themes), and specialized visualizations like heatmaps and Kaplan-Meier curves, with interactive capabilities using plotly and an overview of Shiny. Via hands-on demonstrations, participants will gain practical skills to tailor visualizations for effective data storytelling and audience engagement. 2025-02-22 05:00:00 UTC 2025-02-22 07:00:00 UTC Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []

  • How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz

    24 - 25 February 2025

    How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/how-to-publish-research-successfully-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This intensive seminar provides researchers in in the social sciences with essential strategies for successful academic publishing, covering topic selection, manuscript preparation, and navigating the peer-review process. Participants will acquire vital skills to enhance their publication success and professional growth, including considerations regarding the use of ChatGPT as a research and writing assistant. 2025-02-24 20:00:00 UTC 2025-02-25 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []

  • Statistical Methods for Adaptive Treatment Strategies with Erica Moodie, McGill University and Statistical Society of Canada

    25 February - 2 April 2025

    Statistical Methods for Adaptive Treatment Strategies with Erica Moodie, McGill University and Statistical Society of Canada https://dresa.org.au/events/statistical-methods-for-adaptive-treatment-strategies-with-erica-moodie-mcgill-university-and-statistical-society-of-canada This one-day workshop provides an introduction to statistical methods for adaptive treatment strategies, crucial for advancing personalized medicine. Participants will learn about single-stage and multi-stage analyses, and be equipped with skills to enhance clinical decision-making and research outcomes in their own work. 2025-02-25 02:00:00 UTC 2025-04-02 04:30:00 UTC Erica Moodie, McGill University and Statistical Society of Canada Instats info@instats.org [] [] [] open_to_all []

  • Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    25 - 28 February 2025

    Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/nonlinear-time-series-analysis-part-i-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs This intensive four-day workshop provides a comprehensive introduction to nonlinear time series analysis, focusing on state space reconstruction and identifying evidence of nonlinear dynamics, using the R software. Participants will develop skills to manipulate, visualize, and create nonlinear models of time series data, enhancing their research in any field that works with time series data. 2025-02-25 03:00:00 UTC 2025-02-28 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []

  • Using ChatGPT for Advanced Data Analysis 4.0 [US] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    25 - 27 February 2025

    Using ChatGPT for Advanced Data Analysis 4.0 [US] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-4-0-us-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and model and on assessing the output. The course also reflects on implications of AI for data analysis and the academic research process more generally. 2025-02-25 04:00:00 UTC 2025-02-27 08:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []

  • Ethical Practices in Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    25 - 26 February 2025

    Ethical Practices in Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/ethical-practices-in-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop focuses on the ethical practices essential for conducting qualitative research, emphasizing interaction with vulnerable populations, participant protection, and community engagement. Led by Corinne Seals, it provides researchers with ethical frameworks and practical skills to ensure their studies are socially responsible and impactful, particularly in complex field settings. 2025-02-25 09:00:00 UTC 2025-02-26 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []

  • Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University

    26 - 27 February 2025

    Linear and Nonlinear Dimensionality Reduction with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/linear-and-nonlinear-dimensionality-reduction-with-nikolay-oskolkov-molecular-biosciences-lund-university This seminar provides a comprehensive overview of dimension reduction techniques in R and Python for high-dimensional complex datasets, focusing on their practical applications. Participants will gain theoretical knowledge and practical experience in linear and nonlinear methods such as PCA, tSNE and UMAP. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their own research problems. 2025-02-26 19:00:00 UTC 2025-02-27 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []

  • Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics

    27 February - 6 March 2025

    Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics https://dresa.org.au/events/causal-inference-with-propensity-scores-and-beyond-with-elizabeth-stuart-department-of-biostatistics This intensive workshop provides a comprehensive exploration of causal inference techniques, focusing on the use of propensity scores and advanced methodologies to derive robust conclusions in research across diverse fields. Led by Professor Elizabeth Stuart, participants will gain practical skills in applying these methods using R, enhancing their analytical capabilities and improving the credibility of their research findings. 2025-02-27 05:30:00 UTC 2025-03-06 08:00:00 UTC Elizabeth Stuart, Department of Biostatistics Instats info@instats.org [] [] [] open_to_all []

  • Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics

    27 February - 6 March 2025

    Causal Inference with Propensity Scores and Beyond with Elizabeth Stuart, Department of Biostatistics https://dresa.org.au/events/causal-inference-with-propensity-scores-and-beyond-with-elizabeth-stuart-department-of-biostatistics-729bcc88-a109-41fd-a8fb-9d7a65d06745 This intensive workshop provides a comprehensive exploration of causal inference techniques, focusing on the use of propensity scores and advanced methodologies to derive robust conclusions in research across diverse fields. Led by Professor Elizabeth Stuart, participants will gain practical skills in applying these methods using R, enhancing their analytical capabilities and improving the credibility of their research findings. 2025-02-27 06:00:00 UTC 2025-03-06 08:30:00 UTC Elizabeth Stuart, Department of Biostatistics Instats info@instats.org [] [] [] open_to_all []

  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy-be45d228-aeec-440c-a2cd-b1de5ffbd63a This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University

    3 - 6 March 2025

    Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University https://dresa.org.au/events/successful-qualitative-research-with-david-silverman-goldsmiths-university-of-london-king-s-college-london-university-of-technology-sydney-leeds-university This three-day workshop, led by renowned scholar David Silverman, provides an immersive experience in mastering qualitative research methodologies critical for understanding complex social phenomena. Participants will enhance their ability to design robust qualitative studies, effectively analyze and interpret data, and create compelling narratives, all while navigating ethical considerations and exploring strategies for impactful research dissemination. 2025-03-03 21:00:00 UTC 2025-03-06 00:00:00 UTC David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University Instats info@instats.org [] [] [] open_to_all []

  • Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University

    3 - 6 March 2025

    Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University https://dresa.org.au/events/successful-qualitative-research-with-david-silverman-goldsmiths-university-of-london-king-s-college-london-university-of-technology-sydney-leeds-university-307fac71-e49a-49f9-8d04-600c4845e909 This three-day workshop, led by renowned scholar David Silverman, provides an immersive experience in mastering qualitative research methodologies critical for understanding complex social phenomena. Participants will enhance their ability to design robust qualitative studies, effectively analyze and interpret data, and create compelling narratives, all while navigating ethical considerations and exploring strategies for impactful research dissemination. 2025-03-03 21:00:00 UTC 2025-03-06 00:30:00 UTC David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds 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 March 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-40eeef04-4a3d-4300-bcf3-33d6c149a170 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. 2025-03-03 21:00:00 UTC 2025-03-05 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 []

  • Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions

    4 - 6 March 2025

    Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/introduction-to-spatial-data-and-r-as-a-gis-with-nick-bearman-university-college-london-and-geospatial-training-solutions This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data. Participants will acquire essential skills to conduct sophisticated spatial analyses and produce complex maps, significantly enhancing their research projects. 2025-03-04 21:00:00 UTC 2025-03-06 00:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

  • Multiple Imputation by Chained Equations (MICE) with Paola Zaninotto, Epidemiology & Public Health, University College London

    6 - 7 March 2025

    Multiple Imputation by Chained Equations (MICE) with Paola Zaninotto, Epidemiology & Public Health, University College London https://dresa.org.au/events/multiple-imputation-by-chained-equations-mice-with-paola-zaninotto-epidemiology-public-health-university-college-london This seminar provides a comprehensive introduction to Multiple Imputation by Chained Equations (MICE) in R, offering researchers advanced skills to effectively handle missing data using robust statistical techniques. Led by Dr. Paola Zaninotto from University College London, participants will gain proficiency in applying MICE across various research disciplines, enhancing data analysis and interpretation capabilities. 2025-03-06 21:00:00 UTC 2025-03-07 00:00:00 UTC Paola Zaninotto, Epidemiology & Public Health, University College London Instats info@instats.org [] [] [] open_to_all []

  • Hypernetworks in Theory and Practice with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University

    10 - 13 March 2025

    Hypernetworks in Theory and Practice with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University https://dresa.org.au/events/hypernetworks-in-theory-and-practice-with-moses-boudourides-data-science-graduate-program-school-of-professional-studies-northwestern-university This four-day seminar on hypernetworks provides a comprehensive exploration of both fundamental and advanced concepts, emphasizing their application in analyzing complex systems across various domains. Led by professor Moses Boudourides, participants will gain hands-on experience with Python tools to effectively model and interpret multi-dimensional interactions, enhancing their research capabilities and analytical skills. 2025-03-10 04:00:46 UTC 2025-03-13 10:00:46 UTC Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University Instats info@instats.org [] [] [] open_to_all []

  • Hypernetworks in Theory and Practice with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University

    10 - 13 March 2025

    Hypernetworks in Theory and Practice with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University https://dresa.org.au/events/hypernetworks-in-theory-and-practice-with-moses-boudourides-data-science-graduate-program-school-of-professional-studies-northwestern-university-aaa2b49c-cb67-4f7a-9b2f-1470e15fa4a5 This four-day seminar on hypernetworks provides a comprehensive exploration of both fundamental and advanced concepts, emphasizing their application in analyzing complex systems across various domains. Led by professor Moses Boudourides, participants will gain hands-on experience with Python tools to effectively model and interpret multi-dimensional interactions, enhancing their research capabilities and analytical skills. 2025-03-10 04:00:46 UTC 2025-03-13 06:00:00 UTC Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University Instats info@instats.org [] [] [] open_to_all []

  • Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta

    11 - 13 March 2025

    Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta https://dresa.org.au/events/mixed-methods-research-strategies-for-dealing-with-complexity-with-cheryl-poth-faculty-of-education-university-of-alberta-63a1974b-04e2-4658-bf4d-6073389ab185 This 3-day seminar offers practical strategies for integrating qualitative and quantitative methods to address complex research questions. Participants will gain the skills needed to pursue mixed methods research under conditions of complexity, which requires new research approaches. Adopting a complexity lens promotes a view of how we see, understand, and influence mixed methods research given nonlinearity and the principles of complexity science. The seminar covers ways of designing, executing, and disseminating mixed methods research to deal with complex phenomena. 2025-03-11 02:00:00 UTC 2025-03-13 04:30:00 UTC Cheryl Poth, Faculty of Education, University of Alberta Instats info@instats.org [] [] [] open_to_all []

  • Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta

    11 - 13 March 2025

    Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta https://dresa.org.au/events/mixed-methods-research-strategies-for-dealing-with-complexity-with-cheryl-poth-faculty-of-education-university-of-alberta This 3-day seminar offers practical strategies for integrating qualitative and quantitative methods to address complex research questions. Participants will gain the skills needed to pursue mixed methods research under conditions of complexity, which requires new research approaches. Adopting a complexity lens promotes a view of how we see, understand, and influence mixed methods research given nonlinearity and the principles of complexity science. The seminar covers ways of designing, executing, and disseminating mixed methods research to deal with complex phenomena. 2025-03-11 02:00:00 UTC 2025-03-13 04:30:00 UTC Cheryl Poth, Faculty of Education, University of Alberta Instats info@instats.org [] [] [] open_to_all []

  • Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    11 - 14 March 2025

    Nonlinear Time Series Analysis (Part I) with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs https://dresa.org.au/events/nonlinear-time-series-analysis-part-i-with-bernard-ricca-lyda-hill-institute-for-human-resilience-university-of-colorado-colorado-springs-060b36ce-242c-448b-8b5a-6b8f0b42e5e1 This intensive four-day workshop provides a comprehensive introduction to nonlinear time series analysis, focusing on state space reconstruction and identifying evidence of nonlinear dynamics, using the R software. Participants will develop skills to manipulate, visualize, and create nonlinear models of time series data, enhancing their research in any field that works with time series data. 2025-03-11 03:00:00 UTC 2025-03-14 08:00:00 UTC Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs Instats info@instats.org [] [] [] open_to_all []

  • Searching for Systematic Reviews: Advanced Design Methods with Julie Glanville, Glanville.info

    12 - 14 March 2025

    Searching for Systematic Reviews: Advanced Design Methods with Julie Glanville, Glanville.info https://dresa.org.au/events/searching-for-systematic-reviews-advanced-design-methods-with-julie-glanville-glanville-info This training event looks at advanced methods for search strategy design for systematic reviews and other evidence syntheses. Participants will learn how to structure and build search strategies using a range of techniques and for a range of review questions, as well as the principles of peer reviewing search strategies. An official Instats certificate of completion and 1 ECTS equivalent point are provided at the conclusion of the training. 2025-03-12 02:00:00 UTC 2025-03-14 05:00:00 UTC Julie Glanville, Glanville.info Instats info@instats.org [] [] [] open_to_all []

  • Searching for Systematic Reviews: Selecting and Searching Databases with Julie Glanville, Glanville.info

    19 - 21 March 2025

    Searching for Systematic Reviews: Selecting and Searching Databases with Julie Glanville, Glanville.info https://dresa.org.au/events/searching-for-systematic-reviews-selecting-and-searching-databases-with-julie-glanville-glanville-info [color=rgb(55, 53, 47)]This training event looks at the range of resources that could be searched when undertaking systematic reviews and other evidence syntheses in healthcare. Participants will learn about key features and advantages of specific databases (and key interfaces) as well as other resources and issues such as search translation.[/color] 2025-03-19 02:00:00 UTC 2025-03-21 05:00:00 UTC Julie Glanville, Glanville.info Instats info@instats.org [] [] [] open_to_all []

  • Analyses Multivariées avec SPSS with SMCS, Université Catholique de Louvain

    20 March - 2 April 2025

    Analyses Multivariées avec SPSS with SMCS, Université Catholique de Louvain https://dresa.org.au/events/analyses-multivariees-avec-spss-with-smcs-universite-catholique-de-louvain Cet atelier intensif de deux jours offre une formation approfondie sur les techniques d'analyse multivariée avec SPSS, largement utilisée dans les domaines académiques et professionnels. Destiné aux doctorants, professeurs et chercheurs, il couvre des méthodes telles que l'analyse en composantes principales, l'analyse factorielle, l'analyse de cluster, l'analyse discriminante et plus encore, pour améliorer la précision et la rigueur des recherches. Un certificat officiel de fin de stage est délivré à la fin de l'atelier, offrant 0.5 point équivalent ECTS pour les étudiants européens. 2025-03-20 23:30:00 UTC 2025-04-02 01:00:00 UTC SMCS, Université Catholique de Louvain Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Dyadic Data Analysis with Michael Fitzgerald, Dept. of Human Development and Family Science, Oklahoma State University

    21 - 23 March 2025

    Introduction to Dyadic Data Analysis with Michael Fitzgerald, Dept. of Human Development and Family Science, Oklahoma State University https://dresa.org.au/events/introduction-to-dyadic-data-analysis-with-michael-fitzgerald-dept-of-human-development-and-family-science-oklahoma-state-university This comprehensive three-day workshop delves into dyadic data analysis using Mplus, equipping participants with the skills to analyze paired interactions and complex relational dynamics in the social sciences. Participants will learn to apply advanced statistical techniques, including dyadic measurement invariance, actor-partner interdependence models, common fate model, and hybrid models to enhance their research capabilities and gain proficiency in managing and interpreting dyadic data. 2025-03-21 02:00:00 UTC 2025-03-23 08:30:00 UTC Michael Fitzgerald, Dept. of Human Development and Family Science, Oklahoma State University Instats info@instats.org [] [] [] open_to_all []

  • Stable Isotope Mixing Models in R with Andrew Jackson, School of Natural Sciences, Trinity College Dublin

    23 - 26 March 2025

    Stable Isotope Mixing Models in R with Andrew Jackson, School of Natural Sciences, Trinity College Dublin https://dresa.org.au/events/stable-isotope-mixing-models-in-r-with-andrew-jackson-school-of-natural-sciences-trinity-college-dublin This four-day seminar provides an intensive exploration of Stable Isotope Mixing Models (SIMMs), equipping participants with practical skills for analyzing ecological data using advanced R tools like SIBER, simmr, and MixSIAR. The workshop covers Bayesian modeling techniques, guiding researchers to proficiently apply and interpret SIMMs for robust ecological insights in real-world datasets. 2025-03-23 14:00:24 UTC 2025-03-26 20:00:25 UTC Andrew Jackson, School of Natural Sciences, Trinity College Dublin Instats info@instats.org [] [] [] open_to_all []

  • Using AI to Read Hidden Signals of Humans, Animals, and Plants with Peter Gloor, System Design and Management, Massachusetts Institute of Technology

    3 - 5 April 2025

    Using AI to Read Hidden Signals of Humans, Animals, and Plants with Peter Gloor, System Design and Management, Massachusetts Institute of Technology https://dresa.org.au/events/using-ai-to-read-hidden-signals-of-humans-animals-and-plants-with-peter-gloor-system-design-and-management-massachusetts-institute-of-technology This seminar explores the use of AI and machine learning to decode non-verbal communication in humans, animals, and plants, focusing on the concept of honest signals. Participants will gain hands-on experience with Python tools to analyze these signals, enhancing their research methodologies across diverse fields. 2025-04-03 23:00:00 UTC 2025-04-05 02:00:00 UTC Peter Gloor, System Design and Management, Massachusetts Institute of Technology Instats info@instats.org [] [] [] open_to_all []

  • Set-Theoretic Multi-Method Research: Combining QCA and Case Studies with Carsten Schneider, Department of Political Science, Central European University

    9 - 12 April 2025

    Set-Theoretic Multi-Method Research: Combining QCA and Case Studies with Carsten Schneider, Department of Political Science, Central European University https://dresa.org.au/events/set-theoretic-multi-method-research-combining-qca-and-case-studies-with-carsten-schneider-department-of-political-science-central-european-university This three-day seminar provides comprehensive training in Set-Theoretic Multi-Method Research (SMMR), integrating Qualitative Comparative Analysis (QCA) with detailed case studies to enhance participants' methodological capabilities for drawing descriptive and causal inference. Led by Carsten Schneider, a leading expert in the field, the workshop covers theoretical foundations, practical applications, and the use of R software for performing SMMR, equipping researchers across the social sciences with impactful skills for nuanced data analysis. 2025-04-09 18:00:00 UTC 2025-04-12 00:00:00 UTC Carsten Schneider, Department of Political Science, Central European University Instats info@instats.org [] [] [] open_to_all []

  • Using AI to Read Honest Signals of Humans, Animals, and Plants with Peter Gloor, System Design and Management, Massachusetts Institute of Technology

    11 - 12 April 2025

    Using AI to Read Honest Signals of Humans, Animals, and Plants with Peter Gloor, System Design and Management, Massachusetts Institute of Technology https://dresa.org.au/events/using-ai-to-read-honest-signals-of-humans-animals-and-plants-with-peter-gloor-system-design-and-management-massachusetts-institute-of-technology This seminar explores the use of AI and machine learning to decode non-verbal communication in humans, animals, and plants, focusing on the concept of honest signals. Participants will gain hands-on experience with Python tools to analyze these signals, enhancing their research methodologies across diverse fields. 2025-04-11 17:00:53 UTC 2025-04-12 23:00:53 UTC Peter Gloor, System Design and Management, Massachusetts Institute of Technology Instats info@instats.org [] [] [] open_to_all []

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