# data[].attributes.body
Your e-poster looks quite good. One area I would like for you to improve for the future is your visualized data.
You provide excellent graphs and charts here, but it is important that you contextualize them. For the final e-Poster for your team in June on your topic on the Gig Economy, please add a text box with your data that describes it briefly, such as "A study in [year] conducted by [X] surveyed how ..." Or you could write: "Most research into virtual meetings has shown the importance of visually seeing and communicating with one's team; however a study by [X] in [year] showed that not enough people in business are using webcams in their meetings, as can be seen in Figure 1" (provide some kind of explanation or description of the data you are showing! Thanks!

# data[].attributes.headline
Natalie, It's excellent how you have used images in your e-Poster to make your key points- and that you concisely explain these key points in the captions under the images.

# data[].attributes.subject
Natalie, It's excellent how you have used images in your e-Poster to make your key points- and that you concisely explain these key points in the captions under the images.

# data[].attributes.headline
In the future, for your team final e-Poster on the Gig economy, I would like to see you use some graphs or tables from your reading which visualize some data about the topic.

# data[].attributes.subject
In the future, for your team final e-Poster on the Gig economy, I would like to see you use some graphs or tables from your reading which visualize some data about the topic.

# data[].attributes.headline
Also, I don't think that you saw the list of phrases I suggested using in the introduction. I would like you to use them in the next poster your team makes for a strong academic introduction.

# data[].attributes.subject
Also, I don't think that you saw the list of phrases I suggested using in the introduction. I would like you to use them in the next poster your team makes for a strong academic introduction.

# data[].attributes.headline
Finally, you wrote very good questions in the Discussion Section, but in academic writing, the Discussion section is not for questions (even though I can see why you thought that intuitively!). The discussion section is where you, as the author, discuss what you found valuable from your study - discuss or make points about the most interesting findings and what this means for the future.

# data[].attributes.subject
Finally, you wrote very good questions in the Discussion Section, but in academic writing, the Discussion section is not for questions (even though I can see why you thought that intuitively!). The discussion section is where you, as the author, discuss what you found valuable from your study - discuss or make points about the most interesting findings and what this means for the future.

# data[].attributes.headline
What is would like to see in your Discussion section would be a summary or discussion of what you find most salient from your reading for the future of global teams. What would leaders need to know to lead virtual teams, based on a synthesis of all your reading. Or you could also include here further questions that need to be studied. Please remember these tips for your final e-Poster in June on the Gig economy.

# data[].attributes.subject
What is would like to see in your Discussion section would be a summary or discussion of what you find most salient from your reading for the future of global teams. What would leaders need to know to lead virtual teams, based on a synthesis of all your reading. Or you could also include here further questions that need to be studied. Please remember these tips for your final e-Poster in June on the Gig economy.