AI-Powered Statistical Analysis: Tools and Applications for Multidisciplinary Research
About the Event
AI-Powered Statistical Analysis: Tools and Applications for Multidisciplinary Research
AI-Powered Statistical Analysis: Tools and Applications for Multidisciplinary Research Five-Day Online Faculty Development Programme is designed to provide hands-on training in AI tools for statistical and quantitative analysis across interdisciplinary domains.
The programme emphasizes responsible and ethical use of AI, data transformation, advanced analytical techniques, and effective data visualization. It aims to strengthen faculty competencies in research, teaching, and data-driven decision-making while encouraging interdisciplinary collaboration and adoption of modern analytical practices in higher education.
This Faculty Development Programme is jointly organized by Assam Don Bosco University, India, in collaboration with Sharda University Uzbekistan, reflecting a strong international academic partnership.
Organizing Institutions:
a. Assam Don Bosco University (ADBU), Assam, India
b. Sharda University Uzbekistan (SUU), Andijan, Uzbekistan
Duration of the FDP: Five Days Dates: 16th March to 20th March 2026
Proposed Time:6 pm-7.30pm
Mode of Session: Online
Target Participants :Faculty members, Researchers, PhD Scholars, PG Scholars (All Disciplines).
Background and Rationale: This FDP aims to equip faculty members with hands-on exposure to AI tools for statistical and quantitative analysis across interdisciplinary domains, fostering responsible and data-driven research and teaching practices.
Objectives:
a. Understand fundamentals and emerging trends in AI
b. Apply AI tools for data transformation and statistical analysis
c. Develop skills in regression, time series, and visualization
d. Promote interdisciplinary research collaboration
Payment Process for Registration Participants are requested to follow the appropriate payment procedure based on their country of residence.
1. For Indian Candidates:
Indian participants should complete their registration and payment through the official portal of Assam Don Bosco University. Steps: Visit the registration link: https://erp.dbuniversity.ac.in/adbu_events/registerForEvent?id=62 Fill in the required details in the online form. Complete the payment using the available online payment options. After successful payment, keep the payment receipt for future reference.
2. For Candidates from Uzbekistan
Participants from Uzbekistan should make the payment using the following UZS account details of PJSC “Trust Bank” Andijan branch: Account Number (UZS): 20214000905066273001 Bank Name: PJSC “Trust Bank” Andijan branch BIC: 01074 Tax ID: 306350272 . After completing the payment, participants are advised to keep the transaction receipt or proof of payment.
3. For Candidates Other than India and Uzbekistan
International participants from other countries should transfer the registration fee to the following foreign currency accounts: Account Number (EURO): 20214978805066273001 Account Number (USD): 20214840905066273001 Bank Name: PJSC “Trust Bank” Andijan branch SWIFT Code: TRSAUZ22. Participants should ensure that all bank transfer charges are covered and retain the payment receipt for confirmation of registration.
Gallery
Schedule
Day 1: Foundations and Readiness for AI-Based Statistical Analysis
2026-03-16
Track 1
Tools Covered (Hands-on) ChatGPT / Claude – Statistical reasoning hypothesis framing Julius AI / Wolfram Alpha – Descriptive statistics and basic inference Google Colab (no coding emphasis) Hands-on Activities Convert research questions into statistical hypotheses AI-assisted selection of statistical tests (t-test, ANOVA, Chi-square) Interpret AI-generated statistical summaries Compare manual vs AI-assisted statistical thinking Learning Outcome: Participants will understand where and how AI fits into statistical analysis without fear of coding.
Day 2: AI Tools for Data Cleaning, Preparation and Exploration
2026-03-17
Track 1
Tools Covered (Hands-on) OpenRefine (AI-assisted) ChatGPT Advanced Data Analysis Tableau Public / Power BI AI features Hands-on Activities Clean real-world messy datasets (survey / experimental / institutional) Handle missing values using AI recommendations Automated exploratory data analysis (EDA) AI-driven data visualization and insight extraction Learning Outcome: Participants will learn to prepare publishable datasets using AI with minimal technical effort.
Day 3: AI-Assisted Statistical Modeling and Hypothesis Testing
2026-03-18
Track 1
Tools Covered (Hands-on) JASP / Jamovi (AI-supported GUI tools) ChatGPT for model selection and interpretation AutoML-based statistical modules Hands-on Activities Regression (linear, logistic) using AI guidance ANOVA and non-parametric tests Model assumption checking using AI prompts Interpretation of outputs for research papers Learning Outcome: Participants will confidently apply and interpret statistical models without heavy mathematical burden.
Day 4: Domain-Specific AI Statistical Applications
2026-03-19
Track 1
Tools Covered (Hands-on) BioStat AI / Orange Data Mining NVivo AI (for qualitative + quantitative integration) SPSS AI features / Python AutoStats tools Hands-on Activities Life Sciences: Experimental and clinical data analysis Social Sciences and Humanities: Survey + sentiment statistics Management: Forecasting and decision analytics Engineering: Performance and reliability analysis Learning Outcome: Participants will learn how AI adapts statistical methods to their own discipline.
Day 5: AI for Research Reporting, Visualization and Ethics
2026-03-20
Track 1
Tools Covered (Hands-on) Grammarly / Writefull / Paperpal (statistical writing) ChatGPT for result interpretation and discussion Datawrapper / Flourish AI AI Plagiarism and Bias Detection Tools Hands-on Activities Writing results and discussion sections using AI Ethical use of AI in statistical analysis Creating publication-ready tables and figures AI disclosure statements for journals Learning Outcome: Participants will be able to present AI-assisted statistical results ethically and effectively.
Event Details
DATE
March 16, 2026 - March 20, 2026
TIME
6:00 PM - 7:30 PM
PARTICIPATION MODE
ONLINE
ORGANIZED BY
Computer Applications
This event has concluded