Crowdseeding in Eastern Congo
Using Cell Phones to Collect Conflict Events Data in Real Time
Bibliographic Data
| ID | 6285310 |
|---|---|
| Authors | Peter Van Der Windt (0000-0003-1487-473X, New York University Abu Dhabi, United Arab Emirates), Michael Humphreys (0000-0001-7029-2326, Columbia University, New York, NY, USA), Macartan Humphreys |
| Year | 2016 |
| Volume | 60 |
| Issue | 4 |
| Pages | 748-781 |
| Publication date | 2016-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Conflict Resolution (JOURNAL) |
| Journal identifiers | ISSN: 0022-0027 • E-ISSN: 1552-8766 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0022002714553104 |
| OpenAlex | W2330276258 |
| Language | EN |
| Citations received | 24 |
| References cited | 52 |
Poor-quality data about conflict events can hinder humanitarian responses and bias academic research. There is increasing recognition of the role that new information technologies can play in producing more reliable data faster. We piloted a novel data-gathering system in the Democratic Republic of Congo in which villagers in a set of randomly selected communities report on events in real time via short message service. We first describe the data and assess its reliability. We then examine the usefulness of such “crowdseeded” data in two ways. First, we implement a downstream experiment on aid and conflict and find evidence that aid can lead to fewer conflict events. Second, we examine conflict diffusion in Eastern Congo and find evidence that key dynamics operate at very micro levels. Both applications highlight the benefit of collecting conflict data via cell phones in real time
Armed conflict · Business · Computer security · Data collection · Data quality · Data science · Democracy · Downstream (manufacturing · Key (lock · Political science · Politics · Public relations · Quality (philosophy · Reliability (semiconductor · Service (business · Set (abstract data type · Social science · Sociology · Computer Science · COVID-19 epidemiological studies · Experimental Behavioral Economics Studies · Game Theory and Applications · Law · Marketing
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| Unique citing works | 24 |
|---|---|
| Citations per year | 2,4 |
| Citation span | 2016 - 2026 (11) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 24 |