AI for research Management
AI for research Management
(hybrid event)
- Date: 26 – 28 May
- Target Group: Research managers and Dig4Bio Project Team
- Place: IST
- Course lecturer: Avi Staiman, Founder & CEO, Academic Language Experts
PROGRAM
May 26 Morning (10h00- 13h00 WET)
Module A: Generative AI Tools for Research Management
Session 1: Frontier v. Rag: Foundations of AI tools in research
- Sentiment analysis, solve your problem (GPT)
- Customize ChatGPT
- What is a boot camp? Agenda overview
- Generative v. RAG (Perplexity.AI, Deep Research)
LLMs as Worlde on Steroids: Opening presentation
Session 2: Choosing the best AI model for you
Which AI frontier model is best for your needs?
Lunch (13h00-14h00 WET)
May 26 Afternoon (14h00-17h00 WET)
Module B: Data Privacy & Research Integrity
Session 3: Research Integrity & Data Privacy- How can we use AI responsibly?
AI as the problem and solution- Proofig quiz
Research integrity, responsible AI use, & data privacy
Explore terms of use , Update GPT privacy settings
Individual activity
Session 4: Funder & European Commission Policy
Publisher & funding policy
Policy: Up-to-date funder policies regarding AI use
Reporting: Best practices for reporting AI use in research
Group activity- Ask questions on AI policy using EU Gen AI guide + RAG
May 27 Morning (10h00-13h00 WET)
Module C: Grant Preparation
Session 5: Ideation & Brainstorming
Session 6: Finding grant calls
Other tools: Pivot, Atom, Grantforward, Grantsfinder, Sciencebase(Denmark)
Individual practice session
Literature Review- Part 1
Supercharging literature search
- AI Literature review (SciSpace, Scite Assistant)
- Deep Search (Undermind.ai , Google Deep Research)
- Find sources for existing info (Sourcely)
Practice session + share + summarize
Other tools: Genie, Consensus, Scholar AI, Elicit, Zendy, Medical search: Open Evidence
Lunch (13h00-14h00 WET)
May 27 Afternoon (14h00-17h00 WET)
Session 7: Call reading + building consortium
- Call reading (GPT, Sample call)
- Find partners for consortium (Global Campus– username: AI_workshop_1
- password: u6af6BdSxLeKM)
Group practice session
Other tools: Connections between researchers (Litmaps)
Module D: Proposal Writing
Session 8: Best prompting practices
Ingredients of a winning prompt
Prompting practice on ChatGPT, presentations (Prompt to improve prompt)
Session 9: Develop funding topic
- Brainstorm strong funding topics (FundableAI)
Practice session + share + summarize
Additional tools: Research Kick
Group practice session
Session 10: Writing & editing proposal
Step by step prompting for proposal writing
Using GPT Canvas
Sample proposal draft
Live practice + share
- Generative structured writing (Jenni)
Other tools: Granted.AI, Writing questionnaires (Survey Monkey)
May 28 Morning (10h00-13h00 WET)
Session 11: Create Your Own GPT & Multimodal Capabilities
Create your own custom GPT (example: Write grant proposals)
- Experiment on phone with text to audio, audio to text, video to text
- Query your own library (Notebook LM)
Live practice
**Intermission: Multimodality
Sonu AI
Group pic to AI
Digital Twin
Voice mode
Text to audio, audio to text, video to text
- Extract key insights from meeting recordings.
- Streamline proposal and grant document reviews.
- Track and organizing conference outputs.
- Optimize visual presentations for stakeholders.
- Digitize handwritten notes and research logs.
- Generate infographics for research impact metrics.
- Analyze visual and multilingual materials.
- Summarize researcher training videos.
- Prepare data for institutional reports.
- Create visual knowledge repositories.
Lunch (13h00-14h00 WET)
May 28 Afternoon (14h00-17h00 WET)
Module E: Grant Strategy, Management & Communication
Session 12: Grant Strategy & Trends
- Funding analytics & institutional strategy (DimensionAI)
- Research intelligence (scinapse)
Session 13: Proposal Review
- GPT as reviewer (Peer Review)
- Impact section of grants (Impacter– sample proposal)
Practice: Write step-by-step prompting using evaluation form(GPT) + summarize
Module F: Research Management Communication
Session 16: Multimedia Research Dissemination & Communication
Conclusion: Boot Camp Reflection
Session 17: Bootcamp Reflection
We come back together to reflect on what we learned over the bootcamp and discuss practical implications for your institution.
- Discussion: major takeaways, use cases, favorite tools, one word closing
- Post-session survey
- Final presentation
Post-event follow up:
Boot Camp Materials
Generative AI in Higher Education – product list
Product Discount Codes
Where are AI tools getting info from? (Scientify- govt. databases, e.g. grants.gov in the US has an open API, so we use that data. And directly from funder sites. Our data is compiled using a combination of tools to make it easier to get data from open sources and keeping tabs on refreshed grant information. Funders also input information with a front-end upload. In the end, we still do human checks to ensure accuracy of the eligibility structuring. We’re also only pulling grant data that is found online and in English.