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66 events found

Host institutions: Instats 

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Cost basis: Free for All  or Cost incurred by all 

  • Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem

    17 - 19 February 2025

    Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem https://dresa.org.au/events/collective-memory-in-organizations-current-theory-and-applications-with-micki-eisenman-the-hebrew-university-of-jerusalem This transformative 3-day workshop, led by esteemed scholar Micki Eisenman, delves into the intricate dynamics of organizational memory, exploring its impact on decision-making, strategy, and competitive advantage. Participants will gain comprehensive insights into theories and applications, enhancing their research capabilities and understanding of how to think about organizational memory as a strategic resource. 2025-02-17 18:00:00 UTC 2025-02-19 22:00:00 UTC Micki Eisenman, The Hebrew University of Jerusalem Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    18 February 2025

    Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-advanced-applications-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides an advanced exploration of AI-driven text analysis, focusing on the application and fine-tuning of open-source large language models to enhance research across various academic disciplines. Participants will gain practical skills in setting up local environments and employing sophisticated AI methodologies, empowering them to conduct independent and impactful text analysis while ensuring data security and privacy. 2025-02-18 10:00:00 UTC 2025-02-18 16:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen

    19 - 21 February 2025

    Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen https://dresa.org.au/events/longitudinal-social-network-analysis-with-tom-snijders-university-of-oxford-and-university-of-groningen This three-day workshop provides an introductory overview of longitudinal social network analysis using the RSiena package, focusing on the application of Stochastic Actor-oriented Models to study network dynamics as well as dynamics of networks and behavior. Participants will gain practical skills in modeling network panel data, as well as modeling co-evolution of networks and behavior, for application of these techniques across various academic disciplines. 2025-02-19 00:00:00 UTC 2025-02-21 08:00:00 UTC Tom Snijders, University of Oxford and University of Groningen Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    19 - 20 February 2025

    Using AI for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/using-ai-for-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day seminar delves into the integration of artificial intelligence tools like NVivo, ChatGPT, Perplexity, and HeyGen to transform qualitative research methodologies across various academic disciplines. Participants will learn to enhance their research capabilities by utilizing AI to generate innovative insights, create dynamic visual content, and critically evaluate AI-assisted data collection while considering ethical implications. 2025-02-19 09:00:00 UTC 2025-02-20 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington 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 []
  • 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 []
  • Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London

    25 - 26 February 2025

    Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-survival-and-time-to-event-data-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This course offers a complete introduction to survival analysis, also known as time-to-event data modeling. Key topics will be covered in-depth, including log-rank tests and Cox proportional hazard regression models to determine associations between predictors and event occurrence. An official Instats certificate of completion is provided along with 2 ECTS Equivalent points. 2025-02-25 20:30:00 UTC 2025-02-26 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London

    25 - 26 February 2025

    Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-survival-and-time-to-event-data-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london-2c100d31-1400-4e88-a02b-80a878e0ccc9 This course offers a complete introduction to survival analysis, also known as time-to-event data modeling. Key topics will be covered in-depth, including log-rank tests and Cox proportional hazard regression models to determine associations between predictors and event occurrence. An official Instats certificate of completion is provided along with 2 ECTS Equivalent points. 2025-02-25 20:30:00 UTC 2025-02-26 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Qualitative Data Analysis with MAXQDA with MAXQDA

    26 February 2025

    Introduction to Qualitative Data Analysis with MAXQDA with MAXQDA https://dresa.org.au/events/introduction-to-qualitative-data-analysis-with-maxqda-with-maxqda This intensive one-hour workshop provides a comprehensive introduction to qualitative data analysis using MAXQDA, equipping participants with skills to manage, analyze, and synthesize qualitative data effectively. Attendees will learn to import, code, and interpret data through MAXQDA's versatile tools, including AI-assisted features. The workshop will showcase how to build a project from scretch, what are the fundational project elements and how to utilize them for a qualitative research process. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-02-26 02:00:00 UTC 2025-02-26 03:30:00 UTC MAXQDA Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Qualitative Data Analysis with MAXQDA (Free Seminar) with MAXQDA

    26 February 2025

    Introduction to Qualitative Data Analysis with MAXQDA (Free Seminar) with MAXQDA https://dresa.org.au/events/introduction-to-qualitative-data-analysis-with-maxqda-free-seminar-with-maxqda This intensive one-hour workshop provides a comprehensive introduction to qualitative data analysis using MAXQDA, equipping participants with skills to manage, analyze, and synthesize qualitative data effectively. Attendees will learn to import, code, and interpret data through MAXQDA's versatile tools, including AI-assisted features. The workshop will showcase how to build a project from scretch, what are the fundational project elements and how to utilize them for a qualitative research process. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-02-26 02:00:00 UTC 2025-02-26 03:30:00 UTC MAXQDA 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 []
  • Analysing Survey Data with Weights and Complex Designs with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    28 February - 1 March 2025

    Analysing Survey Data with Weights and Complex Designs with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/analysing-survey-data-with-weights-and-complex-designs-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex This seminar provides a comprehensive introduction to analyzing survey data with weights and complex survey design, specifically focusing on handling stratification, clustering, and unequal selection probabilities using R. Participants will gain essential skills in applying statistical models and conducting data analyses, enhancing their capacity to produce methodologically robust research outcomes. 2025-02-28 00:00:00 UTC 2025-03-01 04:00:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning and AI in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning and AI in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-and-ai-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 []
  • 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 []
  • Beyond ChatGPT: Using AI to Enhance Research Workflows with Piers Steel, Haskayne School of Business, University of Calgary

    6 March 2025

    Beyond ChatGPT: Using AI to Enhance Research Workflows with Piers Steel, Haskayne School of Business, University of Calgary https://dresa.org.au/events/beyond-chatgpt-using-ai-to-enhance-research-workflows-with-piers-steel-haskayne-school-of-business-university-of-calgary This one-day workshop equips PhD students and researchers with practical skills to integrate AI tools into their academic work effectively and ethically. Participants will gain hands-on experience with large language models, learning to enhance research quality and efficiency while navigating ethical considerations and leveraging AI for literature reviews, data analysis, and more. 2025-03-06 04:00:00 UTC 2025-03-06 09:00:00 UTC Piers Steel, Haskayne School of Business, University of Calgary 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 []
  • 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 []
  • Introduction to R for Reproducible Research with QCIF

    12 - 13 March 2025

    Introduction to R for Reproducible Research with QCIF https://dresa.org.au/events/introduction-to-r-for-reproducible-research-with-qcif This two-day seminar will provide a structured introduction to R for reproducible research and data analysis. You will learn best practices in project management, data wrangling, visualisation, and reproducible reporting, key skills for handling research data efficiently and transparently. 2025-03-12 10:00:00 UTC 2025-03-13 14:00:00 UTC QCIF Instats info@instats.org [] [] [] open_to_all []
  • Introduction to R for Reproducible Research with QCIF

    12 - 13 March 2025

    Introduction to R for Reproducible Research with QCIF https://dresa.org.au/events/introduction-to-r-for-reproducible-research-with-qcif-1276878a-6913-452f-a19e-d4bbd2811970 This two-day seminar will provide a structured introduction to R for reproducible research and data analysis. You will learn best practices in project management, data wrangling, visualisation, and reproducible reporting, key skills for handling research data efficiently and transparently. 2025-03-12 10:30:00 UTC 2025-03-13 14:30:00 UTC QCIF Instats info@instats.org [] [] [] open_to_all []
  • Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem

    17 - 19 February 2025

    Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem https://dresa.org.au/events/collective-memory-in-organizations-current-theory-and-applications-with-micki-eisenman-the-hebrew-university-of-jerusalem This transformative 3-day workshop, led by esteemed scholar Micki Eisenman, delves into the intricate dynamics of organizational memory, exploring its impact on decision-making, strategy, and competitive advantage. Participants will gain comprehensive insights into theories and applications, enhancing their research capabilities and understanding of how to think about organizational memory as a strategic resource. 2025-02-17 18:00:00 UTC 2025-02-19 22:00:00 UTC Micki Eisenman, The Hebrew University of Jerusalem Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    18 February 2025

    Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-advanced-applications-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides an advanced exploration of AI-driven text analysis, focusing on the application and fine-tuning of open-source large language models to enhance research across various academic disciplines. Participants will gain practical skills in setting up local environments and employing sophisticated AI methodologies, empowering them to conduct independent and impactful text analysis while ensuring data security and privacy. 2025-02-18 10:00:00 UTC 2025-02-18 16:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []
  • Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen

    19 - 21 February 2025

    Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen https://dresa.org.au/events/longitudinal-social-network-analysis-with-tom-snijders-university-of-oxford-and-university-of-groningen This three-day workshop provides an introductory overview of longitudinal social network analysis using the RSiena package, focusing on the application of Stochastic Actor-oriented Models to study network dynamics as well as dynamics of networks and behavior. Participants will gain practical skills in modeling network panel data, as well as modeling co-evolution of networks and behavior, for application of these techniques across various academic disciplines. 2025-02-19 00:00:00 UTC 2025-02-21 08:00:00 UTC Tom Snijders, University of Oxford and University of Groningen Instats info@instats.org [] [] [] open_to_all []
  • Using AI for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    19 - 20 February 2025

    Using AI for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/using-ai-for-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day seminar delves into the integration of artificial intelligence tools like NVivo, ChatGPT, Perplexity, and HeyGen to transform qualitative research methodologies across various academic disciplines. Participants will learn to enhance their research capabilities by utilizing AI to generate innovative insights, create dynamic visual content, and critically evaluate AI-assisted data collection while considering ethical implications. 2025-02-19 09:00:00 UTC 2025-02-20 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington 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 []
  • 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 []
  • Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London

    25 - 26 February 2025

    Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-survival-and-time-to-event-data-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This course offers a complete introduction to survival analysis, also known as time-to-event data modeling. Key topics will be covered in-depth, including log-rank tests and Cox proportional hazard regression models to determine associations between predictors and event occurrence. An official Instats certificate of completion is provided along with 2 ECTS Equivalent points. 2025-02-25 20:30:00 UTC 2025-02-26 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London

    25 - 26 February 2025

    Introduction to Survival and Time-to-Event Data Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-survival-and-time-to-event-data-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london-2c100d31-1400-4e88-a02b-80a878e0ccc9 This course offers a complete introduction to survival analysis, also known as time-to-event data modeling. Key topics will be covered in-depth, including log-rank tests and Cox proportional hazard regression models to determine associations between predictors and event occurrence. An official Instats certificate of completion is provided along with 2 ECTS Equivalent points. 2025-02-25 20:30:00 UTC 2025-02-26 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Qualitative Data Analysis with MAXQDA with MAXQDA

    26 February 2025

    Introduction to Qualitative Data Analysis with MAXQDA with MAXQDA https://dresa.org.au/events/introduction-to-qualitative-data-analysis-with-maxqda-with-maxqda This intensive one-hour workshop provides a comprehensive introduction to qualitative data analysis using MAXQDA, equipping participants with skills to manage, analyze, and synthesize qualitative data effectively. Attendees will learn to import, code, and interpret data through MAXQDA's versatile tools, including AI-assisted features. The workshop will showcase how to build a project from scretch, what are the fundational project elements and how to utilize them for a qualitative research process. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-02-26 02:00:00 UTC 2025-02-26 03:30:00 UTC MAXQDA Instats info@instats.org [] [] [] open_to_all []
  • Introduction to Qualitative Data Analysis with MAXQDA (Free Seminar) with MAXQDA

    26 February 2025

    Introduction to Qualitative Data Analysis with MAXQDA (Free Seminar) with MAXQDA https://dresa.org.au/events/introduction-to-qualitative-data-analysis-with-maxqda-free-seminar-with-maxqda This intensive one-hour workshop provides a comprehensive introduction to qualitative data analysis using MAXQDA, equipping participants with skills to manage, analyze, and synthesize qualitative data effectively. Attendees will learn to import, code, and interpret data through MAXQDA's versatile tools, including AI-assisted features. The workshop will showcase how to build a project from scretch, what are the fundational project elements and how to utilize them for a qualitative research process. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-02-26 02:00:00 UTC 2025-02-26 03:30:00 UTC MAXQDA 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 []
  • Analysing Survey Data with Weights and Complex Designs with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    28 February - 1 March 2025

    Analysing Survey Data with Weights and Complex Designs with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex https://dresa.org.au/events/analysing-survey-data-with-weights-and-complex-designs-with-tarek-al-baghal-institute-of-social-and-economic-research-university-of-essex This seminar provides a comprehensive introduction to analyzing survey data with weights and complex survey design, specifically focusing on handling stratification, clustering, and unequal selection probabilities using R. Participants will gain essential skills in applying statistical models and conducting data analyses, enhancing their capacity to produce methodologically robust research outcomes. 2025-02-28 00:00:00 UTC 2025-03-01 04:00:00 UTC Tarek Al Baghal, Institute of Social and Economic Research, University of Essex Instats info@instats.org [] [] [] open_to_all []
  • Machine Learning and AI in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning and AI in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-and-ai-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 []
  • 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 []
  • Beyond ChatGPT: Using AI to Enhance Research Workflows with Piers Steel, Haskayne School of Business, University of Calgary

    6 March 2025

    Beyond ChatGPT: Using AI to Enhance Research Workflows with Piers Steel, Haskayne School of Business, University of Calgary https://dresa.org.au/events/beyond-chatgpt-using-ai-to-enhance-research-workflows-with-piers-steel-haskayne-school-of-business-university-of-calgary This one-day workshop equips PhD students and researchers with practical skills to integrate AI tools into their academic work effectively and ethically. Participants will gain hands-on experience with large language models, learning to enhance research quality and efficiency while navigating ethical considerations and leveraging AI for literature reviews, data analysis, and more. 2025-03-06 04:00:00 UTC 2025-03-06 09:00:00 UTC Piers Steel, Haskayne School of Business, University of Calgary 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 []
  • 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 []
  • Introduction to R for Reproducible Research with QCIF

    12 - 13 March 2025

    Introduction to R for Reproducible Research with QCIF https://dresa.org.au/events/introduction-to-r-for-reproducible-research-with-qcif This two-day seminar will provide a structured introduction to R for reproducible research and data analysis. You will learn best practices in project management, data wrangling, visualisation, and reproducible reporting, key skills for handling research data efficiently and transparently. 2025-03-12 10:00:00 UTC 2025-03-13 14:00:00 UTC QCIF Instats info@instats.org [] [] [] open_to_all []
  • Introduction to R for Reproducible Research with QCIF

    12 - 13 March 2025

    Introduction to R for Reproducible Research with QCIF https://dresa.org.au/events/introduction-to-r-for-reproducible-research-with-qcif-1276878a-6913-452f-a19e-d4bbd2811970 This two-day seminar will provide a structured introduction to R for reproducible research and data analysis. You will learn best practices in project management, data wrangling, visualisation, and reproducible reporting, key skills for handling research data efficiently and transparently. 2025-03-12 10:30:00 UTC 2025-03-13 14:30:00 UTC QCIF Instats info@instats.org [] [] [] open_to_all []

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