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    <title>workshop on Arun Mitra</title>
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    <description>Recent content in workshop on Arun Mitra</description>
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      <title>Three-Day Workshop on Reproducible and AI-aided Health Data Analysis at IQRAA</title>
      <link>https://arunmitra.com/training/workshops/iqraa-data-analysis/</link>
      <pubDate>Thu, 04 Jun 2026 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/iqraa-data-analysis/</guid>
      <description>Background     The IQRAA workshop series was designed to build practical data analysis skills in R for clinicians and health researchers. It runs across multiple days and progresses from data fundamentals through exploratory data analysis to applied statistical methods, using realistic clinical datasets so participants work on problems close to their own.
Approach     The series combines Quarto Reveal.js slide decks, demonstration datasets, hands-on exercises, and a participant handbook.</description>
    </item>
    
    <item>
      <title>Pre-Conference Workshop on Infectious Disease Modeling (IDM)</title>
      <link>https://arunmitra.com/training/workshops/idm-r-workshop/</link>
      <pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/idm-r-workshop/</guid>
      <description>Background     This R-based workshop on Infectious Disease Modeling (IDM) was delivered as the Pre-Conference Workshop on Infectious Disease Modeling at JHAPSMCON-2026, organised by AIIMS Deoghar. It is aimed at learners who want to build practical infectious-disease-modeling skills in R through collaborative, small-group modeling activities.
Approach     The workshop is organised around group activity scripts (group1.R through group4.R), with each group working through a guided infectious-disease-modeling exercise in R.</description>
    </item>
    
    <item>
      <title>Spatial Epidemiology using R</title>
      <link>https://arunmitra.com/training/workshops/spatial-epidemiology-r/</link>
      <pubDate>Sun, 14 Sep 2025 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/spatial-epidemiology-r/</guid>
      <description>Background     Spatial epidemiology offers powerful tools for understanding the geographic patterning of health and disease, but practical, code-based training opportunities remain scarce in India. This hands-on workshop targets public-health researchers, epidemiologists, and students, and is delivered by a team of facilitators: Dr. Biju Soman (SCTIMST), Dr. Arun Mitra (AIIMS Bibinagar), Dr. Manikanda Nesan (ICMR-NIE Chennai), and Dr. Adrija Roy.
Approach     The workshop runs in a structured 4-day format combining lectures with guided coding in R.</description>
    </item>
    
    <item>
      <title>Health Technology Assessment using R</title>
      <link>https://arunmitra.com/training/workshops/r-for-hta/</link>
      <pubDate>Tue, 09 Sep 2025 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/r-for-hta/</guid>
      <description>Background     Health technology assessment (HTA) informs decisions about which health technologies to adopt and fund, but it depends on rigorous, reproducible decision-analytic and economic modelling that few clinicians and policy-makers are formally trained to perform. R offers a free, transparent, and fully reproducible environment for building these models end to end. This Workshop on Health Technology Assessment (HTA) using R was designed to give participants practical, code-based skills in health-economic modelling, lowering the barrier to conducting credible HTA.</description>
    </item>
    
    <item>
      <title>AI in Statistical Analysis</title>
      <link>https://arunmitra.com/training/workshops/ai-for-statistical-analysis/</link>
      <pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/ai-for-statistical-analysis/</guid>
      <description>Background     AI tools are rapidly reshaping how analysts approach statistical work, yet many researchers lack a practical, critical framework for using them well. This workshop was designed for researchers, statisticians, and data scientists who want to understand where AI can responsibly support the statistical analysis workflow. It assumes basic familiarity with R and statistical concepts.
Approach     The session is delivered as an interactive Quarto Reveal.</description>
    </item>
    
    <item>
      <title>R Workshop (BioEngineeR)</title>
      <link>https://arunmitra.com/training/workshops/r-workshop-bioengineer/</link>
      <pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/r-workshop-bioengineer/</guid>
      <description>Background     Getting started with R and reproducible reporting can be a barrier for newcomers who have little or no prior programming experience. This introductory workshop was designed to give participants a gentle, practical first step into R and Quarto, so they can produce clean, reproducible reports from their own analyses.
Approach     The session is a hands-on, introductory walkthrough that builds a first Quarto document from the ground up.</description>
    </item>
    
    <item>
      <title>Data Management Training-of-Trainers (DMgt Asia)</title>
      <link>https://arunmitra.com/training/workshops/data-management-tot/</link>
      <pubDate>Fri, 01 Nov 2024 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/data-management-tot/</guid>
      <description>Background     Building regional capacity in data management requires not just trained analysts but trainers who can pass on good practice. This training-of-trainers (ToT) sits within the &amp;ldquo;Digital Platforms for Disease Surveillance and Control: Best Practices from Asia (DMgt Asia)&amp;rdquo; initiative and is designed for cascade delivery, preparing trainers to teach data management and data science within their own institutions. It is aimed at prospective trainers and senior analysts who will go on to deliver this material onward.</description>
    </item>
    
    <item>
      <title>National Workshop on Health Data Analytics using R</title>
      <link>https://arunmitra.com/training/workshops/nwhda-mangalagiri/</link>
      <pubDate>Thu, 03 Oct 2024 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/nwhda-mangalagiri/</guid>
      <description>Background     Clinicians and public-health professionals increasingly need to analyse their own data, yet most lack formal training in reproducible, code-based analytics. This National Workshop on Health Data Analytics using R was designed to close that gap, giving practitioners a practical foundation in the modern R toolchain. The event ran as Cohort 2 of the national programme, hosted at AIIMS Mangalagiri.
Approach     The workshop was delivered over three days of structured, hands-on sessions that combined concept introductions with guided coding in R.</description>
    </item>
    
    <item>
      <title>GIS &amp; Spatial Data Science for Public Health</title>
      <link>https://arunmitra.com/training/workshops/gis-for-public-health/</link>
      <pubDate>Sat, 27 Jul 2024 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/gis-for-public-health/</guid>
      <description>Background     Public-health practitioners increasingly need to work with geographic data, yet most have limited exposure to spatial methods. This flagship recurring workshop series introduces GIS and spatial data science to public-health professionals, researchers, and students, using open-source tools and reproducible workflows. No prior GIS experience is assumed.
Approach     Delivered as a hands-on Quarto-based course built entirely in R, the curriculum moves from foundational concepts of spatial data science to applied analysis.</description>
    </item>
    
    <item>
      <title>GIS for Epidemiology</title>
      <link>https://arunmitra.com/training/workshops/gis-for-epidemiology/</link>
      <pubDate>Tue, 28 May 2024 00:00:00 +0000</pubDate>
      
      <guid>https://arunmitra.com/training/workshops/gis-for-epidemiology/</guid>
      <description>Background     Epidemiological data are inherently spatial, yet spatial analysis remains underused in routine practice and training. This workshop equips epidemiologists and public-health researchers with practical spatial methods to map, explore, and analyse disease data, building on classic examples such as the John Snow cholera investigation and modern outbreak datasets.
Approach     The course is delivered as a Quarto website with structured sessions in R.</description>
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