EN1 h 21 minHow to Use AI Ethically for a Literature Review
Professor Dawid Hanak walks through four literature review stages and shows how AI can support each one without compromising integrity.
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EN1 h 21 minProfessor Dawid Hanak walks through four literature review stages and shows how AI can support each one without compromising integrity.
EN35 minUse SciSpace as a sequence rather than opening every tool at once: define the question, discover and compare papers with Literature Review, save useful sources in Library, and interrogate individual papers with Chat with PDF. Use SciSpace Agent only when the work has multiple connected stages, and verify source passages, methods, and numbers before exporting the result.
EN36 minUse SciSpace Agent when the deliverable requires several connected actions, not for a single lookup. Give it a written brief that names the question, sources, constraints, deliverables, and review checkpoints; inspect its plan and intermediate files before allowing a large search or analysis. Accept the final result only after checking pivotal papers, calculations, exclusions, and missing information.
EN37 minIn SciSpace, a strong academic-research prompt states the goal, evidence boundary, context, output format, and verification rule. Include the key concepts, population or source set, time range, and fields you need compared. Ask for citations or source passages for consequential claims, and separate extracted evidence from interpretation. Test the prompt on a small sample before scaling the task.
EN24 minA reliable AI-assisted literature review in SciSpace starts with a focused question and a documented search scope. Use SciSpace Literature Review to discover and filter papers, compare them in a consistent evidence matrix, inspect pivotal studies with Chat with PDF, and synthesize themes, disagreements, and gaps. Treat AI summaries as navigation aids and verify every important claim against the original paper.
EN42 minIn SciSpace, AI can accelerate data inspection, code generation, visualization, and reporting, but the research question and study design should determine the method. Begin with a data dictionary and a written analysis plan, inspect quality problems before modeling, record every transformation, test assumptions, and verify results against the data and code before drawing conclusions.
EN51 minUse SciSpace as a manuscript co-pilot, not as the source of evidence. Build an outline that maps each section to verified data and references, use AI Writer to draft from that evidence, and review every number, citation, limitation, and interpretation before submission. The author remains responsible for the argument, scientific judgment, and final wording.
EN35 minA systematic review in SciSpace can use AI assistance, but it must remain protocol-driven and reproducible. Define eligibility, outcomes, sources, dates, and synthesis methods before searching; document every query and screening decision; extract the same fields from each included study; assess quality; and preserve the evidence trail needed to reconstruct the review.
EN24 minUse SciSpace to structure a peer review, compare manuscript claims with the reported methods and results, and draft clear reviewer comments. AI can organize checks and highlight possible inconsistencies, but it cannot replace disciplinary judgment, confidentiality rules, or the reviewer’s responsibility to distinguish major issues from optional suggestions.
EN23 minIn SciSpace, begin a scientific illustration with a content specification rather than a decorative image prompt. Define the figure’s purpose, audience, entities, labels, relationships, directionality, scale, and evidence status; generate a draft; then have a domain expert verify scientific accuracy, readability, accessibility, and publication requirements.
EN33 minWith SciSpace Biomedical Agent, define the population or model, intervention or exposure, comparator, outcomes, evidence types, and intended use before searching. Extract study design, sample, methods, results, limitations, and safety information into a consistent table, separate unlike evidence types, and verify important values and conclusions in the original biomedical papers.
EN3 minUse SciSpace Library to organize a literature review around the decisions you need to make, not around a random folder of PDFs. Create a consistent project structure, import and deduplicate papers, tag them by theme and review status, store source-linked notes, and maintain a comparison matrix that can be reused during synthesis and writing.
EN3 minSciSpace Chat with PDF is most useful when you ask structured, source-checkable questions. Start with the paper’s objective, design, sample, variables, and main finding; request the passage supporting each answer; then examine assumptions, effect estimates, limitations, and relevance to your own question. Verify critical details in the PDF before citing them.
EN5 minUse SciSpace Literature Review to turn a focused question into a reviewable paper comparison, not to replace screening judgment. Search with explicit concepts and filters, inspect relevance, define custom comparison fields, compare methods and findings consistently, save the useful sources, and verify extracted evidence before using it in a review or decision.
EN2 minSciSpace AI Writer is most valuable when the evidence and argument are already defined. Provide the section goal, audience, notes, and allowed sources; generate or revise one section at a time; and then check every factual claim, citation, transition, and qualifier. Keep the researcher’s voice and do not allow the tool to invent results or references.
EN2 minUse SciSpace Paraphraser to rewrite academic text only after you understand the source. Preserve the original meaning, qualifiers, technical terms, and citation; compare the output sentence by sentence with the source; and revise any wording that overstates certainty, changes the claim, or disguises unattributed borrowing.
EN3 minSciSpace Citation Generator can format bibliographic data, but it cannot prove that the data are correct. Select the source and citation style, then compare author names, title, venue, year, pages, DOI, and URL with the publisher or trusted record. Check that every in-text citation has a matching reference and that no reference was fabricated.
EN3 minUse SciSpace AI Detector as a screening signal, not proof of authorship or misconduct. Review flagged passages in context, compare them with drafts, sources, and citation patterns, consider false positives for formulaic or multilingual academic prose, and rely on transparent institutional procedures rather than a single detector score.
EN3 minSet up SciSpace for a research team with one small, repeatable task rather than a platform-wide rollout. Agree on a shared project structure, prompt template, deliverable, reviewer, and evidence standard; test the workflow on a sample; resolve disagreements; and only then scale it across the team.
EN3 minIn SciSpace Biomedical Agent, a research team should share the same question, evidence boundaries, extraction fields, and review responsibilities before running an agentic workflow. Pilot the task, inspect the search and evidence table together, assign domain review, and retain decisions so that another team member can reproduce the result.
EN3 minSciSpace credits are tied to the work performed, so efficient use begins before you click Run. Check your current plan, distinguish a quick tool action from a multi-step Agent task, prepare the files and output requirements, and pilot a smaller scope. Clear prompts and early validation reduce repeated runs and wasted credits.
EN3 minEvaluate SciSpace security against the sensitivity of your data and your institution’s requirements. Classify the material, review current security, privacy, retention, and compliance documentation, confirm access controls with an administrator, and pilot with non-sensitive content. Document an approved-use policy before uploading confidential, regulated, or unpublished data.
EN36 minWhen SciSpace or another AI system suggests a reference, confirm that the source exists and supports the claim before using it. Resolve the title, authors, venue, year, pages, and DOI in trusted records; open the source; check the relevant passage; and remove or correct any citation that is fabricated, mismatched, or irrelevant.
EN34 minSciSpace can help outline, rephrase, and critique a scientific paper, but it cannot be an author or take responsibility for data, methods, interpretation, or integrity. Delegate low-risk drafting support, keep scientific decisions with the researchers, verify every claim and reference, and disclose AI assistance when required.