Characteristics of Trust in a Time of Big Data

Implications for Life in a Time of Big Data
Goals, Methods and Models, Dilemmas and Opportunities
Ann Racuya-Robbins
February 20160229 —Spring 2016
1. Big Data Goals for Life — Survival?
Today the world store of human life has grown greatly. It is not clear that any other form of life has increased as rapidly, except perhaps the microbes and other life that cohabitates on/in human life. This increase has brought with it many concurrent and emergent problems and opportunities for life, not only human but all life. These problems and opportunities have simultaneously brought to bear the limits of our creative capabilities in understanding human survival and the survival of life. Someones of us have yelled fire, and millions of people and their technology are looking for answers and understanding. Generally speaking this development is a good thing; on some level every life wants to survive and even flourish and thrive. The question and the context then becomes; Is our collective effort of gathering knowledge—data and information for the survival of life?
For now it is important not to be distracted nor to make too much of the differences in terminology here of data, information and knowledge, as if in our case, data is something fundamentally different from information and knowledge. It is not. It may be reasonable to point out that data and information are kinds of knowledge and/or contexts of knowledge without inferring that these contextual differences are greater than the common ground of knowledge. We could claim our subject to be Big Knowledge or Big Information. For now Big Data may suffice. Later there will be time and effort applied to pinning the technological details of our project.
What makes data, knowledge or information Big? A hundred years hence?
What makes data Big Data? This is a second motive for our work here. To be sure one cause is simply the increase in human life population. This increase has created an increase in the volume of knowledge from data collected. This is the first characteristic identified in the NBDPWG Volume One Definitions. Because the data/information/knowledge comes largely from and in association with life it is full of variety another characteristic of Big Data. Life is at every instance various and significant, unique and changeable. Variety is a form of knowledge that changes over time. Knowledge of life that changes over time can be a picture, a life pattern. Highly detailed life patterns that change over time identify and are in aspects individual lives. Because of the volume and variety of knowledge from data there is both an apparent and real need for speed and velocity to understand this volume and variety. This apparent and real need for speed and velocity is both an intuitive and practical pressure being placed on technology to manage Bigness. Of course bigness is a relative and changeable term. More on this later. For today it might be more precise to say that human life is trying to find a strategy and technology for bringing together in an intelligible way differences in the speed and velocity of knowledge creation.

Implicit
For Whom
For What
For When
Principles
Projected
For Whom
For What
For When
Principles

2. Living Methods and Models
The Role of Thinking
The Role of Reflection
The Role of Metaphor
and Mapping
The Role Security
The Role of Privacy

3. Dilemmas and Opportunities for Life
Concurrency, Simultaneity, Parallelism and the Scientific Method
Uncertainty
Is it obsolete as an organizing principle?
Provenance
What history? From when?
Ownership
Orchestration and Orchestrator
Governance and Government
Emergence
PII

The Human Trust Experience and The Importance of Economic Inclusion

Critical to the success of the NSTIC Strategy and the IDESG is the breadth and depth of trust and confidence, innovation and economic progress it releases created through the standards and certification it accredits. As Obama said in his release of the NSTIC Strategy “…we cannot know what companies have not been launched, what products or services have not been developed…what we do know is this: by making online transactions more trustworthy and enhancing consumers’ privacy…we will foster growth and innovation, online and across our economy in ways we can scarcely imagine…ultimately, that is the goal of this strategy.”
Precisely because we cannot predict how innovations will emerge and from whom we cannot rightfully leave anyone out by making barriers for participation or designing solutions without questioning our assumptions. We don’t know if innovations will come from the self-employed, the small business, the large business or even the unemployed. Evaluation of issues of economic inclusion must be central to the development of the Identity Ecosystem Framework, the identification and authentication standards risk models (NSTIC Objective 1.2) and the administration of the standards development and accreditation (NSTIC Objective 1.4) and ultimately the promise of our democracy to govern and fulfill its promise of equal opportunity.

Economic Inclusion and the Human Trust Experience

Integrating Economic Inclusion

Economic Inclusion is a part of the larger subject of inclusion. Here I am referring particularly to integrating economic inclusion into Information and Communication Technology (ICT) and on the internet in general.

Related subjects are universal design and diversity among others.

Purpose and Key Features

Improving the human trust experience across the economic spectrum and stakeholders in our democracy.
Ensuring that people and businesses across the economic spectrum including the middle and low end are welcomed and included.

• Ensuring that the needs and opportunities in all areas of contemporary life including business models, value propositions, standards and work products serves the needs of people and businesses of the middle and low end of economic spectrum.

• Increasing cooperation and life sustaining development of products and services.

Methods

• Integration of economic inclusion and human trust experience evaluation criteria into the development and contemporary communities around the world.
• To connect with and liaise with others creating to create Human Trust Experience Ambassadorships to voice the needs of the human trust experience

Examples of Economic Inclusion Criteria and Human Trust Experience Criteria are:

• Risk Evaluation by Perspective
• Purchasing Power Parity
• Micro business pricing (USPTO)