Inaugural China Conference

Separating Fact from Fiction: China’s Growing Global Influence and its Implications

June 22-23

Hosted by AidData and William & Mary's Global Research Institute

 Agenda ↗

Style Guide

Most (but not all) classes in Webflow are listed on this page, along with examples for common usage.

A Quick Note on Naming

Naming of functional CSS classes more closely resembles other CSS conventions (margin-top--baseline) rather than Webflow template guidelines. Dashes or underscores loosely relate to BEM conventions. If you see "__" (block__element), it means that a class is intended to be used primarily within a certain context. If you see "--" (margin-top--baseline), it means that there are other similarly classes that provide a different value for the setting implied by the name.

Although In general, we strive to follow these three conventions in naming CSS classes:

  1. Where possible, build components & layout with functional utility classes. These generally do one job everywhere. These can be either "Webflow" style (Font Size 0) or "CSS" style (flex-top-between, margin-top--baseline). The important thing is that the name describes the style function.
  2. If styling can't be achieved with functional CSS (or for styling elements that are repeated everywhere), use either an object oriented convention to indicate that this applies multiple rules to a specific context on a page, but try to adhere to Webflow's templating guidelines for components that could be slotted almost anywhere (i.e. "Page Sections" not "page-sections"; "White Card Link" not "white-card-link") or a BEM syntax for elements that aren't intended to be reused across pages.*
  3. If you need a class that modifies another class, try to indicate this with underscores, or is used in a particular set of contextual circumstances. (ex. "is_RTE" or "fits_under_page_nav". )

* For example, "china-page-wrap" not "China Page Wrap" since this class is tied to a background image.

Typography

Responsive Page Label

Responsive Page Title

Responsive Page Subtitle

Black Text
Bold Text
Gray Text
Uppercase

Paragraphs have 1.5 rem (1 baseline) of bottom margin. Use "margin-0--bottom" to clear this.

Font Size 0: .889/1.25
Font Size 1 (Default): 1/1.5
Font Size 2: 1.25/1.5
Font Size 2, Multiline: 1.25/1.75
Font Size 3: 1.414/1.5
Font Size 3, Multiline: 1.414/2
Font Size 4: 2/3

Font Size 4, Multiline: 2/2.5

Font Size 5: 2.827/4.5
Font Size 5, Multiline Text: 2.827/4
Font Size 6: 4/6

DEFAULT RTE

H1

H2

H3

H4

H5
H6

paragraph

.text-center

H1

H2

H3

H4

H5
H6

paragraph

RTE Small Text

H1

H2

H3

H4

H5
H6

paragraph

RTE Small Text

H1

H2

H3

H4

H5
H6

paragraph

Search Titles & Descriptions

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Blog Main RTE

Heading 1

Heading 2

Heading 3

Heading 4

Heading 5
Heading 6

Paragraph

  • List
Block Quote

Overview

Rigorous impact evaluations in a fraction of the time of an RCT

Geospatial Impact Evaluations (GIEs) measure intended and unintended impacts of development programs by leveraging readily available data like satellite observations to mimic the conditions on the ground in a randomized control trial (RCT) in order to establish a reliable counterfactual for meaningful comparisons — at a fraction of the time and cost of a “traditional” RCT.

Like RCTs, GIEs can estimate the net effect of a specific program by comparing similar groups whose only difference was exposure to the program (or treatment).  Unlike RCTs, GIEs use precise geographic data to establish this counterfactual retroactively, eliminating the need to assign program participants into randomized treatment and control groups within the program design.

OverviewSECONDARY BUTTONChina ResearchINTERACTIVE: #LTL2018What does our china data cover?

This is a rich text block

Improving resource allocation and evaluating hard-to-measure impacts of global health efforts with next-generation innovation and research

Case Studies

Innovation Impact Evaluation

Text link on a basic card should be green

This is not clickable, but is information that is related to the link above. Often this is used in the context where the user's primary goal is scanning a list rather than "going somewhere", or for when we have items which we want to de-emphasize.

When a whole block is clickable, use this convention.

The white background and green stripe indicates interactivity You will probably use card classes in conjunction with each text element within a text wrap.

Layout & Grid Helpers

Content Margins

The class "Page Grid Padding" (.page-grid-padding) bounds content by 4.6875 VW on both the left and right side. That viewport width corresponds to six grid cells in our preferred grid, outlined below.

Additionally the classes "Page Top Padding" and "Page Bottom Padding" add 3 rem (2 baselines) in top and bottom padding. These classes have a different css naming convention than other layout helpers (ex. "margin-top--baseline") to indicate that they have a specific intended use case. You may also use these classes in full-width panels where 2 baselines of padding are needed, but do so recognizing that the value of these classes may change according to the primary use case, which is ensuring that our content appears in a consistent row below the nav bar.

Template Grid

Our content fits in an imaginary 58 column grid.* This enables us to create layouts that can reference evenly spaced columns of 2,3,4,5,6,10 and 12, each separated by 2 grid cells. (We often have 3, 4 or 5 items to fit in a row.) This treatment also allows a column rule between the two grid cells. There are two ways that this grid can be implemented. Each are explained below.

* Counting page margins (explained below) the entirety of the grid is 64 columns wide. 58 columns with 3 columns on either side for page margins. This gives us "rounder" VW numbers for width-based implementation of the grid.

CSS Grid

Webflow makes it ridiculously easy to drag items onto a CSS Grid. Use the "58-wide" (._58-wide) grid helper class to speed up prototyping and improve consistency across the site. This grid provides no column or row gaps and does not change the default number of rows. If you want to edit the grid itself, duplicate the class and rename it.

CSS Grid is especially useful when you need to place overlapping rows and columns, such as on our home page or on a publication detail page, or when you need items to reflow on tablets or mobile devices in a certain way that would lead to less accessible or semantic markup. For example, the sidebar on our blog splits in two when collapsing into smaller viewport widths; half goes above the main content (such as bread crumbs and related publications) while half goes below (such as author information). CSS Grid allows a treatment that provides a better user experience and better reflects the markup on the page.

Flex Basis

Using CSS Grid for everything, however, quickly blows up the stylesheet size, because the row and column settings for each grid child are stored in the unique id for that html element. If you have a layout where a cell would not need to span multiple rows or reflow to a different position on the page, then positioning the element with ID settings is an expensive proposition.

How are these implemented differently?

  1. With CSS Grid, the Grid Class (58-wide) goes on the parent element. Then, for each direct child element...
  2. You need to specify values for grid-column-start (1st number shown below), grid-column-end (2nd number), as well as grid-row-start and grid-row-end
  3. With our "Flex Basis" grid, you use a generic flex helper class, "flex-top-between" and specify the column widths as CSS classes (i.e. col-1-5)

Examples

CSS Grid

1/28
31-58
1/18
21-38
41-58
1/13
16/28
31/43
46/58
1/10
13/22
25/34
37/46
49/58
1/8
11/18
21/28
31/38
41/48
51/58
1/4
7/10
13/16
19/22
25/28
31/35
37/40
43/46
49/52
55/58
1/3
6/8
11/13
16/18
21/23
25/28
31/33
36/38
41/43
41/43
51/53
56/68

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Flex Basis

One critical difference between the CSS Grid implementation and the Flex Basis implementation is that the latter does not as easily allow you to use ruled columns. (We can add that in the future if it looks like that's going to be a feature of our design language that will need to be implemented in many places.)

Another important note: this implementation isn't foolproof. Because there is so much whitespace between smaller columns (i.e. col-1-10, col-1-12), columns intended for the next line can slide onto a row. Conversely, on smaller media queries, because no min or max-width is set, text content these very small columns may overflow their prescribed widths.

Wide Classes

col-1-2
col-1-2
col-1-3
col-1-3
col-1-3
col-1-4
col-1-4
col-1-4
col-1-4
col-1-5
col-1-5
col-1-5
col-1-5
col-1-5
col-1-6
col-1-6
col-1-6
col-1-6
col-1-6
col-1-6
col-1-10
col-1-10
col-1-10
col-1-10
col-1-10
col-1-10
col-1-10
col-1-10
col-1-10
col-1-10
col-1-12
col-1-12
col-1-12
col-1-12
col-1-12
col-1-12
col-1-12
col-1-12
col-1-12
col-1-12
col-1-12
col-1-12
col-2-3
col-1-3
col-3-4
col-1-4
col-2-5
col-3-5
col-4-5
col-1-5
col-5-6
col-1-6
col-3-10
col-7-10
col-9-10
col-1-10
col-5-12
col-7-12
col-11-12
col-1-12

Tablet Classes

These classes have a value set for the tablet media query, which cascades down to mobile devices unless overridden. They do not have a value set for the main, desktop media query.

col-1-2--tablet
col-1-2--tablet
col-1-3--tablet
col-1-3--tablet
col-1-3--tablet
col-1-4--tablet
col-1-4--tablet
col-1-4--tablet
col-1-4--tablet
col-1-5--tablet
col-1-5--tablet
col-1-5--tablet
col-1-5--tablet
col-1-5--tablet
col-1-6--tablet
col-1-6--tablet
col-1-6--tablet
col-1-6--tablet
col-1-6--tablet
col-1-6--tablet
col-1-10--tablet
col-1-10--tablet
col-1-10--tablet
col-1-10--tablet
col-1-10--tablet
col-1-10--tablet
col-1-10--tablet
col-1-10--tablet
col-1-10--tablet
col-1-10--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-1-12--tablet
col-2-3--tablet
col-1-3--tablet
col-3-4--tablet
col-1-4--tablet
col-2-5--tablet
col-3-5--tablet
col-4-5--tablet
col-1-5--tablet
col-5-6--tablet
col-1-6--tablet
col-3-10--tablet
col-7-10--tablet
col-9-10--tablet
col-1-10--tablet
col-5-12--tablet
col-7-12--tablet
col-11-12--tablet
col-1-12--tablet

Mobile Classes

These classes have a value set for the mobile landscape media query. These values also cascade down to the mobile portrait media query unless overridden. They do not have a value set for the main, desktop media query or the tablet media query.

Also, we do not have a separate set of classes for the smaller, mobile portrait media query, and the mobile grid classes stop at 6 columns.

col-1-2--mobile
col-1-2--mobile
col-1-3--mobile
col-1-3--mobile
col-1-3--mobile
col-1-4--mobile
col-1-4--mobile
col-1-4--mobile
col-1-4--mobile
col-1-5--mobile
col-1-5--mobile
col-1-5--mobile
col-1-5--mobile
col-1-5--mobile
col-1-6--mobile
col-1-6--mobile
col-1-6--mobile
col-1-6--mobile
col-1-6--mobile
col-1-6--mobile
col-2-3--mobile
col-1-3--mobile
col-3-4--mobile
col-1-4--mobile
col-2-5--mobile
col-3-5--mobile
col-4-5--mobile
col-1-5--mobile
col-5-6--mobile
col-1-6--mobile

Ruled Columns With Classes (Instead of Grid)

The following templates approximate the ruled columns on the Home page that were done with CSS Grid. The classes "add_1_cell", "clear_1_cell_on_tablet", "clear_1_cell_on_mobile", "clear_col_borders_on_tablet", and "clear_col_borders_on_mobile" can be added to col-1-2.  

padding right border right, clear on tablet

padding left, border left, clear on tablet

padding right border right, clear on tablet

No padding no border

no padding, no border

padding left, border left, clear on tablet

padding right border right, clear on mobile

no padding, no border

no padding, no border

padding left, border left, clear on mobile

Margin & Padding

.margin-top--cell
.margin-bottom--cell
.margin-left--cell
.margin-right--cell
.padding-top--cell
.padding-bottom--cell
.padding-left--cell
.padding-right--cell
.margin-top--baseline
.margin-bottom--baseline
.padding-top--baseline
.padding-top--baseline
.margin-top--line
.margin-bottom--line
.margin-left--line
.margin-right--line
.padding-top--line
.padding-bottom--line
.padding-left--line
.padding-right--line
.margin-left--char
.margin-right--char
.padding-left--char
.padding-right--char

Cards & Repeat Grids

We have 5 classes of cards, which fit into our layout grid.

  • Card — This is our basic unit.
  • Tall Card — Inherits width of a Card, but defines a set height. This is useful for items with a horizontal picture that goes below a text block.
  • Wide Card — Wider than a typical card, which means that it generally occupies 1 less column in a grid. (i.e. Where a Card Grid could fit a maximum of 4 columns, a Wide Card Grid can only accommodate 3.)
  • Short Card — Inherits width but has a smaller default minimum row height a card. (96px instead of 192px).
  • Small Card — Inherits height from short cards, but also adds an additional column. (i.e. Where a Card Grid could fit a maximum of 4 columns, a Small Card grid could fit five.)

Column gap for each class is 3.125 vw (2 grid cells). Row gap for each class except "Tall Cards" is 1.5rem, which is 1 row of paragraph line height. Row gap for tall cards is 3rem. Until Webflow supports repeat grids natively, we will use custom code for repeat grids. To use a repeat grid, you need a "Card" nested directly within a "Card Grid". (This is especially useful on collection lists.)

.full-width > Card Grid > Card

BRI Survey Report 2023

2023 Perceptions of Chinese Overseas Development Survey Data Aggregates, Version 1.0

Published

2024-03-26

AidData’s U.S. Economic Contributions to the Indo-Pacific, Version 1.0

Published

2024-02-08

The dataset includes over 12,000 rows of data from 2012-2022, tracking more than 24 trillion in economic engagement. These channels include: Bilateral Assistance, Multilateral Assistance, Investment Guarantees, Trade, Remittances, Foreign Direct Investments, and Philanthropic Contributions.

China’s AI Exports Database (CAIED)

Published

2023-12-11

The China AI Exports Database (CAIED) tracks Chinese government-supported development finance projects that utilized or enabled Artificial Intelligence (AI) technology in the Global South between 2000 and 2017. The dataset captures 155 projects for AI applications or infrastructure across 65 low- and middle-income countries funded by Chinese official sector institutions and the military worth $4.5 billion.

Global China Data

AidData's Global Chinese Development Finance Dataset, Version 3.0

Published

2023-11-06

The dataset captures 20,985 projects across 165 low- and middle-income countries supported by loans and grants from official sector institutions in China worth $1.34 trillion. It tracks projects over 22 commitment years (2000-2021) and provides details on the timing of project implementation over a 24-year period (2000-2023).

Geocoded Global China Data

Forthcoming 2024: AidData's Geospatial Global Chinese Development Finance Dataset, Version 3.0

Published

2023-11-06

This dataset (forthcoming 2024) provides geospatial features representing the locations of project activities for a subset of the 3.0 version of AidData’s Global Chinese Development Finance (GCDF) dataset.

Financing the 2030 Agenda for Sustainable Development, Version 1.0

Published

2023-10-16

Disbursements from 157 DAC and non-DAC donors between 2010 and 2021 as captured by the OECD CRS Database. Aggregated by year, donor, and recipient.

BRI Survey Report 2023

2023 Perceptions of Chinese Overseas Development Survey Data Aggregates, Version 1.0

Published

2024-03-26

AidData’s U.S. Economic Contributions to the Indo-Pacific, Version 1.0

Published

2024-02-08

The dataset includes over 12,000 rows of data from 2012-2022, tracking more than 24 trillion in economic engagement. These channels include: Bilateral Assistance, Multilateral Assistance, Investment Guarantees, Trade, Remittances, Foreign Direct Investments, and Philanthropic Contributions.

China’s AI Exports Database (CAIED)

Published

2023-12-11

The China AI Exports Database (CAIED) tracks Chinese government-supported development finance projects that utilized or enabled Artificial Intelligence (AI) technology in the Global South between 2000 and 2017. The dataset captures 155 projects for AI applications or infrastructure across 65 low- and middle-income countries funded by Chinese official sector institutions and the military worth $4.5 billion.

Global China Data

AidData's Global Chinese Development Finance Dataset, Version 3.0

Published

2023-11-06

The dataset captures 20,985 projects across 165 low- and middle-income countries supported by loans and grants from official sector institutions in China worth $1.34 trillion. It tracks projects over 22 commitment years (2000-2021) and provides details on the timing of project implementation over a 24-year period (2000-2023).

Geocoded Global China Data

Forthcoming 2024: AidData's Geospatial Global Chinese Development Finance Dataset, Version 3.0

Published

2023-11-06

This dataset (forthcoming 2024) provides geospatial features representing the locations of project activities for a subset of the 3.0 version of AidData’s Global Chinese Development Finance (GCDF) dataset.

Financing the 2030 Agenda for Sustainable Development, Version 1.0

Published

2023-10-16

Disbursements from 157 DAC and non-DAC donors between 2010 and 2021 as captured by the OECD CRS Database. Aggregated by year, donor, and recipient.

.full-width > Wide Card Grid > Wide Card

Policy Report

BRI From the Ground Up: Leaders from 129 countries evaluate a decade of Beijing’s signature initiative

Samantha Custer, Ana Horigoshi, Kelsey Marshall

2024-03-26

Policy Brief

Securing Prosperity, Building Resilience: U.S. Economic Partnership in the Indo-Pacific

Bryan Burgess, Divya Mathew, Samantha Custer, John Custer

2024-02-08

Journal Article

Paving Their Own Road? Local Chinese and World Bank Aid and Foreign Direct Investment in Africa

The Chinese Journal of International Politics

Samuel Brazys, Yoo Sun Jung

2024-02-08

Working Paper
127

Transport infrastructure and the spatial distribution of CO2 emissions

Martin Kleimann, Hans-Jörg Schmerera

2024-01-31

Methodology

Technical Documentation: Estimating U.S. Economic Contributions to the Indo-Pacific, Version 1.0

2024-01-08

Policy Report

China's AI Exports: Technology Distribution and Data Safety

RAND Corporation

Jennifer Bouey, Lynn Hu, Keller Scholl, William Marcellino, Rafiq Dossani, Ammar A. Malik, Kyra Solomon, Sheng Zhang, Andy Shufer

2023-12-11

Policy Report

BRI From the Ground Up: Leaders from 129 countries evaluate a decade of Beijing’s signature initiative

Samantha Custer, Ana Horigoshi, Kelsey Marshall

2024-03-26

Policy Brief

Securing Prosperity, Building Resilience: U.S. Economic Partnership in the Indo-Pacific

Bryan Burgess, Divya Mathew, Samantha Custer, John Custer

2024-02-08

Journal Article

Paving Their Own Road? Local Chinese and World Bank Aid and Foreign Direct Investment in Africa

The Chinese Journal of International Politics

Samuel Brazys, Yoo Sun Jung

2024-02-08

Working Paper
127

Transport infrastructure and the spatial distribution of CO2 emissions

Martin Kleimann, Hans-Jörg Schmerera

2024-01-31

Methodology

Technical Documentation: Estimating U.S. Economic Contributions to the Indo-Pacific, Version 1.0

2024-01-08

Policy Report

China's AI Exports: Technology Distribution and Data Safety

RAND Corporation

Jennifer Bouey, Lynn Hu, Keller Scholl, William Marcellino, Rafiq Dossani, Ammar A. Malik, Kyra Solomon, Sheng Zhang, Andy Shufer

2023-12-11

.full-width > Tall Card Grid > Tall Card

The BRI at 10: A report card from the Global South A new AidData report analyzes the first survey to systematically capture perceptions of China’s BRI among leaders who make and shape development policy in the Global South, and presents some recommendations on how other donors should respond. Sarina Patterson
2024-03-26

The BRI at 10: A report card from the Global South

A new AidData report analyzes the first survey to systematically capture perceptions of China’s BRI among leaders who make and shape development policy in the Global South, and presents some recommendations on how other donors should respond.

Flags of the world. Photo by MyCreative/Adobe Stock, used under the Standard license.
From fragmentation to focus: Revitalizing U.S. development strategy How can the U.S. redefine its role in global development amid rising fragility and great power competition? A new research volume from AidData explores strategic solutions to advance U.S. national interests and foster global stability. Sarina Patterson
2024-03-04

From fragmentation to focus: Revitalizing U.S. development strategy

How can the U.S. redefine its role in global development amid rising fragility and great power competition? A new research volume from AidData explores strategic solutions to advance U.S. national interests and foster global stability.

Liberian survivors of Ebola leave their handprints on a wall of the Bong County Ebola Treatment Unit, the USAID-run facility that saved their lives. Once recovered, several Ebola survivors returned to work alongside USAID staff treating patients. Photo by Adam Parr/USAID via Flickr, licensed under CC BY-NC 2.0 DEED.
How we can use geospatial data and methods to better evaluate critical agricultural programs AidData researchers led a day-long training workshop in Victoria Falls, Zimbabwe for ReNAPRI, the Regional Network of Agricultural Policy Research Institutes. Jessica Wells, Katherine Nolan, Rachel Sayers
2024-02-19

How we can use geospatial data and methods to better evaluate critical agricultural programs

AidData researchers led a day-long training workshop in Victoria Falls, Zimbabwe for ReNAPRI, the Regional Network of Agricultural Policy Research Institutes.

Artist's rendering of terrain in sub-Saharan Africa. Image by Anton Balazh/Adobe, used under the Standard license.
AidData quantifies trillions in U.S. trade, aid, and investment in Indo-Pacific, world’s largest economic region New data and analysis tracks over a decade’s worth of U.S. government and private sector engagement across 46 Indo-Pacific economies. Sarina Patterson
2024-02-08

AidData quantifies trillions in U.S. trade, aid, and investment in Indo-Pacific, world’s largest economic region

New data and analysis tracks over a decade’s worth of U.S. government and private sector engagement across 46 Indo-Pacific economies.

Photo by Kalyakan via Adobe Stock, used under Standard license.
Opportunities and challenges for integrating Earth Observation into impact evaluations We’re making major leaps forward in integrating valuable data from new sensors and satellites into evaluations of urgently needed agriculture and climate programs. Ariel BenYishay, Kunwar Sigh
2024-01-22

Opportunities and challenges for integrating Earth Observation into impact evaluations

We’re making major leaps forward in integrating valuable data from new sensors and satellites into evaluations of urgently needed agriculture and climate programs.

An artist’s rendition of the Landsat satellite that launched in 2013. The Landsat program is the longest continuous global record of Earth observations from space. Image by NASA Goddard Space Flight Center via Flickr, in the public domain.
Young minds, global insights: The student experience on AidData’s TUFF Team Over 130 student research assistants contributed to our latest dataset and report on China’s development finance program. Fei Wang, Bradley C. Parks, Ammar A. Malik
2023-12-21

Young minds, global insights: The student experience on AidData’s TUFF Team

Over 130 student research assistants contributed to our latest dataset and report on China’s development finance program.

Prestin Tran ‘26, a student Research Assistant on AidData’s Tracking Underreported Financial Flows (TUFF) team, displays his research poster at the Global Research Institute Open House. Photo by Kyra Solomon for AidData, all rights reserved.
The BRI at 10: A report card from the Global South A new AidData report analyzes the first survey to systematically capture perceptions of China’s BRI among leaders who make and shape development policy in the Global South, and presents some recommendations on how other donors should respond. Sarina Patterson
2024-03-26

The BRI at 10: A report card from the Global South

A new AidData report analyzes the first survey to systematically capture perceptions of China’s BRI among leaders who make and shape development policy in the Global South, and presents some recommendations on how other donors should respond.

Flags of the world. Photo by MyCreative/Adobe Stock, used under the Standard license.
From fragmentation to focus: Revitalizing U.S. development strategy How can the U.S. redefine its role in global development amid rising fragility and great power competition? A new research volume from AidData explores strategic solutions to advance U.S. national interests and foster global stability. Sarina Patterson
2024-03-04

From fragmentation to focus: Revitalizing U.S. development strategy

How can the U.S. redefine its role in global development amid rising fragility and great power competition? A new research volume from AidData explores strategic solutions to advance U.S. national interests and foster global stability.

Liberian survivors of Ebola leave their handprints on a wall of the Bong County Ebola Treatment Unit, the USAID-run facility that saved their lives. Once recovered, several Ebola survivors returned to work alongside USAID staff treating patients. Photo by Adam Parr/USAID via Flickr, licensed under CC BY-NC 2.0 DEED.
How we can use geospatial data and methods to better evaluate critical agricultural programs AidData researchers led a day-long training workshop in Victoria Falls, Zimbabwe for ReNAPRI, the Regional Network of Agricultural Policy Research Institutes. Jessica Wells, Katherine Nolan, Rachel Sayers
2024-02-19

How we can use geospatial data and methods to better evaluate critical agricultural programs

AidData researchers led a day-long training workshop in Victoria Falls, Zimbabwe for ReNAPRI, the Regional Network of Agricultural Policy Research Institutes.

Artist's rendering of terrain in sub-Saharan Africa. Image by Anton Balazh/Adobe, used under the Standard license.
AidData quantifies trillions in U.S. trade, aid, and investment in Indo-Pacific, world’s largest economic region New data and analysis tracks over a decade’s worth of U.S. government and private sector engagement across 46 Indo-Pacific economies. Sarina Patterson
2024-02-08

AidData quantifies trillions in U.S. trade, aid, and investment in Indo-Pacific, world’s largest economic region

New data and analysis tracks over a decade’s worth of U.S. government and private sector engagement across 46 Indo-Pacific economies.

Photo by Kalyakan via Adobe Stock, used under Standard license.
Opportunities and challenges for integrating Earth Observation into impact evaluations We’re making major leaps forward in integrating valuable data from new sensors and satellites into evaluations of urgently needed agriculture and climate programs. Ariel BenYishay, Kunwar Sigh
2024-01-22

Opportunities and challenges for integrating Earth Observation into impact evaluations

We’re making major leaps forward in integrating valuable data from new sensors and satellites into evaluations of urgently needed agriculture and climate programs.

An artist’s rendition of the Landsat satellite that launched in 2013. The Landsat program is the longest continuous global record of Earth observations from space. Image by NASA Goddard Space Flight Center via Flickr, in the public domain.
Young minds, global insights: The student experience on AidData’s TUFF Team Over 130 student research assistants contributed to our latest dataset and report on China’s development finance program. Fei Wang, Bradley C. Parks, Ammar A. Malik
2023-12-21

Young minds, global insights: The student experience on AidData’s TUFF Team

Over 130 student research assistants contributed to our latest dataset and report on China’s development finance program.

Prestin Tran ‘26, a student Research Assistant on AidData’s Tracking Underreported Financial Flows (TUFF) team, displays his research poster at the Global Research Institute Open House. Photo by Kyra Solomon for AidData, all rights reserved.

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Policy Analysis

Ana Horigoshi

Senior Research Analyst

China Development Finance

Asad Sami

Program Manager

Policy Analysis

Brook Lautenslager

Deputy Director for Data Analytics and Technology Solutions

China Development Finance

Brooke Escobar

Associate Director, Chinese Development Finance Program

Policy Analysis

Bryan Burgess

Senior Policy Specialist

Research & Evaluation

Carly Muir

Geospatial Analyst

Policy Analysis

Ana Horigoshi

Senior Research Analyst

China Development Finance

Asad Sami

Program Manager

Policy Analysis

Brook Lautenslager

Deputy Director for Data Analytics and Technology Solutions

China Development Finance

Brooke Escobar

Associate Director, Chinese Development Finance Program

Policy Analysis

Bryan Burgess

Senior Policy Specialist

Research & Evaluation

Carly Muir

Geospatial Analyst

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Achyuta Adhvaryu

Assistant Professor of Business Economics and Public Policy at the Ross School of Business at the University of Michigan

Alastair Smith

Bernhardt Denmark Chair of International Relations at New York University

Alex Braithwaite

Associate Professor of International Relations at the University of Arizona

Alex Pfaff

Associate Professor of Public Policy, Economics and Environment at Duke University

Allen Blackman

Senior Fellow at Resources for the Future

Amy Selzer

Visiting Assistant Professor of Sociology at the College of William & Mary

Andreas Fuchs

Professor of Development Economics at the University of Goettingen

Andrew Horowitz

Professor of Economics at the Sam M. Walton College of Business at the University of Arkansas

Andrew Zeitlin

Assistant Professor at the McCourt School of Public Policy at Georgetown University

Arilton Teixeira

Director of FUCAPE Business School

Achyuta Adhvaryu

Assistant Professor of Business Economics and Public Policy at the Ross School of Business at the University of Michigan

Alastair Smith

Bernhardt Denmark Chair of International Relations at New York University

Alex Braithwaite

Associate Professor of International Relations at the University of Arizona

Alex Pfaff

Associate Professor of Public Policy, Economics and Environment at Duke University

Allen Blackman

Senior Fellow at Resources for the Future

Amy Selzer

Visiting Assistant Professor of Sociology at the College of William & Mary

Andreas Fuchs

Professor of Development Economics at the University of Goettingen

Andrew Horowitz

Professor of Economics at the Sam M. Walton College of Business at the University of Arkansas

Andrew Zeitlin

Assistant Professor at the McCourt School of Public Policy at Georgetown University

Arilton Teixeira

Director of FUCAPE Business School

Special Case: Logo Cards

The naming of these classes is a historical artifact. The grid is not set on the parent element (i.e. "collection items"); a flex-basis value is set on the child element (i.e. "collection item").

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DIIS
MSHP
Government of Uganda
JSI R&T
NAC
USAID
DREAMS
Hewlett
DG
World Bank
William & Mary
PEPFAR
DIIS
MSHP
Government of Uganda
JSI R&T
NAC
USAID
DREAMS
Hewlett
DG
World Bank
William & Mary
PEPFAR