ESR 4

[fusion_imageframe image_id="" max_width="" style_type="" blur="" stylecolor="" hover_type="none" bordersize="" bordercolor="" borderradius="" align="none" lightbox="no" gallery_id="" lightbox_image="" lightbox_image_id="" alt="" link="" linktarget="_self" hide_on_mobile="small-visibility,medium-visibility,large-visibility" class="caption-img mw-100" id="" animation_type="" animation_direction="left" animation_speed="0.3" animation_offset=""]https://iconn.network/wp-content/uploads/2024/05/UNADJUSTEDNONRAW_thumb_1dcd5-copy.jpg[/fusion_imageframe] [fusion_title hide_on_mobile="small-visibility,medium-visibility,large-visibility" class="" id="" content_align="left" size="4" font_size="" line_height="" letter_spacing="" margin_top="" margin_bottom="10px" margin_top_mobile="" margin_bottom_mobile="" text_color="" style_type="none" sep_color=""] Objectives [/fusion_title] [fusion_text columns="" column_min_width="" column_spacing="" rule_style="default" rule_size="" rule_color="" hide_on_mobile="small-visibility,medium-visibility,large-visibility" class="pod-body-text" id=""]

Using secondary data from other research projects or statistical offices:

1. To apply network-based approaches to multiple systems to explore how shifts in network topology result in novel systems in a comparative perspective;
2. To determine, via comparative analysis, if there are universal characteristics in network topology valid across multiple cases that can be used to anticipate a transition between states;
3. To explore catastrophic transitions at multiple scales in different contexts; for example, in river systems, land-use change, transitions between different sleep states, brain activity, transitions in political and energy systems.

[/fusion_text] [fusion_title hide_on_mobile="small-visibility,medium-visibility,large-visibility" class="" id="" content_align="left" size="4" font_size="" line_height="" letter_spacing="" margin_top="" margin_bottom="10px" margin_top_mobile="" margin_bottom_mobile="" text_color="" style_type="none" sep_color=""] Expected Results [/fusion_title] [fusion_text columns="" column_min_width="" column_spacing="" rule_style="default" rule_size="" rule_color="" hide_on_mobile="small-visibility,medium-visibility,large-visibility" class="pod-body-text" id=""]

1. Understanding the commonalities of changes in network topology that
2. can be used to understand the drivers and dynamics of catastrophic transitions, and
3. the potential for their reversal.

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