Name
Abstract | ||
|---|---|---|
The needs of vulnerable populations have been addressed, traditionally, by an ecosystem of private and public agencies that rely on donations (goods, money and services) which they re-distribute based on their perception of what is needed and where. This approach lacks a comprehensive understanding of the demand side as well as the ability to coordinate between various suppliers of goods and services, predict future demand and identify latent supply. We present a knowledge-based platform that utilizes advances in several Artificial Intelligence fields for a more efficient and effective way of provisioning goods and services to people in need. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/IHTC.2017.8058188 | 2017 IEEE Canada International Humanitarian Technology Conference (IHTC) |
Keywords | Field | DocType |
public agencies,virtual marketplace,vulnerable populations,private agencies,people with social needs,knowledge-based platform,artificial intelligence field,goods provisioning,service provisioning,demand prediction,latent supply identification | Computer security,Goods and services,Product market,Provisioning,Perception,Marketing,Business | Conference |
ISBN | Citations | PageRank |
978-1-5090-6265-2 | 0 | 0.34 |
References | Authors | |
15 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniela Rosu | 1 | 8 | 3.22 |
| Dionne Aleman | 2 | 135 | 13.51 |
| J. Christopher Beck | 3 | 911 | 84.53 |
| Mark Chignell | 4 | 1159 | 153.58 |
| Mariano P. Consens | 5 | 1203 | 387.78 |
| Mark S. Fox | 6 | 1418 | 377.32 |
| Michael Grüninger | 7 | 1561 | 172.74 |
| Chang Liu | 8 | 571 | 117.41 |
| Yi Ru | 9 | 1 | 3.41 |
| Scott Sanner | 10 | 888 | 60.81 |