Instats, renowned for their cutting-edge training in statistics and data science, is offering a series of dynamic and insightful livestreaming seminars. These sessions are designed to deepen our understanding and proficiency in key areas, complementing our ongoing mission to excel in research and academic pursuits.
As members of the CEAPP (JU is a part of this initative), you have an exclusive opportunity to participate in these seminars at a significantly reduced cost. Remember, by using your official university email address to register, you will automatically receive a 30% discount on all seminars.
Using ChatGPT for Automated Grant Writing with Piers Steel & Hadi Fariborzi - Livestreaming Dec 6 - Dec 8
Explore the power of AI-driven tools in this workshop, designed for researchers and PhD students seeking to improve the quality and quantity of their academic grant writing.
Introduction to Statistical Methods for Fundamental Science (Free 1-Hour Seminar) with Tommaso Dorigo - Livestreaming Dec 7 - Dec 7
In this introductory seminar, attendees will learn about the importance of correct statistical practice in the quantitative analysis of complex data with a few examples.
Estimating Dose-Response Functions in Stata with Giovanni Cerulli - Livestreaming Dec 11 - Dec 12
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).
Integration in Mixed Methods Research: Principles and Practices with Sergi Fabregues - Livestreaming Dec 12 - Dec 12
The integration of quantitative and qualitative components is the most challenging part of a mixed methods study, and therefore integration procedures and strategies are crucial for authors to obtain the maximum added value from their mixed methods studies.
Meta-Analysis and Systematic Reviews for the Social Sciences with Ernest O'Boyle - Livestreaming Dec 13 - Dec 15
This meta-analysis seminar will teach you how to confidently conduct a meta-analysis, from start to finish, in whatever substantive area interests you the most.
Machine Learning for Social and Health Sciences in R with Kevin Grimm - Livestreaming Dec 16 - Dec 19
This 4-day workshop, 'Introduction to Machine Learning with R', led by Kevin Grimm from Arizona State University, is designed to equip PhD students, professors, and professional researchers with the skills to apply machine learning techniques in their respective fields.
A Gentle Introduction to Artificial Intelligence with Ricardo Vilalta - Livestreaming Jan 12 - Jan 13
This workshop provides a comprehensive overview of AI, its applications, and its relevance in academic research, with discussions on ethical considerations and future trends in AI.
Statistical Methods for Fundamental Science with Tommaso Dorigo - Livestreaming Jan 16 - Feb 6
This comprehensive five-day workshop, taught by renowned CERN physicist Tommaso Dorigo, is designed to equip PhD students, professors, and professional researchers with the skills to apply statistical methods in various scientific fields.
Initiation au logiciel Nvivo with UCLouvain - Livestreaming Jan 22 - Jan 26
Au cours de cette formation de quatre demi-jours au logiciel d'analyse qualitative NVivo, les participants exploreront les fondamentaux du logiciel, plongeant dans une première journée dédiée à la découverte approfondie de l'interface et des fonctionnalités de base.
Meta-Analytic SEM in R with Mike Cheung - Livestreaming Jan 31 - Feb 2
The 'Meta-Analytic SEM in R' seminar, led by professor Mike Cheung, is a comprehensive three-day workshop designed to equip researchers from various fields with the skills to conduct advanced meta-analyses using R software.
Multilevel Modeling and Multilevel SEM in Mplus with Michael Zyphur - Livestreaming Feb 1 - Feb 2
This seminar introduces the Mplus multilevel latent variable modeling framework and describes topics including multilevel variance and effect decomposition, and random and fixed effects (including random slopes), and then proceeds to explore multilevel path analysis, multilevel CFA including multilevel bi-factor models, and multilevel SEM, including approaches for handling strong correlations at the between-group level, indirect effects (multilevel mediation), interaction effects (multilevel moderation), and conditional indirect effects (multilevel moderated mediation).
Harnessing Generative AI for Qualitative Analysis with Christina Silver - Livestreaming Feb 1 - Feb 3
The 'Harnessing Generative-AI for Qualitative Analysis' seminar, led by Christina Silver, is a comprehensive workshop aimed at equipping researchers with the skills to utilize AI appropriately in their qualitative analysis.
Information-Theoretic Modeling and Inference: Theory and Practice with Amos Golan - Livestreaming Feb 9 - Feb 10
Info-metrics is a framework for rational inference based on insufficient and imperfect information.
Regression Analysis for Social and Health Science with Ronald Landis - Livestreaming Feb 16 - Feb 17
This comprehensive 2-day workshop will equip PhD students, professors, and professional researchers with the knowledge and skills needed to effectively use multiple regression analysis in their research.
Qualitative Research: Doing Better Constructionist Data Analysis with David Silverman - Livestreaming Feb 20 - Feb 22
Constructionist qualitative research, with its focus on behaviour, can access phenomena unavailable to surveys and big-data sets, making it a highly credible form of research.
Machine Learning and AI for Researchers in R with Giovanni Cerulli - Livestreaming Feb 27 - Feb 29
This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using R.
Applied Longitudinal Data Analysis with Emilio Ferrer - Livestreaming Mar 21 - Mar 23
This comprehensive 3-day workshop is designed to equip researchers with the skills to effectively analyze longitudinal data with classic and advanced modeling techniques.
Machine Learning and AI for Research in Python with Giovanni Cerulli - Livestreaming Apr 16 - Apr 17
This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python.