diff --git a/concepts/dates-times/.meta/config.json b/concepts/dates-times/.meta/config.json
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+{
+  "authors": ["colinleach"],
+  "contributors": [],
+  "blurb": "Handling dates and times in software is a surprisingly complex challenge. The lubridate package in R supplies a variety of functions to cover many use cases."
+}
diff --git a/concepts/dates-times/about.md b/concepts/dates-times/about.md
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+# About
+
+_"Dates and times are something we teach to young children. How hard can it be?"_
+
+Many programmers have made that mistake, and the subsequent experience tends to have a bad effect on their health and happiness. 
+
+Anyone doing non-trivial programming with dates and times should at least be prepared to understand and mitigate potential problems.
+
+This document will attempt to give an overview of how R handles dates and times, but consulting the full documentation will be necessary for further details.
+
+As a data science language, dates and times have a particular importance in R.
+Much of the data arrives in the form of time series: daily patient numbers during a disease outbreak, monthly employment figures reported by goverments, bird populations in a nesting colony, annual GDP for major economies, and endless more examples.
+
+_Does this mean that R makes data and time handling simple?_
+
+Sadly, no!
+
+Date and time functionality in Base R has a poor reputation and most is now rarely used.
+
+The [`lubridate`][web-lubridate] package is a big improvement, but be prepared for a large and complicated library, designed to handle a large and complicated range of problems.
+
+Originally independent, `lubridate` is now bundled with the `tidyverse` collection.
+Load it with either `library(lubridate)` or `library(tidyverse)`.
+
+Resources to help you work with `lubridate` include:
+
+- A [reference page][ref-lubridate].
+- A [cheatsheet][cheat-lubridate] in PDF format.
+- a [chapter][book-dates-times] in R for Data Science.
+
+## Dates and Datetimes
+
+A `date` is just a day, with no time information.
+
+Internally, dates are stored as the (signed) number of days since `1970-01-01`.
+
+```R
+today()
+#> [1] "2026-04-22"
+typeof(today())  # just a number
+#> [1] "double"
+class(today())  # the class understands how to interpret the raw number
+#> [1] "Date"
+```
+
+A `datetime` combines date, time and timezone information.
+
+Internally, it is stored as the number of seconds since the beginning of 1970 in the UTC timezone.
+
+```R
+now()
+#> [1] "2026-04-22 15:37:11 MST"  # mid-afternoon in Arizona
+typeof(now())
+#> [1] "double"  # again, just a number
+# POSIX datetimes are built into most operating systems as standard
+class(now())
+#> [1] "POSIXct" "POSIXt"
+```
+
+Perhaps surprisingly, R has no internal representation for time-only values.
+Anyone needing this functionality (outside Exercism) can install the [`hms`][ref-hms] package.
+
+## Working with `date` and `datetime` values
+
+Perhaps the most frequent date/time needs are:
+
+- Parse some appropriate input format to construct a date or datetime.
+- Get the required numerical or string format from a date or datetime.
+- Apply an offset to a date or datetime value.
+- Calculate the time span between two such values.
+- Get the current date (with `today()`) and/or datetime (with `now()`).
+
+### Parsing from strings
+
+There are many ways to write dates and times, which tend to be culturally-specific.
+All-number dates such as "7/6/23" are ambiguous, confusing, and have led to many expensive mistakes in multinational organizations (_the author says this from bitter personal experience_).
+
+The international standard is defined in [`ISO 8601`][wiki-ISO8601], with two main advantages:
+
+- Parsing is quick and unambiguous.
+- Sorting is easy, as the datetime can be treated as normal text and sorted alphabetically.
+
+However, data science is about working with whatever data you can find, and it is often pointless to complain about how other people format it.
+
+Base R has conversion functions which take a format string (defaulting to ISO 8601).
+
+```R
+as.Date("2026-04-22")
+#> [1] "2026-04-22"
+as.Date("4/22/26", format = "%m/%d/%y")
+#> [1] "2026-04-22"
+as.POSIXct("2026-04-22 15:30:09 MST")
+#> [1] "2026-04-22 15:30:09 MST"
+```
+
+The format strings resemble the decades-old `strptime()` function, included in _many_ languages.
+Programmers familiar with this syntax can optionally use the [`fast_strptime()`][ref-parse_dt] function in lubridate.
+
+More helpfully, `lubridate` provides a wide range of [helper functions][ref-parsing], with names that represent the order of fields.
+Once the functions know which values to look for, and in which order, parsing is impressively flexible.
+
+```R
+mdy("4/22/26")
+#> [1] "2026-04-22"
+mdy("April 22nd 26")
+#> [1] "2026-04-22"
+mdy("Wednesday, April 22nd 2026")
+#> [1] "2026-04-22"
+mdy_hm("Wednesday, April 22nd 2026, 4:14 pm")
+#> [1] "2026-04-22 16:14:00 UTC"  # defaults to your OS timezone
+```
+
+These helper functions are special cases of the [`parse_date_time()`][ref-parse_dt] function, which takes a format string such as `"mdy_hm"` as its second argument.
+
+### Constructing from numerical values
+
+In situations where your program has components of a date/datetime as separate numbers, they can be assembled with [`make_date()` or `make_datetime()`][ref-make_datetime].
+
+These are the components that can be supplied, showing their ordering and default values:
+
+```R
+make_datetime(
+  year = 1970L,
+  month = 1L,
+  day = 1L,
+  hour = 0L,
+  min = 0L,
+  sec = 0,
+  tz = "UTC"
+)
+
+make_datetime(2026, 4, 22, 17)
+#> [1] "2026-04-22 17:00:00 UTC"
+```
+
+Naturally, `make_date()` takes only year, month and day arguments.
+
+### Outputting in human-readable form
+
+The R console automatically displays dates/datetimes as a string representation.
+This is usually convenient, but sometimes misleading.
+
+Internally, dates and datetimes are numbers (plus a few attributes), not strings.
+Returning a date(time) when a string is expected will cause problems, so we need to know how to do the conversion.
+
+A simple approach is to use [`as.character()`][ref-ascharacter] from Base R, which outputs a string in ISO 8601 format.
+
+There is also a [`format_ISO8601()`][ref-iso8601] function for datetimes, which has options for rounding to a desired precision.
+
+```R
+today() |> as.character()  # a date
+#> [1] "2026-04-23"
+now() |> as.character()  # a datetime
+#> [1] "2026-04-23 09:07:09.779319"
+now() |> format_ISO8601() # defaults to nearest second
+#> [1] "2026-04-23T09:07:38"
+```
+
+Few non-progammers want to see ISO 8601 output, so handling culture-specific date/time formats is essential.
+
+Base R provides the [`format()`][ref-format] function, which uses format strings similar to the venerable `strftime()` functions included in many other languages.
+
+```R
+format(today(), "%A, %d %B %Y")
+#> [1] "Thursday, 23 April 2026"
+```
+
+Lubridate aims to provide a more human-friendly alternative with the [`stamp()`][ref-stamp] function, and the narrower `stamp_date()` and `stamp_time()`.
+
+These take a template string which is an example of the desired output, and create a custom function to generate that format.
+
+Lubridate attempts to guess the format, but often runs into ambiguities and produces the wrong result.
+Be prepared to provide format strings (such as `"dmy"`) to disambiguate.
+
+### Setting or extracting components
+
+Lubridate provides [many functions][ref-set-get] to get or set elements of a date or datetime: obvious ones such as `year()` and `second()`, but also more specialist ones such as `quarter()` and `epiweek()`.
+
+All such functions can be used to get a value, and most can also be used to set the value.
+
+```R
+dt <- now()
+dt
+#> [1] "2026-04-23 15:47:11 MST"
+
+# get
+month(dt)
+#> [1] 4
+
+# set
+month(dt) <- 11
+dt
+#> [1] "2026-11-23 15:47:11 MST"
+```
+
+For `wday()` (day of week) and `month()`, the default is integer output but:
+
+- Setting `labels = TRUE` returns an abbreviated character string corresponding to the current locale.
+- Also setting `abbr = FALSE` returns the full name.
+
+```R
+d <- today()
+d
+#> [1] "2026-04-23"
+wday(d)
+#> [1] 5
+wday(d, label = TRUE)
+#> [1] Thu
+Levels: Sun < Mon < Tue < Wed < Thu < Fri < Sat
+wday(d, label = TRUE, abbr = FALSE)
+#> [1] Thursday
+Levels: Sunday < Monday < Tuesday < Wednesday < Thursday < Friday < Saturday
+```
+
+The labels are `categorical variables`, which will be the subject of another Concept.
+Values are restricted to the listed `Levels`, which also show sort order.
+
+The week starts on Sunday by default, but this can be changed with the `week_start` argument (use `1` for Monday).
+
+A few utility functions return `TRUE`/`FALSE` values, such as `leap_year()` and `dst()` (is Daylight Saving Time active?).
+
+Months vary in length, so `days_in_month()` gives the integer value.
+
+### Rounding
+
+Numbers can be rounded with [functions][ref-round] such as `round()`, `floor()`, and `ceiling()`.
+
+By extension, dates and datetimes have [functions][ref-round_date] `round_date()`, `floor_date()`, and `ceiling_date()`.
+
+By default, rounding is to the second, but there are many more options available with the `unit` argument.
+See the [documentation][ref-round_date] for details and copious examples.
+
+## Time spans
+
+Both `date` and `datetime` values represent an instant along the timeline.
+
+How do we handle concepts like "this time yesterday" or "a week from now"?
+
+Students familiar with other science-oriented languages may be aware of `datetime.timedelta` in Python or the `Period` type in Julia.
+
+In contrast, R has no less than three ways to represent time spans, with different strengths and limitations.
+As always, choose the one best suited to your context.
+
+The various spans can easily be interconverted, with `as.period()`, `as_duration()` and `as.interval()`.
+
+Span types can be interrogated with `is.period()`, etc.
+
+### Periods
+
+A `period`, such as `hours(3)`, just changes the clock time by adding 3 hours.
+
+Irregularities such as daylight saving time (DST) are largely ignored.
+
+All periods are the pluralized name of a unit: `years`, `weeks`, etc.
+
+```R
+d <- today()
+d
+#> [1] "2026-04-25"
+
+d + weeks(2)
+#> [1] "2026-05-09"
+
+# dates are coerced to datetimes at midnight if necessary
+d - hours(20)
+#> [1] "2026-04-24 04:00:00 UTC"
+
+hours(3)
+#> [1] "3H 0M 0S"
+```
+
+### Durations
+
+A `duration`, such as `dhours(3)`, advances physical time by 3 hours, respecting irregularities such as DST that cause clock time to deviate from physical time.
+
+All durations add a `d` prefix to the corresponding period: `dyears`, `dweeks`, etc.
+
+```R
+dhours(3)
+#> [1] "10800s (~3 hours)"
+```
+
+### Intervals
+
+An `interval` is a combination of a start and end time, created either with the [`interval()`][ref-interval] function or the `%--%` infix operator.
+
+```R
+# the next 2 lines were run about 33s apart, so now() is different
+dt1 <- now()
+dt2 <- now() + hours(1)
+
+# interval(0 function)
+ivl <- interval(dt1, dt2)
+ivl
+#> [1] 2026-04-24 16:24:54 MST--2026-04-24 17:25:27 MST
+class(ivl)
+#> [1] "Interval"
+attr(,"package")
+#> [1] "lubridate"
+
+# infix operator
+iv2 <- dt1 %--% dt2
+iv2 == iv1
+#> [1] TRUE
+
+# conversions
+as.period(ivl)
+#> [1] "1H 0M 32.738214969635S"
+as.duration(ivl)
+#> [1] "3632.73821496964s (~1.01 hours)"
+
+# components
+int_start(ivl)
+#> [1] "2026-04-24 16:24:54 MST"
+
+# is datetime within the interval?
+(now() - minutes(20)) %within% ivl
+#> [1] TRUE
+```
+
+## Timezones
+
+Dealing with timezones can be challanging.
+The quote below is from the Python documentation, but equally relevant to R:
+
+> "The rules for time adjustment across the world are more political than rational, change frequently, and there is no standard suitable for every application aside from UTC."
+
+A few general points about timezones:
+
+- A `datetime` always includes a timezone (`tz`); a `date` is not timezone-aware.
+- Datetime constructors generally default to [UTC][wiki-UTC].
+- The [`now()`][ref-now] function is an exception: it gets your local time from the system clock, including `tz`.
+  Local `tz` is used  by default, but others can be specified such as `now("UTC")`.
+
+```R
+# timezone defaults to UTC
+local <- ymd_hm("2026-04-25 10:32")
+local
+#> [1] "2026-04-25 10:32:00 UTC"
+
+# timezone can be specified
+AZ <- ymd_hm("2026-04-25 10:32", tz = "America/Phoenix")
+AZ
+#> [1] "2026-04-25 10:32:00 MST"
+
+# same clocktime, different tz
+local - AZ
+Time difference of -7 hours
+```
+
+Timezone-related arithmetic with durations is more reliable then with periods.
+
+```R
+dt <- make_datetime(2020, 10, 31, 12, tz = "Europe/Helsinki")
+
+# EET is 2h ahead of UTC
+dt
+#> [1] "2020-10-31 12:00:00 EET"
+
+# A week earler, EEST (summer time) is 3h ahead of UTC
+
+# a 7-day period => midday
+dt - days(7)
+#> [1] "2020-10-24 12:00:00 EEST"
+
+# a 7-day duration => 1 pm
+dt - ddays(7)
+#> [1] "2020-10-24 13:00:00 EEST"
+```
+
+With both the period calculation and the duration calculation, lubridate recognizes the switch from Eastern European Time to Eastern European Summer Time, but only the duration adjusts for the 1-hour time change.
+
+## Conclusion
+
+Working with dates and datetimes is much easier with lubridate than with Base R.
+
+This Concept has tried to give an overview, but inevitably misses out very many details.
+
+At the risk of repetition: _the documentation is your friend, so please use it_.
+
+[web-lubridate]: https://lubridate.tidyverse.org/index.html
+[ref-lubridate]: https://lubridate.tidyverse.org/reference/index.html
+[cheat-lubridate]: https://github.com/rstudio/cheatsheets/blob/main/lubridate.pdf
+[book-dates-times]: https://r4ds.hadley.nz/datetimes.html
+[wiki-ISO8601]: https://en.wikipedia.org/wiki/ISO_8601
+[ref-parsing]: https://lubridate.tidyverse.org/reference/index.html#date-time-parsing
+[ref-make_datetime]: https://lubridate.tidyverse.org/reference/make_datetime.html
+[ref-set-get]: https://lubridate.tidyverse.org/reference/index.html#setting-getting-and-rounding
+[ref-round]: https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/Round
+[ref-round_date]: https://lubridate.tidyverse.org/reference/round_date.html
+[ref-interval]: https://lubridate.tidyverse.org/reference/interval.html
+[ref-now]: https://www.rdocumentation.org/packages/lubridate/versions/1.7.4/topics/now
+[ref-parse_dt]:  https://lubridate.tidyverse.org/reference/parse_date_time.html
+[ref-ascharacter]: https://www.rdocumentation.org/packages/base/versions/3.3.0/topics/character
+[ref-iso8601]: https://lubridate.tidyverse.org/reference/format_ISO8601.html
+[ref-hms]: https://www.rdocumentation.org/packages/hms/versions/1.0.0/topics/hms-package
+[ref-stamp]: https://lubridate.tidyverse.org/reference/stamp.html
+[wiki-UTC]: https://en.wikipedia.org/wiki/Coordinated_Universal_Time
+[ref-format]: https://www.rdocumentation.org/packages/base/versions/3.3.0/topics/format
diff --git a/concepts/dates-times/introduction.md b/concepts/dates-times/introduction.md
new file mode 100644
index 00000000..e10b99d0
--- /dev/null
+++ b/concepts/dates-times/introduction.md
@@ -0,0 +1 @@
+# Introduction
diff --git a/concepts/dates-times/links.json b/concepts/dates-times/links.json
new file mode 100644
index 00000000..06cdb6b0
--- /dev/null
+++ b/concepts/dates-times/links.json
@@ -0,0 +1,10 @@
+[
+  {
+    "url": "https://lubridate.tidyverse.org/index.html",
+    "description": "Tidyverse web site."
+  },
+  {
+    "url": "https://r4ds.hadley.nz/datetimes.html",
+    "description": "Dates and times chapter in R for Data Science."
+  }
+]
diff --git a/config.json b/config.json
index 47cef3f1..d65604a9 100644
--- a/config.json
+++ b/config.json
@@ -1171,6 +1171,11 @@
       "slug": "names-attribute",
       "name": "Names Attribute"
     },
+    {
+      "uuid": "3ec66b80-edd7-4596-9b39-b3f42a9b4be6",
+      "slug": "dates-times",
+      "name": "Dates Times"
+    },
     {
       "uuid": "f9bc1f9b-aa22-48c3-bc1d-ad2ea75a4d36",
       "slug": "errors",