The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016
  follow-up campaign. I. Overview and classification of candidates selected by
  two techniques
  The primary goals of the STRong lensing Insights into the Dark Energy Survey
(STRIDES) collaboration are to measure the dark energy equation of state
parameter and the free streaming length of dark matter. To this aim, STRIDES is
discovering strongly lensed quasars in the imaging data of the Dark Energy
Survey and following them up to measure time delays, high resolution imaging,
and spectroscopy sufficient to construct accurate lens models. In this paper,
we first present forecasts for STRIDES. Then, we describe the STRIDES
classification scheme, and give an overview of the Fall 2016 follow-up
campaign. We continue by detailing the results of two selection methods, the
Outlier Selection Technique and a morphological algorithm, and presenting lens
models of a system, which could possibly be a lensed quasar in an unusual
configuration. We conclude with the summary statistics of the Fall 2016
campaign. Including searches presented in companion papers (Anguita et al.;
Ostrovski et al.), STRIDES followed up 117 targets identifying 7 new strongly
lensed systems, and 7 nearly identical quasars (NIQs), which could be confirmed
as lenses by the detection of the lens galaxy. 76 candidates were rejected and
27 remain otherwise inconclusive, for a success rate in the range 6-35\%. This
rate is comparable to that of previous searches like SQLS even though the
parent dataset of STRIDES is purely photometric and our selection of candidates
cannot rely on spectroscopic information.
