⌛ Time’s up! Thank you all for your great submissions! 🎉

🌍🔬 Thank you all for submitting your fantastic intervention proposals to our Strengthening Trust in Climate Scientists Megastudy!

💪 You’ve exceeded even our most optimistic expectations — we received 107 intervention proposals from 81 different research teams¹ (26 teams submitted two interventions), from 66 different institutions.

💚 We’re especially proud that so many submissions came from early-career researchers who want to strengthen trust in science.

Table 1: Number of submissions by career stage of contributors.

position	n_submissions
Postdoc	36
Graduate Student/PhD Student	35
Principle investigator/Professor	27
Research Assistant	2
Researcher	2
lecturer	2
Adjunct Research Fellow	1
Associate Professor	1
Guest Researcher (postdoc)	1

🕵 Our advisory board will now begin reviewing all interventions. The process is fully anonymized — only the research lead (Jan) can link submissions to their authors, and cannot participate in the voting.

For full transparency, once the review process is complete, we’ll share all advisory board ratings and comments publicly (anonymizing both authors and reviewers).️

🗓 We expect the review and selection process to be completed by mid-December. Stay tuned for updates!️

To end with a little fun fact: Since we received a couple of apologies for late submissions — don’t feel bad, you’re not alone, it really happens to (almost) all of us (Figure 1) 😅:

Figure 1: Submissions by days until deadline.

Once again, a huge thank you to everyone who contributed to this collaborative effort. Your expertise, creativity, and collaborative spirit make this project possible. 💫

🔗 More information

For more information about the project and the team, visit our website.

💌 Questions? Email us anytime at
trustclimsci.megastudy@gmail.com

Footnotes

some “teams” are actually individual researchers—25 of the 107 submissions are single-authored↩︎

--- title: "⌛ Time's up! Thank you all for your great submissions! 🎉" date: 2025-11-12 categories: - interventions - submissions draft: false image: "../../images/sunrise.jpg" title-block-banner-color: white --- ```{r} # libraries library(tidyverse) library(kableExtra) library(tinytable) library(wesanderson) ``` ```{r} # load functions source("../../R/functions.R") ``` ```{r} submissions <- read_csv("../../data/call_for_collaboration/cleaned.csv") n_interventions_per_team <- submissions |> group_by(responseid) |> summarize(n_interventions_per_team = sum(!is.na(description))) |> mutate(n_interventions_per_team = ifelse(n_interventions_per_team == 1, "one", "two")) |> group_by(n_interventions_per_team) |> summarise(n_research_teams = n_distinct(responseid)) %>% split(.$n_interventions_per_team) n_researchers_per_team <- submissions |> group_by(num_researchers) |> summarize(n_submissions = n()) %>% split(.$num_researchers) ``` 🌍🔬 Thank you all for submitting your fantastic intervention proposals to our Strengthening Trust in Climate Scientists Megastudy! 💪 You’ve exceeded even our most optimistic expectations --- we received `r n_distinct(submissions$code_name)` intervention proposals from `r n_distinct(submissions$responseid)` different research teams^[some "teams" are actually individual researchers---`r n_researchers_per_team$Alone$n_submissions` of the `r n_distinct(submissions$code_name)` submissions are single-authored] (`r n_interventions_per_team$two$n_research_teams` teams submitted two interventions), from `r n_distinct(submissions$institution)` different institutions. ```{r} # there are four researchers who are part of two teams # submissions |> # group_by(full_name) |> # summarize(n = n_distinct(responseid)) |> # filter(n>1) ``` 💚 We’re especially proud that so many submissions came from early-career researchers who want to strengthen trust in science. ```{r} #| label: tbl-career-stage #| tbl-cap: Number of submissions by career stage of contributors. submissions |> group_by(position) |> summarise(n_submissions = n_distinct(code_name)) |> arrange(desc(n_submissions)) |> tt() ``` 🕵 Our advisory board will now begin reviewing all interventions. The process is fully anonymized --- only the research lead (Jan) can link submissions to their authors, and cannot participate in the voting. For full transparency, once the review process is complete, we’ll share all advisory board ratings and comments publicly (anonymizing both authors and reviewers).️ 🗓 We expect the review and selection process to be completed by mid-December. Stay tuned for updates!️ To end with a little fun fact: Since we received a couple of apologies for late submissions --- don't feel bad, you're not alone, it really happens to (almost) all of us (@fig-submissions-by-day) 😅: ```{r} #| label: fig-submissions-by-day #| fig-cap: Submissions by days until deadline. # define key dates deadline <- as.Date("2025-11-11") opening <- as.Date(deadline - weeks(4)) # compute days until deadline submissions <- submissions |> mutate(days_until_deadline = as.numeric(difftime(deadline, day, units = "days"))) # define palette wes_cols <- wes_palette("Zissou1", 5, type = "discrete") blue <- wes_cols[1] # distribution yellow <- wes_cols[3] # opening red <- wes_cols[5] # deadline # Create plot submissions |> count(days_until_deadline) |> mutate(prop = n / sum(n)) |> ggplot(aes(x = days_until_deadline, y = n)) + geom_col(fill = blue) + geom_vline(xintercept = 0, color = red, linetype = "dashed", linewidth = 1) + geom_vline(xintercept = as.numeric(difftime(deadline, opening, units = "days")), color = yellow, linetype = "dashed", linewidth = 1) + annotate("text", x = 0, y = 60, label = "Deadline", color = red, hjust = 1.4, size = 3.5) + annotate("text", x = as.numeric(difftime(deadline, opening, units = "days")), y = 40, label = "Opening", color = yellow, hjust = -0.2, size = 3.5) + scale_x_reverse(breaks = seq(0, 28, by = 2)) + labs( x = "Days until deadline", y = "Number of submissions" ) + plot_theme ``` Once again, a huge thank you to everyone who contributed to this collaborative effort. Your expertise, creativity, and collaborative spirit make this project possible. 💫 --- 🔗 **More information** For more information about the project and the team, visit [our website](../../index.qmd). 💌 Questions? Email us anytime at [{{< var email >}}](mailto:{{< var email >}})