“…[1][2][3][4][5][6][7][8][9] Controlled swarm motion may be employed to generate flows in lab-onchip devices in conjunction with digital microfluidics, [1][2][3][4][5][10][11][12] on-chip computation as previously explored with droplet logic and neural computation, 7,13 cargo delivery, 6,[14][15][16] and for selfassembly of nano-and microdevices. 8,10,15,[17][18][19][20] Algorithms for efficient control and programming of such swarms have been extensively studied via theory 20,21 and experiment in both synthetic 22 and natural systems, from motor proteins and filaments 23,24 to single-celled organisms 2,8,25,26 to insects 27 to macroscopic robots. 20,21,28 For microbiological swarms, "interactive biology" setups have enabled both professionals and non-experts to interact and experiment with swarm agents in real-time for research and edutainment purposes, e.g., through biology cloud experimentation laboratories, 29,…”