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2019 CGIAR Big Data in Agriculture Platform Convention
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Cheryl Porter
University of Florida
Coordinator, Computer Research Applications
University of Florida
https://agmip.org
Data interoperability tools for quantitative analyses.
Monday
, October 14
8:30am GMT+05
Data and information management CoP meeting (by invitation only)
Breakout 6 (Great Lakes)
Tuesday
, October 15
9:00am GMT+05
Data and information management CoP meeting (by invitation only)
Breakout 6 (Great Lakes)
6:00pm GMT+05
[Recommended, optional] Pre-check in
Trident Hotel
Wednesday
, October 16
6:15am GMT+05
Day 1 theme: Why trust?
ICRISAT
8:30am GMT+05
Welcome to the 2019 convention
Plenary 1 (Main Tent)
9:00am GMT+05
Trust: Humans, machines, and ecosystems
Plenary 1 (Main Tent)
9:30am GMT+05
Keynote: Digital trust in India
Plenary 1 (Main Tent)
10:30am GMT+05
Trust and the human-machine ecology
Plenary 1 (Main Tent)
11:15am GMT+05
Welcome to ICRISAT
Plenary 1 (Main Tent)
11:30am GMT+05
Introduction to the Communities of Practice (CoP)
Plenary 1 (Main Tent)
11:45am GMT+05
Meet the 2019 Inspire Challenge finalists
Plenary 1 (Main Tent)
12:00pm GMT+05
Lunch
Courtyard
1:00pm GMT+05
Exploration hour: GEMS demo
FILLING
Breakout 5A (212 / Bentley)
2:50pm GMT+05
Digitally enabled collective action
FULL
Breakout 4 (New Sahel)
4:00pm GMT+05
Snapshots of digital ag around the world
Plenary 1 (Main Tent)
4:05pm GMT+05
Getting to open and FAIR data in program development
Plenary 1 (Main Tent)
4:15pm GMT+05
Leveraging trust to generate insights from data: The GARDIAN ecosystem
Plenary 1 (Main Tent)
4:45pm GMT+05
Leadership in data for agriculture
Plenary 1 (Main Tent)
5:30pm GMT+05
ICRISAT welcome dinner
Courtyard
Thursday
, October 17
8:30am GMT+05
Plenary 2.1: Data science showcase I
Plenary 2 (Auditorium)
9:15am GMT+05
Plenary 2.2: Promise and peril of AI
Plenary 2 (Auditorium)
10:30am GMT+05
Official opening of Inspire Challenge 2019 pitches
Plenary 1 (Main Tent)
10:45am GMT+05
Scaling winning solutions from the 2018 Inspire Challenge
Plenary 1 (Main Tent)
11:45am GMT+05
Introduction to the afternoon sessions
Plenary 1 (Main Tent)
1:00pm GMT+05
Exploration hour: GARDIAN demo
Plenary 2 (Auditorium)
2:00pm GMT+05
CoP technical session: Trusting datasets for crop modeling purposes
FULL
Breakout 2A (SatVenture)
4:00pm GMT+05
Innovation bazaar (cont.)
Courtyard
CoP engagement session: Bridging the "Data Gap" between crop modelers and researchers
FILLING
Breakout 2A (SatVenture)
4:50pm GMT+05
CoP engagement session: Bridging the "Data Gap" between crop modelers and researchers
FILLING
Breakout 2A (SatVenture)
5:30pm GMT+05
Reception
Guestle Courtyards
Friday
, October 18
8:30am GMT+05
Plenary 2: Data science showcase II
Plenary 2 (Auditorium)
9:10am GMT+05
Plenary 1.2: Introduction to innovation pipeline
Plenary 1 (Main Tent)
10:30am GMT+05
Plenary 2: Can we really eat within planetary boundaries?
Plenary 2 (Auditorium)
1:00pm GMT+05
Exploration hour: AgroFIMS demo
Plenary 2 (Auditorium)
2:00pm GMT+05
Technologies and good practices throughout the research data life cycle
Plenary 2 (Auditorium)
4:00pm GMT+05
2019 Inspire Challenge finalist pitches
Plenary 1 (Main Tent)
5:00pm GMT+05
Trust for the future of big data in agriculture
Plenary 1 (Main Tent)
6:30pm GMT+05
Inspire Challenge 2019 awards, dinner, and concert
Trident Hotel
Timezone
2019 CGIAR Big Data in Agriculture Platform Convention
Indian/Maldives
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2019 CGIAR Big Data in Agriculture Platform Convention
Oct 14
-
18, 2019
Monday
, October 14
Tuesday
, October 15
Wednesday
, October 16
Thursday
, October 17
Friday
, October 18
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Hyderabad, Telangana, India
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Breakout 2A (SatVenture)
Breakout 2C (Boardroom, upstairs)
Breakout 2D (DG Conference Room, upstairs)
Breakout 3 (Genomics 16A)
Breakout 4 (New Sahel)
Breakout 5A (212 / Bentley)
Breakout 5C (Mind Seminar, upstairs)
Breakout 6 (Great Lakes)
Courtyard
Guestle Courtyards
ICRISAT
iHub
Meeting Room No 2
Plenary 1 (Main Tent)
Plenary 2 (Auditorium)
Trident Hotel
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Bazaar
Deep Dive
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Plenary
Schedule overview
Subject
architecture
blockchain
collective action
data science
innovation
managing risk in AI
robotics
Popular
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