DTEF [indiv]: Predict individual answers for Italy (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Israel (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Japan (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Indonesia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for India (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Chile (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Germany (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Egypt (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for China (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Canada (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Brazil (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Bangladesh (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for More excited than concerned (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Australia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for More concerned than excited (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Equally concerned and excited (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 56-65 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 46-55 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 36-45 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 26-35 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 18-25 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 36-45 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 18-25 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Other religious group (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Judaism (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Islam (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for I do not identify with any religious group or faith (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Hinduism (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Christianity (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Buddhism (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Male (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for South Africa (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Singapore (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Poland (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Pakistan (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Philippines (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Morocco (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Mexico (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Malaysia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Korea South (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Kenya (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Kazakhstan (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Japan (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Italy (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Israel (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Indonesia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for India (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Germany (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Egypt (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for China (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Other religious group (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Judaism (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Islam (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for I do not identify with any religious group or faith (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Hinduism (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Christianity (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Buddhism (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Male (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Chile (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Canada (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Female (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Urban (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Suburban (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Rural (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Vietnam (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Brazil (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for United States (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for United Kingdom (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Spain (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for South Africa (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Singapore (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Poland (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Philippines (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Pakistan (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Morocco (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Mexico (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Malaysia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Korea South (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Kenya (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Kazakhstan (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Japan (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Italy (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Indonesia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Israel (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for India (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Germany (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Egypt (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for China (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Chile (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Canada (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Brazil (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Bangladesh (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for More excited than concerned (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Australia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for More concerned than excited (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Urban (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Female (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Equally concerned and excited (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 56-65 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 46-55 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 26-35 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Suburban (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Rural (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Vietnam (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for United Kingdom (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Spain (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for United States (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for More excited than concerned (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Bangladesh (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for Australia (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for More concerned than excited (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 46-55 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)

DTEF [indiv]: Predict individual answers for 56-65 (10 participants). Source: Global Dialogues GD4 (https://github.com/collect-intel/global-dialogues)