TY - GEN
T1 - Launching Successful Datathons
T2 - ASCE International Conference on Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation, i3CE 2023
AU - Ergan, Semiha
AU - Dai, Fei
AU - Du, Eric
AU - Akhavian, Reza
N1 - Publisher Copyright:
© 2024 Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Experiential learning has been an effective educational tool and provides a learning experience to students via "learning by doing." Different forms of experiential learning practices are available for students in existing curriculums such as internships, field works, gaming/simulations, volunteering, and hackathons. Datathons, a form of hackathons that focus on data, have been effective in the computer science community and have been successfully launched in recent years in the architectural, engineering, construction (AEC) community as well. ASCE Computing Division's Visualization, Information Modeling, and Simulation (VIMS) Committee has successfully launched datathons for the past couple years. Our experience shows that datathons require a significant thought process during the planning phase and a sound outreach plan for execution of these datathons to bring diversity to the pool of participants. This paper reports on the lessons learned (LL) accumulated over the past years while launching these datathons and aims to help communities from academia and industry for hosting future datathons by leveraging these LL for improved student experience. The lessons learned will be discussed in relation to the planning, data preparation, and outreach phases of datathons.
AB - Experiential learning has been an effective educational tool and provides a learning experience to students via "learning by doing." Different forms of experiential learning practices are available for students in existing curriculums such as internships, field works, gaming/simulations, volunteering, and hackathons. Datathons, a form of hackathons that focus on data, have been effective in the computer science community and have been successfully launched in recent years in the architectural, engineering, construction (AEC) community as well. ASCE Computing Division's Visualization, Information Modeling, and Simulation (VIMS) Committee has successfully launched datathons for the past couple years. Our experience shows that datathons require a significant thought process during the planning phase and a sound outreach plan for execution of these datathons to bring diversity to the pool of participants. This paper reports on the lessons learned (LL) accumulated over the past years while launching these datathons and aims to help communities from academia and industry for hosting future datathons by leveraging these LL for improved student experience. The lessons learned will be discussed in relation to the planning, data preparation, and outreach phases of datathons.
UR - http://www.scopus.com/inward/record.url?scp=85184282281&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85184282281&partnerID=8YFLogxK
U2 - 10.1061/9780784485231.008
DO - 10.1061/9780784485231.008
M3 - Conference contribution
AN - SCOPUS:85184282281
T3 - Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
SP - 62
EP - 69
BT - Computing in Civil Engineering 2023
A2 - Turkan, Yelda
A2 - Louis, Joseph
A2 - Leite, Fernanda
A2 - Ergan, Semiha
PB - American Society of Civil Engineers (ASCE)
Y2 - 25 June 2023 through 28 June 2023
ER -