⌛ 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 105¹ intervention proposals from 80 different research teams² (25 teams submitted two interventions), from 65 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	35
Graduate Student/PhD Student	34
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.

🗓 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

Initially, we’ve received 107 proposals, but two got retracted from the respective authors shortly after the submission deadline.↩︎
some “teams” are actually individual researchers—24 of the 105 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 list.files(here::here("R/functions"), pattern = "\\.R$", full.names = TRUE) |> walk(source) ``` ```{r} submissions <- read_csv(here::here("call_for_collaboration/submissions/cleaned.csv")) n_interventions_per_team <- submissions |> group_by(responseid) |> summarize(n_interventions_per_team = sum(!is.na(description))) |> mutate(n_interventions_per_team = ifelse(n_interventions_per_team == 1, "one", "two")) |> group_by(n_interventions_per_team) |> summarise(n_research_teams = n_distinct(responseid)) %>% split(.$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)`^[Initially, we've received 107 proposals, but two got retracted from the respective authors shortly after the submission deadline.] 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. 🗓 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 >}})