TY - GEN
T1 - Crowdlaw
T2 - 7th International Conference on Inventive Computation Technologies, ICICT 2024
AU - Vargas-Murillo, Alfonso Renato
AU - De La Asuncion Pari-Bedoya, Ilda Nadia Monica
AU - Delgado-Chávez, Cintya Amelia
AU - Taipe, Edison Menacho
AU - Cuba, Claudia Katherine Reyes
AU - Cauti, Guisseppi Paul Morales
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This systematic literature review examines key design elements, methodologies, technologies, and challenges in Crowdlaw initiatives that seek to leverage emerging technologies for collective intelligence and enhanced citizen participation in legislative and policy processes. Through a narrative synthesis of 18 selected research works, the review highlights the diversity of Crowdlaw implementations, the importance of aligning platform functionalities with informational needs at different stages of law and policymaking, and the potential of technologies like machine learning to enhance the scalability and effectiveness of these processes. However, challenges persist in ensuring inclusive participation, efficient contribution analysis, and institutional uptake. The study points to the need for further research on context-sensitive design frameworks, advanced collective intelligence techniques, and strategies for embedding Crowdlaw into existing democratic institutions. Realizing the full potential of Crowdlaw requires carefully tailored socio-technical approaches that prioritize democratic values while leveraging the affordances of emerging technologies.
AB - This systematic literature review examines key design elements, methodologies, technologies, and challenges in Crowdlaw initiatives that seek to leverage emerging technologies for collective intelligence and enhanced citizen participation in legislative and policy processes. Through a narrative synthesis of 18 selected research works, the review highlights the diversity of Crowdlaw implementations, the importance of aligning platform functionalities with informational needs at different stages of law and policymaking, and the potential of technologies like machine learning to enhance the scalability and effectiveness of these processes. However, challenges persist in ensuring inclusive participation, efficient contribution analysis, and institutional uptake. The study points to the need for further research on context-sensitive design frameworks, advanced collective intelligence techniques, and strategies for embedding Crowdlaw into existing democratic institutions. Realizing the full potential of Crowdlaw requires carefully tailored socio-technical approaches that prioritize democratic values while leveraging the affordances of emerging technologies.
KW - Citizen Participation
KW - Collective Intelligence
KW - Crowdlaw
KW - Crowdsourcing
KW - Design
KW - Implementation
UR - http://www.scopus.com/inward/record.url?scp=85196061334&partnerID=8YFLogxK
U2 - 10.1109/ICICT60155.2024.10544756
DO - 10.1109/ICICT60155.2024.10544756
M3 - Conference contribution
AN - SCOPUS:85196061334
T3 - 7th International Conference on Inventive Computation Technologies, ICICT 2024
SP - 288
EP - 293
BT - 7th International Conference on Inventive Computation Technologies, ICICT 2024
Y2 - 24 April 2024 through 26 April 2024
ER -