Open policy ontology

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The open policy ontology describes the information structures that are needed to document shared understanding of a complex decision situation.

Question

What information structures and information tools are needed to document shared understanding in such a way that

• it can be operationalised and managed and used for automatic inferences by a computer,
• it can systematically organise information objects used in open assessment, such as variables and statements,
• it can represent each participant's views systematically as a part of the whole even if people disagree,
• it is intuitive enough to be used by non-experts?

Answer

An example of shared understanding related to bioaccumulation of dioxin in Baltic fish. The description contains decisions and objectives, as well as causal connections of relevant phonomena.

Open policy ontology described as a network.

Shared understanding aims at producing a description of different views, opinions, and facts related to a specific topic such as a decision process. The open policy ontology describes the information structures that are needed to document shared understanding of a complex decision situation. The purpose of the structure is to help people identify hidden premises, beliefs, and values and explicate possible discrepancies. This is expected to produce better understanding among participants.

The basic structure of a shared understanding is a network of items and relations between them. This network uses Resource description framework, which is an ontology standard used to describe many Internet contents. Items and relations (aka properties) are collectively called things. Each item is typically of one of the types mentioned below. This information is documented using property instance of (e.g. Goherr assessment is instance of assessment).

Items are written descriptions of the actual things (people, tasks, publications, or phenomena), and on this page we discuss these descriptions rather than the real things. Different item types have different levels of standardisation and internal structure. For example, knowledge crystals are web pages that always have headings question, answer and rationale, and the information is organised under those headings. Some other items describe e.g. statements that are free-text descriptions about how a particular thing is or should be (according to a participant), and yet some others are metadata about publications. A common feature is that all items contain information that is relevant for a decision.

In the open policy ontology, each item may have lengthy texts, graphs, analyses or even models inside them. However, the focus here is on how the items are related to each other. The actual content is often referred to as one key sentence only (description). Each item also has a unique identifier URI that is used for automatic handling of data. Voting age is an example discussion and shows a structured description in table format.

The most important items are knowledge crystals and they are described here.

• Assessment describes a particular decision situation and focuses on estimating impacts of different options. Its purpose is to support the making of that decision. Unlike other knowledge crystals, assessments typically have a defined start and end dates and they are closed after the decision is made. They also have contextually and situationally defined goals`to be able to better serve the needs of the decision makers of the decision.
• Variable answers a particular factual or ethical question that is typically needed in one or more assessments. The answer of a variable is continually updated as new information arises, but its question remains constant in time. Variable is the basic building block of describing reality, i.e. how things are or should be. In R, variables are typically implemented using ovariable objects from OpasnetUtils package.
• Method tells how to systematically implement a particular information task. Method is the basic building block for describing the assessment work (not reality, like variables). In practice, methods are "how-to-do" descriptions about how information should be produced, collected, analysed, or synthesised in an assessment. Typically, methods contain a software code or another algorithm to actually perform the method easily. In R, methods are typically ovariables that require some context-specific upstream information about dependencies before it can be calculated.

There are also other important classes of items:

• Publication is any documentation that contains useful information related to a decision. Publications that are commonly used in Opasnet include encyclopedia article, lecture, nugget, and study. Other publications in Opasnet are typically uploaded as files.
  • Encyclopedia article is an object that describes a topic rather than answers a specific research question. They do not have a predefined attribute structure.
  • Lecture: Lecture contains a piece of information that is to be mediated to a defined audience and with a defined learning objective. It can also be description of a process during which the audience learns, instead of being a passive recipient of information.
  • Nugget is an object that is not editable by other people than a dedicated author (group) and is not expected to be updated once finalised. They do not have a predefined attribute structure.
  • Study describes a research study and its answers, i.e. observational or other data obtained in the study. The research questions are described as the question of the information object, and the study methods are described as the rationale of the object. Unlike in an article, discussion may be missing, and unlike in a variable, the answer and rationale of the study are more or less fixed after the work is done; this is because the interpretations of the results typically happen elsewhere, like in variables for which the study contains useful information.
• Discussion is a hierarchically structured documentation of a discussion about a defined statement or statements.
• Stakeholder page is used to describe a person or group that is relevant for a decision or decision process; they may be an actor that has an active role in decision making or is a target of impacts. Contributors in Opasnet are described on their own user pages; other stakeholders may have their page on the main namespace.
• Process describes elements of a decision process.
• Action describes what, who and when should act to e.g. perform an assessment, make a decision, or implement policies.

Relations show different kinds of connections between items.

• Causal link tells that the subject may change the object (e.g. affects, increases, decreases, prevents).
• Participatory link describes a stakeholder's particular role related to the object (participates, negotiates, decides).
• Operational link tells that the subject has some kind of practical relation to the object (executes, offers, tells).
• Evaluative link tells that the subject shows preference or relevance about the object (has truthlikeness, value, popularity, finds important).
• Referential link tells that the subject is used as a reference of a kind for the object (makes relevant; associates to; has reference, tag, category).
• Argumentative link occurs between statements that defend or attack each other (attack, defend, comment).
• Property link connects an evaluative (acceptability, usability), a logical (opposite, inverse) or set theory (has subclass, has part) property to the subject.

Rationale

Item types

This ontology is specifically about decision making, and therefore actions (and decisions to act) are handled explicitly. However, any natural, social, ethical or other phenomena may relate to a decision and therefore the vocabulary has to be very generic.

Item types(-)

Obs	English name	Finnish name	Relation	Object	Description
1	resource	resurssi			All items and relations are resources.
2	item	asia	subclass of	resource	Items are relevant pieces of information related policy making. Sometimes also refers to the real-life things that the information is about. Items are shown as nodes in insight networks.
3	relation	relaatio	subclass of	resource	Information about how items are connected to each other. Relations are shown as edges in insight networks.
4	substance	ilmiö	subclass of	item	Items about a substantive topic or phenomenon itself: What issues relate to a decision? What causal connections exist between issues? What scientific knowledge exist about the issues? What actions can be chosen? What are the impacts of these actions? What are the objectives and how can they be reached? What values and preferences exist?
5	stakeholder	sidosryhmä	subclass of	item	Items about people or organisations who have a particular role in a policy process, either as actors or targets of impacts: Who participates in a policy process? Who should participate? Who has necessary skills for contributing? Who has the authority to decide? Who is affected by a decision?
6	process	prosessi	subclass of	item	Items about doing or happening in relation with a topic, especially information about how a decision will be made): What will be decided? When will it be decided? How is the decision prepared? What political realities and restrictions exist?
7	action	toiminta	subclass of	item	Items about organising decision support, decision making, implementation, and evaluation: What tasks are needed to collect and organise necessary information? When do these tasks need to be done? Who is responsible of what? How is information work organised? Tasks are also important afterwards to distribute merit and evaluate the process: Who did what? How did information evolve? Where did data come from?
8	information object	tieto-olio	subclass of	item	A specified structure containing information about substance, stakeholders, processes, methods, or actions.
9	knowledge crystal	tietokide	subclass of	information object	information object with a standardised structure and contribution rules
10	assessment	arviointi	subclass of	knowledge crystal	Describes a decision situation and typically provides relevant information to decision makers before the decision is made (or sometimes after the decision about its implementation or success). It is mostly about the knowledge work, i.e. tasks for decision support.
11	variable	muuttuja	subclass of	knowledge crystal	Describes a real-world topic that is relevant for the decision situation. It is about the substance of the topic.
12	method	metodi	subclass of	knowledge crystal	Describes how information should be managed or analysed so that it will answer the policy-relevant questions asked. How to perform information work? What methods are available for a task? How to participate in a decision process? How to use statistical and other methods and tools? How to motivate participation? How to measure merit of contributions?
13	discussion	keskustelu	subclass of	information object	Discussion, or structured argumentation, describes arguments about a particular statement and a synthesis about an acceptable statement. In a way, discussion is (a documentation of) a process of analysing the validity of a statement.
14	fact discussion	faktakeskustelu	subclass of	discussion	Discussion that can be resolved based on scientific knowledge.
15	value discussion	arvokeskustelu	subclass of	discussion	Discussion that can be resolved based on ethical knowledge.
16	statement	väite	part of	discussion	Proposition claiming that something is true or ethically good. A statement may be developed in a discussion by adding and organising related argumentation (according to pragma-dialectics), or by organising premises and inference rules (according to Perelman).
17	value statement	arvoväite	subclass of	statement	Proposition claiming that something is ethically good, better than something else, prioritised over something, or how things should be.
18	fact statement	faktaväite	subclass of	statement	Proposition claiming how things are or that something is true.
19	true value statement	tosi arvoväite	subclass of	value statement	A statement that has not been successfully invalidated.
20	false value statement	epätosi arvoväite	subclass of	value statement	A statement that has been successfully invalidated.
21	true fact statement	tosi faktaväite	subclass of	fact statement
22	false fact statement	epätosi faktaväite	subclass of	fact statement
23	true statement	tosi väite	subclass of	statement
24	false statement	epätosi väite	subclass of	statement
25	opening statement	avausväite	subclass of	statement	A statement that is the basis for a structured discussion, a priori statement.
26	closing statement	lopetusväite	subclass of	statement	A statement that is the resolution of a structured discussion, a posteriori statement. Closing statement becomes an opening statement when the discussion is opened again.
27	fact opening statement	avausfaktaväite	subclass of	opening statement
28	fact closing statement	lopetusfaktaväite	subclass of	closing statement
29	value opening statement	avausarvoväite	subclass of	opening statement
30	value closing stetement	lopetusarvoväite	subclass of	closing statement
31	argument	argumentti	part of	discussion	A statement that has also contains a relation to its target as an integral part. Due to this relation, arguments appear inside discussions and target directly or indirectly the opening statement.
32	argumentation	väittely	part of	discussion	Hierarchical list of arguments related to a particular statement.
33	question	kysymys	part of	knowledge crystal	A research question asked in a knowledge crystal. The purpose of a knowledge crystal is to answer the question.
34	answer	vastaus	part of	knowledge crystal	An answer or set of answers to the question of a knowledge crystal, based on any relevant information and inference rules.
35	rationale	perustelu	part of	knowledge crystal	Any data, discussions, calculations or other information needed to convince a critical rational reader that the answer of a knowledge crystal is good.
36	result	tulos	part of	answer	The actual, often numerical result to the question, conditional on relevant indices.
37	index	indeksi	part of	answer	A list of possible values for a descriptor. Typically used in describing the result of an ovariable.
38	ovariable	ovariable	part of	knowledge crystal	A practical implementation of a knowledge crystal in modelling code. Ovariable takes in relevant information about data and dependencies and calculates the result. Typically implemented in R using OpasnetUtils package and ovariable object type.
39	key ovariable	avainovariable	subclass of	ovariable	An ovariable that is shown on an insight network even if some parts are hidden due to practical reasons.
40	publication	julkaisu	subclass of	information object	Any published report, book, web page or similar permanent piece of information that can be unambiguously referenced.
41	nugget	tiedomuru	subclass of	publication	An object that is not editable by other people than a dedicated author (group).
42	topic	aihe	subclass of	substance	A description of an area of interest. It defines boundaries of a content rather than defines the content itself, which is done by statements. When the information structure is improved, a topic often develops into a question of a knowledge cryatal, while a statement develops into an answer of a variable.
43	objective	tavoite	subclass of	priority	A desired outcome of a decision. In shared understanding description, it is a topic (or variable) that has value statements attached to it.
44	risk factor	riskitekijä	subclass of	substance
45	indicator	indikaattori	subclass of	substance	Piece of information that describes a particular substantive item in a practical and often standard way.
46	risk indicator	riski-indikaattori	subclass of	indicator	Indicator about (health) risk or outcome
47	data	tietoaineisto	subclass of	information object
48	graph	kuvaaja	subclass of	information object	Graphical representation of a piece of information. Typically is related to an information object with ''describes'' relation.
49	data work	tietotyö	subclass of	work
50	data use	tiedon käyttö	subclass of	work
51	priority	prioriteetti	subclass of	substance
52	expense	kustannus	subclass of	substance
53	health impact	terveysvaikutus	subclass of	substance
54	decision maker	päättäjä	subclass of	stakeholder
55	public officer	virkamies	subclass of	stakeholder
56	assessor	arvioija	subclass of	stakeholder
57	expert	asiantuntija	subclass of	stakeholder
58	citizen	kansalainen	subclass of	stakeholder
59	agent	toimija	subclass of	stakeholder
60	task	toimenpide	subclass of	action	action to be taken when the option has been selected
61	decision	päätös	subclass of	action	action to be taken when the option is yet to be selected. Describes a particular event where a decision maker chooses among defined alternatives. This may also be a part of an assessment under heading Decisions and scenarios.
62	work	työ	subclass of	action	continuous actions of the same kind and typically independent of the decision at hand. If the decision changes work routines, the action to make this change happen is called task.
63	prevention	ennaltaehkäisy	subclass of	work	trying to prevent something
64	treatment	hoito	subclass of	work	trying to fix something when something has already happened
65	support	tuki	subclass of	work	work that aids in the completion of the selected option, in whatever way
66	task 1	toimenpide 1	subclass of	task	Numbering is used to differentiate different sources of tasks in insight networks, e.g. tasks that come from different policies.
67	task 2	toimenpide 2	subclass of	task
68	task 3	toimenpide 3	subclass of	task
69	task 4	toimenpide 4	subclass of	task
70	task 5	toimenpide 5	subclass of	task
71	open policy practice	avoin päätöksentekokäytäntö	subclass of	method	framework for planning, making, and implementing decisions
72	open assessment	avoin arviointi	subclass of	method	method answering this question: How can factual and value information be organised for supporting societal decision making when open participation is allowed?
73	analysis	analyysi	subclass of	method
74	reporting	raportointi	subclass of	method
75	measurement	mittaus	subclass of	method
76	study	tutkimus	subclass of	publication
77	encyclopedia article	ensyklopedia-artikkeli	subclass of	publication	An object that describes a topic rather than answers a specific research question.
78	lecture	luento	subclass of	publication	Contains a piece of information that is to be mediated to a defined audience and with a defined learning objective.
79	procedure	toimintamalli	subclass of	method
80	principle	periaate	subclass of	method	a short generic guidance for information work to ensure that the work is done properly. They especially apply to the execution phase.
81	intentionality	tavoitteellisuus	subclass of	principle	The decision maker explicates their objectives and decision options under consideration. All that is done aims to offer better understanding about impacts of the decision related to the objectives of the decision maker. Thus, the participation of the decision maker in the decision support process is crucial.
82	causality	syysuhteiden kuvaus	subclass of	principle	The focus is on understanding and describing the causal relations between the decision options and the intended outcomes. The aim is to predict what impacts will likely occur if a particular decision option is chosen.
83	criticism	kritiikki	subclass of	principle	All information presented can be criticised based on relevance and accordance to observations. The aim is to reject ideas, hypotheses -- and ultimately decision options -- that do not hold against critique. Criticism has a central role in the scientific method, and here we apply it in practical situations, because rejecting poor statements is much easier and more efficient than trying to prove statements true.
84	permanent resource locations	kohteellisuus	subclass of	principle	Information is organised around topics (described as research questions), and each topic has a permanent location where it can be found even if the content develops in time. In practice, these locations are webpages with permanent URLs.
85	openness	avoimuus	subclass of	principle	All work and all information is openly available to anyone interested for reading and contributing all the time. If there are exceptions, these must be publicly justified. Openness is crucial because a priori it is impossible to know who may have important factual information or value judgements about the topic.
86	reuse	uusiokäyttö	subclass of	principle	All information is produced in a format that can easily be used for other purposes by other people. Open data principles are used when possible. For example, some formats such as PDF files are not easily reusable.
87	use of knowledge crystals	tietokiteiden käyttö	subclass of	principle	All information is openly shared using a systematic structure (notably question, answer, and rationale) and permanent locations in a common workspace where all participants can work. Knowledge crystals are used for this. The structure of an assessment and its data is based on substance (i.e. causal, logical and other substantive connections between issues). Objectives determine the information needs, which are then used to define research questions to be answered in the assessment. The assessment work is collaboration aiming to answer these questions in a way that holds against critique. Thus, knowledge crystals are practical information structures that comply with other principles of open assessment.
88	grouping	ryhmäytyminen	subclass of	principle	Facilitation methods are used to promote the participants' feeling of being an important member of a group that has a meaningful purpose.
89	respect	arvostus	subclass of	principle	Contributions are systematically documented and their merit evaluated so that each participant receives the respect they deserve based on their contributions.
90	expense objective	kustannustavoite	subclass of	objective
91	step	jakso	subclass of	process	one of sequential time intervals when a particular kind of work is done. In the next step, the nature of the work changes.
92	decision support	valmistelu	subclass of	step	the first step in a decision process. Helps in collecting necessary information for making a decision.
93	decision making	päätöksenteko	subclass of	step	the second step in a decision process. When the decision makes actually chooses between options.
94	implementation	toimeenpano	subclass of	step	the third step in a decision process. When the chosen option is put in action.
95	phase	vaihe	subclass of	process	one part of a decision work process where focus is on particular issues or methods. Typically phases overlap temporally.
96	shared understanding	jaettu ymmärrys	subclass of	phase	documenting of all relevant views, facts, values, and opinions about a decision situation in such a way that agreements and disagreements can be understood
97	execution	toteutus	subclass of	phase	production of necessary information for a decision at hand
98	evaluation and management	seuranta ja ohjaus	subclass of	phase	ensuring that all work related to a decision will be, is, and has been done properly
99	co-creation and facilitation	yhteenvetämisen taito	subclass of	phase	helping people to participate, contribute, and become motivated about the decision work

Relation types

Relation types(-)

Obs	Class	English name	Finnish name	English inverse	Finnish inverse	Description
1	relation	participatory link	osallisuuslinkki			The subject is a stakeholder that has a particular role related to an object
2	relation	operational link	toimintolinkki			The subject has some kind of practical relation to the object (a fairly wide class)
3	relation	evaluative link	arvostuslinkki			The subject shows preference of relevance about the object
4	relation	referential link	viitelinkki			The subject is used as a reference of a kind for the object
5	relation	argumentative link	argumentaatiolinkki			The subject is used as an argument to criticise the object.
6	relation	causal link	syylinkki			The subject has causal effect on the object (or vice versa in the case of an inverse relation)
7	relation	property link	ominaisuuslinkki			The object describes a defined property of the subject.
8	causal link	negative causal link	negatiivinen syylinkki			The subject reduces or diminishes the object.
9	causal link	positive causal link	positiivinen syylinkki			The subject increases or enhances the object.
10	negative causal link	decreases	vähentää	is decreased by	vähentyy	VAI: VÄHENTÄJÄNÄ, LISÄÄJÄNÄ JNE?
11	positive causal link	increases	lisää	is increased by	lisääntyy
12	negative causal link	worsens	huonontaa	is worsened by	huonontuu
13	positive causal link	improves	parantaa	is improved by	parantuu
14	negative causal link	prevents	estää	is prevented by	estyy
15	positive causal link	enhances	edistää	is enhanced by	edistyy
16	negative causal link	impairs	heikentää	is impaired by	heikentyy
17	positive causal link	sustains	ylläpitää	is sustained by	ylläpitäytyy
18	causal link	affects	vaikuttaa	is affected by	vaikuttuu
19	causal link	indirectly affects	vaikuttaa epäsuorasti	indirectly affected by	vaikuttuu epäsuorasti
20	causal link	cause of	syy	caused by	johtuu	Wikidata property P1542
21	causal link	immediate cause of	välitön syy	immediately caused by	johtuu välittömästi	Wikidata property P1536
22	causal link	contributing factor of	vaikuttava tekijä			Wikidata property P1537
23	participatory link	performs	toteuttaa	performer	toteuttajana	who does a task?
24	participatory link	decides	päättää	decider	päätäjänä
25	participatory link	asks	kysyy	asker	kysyjänä
26	participatory link	participates	osallistuu	participant	osallistujana
27	participatory link	accepts	hyväksyy	accepted by	hyväksyjänä
28	participatory link	develops	kehittää	developed by	kehittäjänä
29	participatory link	proposes	ehdottaa	proposed by	ehdottajana
30	participatory link	answers	vastaa	answered by	vastaajana
31	participatory link	responsible for	vastuussa	responsibility of	vastuullisena
32	participatory link	negotiates	neuvottelee	negotiated by	neuvottelijana
33	participatory link	recommends	suosittelee	recommended by	suosittelijana
34	participatory link	controls	kontrolloi	controlled by	kontrolloijana
35	participatory link	claims	väittää	claimed by	väittäjänä
36	participatory link	owns	omistaa	owned by	omistajana
37	participatory link	does	tekee	done by	tekijänä
38	participatory link	maintains	ylläpitää	maintained by	ylläpitäjänä
39	participatory link	oversees	valvoo	overseen by	valvojana
40	operational link	has option	omistaa vaihtoehdon	option for	vaihtoehtona
41	operational link	has index	omistaa indeksin	index for	indeksinä
42	operational link	tells	kertoo	told by	kertojana
43	operational link	describes	kuvaa	described by	kuvaajana
44	operational link	maps	kartoittaa	mapped by	kartjoittajana
45	operational link	contains data	sisältää dataa	data contained in	data sisältyy
46	operational link	data for	on datana	gets data from	saa datansa
47	operational link	uses	käyttää	is used by	on käytettävänä	an input (object) for a process (subject)
48	operational link	produces	tuottaa	is produced by	tuottajana	Object is an output of a process produced by a stakeholder (subject)
49	operational link	provides	varustaa	is provided by	varustajana
50	operational link	about	aiheesta			a task is about a topic. This overlaps with has topic; merge them?
51	property link	logical link	looginen linkki			Relations based on logic
52	property link	set theory link	joukko-oppilinkki			Relations based on set theory
53	set theory link	part of	osana	has part	sisältää osan	is a part of a bigger entity, e.g. Venus is part of Solar System. Wikidata property P361 (part of) & P527 (has part). Previously we had relations about a decision: substance of, decision process of, stakeholder of, method of, task of, irrelevant to. But these are depreciated and replaced by has part, because the class of the object makes specific relations redundant.
54	set theory link	context for	kontekstina	has context	omistaa kontekstin	Original definition: subject given that object is true. However, this has not been used for that purpose. Unclear if this is needed.
55	set theory link	has subclass	omistaa alajoukon	subclass of	alajoukkona	Wikidata property P279
56	set theory link	has instance	omistaa instanssin	instance of	instanssina	Object belongs to a set defined by the subject and inherits the properties of the set. Sysnonym for has item, which is depreciated. Wikidata property P31
57	logical link	opposite	vastakohta			subject is opposite of object, e.g. black is opposite of white. Wikidata property P461; it is its own inverse
58	logical link	inverse	toisinpäin			a sentence is equal to another sentence where subject and object switch places and has the inverse relation. This is typically needed in preprocessing of insight networks, and it rarely is explicitly shown of graphs. Wikidata property P1696; it is its own inverse
59	logical link	if - then	jos - niin	if not - then not	jos ei - niin ei	If subject is true, then object is true. Also the negation is possible: if - then not. This links to logical operators and, or, not, equal, exists, for all; but it is not clear how they should be used in an insight network.
60	operational link	prepares	valmistelee	prepared by	valmistelijana
61	operational link	pays	kustantaa	paid by	kustantajana
62	operational link	rationale for	perustelee	has rationale	perusteltuu
63	operational link	offers	tarjoaa	offered by	tarjoajana
64	operational link	executes	suorittaa	executed by	suorittajana
65	operational link	irrelevant to	epärelevantti asiassa			If there is no identified relation (or chain of relations) between a subject and an object, it implies that the subject is irrelevant to the object. However, sometimes people may (falsely) think that it is relevant, and this relation is used to explicate the irrelevance.
66	evaluative link	finds important	kokee tärkeäksi	is found important	tärkeäksi kokijana
67	evaluative link	makes relevant	tekee relevantiksi	is made relevant	relevantiksi tekijänä	if the subject is valid in the given context, then the object is relevant. This typically goes between arguments, from a variable to value statement or from a value statement to a fact statement. This is a synonym of 'valid defend of type relevance'.
68	evaluative link	makes irrelevant	tekee epärelevantiksi	is made irrelevant	epärelevantiksi tekijänä	Opposite of 'makes relevant'. Synonym of 'valid attack of type relevance'.
69	evaluative link	makes redundant	tekee turhaksi	is made redundant	turhaksi tekijänä	Everything that is said in the object is already said in the subject. This depreciates a object because it brings no added value. However, it is kept for archival reasons and to demonstrate that the statement was heard.
70	evaluative link	has opinion	on mieltä			Subject (typically a stakeholder) supports the object (typically a value of fact statement). This is preferred over 'values' and 'finds important' because it is more generic without loss of meaning.
71	evaluative link	values	arvostaa	valued by	arvostajana	A stakeholder (subject) gives value or finds an object important. Object may be a topic or statement. Depreciated, use 'has opinion' instead.
72	evaluative link	has truthlikeness	on totuudellinen			A subjective probability that subject is true. Object is a numeric value between 0 and 1. Typically this has a qualifier "according to X" where X is the person or archetype who has assigned the probability.
73	evaluative link	has preference	mieltymys	preference of	mieltymyksenä	Subject is better than object in a moral sense.
74	evaluative link	has popularity	on suosiossa			A measure based on likes given by users.
75	evaluative link	has objective	omaa tavoitteen	objective of	tavoitteena
76	argumentative link	agrees	samaa mieltä
77	argumentative link	disagrees	eri mieltä
78	argumentative link	comments	kommentoi	commented by	kommentoijana
79	argumentative link	defends	puolustaa	defended by	puolustajana
80	argumentative link	attacks	hyökkää	attacked by	hyökkääjänä
81	argumentative link	relevant argument	relevantti argumentti			Argument is relevant in its context.
82	argumentative link	irrelevant argument	epärelevantti argumentti			Argument is irrelevant in its context.
83	argumentative link	joke about	vitsi aiheesta	provokes joke	kirvoittaa vitsin	This relation is used to describe that the subject should not be taken as information, even though it may be relevant. Jokes are allowed because they may help in creating new ideas and perspectives to an issue.
84	referential link	topic of	aiheena	has topic	aiheesta	This is used when the object is a publication and the subject is a (broad) topic rather than a statement. In such situations, it is not meaningful to back up the subject with references. Useful in describing the contents of a publication, or identifying relevant literature for a topic.
85	referential link	discussed in	kerrotaan	discusses	kertoo
86	referential link	reference for	viitteenä	has reference	viite	Subject is a reference that backs up statements presented in the object. Used in the same way as references in scientific literature are used.
87	referential link	states	väittää	stated in	väitetään kohteessa	Describes the source of a statement; may also refer to a person.
88	referential link	tag for	täginä	has tag	omistaa tägin	Subject is a keyword, type, or class for object. Used in classifications.
89	referential link	category for	kategoriana	has category	kuuluu kategoriaan
90	referential link	associates with	liittyy			Subject is associated with object in some undefined way. This is a weak relation and does not affect the outcomes of inferences, but it may be useful to remind users that an association exists and it should be clarified more precisely. This is its own inverse.
91	referential link	answers question	vastaa kysymykseen	has answer	vastaus	Used between a statement (answer) and a topic (question). In knowledge crystals, the relation is embedded in the object structure.
92	irrelevant argument	irrelevant comment	epärelevantti kommentti			We don't need inverses, because the relation is always tied with an argument (the subject).
93	irrelevant argument	irrelevant attack	epärelevantti hyökkäys
94	irrelevant argument	irrelevant defense	epärelevantti puolustus
95	relevant argument	relevant comment	relevantti kommentti
96	relevant argument	relevant attack	relevantti hyökkäys
97	relevant argument	relevant defense	relevantti puolustus
98	property link	evaluative property	arviointiominaisuus			characteristic of a product or work that tells whether it is fit for its purpose. Especially used for assessments and assessment work.
99	evaluative property	property of decision support	päätöstuen ominaisuus			What makes an assessment or decision support process fit for its purpose?
100	evaluative property	setting of assessment	arvioinnin kattavuus			What is the context and boundaries of an assessment?
101	setting of assessment	impacts	vaikutukset			Which impacts are addressed in assessment?
102	setting of assessment	causes	syyt			Which causes of impacts are recognised in assessment?
103	setting of assessment	problem owner	asianomistaja			Who has the interest, responsibility and/or means to assess the issue?
104	setting of assessment	target users	kohderyhmä			Who are the intended users of assessment results?
105	setting of assessment	interaction	vuorovaikutus			How openly is an assessment produced?
106	interaction	dimension of openness	avoimuuden ulottuvuus			What is the degree of openness in assessment (and management)?
107	dimension of openness	scope of participation	osallistumisen avoimuus			Who are allowed to participate in the process?
108	dimension of openness	access to information	tiedon avoimuus			What information about the issue is made available to participants?
109	dimension of openness	timing of openness	osallistumisen ajoitus			When are participants invited or allowed to participate?
110	dimension of openness	scope of contribution	osallistumisen kattavuus			To which aspects of the issue are participants invited or allowed to contribute?
111	dimension of openness	impact of contribution	osallistumisen vaikutus			How much are participant contributions allowed to have influence on the outcomes? In other words, how much weight is given to participant contributions?
112	interaction	category of interaction	vuorovaikutuksen luokka			How does assessment interact with the intended use of its results? Possible values: isolated (eristetty), informing (tiedottava), participatory (osallistava), joint (yhteistyöhakuinen), shared (jaettu).
113	property of decision support	quality of content	sisällön laatu
114	quality of content	informativeness	tarkkuus			specificity of information, e.g. tightness of spread for a distribution. How many possible worlds does the answer rule out? How few possible interpretations are there for the answer?
115	quality of content	calibration	harhattomuus			exactness or correctness of information. In practice often in comparison to some other estimate or a golden standard. How close is the answer to reality or real value?
116	quality of content	coherence	sisäinen yhdenmukaisuus			correspondence between questions and answers. Also between sets of questions and answers. How completely does the answer address the assessment question? Is everything addressed? Is something unnecessary?
117	property of decision support	applicability	sovellettavuus			properties in relation to the user needs in a decision process
118	applicability	relevance	merkityksellisyys			correspondence between output and its intended use. How well does the information provided by the assessment serve the needs of the users? Is the assessment question good?
119	applicability	availability	saatavuus			accessibility of the output to users in terms of e.g. time, location, extent of information, extent of users. Is the information provided by the assessment available when, where and to whom is needed?
120	applicability	usability	käytettävyys			potential of the information in the output to trigger understanding in its users about what it describes. Can the users perceive and internalise the information provided by the assessment? Does users' understanding increase about the assessed issue?
121	applicability	acceptability	hyväksyttävyys			potential of the output being accepted by its users. Fundamentally a matter of its making and delivery, not its information content. Is the assessment result (output), and the way it is obtained and delivered for use, perceived as acceptable by the users?
122	property of decision support	efficiency	tehokkuus			relation of output and resources used to produce it.
123	efficiency	intra-assessment efficiency	sisäinen tehokkuus			resource expenditure of producing the assessment output. How much effort is spent in the making of an assessment?
124	efficiency	inter-assessment efficiency	ulkoinen tehokkuus			resource expenditure of producing assessment outputs in a series of assessments. If another (somewhat similar) assessment was made, how much (less) effort would be needed?

• Relations indicator, risk indicator, effectiveness indicator, operational indicator are depreciated. Use item class operational indicator and relation describes.
• Relations judgement, value judgement, value resolution, value, reach, fact judgement, estimate, fact resolution are unclear and therefore depreciated.

Calculations

+ Show code- Hide code # This is code Op_en3861/ on page [[Open policy ontology]] library(OpasnetUtils) #library(shiny) lang <- "Finnish" objects.latest("Op_en3861", code_name="makeGraph") items <- opbase.data("Op_en7783", subset="Item types") relat <- opbase.data("Op_en7783", subset="Relation types") for(i in colnames(items)) {items[[i]] <- as.character(items[[i]])} for(i in colnames(relat)) {relat[[i]] <- as.character(relat[[i]])} ontology <- Ovariable( "ontology", data = data.frame( Context="ontology", Item=c( items[["English name"]], # items, their types, and classes relat[["English name"]]), # relations and their types # relat[["English name"]), # relations and their inverses label = c( items[[paste(lang,"name")]], # items, their types, and classes relat[[paste(lang,"name")]]), # relations and their types # relat[["English name"]]), # relations and their inverses type=c( items[["English name"]], relat[["English name"]]), # relat[["English inverse"]]), rel=c( items$Relation, rep("subclass of", nrow(relat))), # rep("inverse of", nrow(relat))), Object=c( items$Object, relat$Class), # relat[[paste(lang,"inverse")]]), Description = "", Reldescrition = "", URL = "" ) ) ontology@meta$insightnetwork <- list( steps=1, language = "English" ) ontology <- EvalOutput(ontology) gr<- makeGraph(ontology) # export_graph(gr, "Open policy ontology network.svg") render_graph(gr) # shinyApp(ui, server, enableBookmarking = "url")

How to manage shared understanding

Shared understanding is a structured description of a decision situation. A key idea is that it is much faster to produce than a quantitative assessment, is more usefully organised than a free-format document (not to mention unmoderated discussions), and can distill information from both into a coherent information structure.

What steps does the work process contain?

1. Take a new piece of information.
2. Identify a decision situation to which it is relevant (or it is commonly considered relevant even if it is not).
3. Choose one of the topical relations for the piece.
4. Link the piece to something else within the decision situation with a relation. If it links to nothing, it is irrelevant.
5. Add descriptive tags, references etc. as appropriate.
6. Link the relations to the decision situation the relation part of (this should happen automatically).

Questions for further developing shared understanding:

• What are the main questions within each topical area?
• What are necessary structures and relations?
• What software tools can be used?

Potential tools for managing the information

• Google Drive graphical tool [1]
• Protégé software for ontologies
• Wikidata for RDF database using Wikibase software [2]
• Git for version control [3]
• Shiny R package for user interface [4] [5]
  • Shiny packages for user table output dataTableOutput [6] ShinySky
• R and D3 [7][8]

Example of using the structure

Columns that may have several values per risk are marked with *

Riskilomake (a variable with the question: What is a risk that is relevant for the success of THL's mission? There are several variables with an identical question, but each variable describes exactly one risk as an answer.)

Each column is described within the variable answer unless otherwise noted a property that is used to link the column contents to the variable.

id# Tarkastelukohde (yksikkö) * (has tag) Riskialue (aihepiiri karkea) * (has tag) Sisäalue / sisältösivu (aihepiiri tarkka) * (has tag) Riski Tarkennus Todennäköisyys Vakavuus Riskiluku (todennäköisyys*vakavuus) Hallintatoimet (kpl) Muistiinpanot Omistaja Tila Hallintatoimien valmius-% Omat liitteet * Luotu (automatic from version control) Päivitetty (automatic from version control)

Hallintatoimilomake (many-to-many relationship with risks) id# Hallintatoimi Määräpäivä Vastuuhenkilö Tila Omat liitteet * Luotu (automatic from version control) Päivitetty (automatic from version control)

Example about climate neutrality in Helsinki

• Hiilineutraali Helsinki
• Toimenpideohjelma, työpaja 1
• Toimenpideohjelma, taulukko
• Climate-KIC proposals

Example about Arvoprofiili

• op_fi:Arvoprofiili
• Arvoprofiilin rahoitusmahdollisuuksia
• Arvoprofiili-hack 6.5.2017
• Kira-digi-rahoitushaku

Example about fisheries management in the Baltic Sea

• Susan Star: This is not a boundary object. SSHV 2010

Technical prerequisites

Open policy ontology can be implemented using an RDF database, e.g. Wikibase. These are some links to resources and guidance about that.

• A test instance of Wikibase in the testwiki of Opasnet
  • Discussion about an installation problem that also occurred in "Opasdata"
• Wikibase · resources
  • Wikibase installation
  • Composer for managing Wikibase installation extensions
• Wikimedia Suomi: hallitus
• Wikidatan kahvihuone
• Sitran siilonmurtajat-kokeilurahoitus DL 31.1.2018

Related concepts

Deliberative democracy

James Fishkin, a key proponent of deliberative democracy, describes two approaches to public opinion, raw vs. refined: what people actually think vs. what their opinion would be after it has been tested by the consideration of competing arguments and information coscientiously offered by others who hold contrasting views. Political process can be seen as whether a filter or a mirror. The filter creates counterfactual but deliberative representations of public opinion. The mirror offers a picture of public opinion just as it is, even if it is debilitated or inattentive. The conflicting images suggest a hard choice between the reflective opinion of the filter and the reflected opinion of the mirror.

It is only through the deliberations of a small face-to-face representative body that one can arrive at the "cool and deliberate sense of the community" (James Madison, Federalist No 63). ... A key desideratum in the Founders' project of constitutional design was the creation of conditions where the formulation and expression of deliberative public opinion would be possible. A smallish group of randomly selected people are likely to act as a filter, while e.g. a referendum would act as a mirror. During the early days of the United States, James Madison actively designed governance structures that would enable the formation of refined public opinion in the national US policy. The electorate was such a construct, designed to enable informed argumentation about president candidates before the final vote. However, this role has completely disappeared, as nowadays the outcome of the electoral vote is known as soon as the composition of the electorate is known.

Shared understanding follows these lines of reasoning and aims to produce a deliberative outcome of informed argumentation. However, the major difference is that the deliberative process does not aim to produce a decision by the participants, but a comprehensive description of shared understanding with all relevant points and disagreements. This written description enables other people to learn and form their own opinions of the matter, and thus help in other similar decision situations. Although producing such a description may be time-consuming and labourious, re-usability of the information makes it worth the effort.

Cognitive democracy

• Henry Farrell (George Washington University), Cosma Shalizi (Carnegie Mellon University and The Santa Fe Institute). 2012?. An Outline of Cognitive Democracy [9],

Farrell and Shalizi analyze three main approaches to socially achieve results: hierarchies in different forms (with problems that those who are in power are not receiving information from the others); markets (with problems that they converge to individual benefit, which is sometimes in conflict with social benfit), and democracy (with problem how to actually implement the main principle of equal power among individuals). They suggests approaches to improve democracy.

Pol.is

Pol.is is a website for organised democratic discussion. It helps large organizations and communities understand themselves by visualizing what people think.

• An example discussion about sote indicators [10] (in progress)
• A case study of temperature check [11]
• A case study from Taiwan [12]: vTaiwan: Public Participation Methods on the Cyberpunk Frontier of Democracy. In the midst of the signal failure known as the US electoral season, here’s something to be inspired about: a true story about rational deliberation on a national scale.

Professionalism

Jonathan Rauch and Benjamin Wittes. (May 2017) More professionalism, less populism: How voting makes us stupid, and what to do about it. Center for Effective Public Management at Brookings. [13]

Rauhankone

Artificial intelligence may solve some of the structural problems related to development of shared understanding. How this would actually happen is largely unclear. However, professor Timo Honkela is working toward this aim. For more details, see op_fi:Rauhankone.

Inforglobe

A similar but simpler approach is by Mikaeli Langinvainio and Juha Törmänen, who used to work for Crisis Management Initiative. They use statistics to understand views and opinions of different stakeholder groups. (HS 25.6.2017 Voiko rauhanneuvotteluja edistää matematiikalla?) Their company inforglobe produces consulting services based on these ideas. [14]

Their web tool contains these information structures and functionalities (for more details, see Inforglobe link above):

Likelihood of affecting the project vs impact for the project vs knowledge level on the risk or threats vs opportunities

Attributes

• Categories (e.g. project planning, logistics and safety, or joker risks)
• Participants (e.g. project team, planning organisation, partner organisation, or customer representative)

Issues e.g.

• Contractor network (joker)
• Cost stucture (planning)
• Logistics
• Machinery placement (logistics and safety)
• Staff competence (planning)

Values e.g.:

• Large or small 1-5
• Likely 1-5
• Knowledge good 1-5

Additional properties

• Each value can be enhanced with a suggestion how to mitigate the impact or decrease the likelihood.
• Individual answers can be shown with participant attributes and suggestions.
• Each issue has a more detailed description.
• Based on individual answers, you can make shared conclusions about each issue and how to manage the risks.
• Assessment can be done several times.
• Participants can be categorised based on position or sector (and maybe other attributes as well)

System dynamic maps

• Issues as nodes
• Complex system maps: Causal edges between them with strength
• Significance of edges (links) is measured in some way and used to select nodes and edges for display
• Co-operation: Links can also describe how well items (in this case organisations) communicate with each other.

See also

• Archived version 4.11.2018 before a major update
• Health decision ontology
• Voting age
• Shared understanding
• op_fi:Yhtäköyttä-hankkeen loppuraportti
• Open policy ontology
• Other examples of shared understanding (op_fi:Jaetun ymmärryksen menetelmä in Finnish):
  • op_fi:Keskipitkän aikavälin ilmastopolitiikan suunnitelma,
  • op_fi:Energiarenessanssi,
  • op_fi:Pietarsaaren rokotuskeskustelu
• en:Deliberative democracy