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Tan, Yi-Roe
,
Agrawal, Anurag
and
Stinckwich, Serge
, (
2022
).
A call for citizen science in pandemic preparedness and response: beyond data collection
.
BMJ Global Health
,
7
(
6
),
n/a
-
n/a
94
27
Combemale, Benoit
,
Kienzle, Jorg
,
Mussbacher, Gunter
,
Ali, Hyacinth
,
Amyot, Daniel
,
Bagherzadeh, Mojtaba
,
Batot, Edouard
,
Bencomo, Nelly
,
Benni, Benjamin
,
Bruel, Jean-Michel
,
Cabot, Jordi
,
Cheng, Betty
,
Collet, Philippe
,
Engels, Gregor
,
Heinrich, Robert
,
Jezequel, Jean-Marc
,
Koziolek, Anne
,
Mosser, Sebastien
,
Reussner, Ralf
,
Sahraoui, Houari
, (
2021
).
A Hitchhiker's Guide to Model-Driven Engineering for Data-Centric Systems
.
IEEE Software
,
38
(
4
),
71
-
84
644
Philippe de Wilde
,
Payal Arora
,
Fernando Buarque
,
Yik Chin
,
Thinyane, Mamello
,
Stinckwich, Serge
,
Eleonore Fournier-Tombs
and
Tshilidzi Marwala
(
2024
).
Recommendations on the Use of Synthetic Data to Train AI Models
.
United Nations University
.
154
1203
Tshilidzi Marwala
,
Eleonore Fournier-Tombs
and
Stinckwich, Serge
(
2023
).
Regulating Cross-Border Data Flows: Harnessing Safe Data Sharing for Global and Inclusive Artificial Intelligence
.
UNU Technology Brief
.
United Nations University
.
294
856
Fodjo, A. Yvan Guifo
,
Ziane, Mikal
,
Stinckwich, Serge
,
Bui, Thi-Mai-Anh
and
Bowong, Samuel
, "
Separation of Concerns in Extended EpidemiologicalCompartmental Models
"
15th International Joint Conference on Biomedical Engineering Systems and Technologies
,
Online
,
2022/02
.
79
27
Tshilidzi Marwala
,
Eleonore Fournier-Tombs
and
Stinckwich, Serge
(
2023
).
The Use of Synthetic Data to Train AI Models: Opportunities and Risks for Sustainable Development
.
UNU Technology Brief
.
United Nations University
.
574
1451