Overview
DHARTI’s Faculty Development Programme is a short, intensive training for university teachers, librarians, museum professionals, and researchers who wish to integrate digital methods into teaching and research. The programme balances conceptual grounding with hands-on practice, with a South Asian focus and attention to multilingual materials.
Aims and Objectives
- Build practical competence in core DH tools and methods.
- Strengthen critical understanding of data ethics, accessibility, and preservation.
- Support curriculum design that is locally relevant and sustainable.
- Equip participants to plan small, feasible projects for their institutions.
- Encourage network building and resource sharing across campuses.
Format
Duration: 5 days, with an optional 1-day lab clinic.
Mode: In-person or online.
Cohort size: 25 to 35.
Pedagogy: Short lectures, guided labs, project studios, and micro-teaching.
Modules and Labs
- Foundations of Digital Humanities
Concepts, scope, and South Asian case studies. Output: a short course plan outline. - Data, Ethics, and Stewardship
Consent, authorship, metadata, accessibility, preservation. Output: a draft ethics and data plan. - Text Preparation and Analysis
Corpus building, cleaning, tokenisation, exploratory analysis. Tools may include OpenRefine and simple Python notebooks or browser-based tools. Output: a reproducible notebook or workflow note. - Geospatial Approaches
From place names to maps, basic GIS practices for the humanities. Output: a simple map with accompanying narrative. - Networks and Visualisation
Modelling relationships, reading network graphs, limits of visual rhetoric. Output: a small graph with interpretation. - AI for the Humanities
Overview of current capabilities and limitations, prompt design for teaching, transparency and citation norms. Output: a classroom exercise that uses AI responsibly. - Electronic Literature and Multimodal Forms
Teaching with born-digital works, archiving challenges, assessment design. Output: a module brief or assignment. - Project and Curriculum Design Studio
Participants develop a project or a course module tailored to their institution. Output: a two-page project canvas.
Programme at a Glance
- Day 1: Foundations, ethics, and data stewardship
- Day 2: Text workflows, lab session
- Day 3: Geospatial methods, lab session
- Day 4: Networks, visualisation, lab session
- Day 5: AI for DH, electronic literature, project studio and showcase
- Optional Day 6: Open lab clinic and one-to-one consultations
Learning Outcomes
By the end of the FDP, participants will be able to:
- Plan and deliver an introductory DH module suited to their context.
- Prepare small datasets ethically and document workflows.
- Apply one or two methods in the classroom, for example mapping or basic text analysis.
- Draft a feasible project proposal with clear learning goals and assessment.
Eligibility
Open to faculty, librarians, curators, doctoral supervisors, and advanced doctoral candidates. Basic computer literacy is required. Prior coding experience is not essential.
Application Process
Submit a brief statement of purpose, a short CV, and a paragraph describing how you plan to use DH in your teaching or institutional work. Seats are offered with attention to disciplinary and regional diversity.
Assessment and Certification
Assessment is formative. Participants complete a project canvas, a short reflective memo, and a micro-teaching exercise. Certificates of completion are issued by DHARTI. Institutions may recognise this for internal credit as per their own policies.
Fees and Scholarships
Indicative fee: INR [amount] per participant. A limited number of fee waivers or institutional discounts may be available for public universities and early-career faculty.
Logistics and Requirements
Participants need a laptop with reliable internet. Software used will be free or open source where possible. A pre-reading pack and installation checklist will be sent one week in advance.
Post-Programme Support
Graduates receive access to slides, sample datasets, and template assignments, as well as invitations to DHARTI working groups and follow-up clinics. Selected outputs may be published on the DHARTI website with credit.
Policies
DHARTI follows clear norms on attribution, consent, and accessibility. Participants agree to share teaching materials with appropriate crediting and to respect data licences used in the programme.
Contact
For questions about schedules, fees, or institutional hosting, please use the contact form on the DHARTI site. Institutions interested in running a tailored edition are welcome to enquire.