
Social Sciences
Society, behaviour, economics and management.
MMT Orbit Academia · the scientific work product
Start with an idea, data, unfinished analysis, a manuscript or reviewer feedback. Bring questions, literature, data, methods and writing into the same workspace. Critical scientific decisions remain yours.
Example research
Literature and source notes
Selected data file
Earlier method decision
Review the scope of the new data and the method assumptions.
Scientific decisions stay with the researcherReview links between claims, sources and counter-evidence.
Illustrative layout · no measured resultsPrepare the analysis while keeping sources, data and decisions connected.
Better research in every field
Questions, sources, data and methods are considered together around the needs of your study.

Society, behaviour, economics and management.

Observation, measurement, experiments and comparison.

Models, systems and technical data.

Research data, methods and scientific evidence.

Source review and comparative research.

Texts, history, culture and interpretation.
Research with context intact
Publication acceptance and method suitability are not automatically guaranteed.
Review data access and usage conditions. Critical scientific decisions stay with you; method suitability and publication acceptance are not guaranteed.
Where does your work begin?
Illustrative example · no work is started
What happens when you arrive?
The order below is not a mandatory wizard. Each study passes through the steps its need requires; sequence and scope depend on the work. Scientific reasoning and responsibility stay with you; repetitive preparation, tool operation, data transfer and scattered tracking are handed to MMT.
Question, what you have, constraints and unknowns must be separated.
Reads your description; separates known facts, points that need a decision and missing information; names the research and evidence required.
What stays with you: You confirm the goal and scope and correct anything misunderstood.
What is recorded: The work narrative, known facts and open questions.
Current studies, opposing findings and where data will come from must be visible.
Investigates source candidates, reads what is retrieved and records verification state; lists options to find, acquire and prepare data with sufficiency and limits.
What stays with you: You decide which source and data path to follow and add your own data, or give its public address to have it read.
What is recorded: Source list with verification state; data file, preview and integrity record; where and when a file read from an address came from.
Alternatives compared with rationale, prerequisites and limits.
Inspects the data with the verified reader; prepares suitable method options with why they are considered, which assumptions they rest on and which claims they do not allow.
What stays with you: You choose the method, period and variables. The decision is recorded with its rationale; a changed plan or dataset never reuses an old decision silently.
What is recorded: The decision request, the decision and its rationale.
The approved computation must actually run, and the result must say which data and parameters produced it.
Runs the supported analysis with the local computation tool on the same data; writes diagnostics, unmet conditions and limits into the output. Numbers come from computation, not from a model.
What stays with you: You read the output and diagnostics and interpret the result.
What is recorded: Output, provenance (data, method, parameters, version) and receipt.
The result is interpreted, weak points are seen, documents and revisions stay in the same work.
Adds new information to known facts, flags the affected decision for re-confirmation, prepares further research or computation in the same work and preserves history.
What stays with you: You set the interpretation, the answer to counter-explanations and which result stands.
What is recorded: Notes, renewed decisions, versions and lessons learned.
Four different needs, four different starts. They are not closed classes: you can begin in your own words without picking an example, and one need can turn into another as the work proceeds.
Start A
My expertise, equipment, data access and time are known; I want a direction that fits them and is genuinely worth the work.
You write down your expertise, resources, experimental means, goal and constraints. MMT records the capacity inventory; investigates current and counter literature; compares candidate directions with their grounds, required data or experiments and open uncertainties. What you keep: not a topic list: reasoned directions, supporting sources, the data or experiment each requires, and the unknowns.
You choose the direction; ethics, originality and new-data responsibility stay with you.
The chosen direction becomes question and scope work in the same job.
Start B
I know my question but have not fixed the period, variables, data source or method.
You write the question in your own words; you do not need data yet. MMT prepares scope, period and variable options; lists data-acquisition paths and sufficiency; explains suitable method options with prerequisites for each path. What you keep: research scope, a data-acquisition plan and method alternatives; which decision is expected from you.
You approve the scope and data path. You are never forced into a ready-made data form.
When data arrives, the same job moves to verification and the method decision.
Start C
My file and half-done analysis are ready; I want to continue from where I am, not pick a topic again.
You add the existing data and any earlier output and describe where you are stuck. MMT checks the file with the verified reader; joins the existing work; offers method options; runs the approved computation; writes diagnostics and limits. What you keep: data check report, method decision, real computation output and its provenance.
You choose the method and interpret the result; association is not causation.
Further checks, a new method or the writing stage follow in the same job.
Start D
I have a draft or a reviewer report; I want each critique connected to the right place and to see what I must do.
You add the text, the critique and the related data. MMT relates each critique to the relevant claim, section and data; separates the needed explanation, additional analysis or change; prepares the new computation in the same job. What you keep: critique-to-claim mapping, the list of additional work, grounds for the reply draft and a new version record.
You decide which change is made and what the reply says.
The new version and the replies stay in the history of the same work.
The same five questions for every capability: where it starts, what MMT does, what you keep, what you do, how it continues. Labels state the real situation in this release.
Supported analyses: descriptive statistics, stationarity tests and linear regression. Files: CSV or XLSX, up to 6 MB; you add them or have them read from a public address. Analyses outside this scope are not offered.
Start: you attach your data file or give its address, and choose a method or ask for a proposal. MMT verifies the file, reads columns and units, runs the approved method with the local computation tool. You do not have to operate these separately. Output: computation output and provenance: which data, which parameters, which tool version.
You inspect which data and parameters produced the numbers and interpret the result.
A new method or check on the same data is added in the same job.
In this release: the source list in the research output with retrieval and reading/verification state; claims are listed with their boundaries and supporting and contrary sources, and carried to the next step with those boundaries. A link alone never counts as support. The map view showing, per claim, strength of support and unknowns is not open yet.
Start: your research question and any existing claims. MMT searches source candidates, reads what is retrieved, records verification state; never counts an unread source as support. Output: source and verification record; grounds bound to the output.
You decide which source actually carries a claim.
A new source is added to the same job and the claim is reassessed.
A critical review before submission that looks for weak assumptions, method objections and alternative explanations. It is not a real reviewer report or expert acceptance. Not open in this release; for now you can record objections as notes and re-decide in the same job.
Start: a completed analysis and draft claims. MMT lists weak assumptions, method objections and alternative explanations; separates which ones need further computation. Output: an objection list and, for each, the required reply or additional work.
You decide which objections hold and how to answer them.
Replies and further computations are recorded in the same study.
In this release: recording the critique as a note, re-taking the affected decision and re-running the computation with the new plan all happen in the same job. The structured view of critique → section/claim → change → reply → new version is not open yet.
Start: the reviewer report and the related draft. MMT connects each critique to its section and claim; separates the required explanation or new analysis. Output: critique mapping, the change and reply record, a new version.
You write the change and the reply; the system prepares the grounds.
The new version sits in the work history next to the previous one.
Arranging document, figures, tables and references according to retrieved current journal requirements. No universal format or publication guarantee; journal-rule retrieval is not open in this release.
Start: a target journal and a ready draft. MMT reads the retrieved current requirements; lists missing sections, figure, table and reference formats. Output: a compliance checklist and an arranged document version.
Journal choice and the submission decision stay with you.
A rejection or revision opens as a new round in the same study.
More than a chat history: the data used, decisions taken, computations produced and reasons for changes stay in the same study. Close it and reopen it from the same place; new information can reopen the related work.
Start: any study you started earlier. MMT lists recorded decisions and outputs as known facts; adds new information; flags the affected decision for re-confirmation; never deletes old output. Output: a versioned plan, decision history and output list.
You decide what remains valid.
Continue under the same work id; lessons carry into the next step.
Examples are illustrative; none is a real person's study, a completed analysis or an expert acceptance. Genuinely produced outputs are marked with their provenance inside the application.
Not every study needs the same depth at every step. Your field, experience, data access and time shape which question comes first. Critical scientific decisions remain yours.
Separate a candidate gap from the contribution that sources actually establish.
Examine the source, passage and limitation behind a claim.
Assess adequacy and prerequisites; plan acquisition when data is missing.
Review the input data, method, run record and output together.
Test weak assumptions, contrary evidence and alternative explanations.
Keep text, decisions and outcome notes in the same research context.
Synthetic research scenario · not real user or success data
SELECTED STAGE
Under which conditions does remote work change knowledge loss inside teams?
Candidates only; full-text verification is in progress.
No novelty claim opens before comparison is complete.
Identify the variables, sources or measurements needed. Compare a bounded analysis of existing data, public-source research or new data acquisition against time, cost, access and ethical conditions. A planned survey, experiment or field study is not collected data.
The workspace uses text, CSV, JSON, text-containing PDF, DOCX and XLSX. The current computation screen offers Python descriptive summaries and linear regression, with separate data adequacy and method approval checks. R or another method can run only when its tool path is available and verified. Uploading code does not automatically execute it.
Limits: 6 MiB per file, up to 16 selected files and 20 MiB per step, and 20 MiB account file storage. Scanned PDFs have no OCR; DOCX reading covers main text and tables. Select an Excel sheet; formula-bearing sheets are not recalculated.
Which assumption is weak, which contrary evidence matters, and is another explanation possible? Examine claims through these questions. Connect reviewer feedback to the relevant text and evidence; distinguish clarification, further work and revision. Accessible current journal requirements can inform preparation; publication acceptance is not promised.
Record different people's input, pending replies and decisions in your work. Return to the earlier source, data used and reason for a change. This way of working also helps General MMT; it does not mean sharing user data or automatically training a model.

You do not need to begin with a method name. Describe your question and what you have.
Describe your work, if you wish