The document discusses the transformation of care through sociotech design and the integration of AI and big data. It emphasizes the importance of dynamic and persuasive design in understanding user behavior and content moderation. Additionally, it explores ethical considerations and the impact of design on engagement and participation in various contexts.

1. SELF-
CONTAINED
SELF-
DRIVEN
JANUARY
1st
TRANSFORMING
CHANGE CARE SOCIOTECH DESIGN
SMART
CLASSIFY UNDERSTAND AI / BIG DATA
SENSING
READ FEEL SENSORS
MEDIAT ED
ALGORIT H MIC
MODERAT ED
USER
BEH AVIOR
USER
CON T EN T
DYN AMIC
DESIGN
DYN AMIC
CON T EN T
PERSUASIVE
DESIGN
TRIANGLE
CURVE
DEFINITION
CIRCLES
LAYERS
SOCIUM
MODERATION
ETHICS
CT
COMPETITION
SL
LEARNING
SC
COMPARISON
CR
COOPERATION
NI
NORMATIVE
SF
FACILITATION
RE
RECOGNITION
INVOLVEMENT
ENGAGEMENT
PARTICIPATION
POSITIVENEGATIVE
INTENDED
UNINTENDED
MAJOR MINOR
HIGH
LOW
BACKFIRING
TARGET
SURPRISE
DARK GREY
INVISIBLE
VISIBLE
DARK

2. ATTITUDE
BEHAVIOR
ENVIRONMENT

3. ATTITUDE
ENVIRONMENT
-
+
+

4. PEOPLE METRIC
BEHAVIOR TODAY
TRANSFORMATION FUTURE

5. SELF-
CONTAINED
SELF-
DRIVEN
JANUARY
1st
SELF-
DRIVEN
SELF-
CONTAINED
JANUARY
1st

6. TRANSFORMING
CHANGE CARE SOCIOTECH DESIGN
SMART
CLASSIFY UNDERSTAND AI / BIG DATA
SENSING
READ FEEL SENSORS

7. CT
COMPETITION
SL
LEARNING
SC
COMPARISON
CR
COOPERATION
NI
NORMATIVE
SF
FACILITATION
RE
RECOGNITION
INVOLVEMENT
ENGAGEMENT
PARTICIPATION

8. MEDIATED
ALGORITHMIC
MODERATED
USER
BEHAVIOR
USER
CONTENT
DYNAMIC
DESIGN
DYNAMIC
CONTENT
PERSUASIVE
DESIGN

9. POSITIVENEGATIVE
INTENDED
UNINTENDED
MAJOR MINOR
HIGH
LOW
BACKFIRING
TARGET
SURPRISE
DARK GREY
INVISIBLE
VISIBLE
DARK