ociale Québec ``` Official start date: 2023-04-04 Status: In progress Stage: Phase 1/5 Last update: 2023-04-04 ``` ## Research project title: "Accelerating Academic Research: Assessing the Impact of AI Tools on Quality and Quantity within a One-Week Challenge" ## Problem statement: The emergence of artificial intelligence (AI) tools holds the potential to revolutionize the academic research landscape by significantly augmenting the efficiency, quality, and quantity of research output. However, the extent to which these tools can contribute to the research process within a constrained time frame remains underexplored. In response to this gap, we will design a project in the format of a one-week challenge to assess the capabilities of AI tools in conducting scientific research and drafting an academic article within this limited time frame. ## Research question: The one-week research challenge will focus on the following topic: "AI in the Legal Industry of Quebec: Improving Access to Justice and Navigating Ethical Considerations." The central research question will be: "How can the application of AI in the legal industry in Quebec improve access to justice for citizens, and what are the ethical and legal considerations that must be taken into account in implementing these solutions?" Sub-questions will include: "What is AI?", "How can AI be specifically applied in the legal industry in Quebec to improve access to justice, and what are the potential benefits and drawbacks of these applications?", and "What are some potential barriers to implementing AI solutions in the legal industry in Quebec, and how might these be addressed?" ## Audiences The target audiences for this research project will be social institutions and legal communities. The research approach will include a literature review and document analysis, with a maximum article page count of 20 pages, including references. The writing style will be academic, yet easy to understand for the uninitiated, with a touch of humor. The article will incorporate scientific elements such as graphs and images for better visualization and understanding. ## Hypothesis: Our hypothesis is that AI tools could significantly expedite the research process by automating repetitive tasks, facilitating data analysis, and streamlining manuscript preparation. Additionally, we posit that these tools could improve the quality of research output by reducing human errors and enabling researchers to focus on more complex tasks. ## Academic Relevance The results of this one-week research challenge are expected to demonstrate the potential of AI tools in accelerating the research process and enhancing the quality and quantity of academic output. The findings will provide valuable insights into the practical applications of AI in Quebec's legal industry, highlighting potential benefits, drawbacks, and ethical considerations associated with AI adoption. By showcasing these insights, stakeholders can make informed decisions about implementing AI solutions to improve access to justice. ## Contribution Moreover, this research project will serve as a case study for utilizing AI tools in time-constrained research settings, illustrating their capabilities in expediting research processes and enhancing output quality. Institutions and legal communities can leverage these findings to optimize their research workflows and explore AI applications to improve the administration of justice. Potential applications include faster court processes, expedited delivery of court decisions, better-adapted legal contracts, and tailored conflict management systems that help prevent larger damages and improve overall efficiency. In conclusion, this one-week research challenge aims to contribute to a broader understanding of AI tools' potential in academic research while offering practical recommendations for their adoption within Quebec's legal industry. This study could help drive innovation, improve access to justice for citizens, and navigate the complex ethical and legal considerations that accompany the use of AI in the legal domain. ## Research Design (first draft): This research project will be designed as a mixed-methods study, combining both quantitative and qualitative data collection and analysis. The research process will be divided into the following stages: ### Pre-Experiment Phase: a. Conduct a comprehensive literature review to identify the current state of AI tools in academic research, their limitations, and potential benefits. b. Select appropriate AI tools for the experiment based on their relevance and capabilities in the context of academic research. c. Develop a set of evaluation criteria to assess the quality and quantity of research output generated by the AI tools. ### Experiment Phase: a. Develop a research topic within a specific academic discipline to be investigated by the AI tools during the one-week challenge. b. Provide the AI tools with access to relevant data sources and resources. c. Monitor the AI tools' progress throughout the week, documenting their research output, as well as any challenges or issues that arise. ### Post-Experiment Phase: a. Evaluate the research output generated by the AI tools ## Timeline (first draft): ### Week 1: Day 1: - Milestone: Initiate literature review and select AI tools - Task 1: Conduct preliminary literature review on AI tools in academic research - Task 2: Identify and select appropriate AI tools for the experiment Day 2: - Milestone: Complete literature review and develop evaluation criteria - Task 1: Finalize the literature review - Task 2: Develop a set of evaluation criteria for assessing the research output Day 3: - Milestone: Develop research topic and prepare AI tools - Task 1: Identify a research topic within a specific academic discipline - Task 2: Set up the AI tools with access to relevant data sources and resources Day 4: - Milestone: Launch the one-week challenge - Task 1: Begin the experiment phase and monitor the AI tools' progress ### Week 2: Days 5-10: - Milestone: Monitor AI tools' progress and daily check-ins - Task 1: Conduct daily check-ins to track the AI tools' progress - Task 2: Document the research output, challenges, and issues that arise Day 11: - Milestone: Conclude the experiment and gather research output - Task 1: Complete the experiment phase and compile the research output generated by the AI tools Day 12: - Milestone: Evaluate research output and draft initial findings - Task 1: Assess the quality and quantity of research output using ## Daily workflow: **Day 1:** 1. Review the project objectives and timeline. 2. Conduct a preliminary literature search on AI tools in academic research. 3. Compile and organize the findings of the preliminary literature review. 4. Identify potential AI tools for the experiment. 5. Review the features and capabilities of each AI tool and select appropriate ones for the study. 6. Summarize the day's progress and prepare for Day 2 tasks. **Strategic Plan for Day 1 (6-hour limit):** 1. Review the project objectives and timeline (30 minutes) - Familiarize yourself with the research goals, timeline, and daily tasks. - Prepare a to-do list to help stay organized throughout the day. 2. Conduct a preliminary literature search on AI tools in academic research (1 hour 30 minutes) - Use relevant databases and search engines to find articles, papers, and reports on AI tools in academic research. - Use keywords and search strings to narrow down the search results. 3. Compile and organize the findings of the preliminary literature review (1 hour) - Create an organized document or spreadsheet to catalog the key findings from the literature search. - Note important themes, trends, and potential AI tools for further investigation. 4. Identify potential AI tools for the experiment (1 hour) - Based on the literature review, make a list of AI tools that might be suitable for the research challenge. - Consider their relevance to the specific research question and their features. 5. Review the features and capabilities of each AI tool and select appropriate ones for the study (1 hour) - Assess each AI tool's suitability for the research challenge by evaluating its features, strengths, and limitations. - Make a final selection of AI tools to be used in the research project. 6. Summarize the day's progress and prepare for Day 2 tasks (30 minutes) - Review the completed tasks and ensure all objectives for Day 1 have been met. - Update the to-do list and set priorities for Day 2 tasks. **Day 1 Workflow detailed (6-hour limit):** 1. Task 1: Review the project objectives and timeline (30 minutes) - [x] 00:00 - 00:15: Read through the research goals, timeline, and daily tasks. ✅ 2023-04-04 - [x] 00:15 - 00:30: Prepare a to-do list to help stay organized throughout the day. ✅ 2023-04-04 2. Task 2: Conduct a preliminary literature search on AI tools in academic research (1 hour 30 minutes) - [x] 00:30 - 00:45: Identify relevant databases and search engines for research. ✅ 2023-04-04 - [x] 00:45 - 01:45: Use keywords and search strings to find articles, papers, and reports on AI tools in academic research. ✅ 2023-04-04 - [ ] 01:45 - 02:00: Review and refine search results to ensure relevance. 3. Task 3: Compile and organize the findings of the preliminary literature review (1 hour) - [ ] 02:00 - 02:30: Create an organized document or spreadsheet to catalog key findings from the literature search. - [ ] 02:30 - 03:00: Note important themes, trends, and potential AI tools for further investigation. 4. Task 4: Identify potential AI tools for the experiment (1 hour) - [ ] 03:00 - 03:30: Make a list of AI tools that might be suitable for the research challenge based on the literature review. - [ ] 03:30 - 04:00: Consider the relevance of each tool to the specific research question and their features. 5. Task 5: Review the features and capabilities of each AI tool and select appropriate ones for the study (1 hour) - [ ] 04:00 - 04:30: Evaluate the features, strengths, and limitations of each AI tool. - [ ] 04:30 - 05:00: Make a final selection of AI tools to be used in the research project. 6. Task 6: Summarize the day's progress and prepare for Day 2 tasks (30 minutes) - [ ] 05:00 - 05:15: Review the completed tasks and ensure all objectives for Day 1 have been met. - [ ] 05:15 - 05:30: Update the to-do list and set priorities for Day 2 tasks. | Task Number | Time Allotted | Start Time | End Time | Objectives Met | Key Findings or Output | |-------------|-------------------------|---------------|--------------|-------------------|-----------------------------------------------------------------------| | 1 | | | | | [[S.1 findings]] | | 2 | | | | | [[TS.2 findings]] | | 3 | | | | | [[TS.3 findings]] | | 4 | | | | | [[TS.4 findings]] | | 5 | | | | | [[TS.5 findings]] | | 6 | | | | | [[TS.6 findings]] | Day 2: 1. Continue the literature review process, focusing on AI tools' limitations and potential benefits. 2. Finalize the literature review and organize the findings. 3. Develop a set of evaluation criteria for assessing the research output. 4. Summarize the day's progress and prepare for Day 3 tasks. Day 3: 1. Identify a research topic within a specific academic discipline. 2. Set up the AI tools with access to relevant data sources and resources. 3. Test the AI tools' functionality to ensure proper setup. 4. Summarize the day's progress and prepare for the experiment launch on Day 4. Day 4: 1. Launch the one-week challenge and monitor the AI tools' progress. 2. Record any initial observations or challenges. 3. Check in on the AI tools periodically throughout the day. 4. Summarize the day's progress and prepare for daily check-ins during Week 2. Days 5-10: 1. Conduct daily check-ins to track the AI tools' progress. 2. 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