1. Home
  2. Content providers
  3. Instats
Back

Instats

Contact: info@instats.org

Instats is a mission-driven organization devoted to improving research practices across the globe. Instats does this by facilitating expert-led training for PhD and post-PhD researchers across a broad range of fields, methods, and theoretical orientations through the Instats platform.

Instats is seeking partners who share the vision of supporting and improving multidisciplinary research. To do this, individual and institutional partnerships are central to our ethos, and we reflect this in our approach to these partnerships. We work with each partner to offer their content in a way that meets their knowledge community’s interests and needs. Instats helps partners offer their content and expertise by freely providing a full service, technologically sophisticated, easy-to-use platform for delivering seminars and workshops, as well as connecting with the research community more broadly through free community forums, social networking, Q&A boards, and job postings.

Instats https://dresa.org.au/content_providers/instats Instats is a mission-driven organization devoted to improving research practices across the globe. Instats does this by facilitating expert-led training for PhD and post-PhD researchers across a broad range of fields, methods, and theoretical orientations through the Instats platform. Instats is seeking partners who share the vision of supporting and improving multidisciplinary research. To do this, individual and institutional partnerships are central to our ethos, and we reflect this in our approach to these partnerships. We work with each partner to offer their content in a way that meets their knowledge community’s interests and needs. Instats helps partners offer their content and expertise by freely providing a full service, technologically sophisticated, easy-to-use platform for delivering seminars and workshops, as well as connecting with the research community more broadly through free community forums, social networking, Q&A boards, and job postings. /system/content_providers/images/000/000/042/original/instats_logo.jpg?1730854514
Found 0 material.
Showing 30 upcoming event out of 57. Found 27 past event. View all results.

  • Introduction to SPSS with Centre for Applied Statistics Courses (CASC), University College London

    24 - 25 January 2025

    Introduction to SPSS with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-spss-with-centre-for-applied-statistics-courses-casc-university-college-london This one-day seminar provides a comprehensive introduction to SPSS, equipping researchers with essential skills for data analysis, including data management, statistical testing, and result presentation. Participants will gain practical experience and insights needed to confidently apply SPSS to enhance the rigor and impact of their academic work. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-24 20:30:00 UTC 2025-01-25 04:00:00 UTC Centre for Applied Statistics Courses (CASC), 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 []

  • Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    11 - 12 February 2025

    Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-bc5f7852-fcd6-41b2-a59d-ec12a1bfe259 This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. The seminar includes practical exercises, a Q&A session, and post-seminar support, offering participants a deep understanding of dose-response functions and their application in various research fields. An official Instats certificate of completion is provided along with 1 ECTS equivalent points. 2025-02-11 22:00:00 UTC 2025-02-12 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Regression Analysis with Centre for Applied Statistics Courses (CASC), University College London

    21 - 24 January 2025

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

  • 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 []

  • Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University

    14 - 15 February 2025

    Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University https://dresa.org.au/events/pre-analysis-phases-of-systematic-reviews-and-meta-analysis-with-carlton-fong-department-of-curriculum-and-instruction-texas-state-university This two-day workshop focuses on the essential pre-analysis phases of systematic reviews and meta-analyses, equipping participants with the skills needed to develop precise research questions, design effective search strategies, and apply rigorous screening criteria. Attendees will gain practical tools and techniques for robust study inclusion, ultimately enhancing the quality and impact of their research outputs. 2025-02-14 03:00:00 UTC 2025-02-15 08:00:00 UTC Carlton Fong, Department of Curriculum and Instruction, Texas State University Instats info@instats.org [] [] [] open_to_all []

  • Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London

    12 - 14 February 2025

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

  • 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 []

  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

    Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/developing-r-packages-and-cran-publishing-with-fodil-ihaddaden-institute-for-statistical-and-data-science-ce1b48a4-17d2-4ec9-af57-c9a0158a5e46 This seminar provides an introduction to R package development, emphasizing best practices and common pitfalls to avoid. Participants will gain practical skills for creating efficient and reliable R packages, including publishing on CRAN, enhancing their research capabilities and expanding their contributions to the scientific community. 2025-01-24 00:00:00 UTC 2025-01-25 06:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

  • Thematic Analysis Using NVivo with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    23 - 24 January 2025

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

  • Conducting Interviews for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    5 - 6 February 2025

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

  • 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 []

  • 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 []

  • 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 []

  • 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 []

  • 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 []

  • 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 []

  • Sample Size Estimation and Power Calculations with Excel with Centre for Applied Statistics Courses (CASC), University College London

    28 - 29 January 2025

    Sample Size Estimation and Power Calculations with Excel with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/sample-size-estimation-and-power-calculations-with-excel-with-centre-for-applied-statistics-courses-casc-university-college-london This one-day workshop provides a comprehensive introduction to sample size estimation and power calculations, essential for designing statistically sound research studies across various fields. Participants will gain practical skills in applying these techniques using Excel, enhancing their ability to produce credible and methodologically robust research outcomes. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-28 20:30:00 UTC 2025-01-29 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Dealing with Missing Data with Centre for Applied Statistics Courses (CASC), University College London

    5 - 8 February 2025

    Introduction to Dealing with Missing Data with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-dealing-with-missing-data-with-centre-for-applied-statistics-courses-casc-university-college-london This seminar provides a comprehensive introduction to dealing with missing data in research, covering essential concepts such as the types and reasons behind missing data, and effective/popular methods for addressing these issues, including multiple imputation and listwise deletion. Participants will enhance their analytical skills through a combination of theoretical knowledge and practical application, improving the credibility and reliability of their research findings. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-02-05 20:30:00 UTC 2025-02-08 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Social Network Analysis with Ran Xu, Department of Allied Health Sciences, University of Connecticut

    18 January 2025

    Introduction to Social Network Analysis with Ran Xu, Department of Allied Health Sciences, University of Connecticut https://dresa.org.au/events/introduction-to-social-network-analysis-with-ran-xu-department-of-allied-health-sciences-university-of-connecticut This seminar provides a comprehensive introduction to social network analysis (SNA), equipping researchers in social sciences, population health science, and systems science with essential tools to examine relationships and behaviors in varied contexts, including mHealth and social media. Attendees will gain practical expertise in network theory, data analysis, visualization methods, and real-world applications of SNA, with the seminar culminating in an official Instats certificate of completion, offering 2 ECTS Equivalent points for European PhD students. 2025-01-18 02:00:00 UTC 2025-01-18 03:30:00 UTC Ran Xu, Department of Allied Health Sciences, University of Connecticut 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 []

  • Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University

    27 - 28 January 2025

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

  • 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 []

  • 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 []

  • 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 []

  • 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 []

  • Introduction to Survey Sampling with Tarek Al Baghal, Institute of Social and Economic Research, University of Essex

    21 - 22 January 2025

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

  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

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

  • 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 []

  • 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 []

  • Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete

    28 January 2025

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

  • Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc.

    28 - 31 January 2025

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

  • Advanced Ethnographic Methods with Niko Besnier, Department of Social Inquiry, La Trobe University

    29 - 31 January 2025

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

  • Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland

    12 - 14 February 2025

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

  • Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    29 - 31 January 2025

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

  • Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    3 - 5 February 2025

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

  • Machine Learning Essentials (Free Seminar) with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    6 February 2025

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

  • 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 []

  • Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz

    10 - 12 February 2025

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

  • 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 []

  • 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 []

  • Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    20 - 22 February 2025

    Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/machine-learning-and-ai-for-researchers-in-r-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using R. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net, and subset-selection models); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in R. 2025-02-20 22:00:00 UTC 2025-02-22 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • 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 []

  • Network Psychometrics: From Theory to Practice with Larry Price, College of Education and Department of Mathematics, Texas State University

    23 - 31 May 2025

    Network Psychometrics: From Theory to Practice with Larry Price, College of Education and Department of Mathematics, Texas State University https://dresa.org.au/events/network-psychometrics-from-theory-to-practice-with-larry-price-college-of-education-and-department-of-mathematics-texas-state-university This four-day workshop introduces participants to network psychometrics, a novel approach to understanding psychological constructs through network models. Attendees will learn to construct, analyze, and interpret psychological networks using R, gaining skills in network estimation, centrality measures, community detection, and more, with practical applications in various research fields. 2025-05-23 01:00:00 UTC 2025-05-31 06:00:00 UTC Larry Price, College of Education and Department of Mathematics, Texas State University Instats info@instats.org [] [] [] open_to_all []

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    27 - 29 January 2025

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

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    28 - 29 January 2025

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

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

    10 - 12 February 2025

    Using ChatGPT for Advanced Data Analysis 4.0 [Europe/Asia] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-4-0-europe-asia-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. 2025-02-10 19:00:00 UTC 2025-02-12 23:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana 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 []

  • 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 []

  • 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 []

  • 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 []

  • Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    11 February 2025

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

  • 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 []

  • 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 []

  • Supply Chain Analytics and Stock Market Intelligence with Yao Zhao, Rutgers Business School, Rutgers University

    16 April 2025

    Supply Chain Analytics and Stock Market Intelligence with Yao Zhao, Rutgers Business School, Rutgers University https://dresa.org.au/events/supply-chain-analytics-and-stock-market-intelligence-with-yao-zhao-rutgers-business-school-rutgers-university This seminar delves into the intersection of supply chain management and stock market intelligence, highlighting how data analytics can reveal the influence of supply chains on financial and stock market performance. Participants will acquire advanced techniques, data and tools to analyze these dynamics, enhancing their research capabilities and understanding the strategic implications for businesses and investors. 2025-04-16 04:00:00 UTC 2025-04-16 08:00:00 UTC Yao Zhao, Rutgers Business School, Rutgers 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 []

  • 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 []