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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
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  • 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 []

  • 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 []

  • 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 []

  • 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 []

  • Introduction to Nonlinear Dynamical Systems and Analysis with Bernard Ricca, Lyda Hill Institute for Human Resilience, University of Colorado, Colorado Springs

    14 - 15 January 2025

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

  • 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 []

  • Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne

    12 - 13 December 2024

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

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

    13 - 18 January 2025

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

  • Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science

    16 January - 13 February 2025

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

  • 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 []

  • Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

    16 - 17 January 2025

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

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

    21 - 22 January 2025

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

  • 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 []

  • Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    18 December 2024

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

  • 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 []

  • Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina

    8 - 11 January 2025

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

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

    14 - 17 January 2025

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

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

    14 - 15 January 2025

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

  • 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 []

  • Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna

    15 - 19 January 2025

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

  • 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 []

  • 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 []